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b/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb @@ -7,7 +7,9 @@ "source": [ "# 71 Opening Rasters from OpenFileGDB\n", "\n", - "This notebook illustrates how to open rasters that are stored in OpenFileGDBs. Currently, QGIS can open rasters from OpenFileGDBs since version 3.32. GeoPandas and the underlying fiona package are capable of opening vector files from OpenFileGDBs. It is not planned to support raster files (https://github.com/geopandas/geopandas/issues/2793). It is not planned to implement that feature into rasterio either (https://github.com/rasterio/rasterio/discussions/2914). Therefore, the decision was made to implement the functionality to open rasters from OpenFileGDBs directly using the `gdal` package. " + "This notebook illustrates how to open rasters that are stored in OpenFileGDBs. Currently, QGIS can open rasters from OpenFileGDBs since version 3.32. GeoPandas and the underlying fiona package are capable of opening vector files from OpenFileGDBs. It is not planned to support raster files (https://github.com/geopandas/geopandas/issues/2793). It is not planned to implement that feature into rasterio either (https://github.com/rasterio/rasterio/discussions/2914). Therefore, the decision was made to implement the functionality to open rasters from OpenFileGDBs directly using the `gdal` package. \n", + "\n", + "" ] }, { From fff2fc7d8d6b33bbd541f4d3b74e8d1d333e6962 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 28 Sep 2023 08:35:26 +0200 Subject: [PATCH 02/40] EditFiles --- .gitignore | 3 +++ docs/conf.py | 10 +++++++--- gemgis/__init__.py | 2 -- pyproject.toml | 13 ++++++++----- setup.py => xsetup.py | 0 5 files changed, 18 insertions(+), 10 deletions(-) rename setup.py => xsetup.py (100%) diff --git a/.gitignore b/.gitignore index 5c066080..3b88b3a3 100644 --- a/.gitignore +++ b/.gitignore @@ -100,6 +100,7 @@ share/python-wheels/ *.egg-info/ .installed.cfg *.egg +.idea/* # PyInstaller # Usually these files are written by a python script from a template @@ -239,3 +240,5 @@ examples/models/data/* examples/notebooks/data/* gemgis/__pycache__ __pycache__ + +_version_generated.py diff --git a/docs/conf.py b/docs/conf.py index c6f7c9cc..46ee6a7e 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -16,9 +16,7 @@ copyright = "2020–2023, GemGIS Developers" author = 'Alexander Juestel' -# The full version, including alpha/beta/rc tags -release = '1.1.1' -version = release + # -- GemGIS configuration --------------------------------------------------- import os @@ -29,6 +27,12 @@ sys.path.insert(0, os.path.abspath("../gemgis/")) sys.path.insert(0, os.path.abspath("../../gemgis/")) +# The full version, including alpha/beta/rc tags + +import gemgis as gg + +version = gg.__version__ + # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be diff --git a/gemgis/__init__.py b/gemgis/__init__.py index 33477fcb..7d875c17 100644 --- a/gemgis/__init__.py +++ b/gemgis/__init__.py @@ -20,8 +20,6 @@ __version_date__ = '2023-09-23' -__version__ = '1.1.1' - __changelog__ = """What is new in version 1.1.0: diff --git a/pyproject.toml b/pyproject.toml index 07f25e1a..66d6e46a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,6 +3,9 @@ requires = ["setuptools>=68.1.2", "setuptools_scm[toml]>=6.2"] build-backend = "setuptools.build_meta" +[tool.setuptools] +package-dir = { "" = "gemgis" } + [project] name = "GemGIS" @@ -17,8 +20,8 @@ description = "Spatial data processing for geomodeling" keywords = ["dataprocessing", "modeling", "geospatial", "geographic-data", "spatial-data", "rasterdata", "vectordata", "geographic", "geomodeling"] readme = "README.md" -license = {file = LICENSE} -dynamic = ["Version"] +#license = {file = LICENSE} +dynamic = ['version'] requires-python = ">=3.8" classifiers = [ 'Development Status :: 5 - Production/Stable', @@ -32,9 +35,9 @@ classifiers = [ 'Operating System :: OS Independent', ] dependencies = [ - geopandas, - rasterio, - pyvista, + 'geopandas', + 'rasterio', + 'pyvista', ] [project.urls] Documentation = 'https://gemgis.readthedocs.io/' diff --git a/setup.py b/xsetup.py similarity index 100% rename from setup.py rename to xsetup.py From 5beb3068ee7f9115e4375fefe3509d36891e9853 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 28 Sep 2023 08:40:42 +0200 Subject: [PATCH 03/40] FurtherEdits --- MANIFEST.in | 4 +++- pyproject.toml | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index dd9abbb0..437a9f2b 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -3,4 +3,6 @@ include README.md include requirements.txt include requirements_dev.txt -recursive-exclude * __pycache__ \ No newline at end of file +recursive-exclude * __pycache__ + +exclude .git/* .idea/* \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 66d6e46a..2434be75 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,7 @@ description = "Spatial data processing for geomodeling" keywords = ["dataprocessing", "modeling", "geospatial", "geographic-data", "spatial-data", "rasterdata", "vectordata", "geographic", "geomodeling"] readme = "README.md" -#license = {file = LICENSE} +license = {file = "LICENSE"} dynamic = ['version'] requires-python = ">=3.8" classifiers = [ From f7a7784e61f443a268cdd0ed42d4acbd8b680329 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 30 Sep 2023 11:04:42 +0200 Subject: [PATCH 04/40] Edits --- ...splaying_seismic_horizons_and_faults.ipynb | 32 ++++++++++++++++++- environment_dev.yml | 1 + gemgis/download_gemgis_data.py | 12 +++++-- gemgis/misc.py | 29 +++++++---------- gemgis/raster.py | 11 +++++-- gemgis/vector.py | 2 +- 6 files changed, 64 insertions(+), 23 deletions(-) diff --git a/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb b/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb index 1964567c..9ece4e25 100644 --- a/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb +++ b/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb @@ -2211,6 +2211,7 @@ } ], "metadata": { + "hide_input": false, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", @@ -2226,7 +2227,36 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.11" + "version": "3.8.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false } }, "nbformat": 4, diff --git a/environment_dev.yml b/environment_dev.yml index fd3efeb0..ef9075bd 100644 --- a/environment_dev.yml +++ b/environment_dev.yml @@ -43,3 +43,4 @@ dependencies: - sphinx_automodapi - sphinx_numfig - numpydoc + - build diff --git a/gemgis/download_gemgis_data.py b/gemgis/download_gemgis_data.py index 1c0b62e7..a96c4d98 100644 --- a/gemgis/download_gemgis_data.py +++ b/gemgis/download_gemgis_data.py @@ -35,13 +35,17 @@ def create_pooch(storage_url: str, Base URL for the remote data source. files : List[str] A record of the files that are managed by this Pooch. - target : str, default: '' + target : str, default: ``''`` The path to the local data storage folder, e.g. ``target='Documents/gemgis/'``. Returns _______ pooch.core.Pooch Pooch class. + + See also + ________ + download_tutorial_data: Download the GemGIS data for each tutorial. """ try: import pooch @@ -67,11 +71,15 @@ def download_tutorial_data(filename: str, __________ filename : str File name to be downloaded by pooch, e.g. ``filename='file.zip'``. - dirpath : str, default: '' + dirpath : str, default: ``''`` Path to the directory where the data is being stored, default to the directory where the notebook is located, e.g. ``dirpath='Documents/gemgis/'``. storage_url : str, default 'https://rwth-aachen.sciebo.de/s/AfXRsZywYDbUF34/download?path=%2F' URL to the GemGIS data storage, default is the RWTH Aachen University Sciebo Cloud Storage. + + See also + ________ + create_pooch : Create pooch class to fetch files from a website. """ try: import pooch diff --git a/gemgis/misc.py b/gemgis/misc.py index 73443594..fb853405 100644 --- a/gemgis/misc.py +++ b/gemgis/misc.py @@ -1,5 +1,5 @@ """ -Contributors: Alexander Jüstel, Arthur Endlein Correia, Florian Wellmann, Marius Pischke +Contributors: Alexander Jüstel, Arthur Endlein Correia, Florian Wellmann, Marius Pischke. GemGIS is a Python-based, open-source spatial data processing library. It is capable of preprocessing spatial data such as vector data @@ -33,23 +33,21 @@ def load_pdf(path: str, save_as_txt: bool = True) -> str: - """Function to load pdf containing borehole data + """ + Load PDF file containing borehole data. Parameters __________ - path : str - Name of the PDF file, e.g. ``path='file.pdf'`` - - save_as_txt : bool + Name of the PDF file, e.g. ``path='file.pdf'``. + save_as_txt : bool, default: ``True`` Variable to save the extracted data as txt file. - Options include: ``True`` or ``False``, default set to ``True`` + Options include: ``True`` or ``False``. Returns _______ - - page_content : str - Extracted page content from borehole data + str + Extracted page content from borehole data. .. versionadded:: 1.0.x @@ -66,14 +64,11 @@ def load_pdf(path: str, See Also ________ - - get_meta_data : Getting the meta data of a well - get_meta_data_df : Getting the meta data of wells as DataFrame - get_stratigraphic_data : Getting the stratigraphic data of a well - get_stratigraphic_data_df : Getting the stratigraphic data of wells as DataFrame - + get_meta_data : Get the meta data of a well. + get_meta_data_df : Get the meta data of wells as DataFrame. + get_stratigraphic_data : Get the stratigraphic data of a well. + get_stratigraphic_data_df : Get the stratigraphic data of wells as DataFrame. """ - # Trying to import PyPDF2 but returning error if tqdm is not installed try: import PyPDF2 diff --git a/gemgis/raster.py b/gemgis/raster.py index 44c564a1..8f619bec 100644 --- a/gemgis/raster.py +++ b/gemgis/raster.py @@ -2716,7 +2716,8 @@ def extract_contour_lines_from_raster(raster: Union[rasterio.io.DatasetReader, n def read_raster_gdb(path: str, crs: Union[str, pyproj.crs.crs.CRS, - rasterio.crs.CRS] = None): + rasterio.crs.CRS] = None, + path_out: str = ''): """Read Raster from OpenFileGDB. Parameters @@ -2725,6 +2726,8 @@ def read_raster_gdb(path: str, Path to the OpenFileGDB. crs : str, pyproj.crs.crs.CRS, rasterio.crs.CRS Coordinate Reference System of the dataset. + path_out : str + Output folder path .. versionadded:: 1.1.1 @@ -2739,6 +2742,10 @@ def read_raster_gdb(path: str, if not isinstance(path, str): raise TypeError('Path to the OpenFileGDB must be provided as string') + # Checking that the output path is of type string + if not isinstance(path_out, str): + raise TypeError('Output path must be provided as string') + # Opening Database ds = gdal.Open(path) @@ -2768,7 +2775,7 @@ def read_raster_gdb(path: str, # Saving raster to file with rasterio.open( - ds.GetSubDatasets()[i][1].replace(' ', '') + '.tif', + path_out + ds.GetSubDatasets()[i][1].replace(' ', '') + '.tif', 'w', driver='GTiff', height=raster.shape[0], diff --git a/gemgis/vector.py b/gemgis/vector.py index 506339ee..1047e322 100644 --- a/gemgis/vector.py +++ b/gemgis/vector.py @@ -623,7 +623,7 @@ def extract_xy(gdf: gpd.geodataframe.GeoDataFrame, .. versionchanged:: 1.1 If a GeoDataFrame contains LineStrings and MultiLineStrings, the index of the exploded GeoDataFrame will now - be reset. Not resetting the index will cause index errors later on. + be reset. Not resetting the index will cause index errors later on. Example _______ From 102c7abe2212bf3fbfd23ad55f6d3233163067f1 Mon Sep 17 00:00:00 2001 From: Jonathan Pelham Date: Tue, 15 Aug 2023 13:50:01 +0100 Subject: [PATCH 05/40] Fixed issue found in https://github.com/cgre-aachen/gemgis/issues/294 --- gemgis/raster.py | 22 +++++++++++----------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/gemgis/raster.py b/gemgis/raster.py index b2373113..a3e688c1 100644 --- a/gemgis/raster.py +++ b/gemgis/raster.py @@ -2573,17 +2573,17 @@ def reproject_raster(path_in: str, 'height': height }) - # Writing the Destination DataSet - with rasterio.open(path_out, 'w', **kwargs) as dst: - for i in range(1, src.count + 1): - reproject( - source=rasterio.band(src, i), - destination=rasterio.band(dst, i), - src_transform=src.transform, - src_crs=src.crs, - dst_transform=transform, - dst_crs=dst_crs, - resampling=Resampling.nearest) + # Writing the Destination DataSet + with rasterio.open(path_out, 'w', **kwargs) as dst: + for i in range(1, src.count + 1): + reproject( + source=rasterio.band(src, i), + destination=rasterio.band(dst, i), + src_transform=src.transform, + src_crs=src.crs, + dst_transform=transform, + dst_crs=dst_crs, + resampling=Resampling.nearest) def extract_contour_lines_from_raster(raster: Union[rasterio.io.DatasetReader, np.ndarray, str], From 10121f6b2afb3f81b4c0c653c44cdc5e04e01c0c Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 15 Aug 2023 18:08:44 +0200 Subject: [PATCH 06/40] AddComment --- gemgis/raster.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/gemgis/raster.py b/gemgis/raster.py index a3e688c1..f73b6c82 100644 --- a/gemgis/raster.py +++ b/gemgis/raster.py @@ -2509,6 +2509,9 @@ def reproject_raster(path_in: str, .. versionadded:: 1.0.x + .. versionchanged:: 1.1 + Fixing an issue where the file would be closed too soon, see https://github.com/cgre-aachen/gemgis/issues/294 + Example _______ From 023e79293ed06347c98ef51f901f60e17b359e67 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 15 Aug 2023 20:21:35 +0200 Subject: [PATCH 07/40] EditAPIReference --- docs/getting_started/api.rst | 413 ----------------------------------- 1 file changed, 413 deletions(-) diff --git a/docs/getting_started/api.rst b/docs/getting_started/api.rst index 7c13f959..030b5c1d 100644 --- a/docs/getting_started/api.rst +++ b/docs/getting_started/api.rst @@ -20,417 +20,4 @@ The following methods are used to extract X and Y coordinates or X, Y, and Z coo :toctree: reference/vector_api gemgis.vector.extract_xy - gemgis.vector.extract_xy_linestring - gemgis.vector.extract_xy_linestrings - gemgis.vector.extract_xy_points - gemgis.vector.extract_xyz - gemgis.vector.extract_xyz_array - gemgis.vector.extract_xyz_rasterio - gemgis.vector.extract_xyz_points - gemgis.vector.extract_xyz_linestrings - gemgis.vector.extract_xyz_polygons - -Extracting Coordinates and Intersections from GeoDataFrames/Shapely Polygons -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to extract coordinates and intersections from GeoDataFrames containing Shapely Polygons -or from single Shapely Polygons or multiple Shapely Polygons. - - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.extract_xy_from_polygon_intersections - gemgis.vector.intersection_polygon_polygon - gemgis.vector.intersections_polygon_polygons - gemgis.vector.intersections_polygons_polygons - - -Calculating and extracting coordinates from cross sections -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to calculate and extract coordinates from cross sections where data was stored as Shape -Files and is now loaded as GeoDataFrames. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.extract_interfaces_coordinates_from_cross_section - gemgis.vector.extract_xyz_from_cross_sections - gemgis.vector.calculate_coordinates_for_point_on_cross_section - gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections - gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections - gemgis.vector.extract_interfaces_coordinates_from_cross_section - -Calculating and extracting angles from cross sections and maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to calculate and extract angles from cross sections. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.calculate_angle - gemgis.vector.calculate_azimuth - gemgis.vector.calculate_strike_direction_straight_linestring - gemgis.vector.calculate_strike_direction_bent_linestring - gemgis.vector.calculate_dipping_angle_linestring - gemgis.vector.calculate_dipping_angles_linestrings - gemgis.vector.calculate_orientation_from_bent_cross_section - gemgis.vector.calculate_orientation_from_cross_section - gemgis.vector.calculate_orientations_from_cross_section - gemgis.vector.extract_orientations_from_cross_sections - gemgis.vector.extract_orientations_from_map - gemgis.vector.calculate_orientations_from_strike_lines - gemgis.vector.calculate_orientation_for_three_point_problem - - -Exploding Geometries -~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to explode geometries for further usage in GemGIS - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.explode_linestring - gemgis.vector.explode_linestring_to_elements - gemgis.vector.explode_multilinestring - gemgis.vector.explode_multilinestrings - gemgis.vector.explode_polygon - gemgis.vector.explode_polygons - gemgis.vector.explode_geometry_collection - gemgis.vector.explode_geometry_collections - -Removing Points within Buffers -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to remove Points within Buffers. This can be used to remove interface points in the -vicinity of faults. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.remove_object_within_buffer - gemgis.vector.remove_objects_within_buffer - gemgis.vector.remove_interfaces_within_fault_buffers - - -Vector Methods for Raster Data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to work with raster data - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.interpolate_raster - - - -Working with GPX Data -~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to work with GPX data - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.load_gpx - gemgis.vector.load_gpx_as_dict - gemgis.vector.load_gpx_as_geometry - - -Miscellaneous vector data methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further vector data methods used in GemGIS - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.calculate_distance_linestrings - gemgis.vector.calculate_midpoint_linestring - gemgis.vector.calculate_midpoints_linestrings - gemgis.vector.clip_by_bbox - gemgis.vector.clip_by_polygon - gemgis.vector.create_bbox - gemgis.vector.create_buffer - gemgis.vector.create_unified_buffer - gemgis.vector.create_linestring_from_points - gemgis.vector.create_linestring_from_xyz_points - gemgis.vector.create_linestring_gdf - gemgis.vector.create_linestrings_from_contours - gemgis.vector.create_linestrings_from_xyz_points - gemgis.vector.create_polygons_from_faces - gemgis.vector.unify_linestrings - gemgis.vector.unify_polygons - - -Special Methods -~~~~~~~~~~~~~~~~ - -The following methods are special methods used in GemGIS - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.set_dtype - gemgis.vector.sort_by_stratigraphy - gemgis.vector.subtract_geom_objects - gemgis.vector.create_hexagon - gemgis.vector.create_hexagon_grid - gemgis.vector.create_voronoi_polygons - -Raster -______ - -The following sections provide an overview of the methods implemented in the GemGIS Raster module. - -Raster Calculations -~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to perform calculations on rasters - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.calculate_aspect - gemgis.raster.calculate_difference - gemgis.raster.calculate_hillshades - gemgis.raster.calculate_slope - - -Sampling from a Raster -~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to sample values from a raster - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.sample_from_array - gemgis.raster.sample_from_rasterio - gemgis.raster.sample_interfaces - gemgis.raster.sample_orientations - gemgis.raster.sample_randomly - -Reading different raster formats -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to read different raster formats into Python - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.read_asc - gemgis.raster.read_msh - gemgis.raster.read_ts - gemgis.raster.read_zmap - -Miscellaneous raster data methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further raster data methods used in GemGIS - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.clip_by_bbox - gemgis.raster.clip_by_polygon - gemgis.raster.create_filepaths - gemgis.raster.extract_contour_lines_from_raster - gemgis.raster.merge_tiles - gemgis.raster.reproject_raster - gemgis.raster.resize_by_array - gemgis.raster.resize_raster - gemgis.raster.save_as_tiff - - -Visualization -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Visualization module. - - -Creating PolyData and Grid Data from GeoDataFrames, Rasters, and GemPy Models -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to create PolyData from various input data formats. - -.. autosummary:: - :toctree: reference/visualization_api - - gemgis.visualization.create_depth_map - gemgis.visualization.create_depth_maps_from_gempy - gemgis.visualization.create_thickness_maps - gemgis.visualization.create_temperature_map - gemgis.visualization.create_delaunay_mesh_from_gdf - gemgis.visualization.create_dem_3d - gemgis.visualization.create_lines_3d_linestrings - gemgis.visualization.create_lines_3d_polydata - gemgis.visualization.create_mesh_from_cross_section - gemgis.visualization.create_meshes_from_cross_sections - gemgis.visualization.create_meshes_hypocenters - gemgis.visualization.create_points_3d - gemgis.visualization.create_polydata_from_dxf - gemgis.visualization.create_polydata_from_msh - gemgis.visualization.create_polydata_from_ts - gemgis.visualization.create_structured_grid_from_asc - gemgis.visualization.create_structured_grid_from_zmap - - - -Working with Boreholes -~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to work with boreholes in GemGIS. - -.. autosummary:: - :toctree: reference/visualization_api - - gemgis.visualization.add_row_to_boreholes - gemgis.visualization.create_borehole_labels - gemgis.visualization.create_borehole_tube - gemgis.visualization.create_borehole_tubes - gemgis.visualization.create_boreholes_3d - gemgis.visualization.create_lines_from_points - gemgis.visualization.create_deviated_borehole_df - gemgis.visualization.create_deviated_boreholes_3d - gemgis.visualization.group_borehole_dataframe - gemgis.visualization.resample_between_well_deviation_points - gemgis.visualization.show_well_log_along_well - -Miscellaneous visualization methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further visualization methods used in GemGIS. - -.. autosummary:: - :toctree: reference/visualization_api - - gemgis.visualization.calculate_vector - gemgis.visualization.clip_seismic_data - gemgis.visualization.convert_to_rgb - gemgis.visualization.drape_array_over_dem - gemgis.visualization.get_batlow_cmap - gemgis.visualization.get_color_lot - gemgis.visualization.get_mesh_geological_map - gemgis.visualization.get_petrel_cmap - gemgis.visualization.get_points_along_spline - gemgis.visualization.get_seismic_cmap - gemgis.visualization.plane_through_hypocenters - gemgis.visualization.plot_data - gemgis.visualization.plot_orientations - gemgis.visualization.polyline_from_points - gemgis.visualization.read_raster - gemgis.visualization.seismic_to_array - gemgis.visualization.seismic_to_mesh - -Utils -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Utils module. - -Miscellaneous utils methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further visualization methods used in GemGIS. - -.. autosummary:: - :toctree: reference/utils_api - - gemgis.utils.assign_properties - gemgis.utils.build_style_dict - gemgis.utils.parse_categorized_qml - gemgis.utils.load_surface_colors - gemgis.utils.create_surface_color_dict - gemgis.utils.calculate_lines - gemgis.utils.calculate_number_of_isopoints - gemgis.utils.convert_location_dict_to_gdf - gemgis.utils.convert_to_gempy_df - gemgis.utils.convert_to_petrel_points_with_attributes - gemgis.utils.create_polygon_from_location - gemgis.utils.create_virtual_profile - gemgis.utils.create_zmap_grid - gemgis.utils.extract_zmap_data - gemgis.utils.get_location_coordinate - gemgis.utils.get_locations - gemgis.utils.get_nearest_neighbor - gemgis.utils.getfeatures - gemgis.utils.interpolate_strike_lines - gemgis.utils.ray_trace_multiple_surfaces - gemgis.utils.ray_trace_one_surface - gemgis.utils.read_csv_as_gdf - gemgis.utils.save_zmap_grid - gemgis.utils.set_extent - gemgis.utils.set_resolution - gemgis.utils.show_number_of_data_points - gemgis.utils.to_section_dict - gemgis.utils.transform_location_coordinate - -Web -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Web module. - -.. autosummary:: - :toctree: reference/web_api - - gemgis.web.create_request - gemgis.web.load_as_array - gemgis.web.load_as_file - gemgis.web.load_as_files - gemgis.web.load_as_gpd - gemgis.web.load_as_map - gemgis.web.load_wcs - gemgis.web.load_wfs - gemgis.web.load_wms - -Miscellaneous -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Misc module. - -.. autosummary:: - :toctree: reference/misc_api - - gemgis.misc.get_meta_data - gemgis.misc.get_meta_data_df - gemgis.misc.get_stratigraphic_data - gemgis.misc.get_stratigraphic_data_df - gemgis.misc.load_formations - gemgis.misc.load_pdf - gemgis.misc.load_symbols - - -Postprocessing -______________ - -The following section provides an overview of the methods implemented in the GemGIS postprocessing module. - -.. autosummary:: - :toctree: reference/postprocessing_api - - gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh - gemgis.postprocessing.create_attributes - gemgis.postprocessing.create_subelement - gemgis.postprocessing.create_symbol - gemgis.postprocessing.crop_block_to_topography - gemgis.postprocessing.extract_borehole - gemgis.postprocessing.extract_lithologies - gemgis.postprocessing.extract_orientations_from_mesh - gemgis.postprocessing.save_model - gemgis.postprocessing.save_qgis_qml_file - -Download GemGIS Data -_____________________ - -The following section provides an overview of the methods implemented in the GemGIS module that downloads the tutorial data. - -.. autosummary:: - :toctree: reference/download_gemgis_data_api - - gemgis.download_gemgis_data.create_pooch - gemgis.download_gemgis_data.download_tutorial_data \ No newline at end of file From 68468e6bacbe9cec6891b07ab95a206f130024b3 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 15 Aug 2023 21:24:28 +0200 Subject: [PATCH 08/40] EditAPIReference --- .readthedocs.yaml | 3 + docs/getting_started/api.rst | 414 +++++++++++++++++++++++++++++++++++ 2 files changed, 417 insertions(+) diff --git a/.readthedocs.yaml b/.readthedocs.yaml index b39e1ad3..3c308e68 100644 --- a/.readthedocs.yaml +++ b/.readthedocs.yaml @@ -19,6 +19,9 @@ formats: # Optionally set the version of Python and requirements required to build your docs python: version: 3.8 + install: + - method: pip + path: . conda: environment: environment_dev.yml \ No newline at end of file diff --git a/docs/getting_started/api.rst b/docs/getting_started/api.rst index 030b5c1d..29f60839 100644 --- a/docs/getting_started/api.rst +++ b/docs/getting_started/api.rst @@ -21,3 +21,417 @@ The following methods are used to extract X and Y coordinates or X, Y, and Z coo gemgis.vector.extract_xy + gemgis.vector.extract_xy_linestring + gemgis.vector.extract_xy_linestrings + gemgis.vector.extract_xy_points + gemgis.vector.extract_xyz + gemgis.vector.extract_xyz_array + gemgis.vector.extract_xyz_rasterio + gemgis.vector.extract_xyz_points + gemgis.vector.extract_xyz_linestrings + gemgis.vector.extract_xyz_polygons + + +Extracting Coordinates and Intersections from GeoDataFrames/Shapely Polygons +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to extract coordinates and intersections from GeoDataFrames containing Shapely Polygons +or from single Shapely Polygons or multiple Shapely Polygons. + + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.extract_xy_from_polygon_intersections + gemgis.vector.intersection_polygon_polygon + gemgis.vector.intersections_polygon_polygons + gemgis.vector.intersections_polygons_polygons + + +Calculating and extracting coordinates from cross sections +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to calculate and extract coordinates from cross sections where data was stored as Shape +Files and is now loaded as GeoDataFrames. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.extract_interfaces_coordinates_from_cross_section + gemgis.vector.extract_xyz_from_cross_sections + gemgis.vector.calculate_coordinates_for_point_on_cross_section + gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections + gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections + gemgis.vector.extract_interfaces_coordinates_from_cross_section + +Calculating and extracting angles from cross sections and maps +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to calculate and extract angles from cross sections. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.calculate_angle + gemgis.vector.calculate_azimuth + gemgis.vector.calculate_strike_direction_straight_linestring + gemgis.vector.calculate_strike_direction_bent_linestring + gemgis.vector.calculate_dipping_angle_linestring + gemgis.vector.calculate_dipping_angles_linestrings + gemgis.vector.calculate_orientation_from_bent_cross_section + gemgis.vector.calculate_orientation_from_cross_section + gemgis.vector.calculate_orientations_from_cross_section + gemgis.vector.extract_orientations_from_cross_sections + gemgis.vector.extract_orientations_from_map + gemgis.vector.calculate_orientations_from_strike_lines + gemgis.vector.calculate_orientation_for_three_point_problem + + +Exploding Geometries +~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to explode geometries for further usage in GemGIS + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.explode_linestring + gemgis.vector.explode_linestring_to_elements + gemgis.vector.explode_multilinestring + gemgis.vector.explode_multilinestrings + gemgis.vector.explode_polygon + gemgis.vector.explode_polygons + gemgis.vector.explode_geometry_collection + gemgis.vector.explode_geometry_collections + +Removing Points within Buffers +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to remove Points within Buffers. This can be used to remove interface points in the +vicinity of faults. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.remove_object_within_buffer + gemgis.vector.remove_objects_within_buffer + gemgis.vector.remove_interfaces_within_fault_buffers + + +Vector Methods for Raster Data +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to work with raster data + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.interpolate_raster + + + +Working with GPX Data +~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to work with GPX data + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.load_gpx + gemgis.vector.load_gpx_as_dict + gemgis.vector.load_gpx_as_geometry + + +Miscellaneous vector data methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further vector data methods used in GemGIS + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.calculate_distance_linestrings + gemgis.vector.calculate_midpoint_linestring + gemgis.vector.calculate_midpoints_linestrings + gemgis.vector.clip_by_bbox + gemgis.vector.clip_by_polygon + gemgis.vector.create_bbox + gemgis.vector.create_buffer + gemgis.vector.create_unified_buffer + gemgis.vector.create_linestring_from_points + gemgis.vector.create_linestring_from_xyz_points + gemgis.vector.create_linestring_gdf + gemgis.vector.create_linestrings_from_contours + gemgis.vector.create_linestrings_from_xyz_points + gemgis.vector.create_polygons_from_faces + gemgis.vector.unify_linestrings + gemgis.vector.unify_polygons + + +Special Methods +~~~~~~~~~~~~~~~~ + +The following methods are special methods used in GemGIS + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.set_dtype + gemgis.vector.sort_by_stratigraphy + gemgis.vector.subtract_geom_objects + gemgis.vector.create_hexagon + gemgis.vector.create_hexagon_grid + gemgis.vector.create_voronoi_polygons + +Raster +______ + +The following sections provide an overview of the methods implemented in the GemGIS Raster module. + +Raster Calculations +~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to perform calculations on rasters + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.calculate_aspect + gemgis.raster.calculate_difference + gemgis.raster.calculate_hillshades + gemgis.raster.calculate_slope + + +Sampling from a Raster +~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to sample values from a raster + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.sample_from_array + gemgis.raster.sample_from_rasterio + gemgis.raster.sample_interfaces + gemgis.raster.sample_orientations + gemgis.raster.sample_randomly + +Reading different raster formats +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to read different raster formats into Python + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.read_asc + gemgis.raster.read_msh + gemgis.raster.read_ts + gemgis.raster.read_zmap + +Miscellaneous raster data methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further raster data methods used in GemGIS + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.clip_by_bbox + gemgis.raster.clip_by_polygon + gemgis.raster.create_filepaths + gemgis.raster.extract_contour_lines_from_raster + gemgis.raster.merge_tiles + gemgis.raster.reproject_raster + gemgis.raster.resize_by_array + gemgis.raster.resize_raster + gemgis.raster.save_as_tiff + + +Visualization +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Visualization module. + + +Creating PolyData and Grid Data from GeoDataFrames, Rasters, and GemPy Models +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to create PolyData from various input data formats. + +.. autosummary:: + :toctree: reference/visualization_api + + gemgis.visualization.create_depth_map + gemgis.visualization.create_depth_maps_from_gempy + gemgis.visualization.create_thickness_maps + gemgis.visualization.create_temperature_map + gemgis.visualization.create_delaunay_mesh_from_gdf + gemgis.visualization.create_dem_3d + gemgis.visualization.create_lines_3d_linestrings + gemgis.visualization.create_lines_3d_polydata + gemgis.visualization.create_mesh_from_cross_section + gemgis.visualization.create_meshes_from_cross_sections + gemgis.visualization.create_meshes_hypocenters + gemgis.visualization.create_points_3d + gemgis.visualization.create_polydata_from_dxf + gemgis.visualization.create_polydata_from_msh + gemgis.visualization.create_polydata_from_ts + gemgis.visualization.create_structured_grid_from_asc + gemgis.visualization.create_structured_grid_from_zmap + + + +Working with Boreholes +~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to work with boreholes in GemGIS. + +.. autosummary:: + :toctree: reference/visualization_api + + gemgis.visualization.add_row_to_boreholes + gemgis.visualization.create_borehole_labels + gemgis.visualization.create_borehole_tube + gemgis.visualization.create_borehole_tubes + gemgis.visualization.create_boreholes_3d + gemgis.visualization.create_lines_from_points + gemgis.visualization.create_deviated_borehole_df + gemgis.visualization.create_deviated_boreholes_3d + gemgis.visualization.group_borehole_dataframe + gemgis.visualization.resample_between_well_deviation_points + gemgis.visualization.show_well_log_along_well + +Miscellaneous visualization methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further visualization methods used in GemGIS. + +.. autosummary:: + :toctree: reference/visualization_api + + gemgis.visualization.calculate_vector + gemgis.visualization.clip_seismic_data + gemgis.visualization.convert_to_rgb + gemgis.visualization.drape_array_over_dem + gemgis.visualization.get_batlow_cmap + gemgis.visualization.get_color_lot + gemgis.visualization.get_mesh_geological_map + gemgis.visualization.get_petrel_cmap + gemgis.visualization.get_points_along_spline + gemgis.visualization.get_seismic_cmap + gemgis.visualization.plane_through_hypocenters + gemgis.visualization.plot_data + gemgis.visualization.plot_orientations + gemgis.visualization.polyline_from_points + gemgis.visualization.read_raster + gemgis.visualization.seismic_to_array + gemgis.visualization.seismic_to_mesh + +Utils +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Utils module. + +Miscellaneous utils methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further visualization methods used in GemGIS. + +.. autosummary:: + :toctree: reference/utils_api + + gemgis.utils.assign_properties + gemgis.utils.build_style_dict + gemgis.utils.parse_categorized_qml + gemgis.utils.load_surface_colors + gemgis.utils.create_surface_color_dict + gemgis.utils.calculate_lines + gemgis.utils.calculate_number_of_isopoints + gemgis.utils.convert_location_dict_to_gdf + gemgis.utils.convert_to_gempy_df + gemgis.utils.convert_to_petrel_points_with_attributes + gemgis.utils.create_polygon_from_location + gemgis.utils.create_virtual_profile + gemgis.utils.create_zmap_grid + gemgis.utils.extract_zmap_data + gemgis.utils.get_location_coordinate + gemgis.utils.get_locations + gemgis.utils.get_nearest_neighbor + gemgis.utils.getfeatures + gemgis.utils.interpolate_strike_lines + gemgis.utils.ray_trace_multiple_surfaces + gemgis.utils.ray_trace_one_surface + gemgis.utils.read_csv_as_gdf + gemgis.utils.save_zmap_grid + gemgis.utils.set_extent + gemgis.utils.set_resolution + gemgis.utils.show_number_of_data_points + gemgis.utils.to_section_dict + gemgis.utils.transform_location_coordinate + +Web +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Web module. + +.. autosummary:: + :toctree: reference/web_api + + gemgis.web.create_request + gemgis.web.load_as_array + gemgis.web.load_as_file + gemgis.web.load_as_files + gemgis.web.load_as_gpd + gemgis.web.load_as_map + gemgis.web.load_wcs + gemgis.web.load_wfs + gemgis.web.load_wms + +Miscellaneous +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Misc module. + +.. autosummary:: + :toctree: reference/misc_api + + gemgis.misc.get_meta_data + gemgis.misc.get_meta_data_df + gemgis.misc.get_stratigraphic_data + gemgis.misc.get_stratigraphic_data_df + gemgis.misc.load_formations + gemgis.misc.load_pdf + gemgis.misc.load_symbols + + +Postprocessing +______________ + +The following section provides an overview of the methods implemented in the GemGIS postprocessing module. + +.. autosummary:: + :toctree: reference/postprocessing_api + + gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh + gemgis.postprocessing.create_attributes + gemgis.postprocessing.create_subelement + gemgis.postprocessing.create_symbol + gemgis.postprocessing.crop_block_to_topography + gemgis.postprocessing.extract_borehole + gemgis.postprocessing.extract_lithologies + gemgis.postprocessing.extract_orientations_from_mesh + gemgis.postprocessing.save_model + gemgis.postprocessing.save_qgis_qml_file + +Download GemGIS Data +_____________________ + +The following section provides an overview of the methods implemented in the GemGIS module that downloads the tutorial data. + +.. autosummary:: + :toctree: reference/download_gemgis_data_api + + gemgis.download_gemgis_data.create_pooch + gemgis.download_gemgis_data.download_tutorial_data \ No newline at end of file From bff80321e95d7a07c04b56ce0a71feb817e85245 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 15 Aug 2023 21:50:30 +0200 Subject: [PATCH 09/40] EditFiles --- docs/conf.py | 2 +- setup.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/conf.py b/docs/conf.py index 135f07eb..0875dd95 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -17,7 +17,7 @@ author = 'Alexander Juestel' # The full version, including alpha/beta/rc tags -release = '1.1' +release = '1.0.11' version = release # -- GemGIS configuration --------------------------------------------------- diff --git a/setup.py b/setup.py index b222ed9e..bfbc99f3 100644 --- a/setup.py +++ b/setup.py @@ -1,7 +1,7 @@ from setuptools import setup, find_packages from os import path -version = '1.1' +version = '1.0.11' # Loading Readme for Description on PyPi this_directory = path.abspath(path.dirname(__file__)) From 8d56f0e2e0c0a47b12da76645215f68d1399de83 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 15 Aug 2023 22:22:58 +0200 Subject: [PATCH 10/40] EditAPIReference --- docs/getting_started/api.rst | 418 ----------------------------------- 1 file changed, 418 deletions(-) diff --git a/docs/getting_started/api.rst b/docs/getting_started/api.rst index 29f60839..7566026d 100644 --- a/docs/getting_started/api.rst +++ b/docs/getting_started/api.rst @@ -6,424 +6,6 @@ GemGIS API Reference The API reference provides an overview of all functions and methods implemented in GemGIS. -Vector -______ - -The following sections provide an overview of the methods implemented in the GemGIS Vector module. - -Extracting Coordinates from GeoDataFrames -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to extract X and Y coordinates or X, Y, and Z coordinates from GeoDataFrames or Shapely Base Geometries for further usage. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.extract_xy - - gemgis.vector.extract_xy_linestring - gemgis.vector.extract_xy_linestrings - gemgis.vector.extract_xy_points - gemgis.vector.extract_xyz - gemgis.vector.extract_xyz_array - gemgis.vector.extract_xyz_rasterio - gemgis.vector.extract_xyz_points - gemgis.vector.extract_xyz_linestrings - gemgis.vector.extract_xyz_polygons - - -Extracting Coordinates and Intersections from GeoDataFrames/Shapely Polygons -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to extract coordinates and intersections from GeoDataFrames containing Shapely Polygons -or from single Shapely Polygons or multiple Shapely Polygons. - - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.extract_xy_from_polygon_intersections - gemgis.vector.intersection_polygon_polygon - gemgis.vector.intersections_polygon_polygons - gemgis.vector.intersections_polygons_polygons - - -Calculating and extracting coordinates from cross sections -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to calculate and extract coordinates from cross sections where data was stored as Shape -Files and is now loaded as GeoDataFrames. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.extract_interfaces_coordinates_from_cross_section - gemgis.vector.extract_xyz_from_cross_sections - gemgis.vector.calculate_coordinates_for_point_on_cross_section - gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections - gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections - gemgis.vector.extract_interfaces_coordinates_from_cross_section - -Calculating and extracting angles from cross sections and maps -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to calculate and extract angles from cross sections. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.calculate_angle - gemgis.vector.calculate_azimuth - gemgis.vector.calculate_strike_direction_straight_linestring - gemgis.vector.calculate_strike_direction_bent_linestring - gemgis.vector.calculate_dipping_angle_linestring - gemgis.vector.calculate_dipping_angles_linestrings - gemgis.vector.calculate_orientation_from_bent_cross_section - gemgis.vector.calculate_orientation_from_cross_section - gemgis.vector.calculate_orientations_from_cross_section - gemgis.vector.extract_orientations_from_cross_sections - gemgis.vector.extract_orientations_from_map - gemgis.vector.calculate_orientations_from_strike_lines - gemgis.vector.calculate_orientation_for_three_point_problem - - -Exploding Geometries -~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to explode geometries for further usage in GemGIS - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.explode_linestring - gemgis.vector.explode_linestring_to_elements - gemgis.vector.explode_multilinestring - gemgis.vector.explode_multilinestrings - gemgis.vector.explode_polygon - gemgis.vector.explode_polygons - gemgis.vector.explode_geometry_collection - gemgis.vector.explode_geometry_collections - -Removing Points within Buffers -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to remove Points within Buffers. This can be used to remove interface points in the -vicinity of faults. - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.remove_object_within_buffer - gemgis.vector.remove_objects_within_buffer - gemgis.vector.remove_interfaces_within_fault_buffers - - -Vector Methods for Raster Data -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to work with raster data - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.interpolate_raster - - - -Working with GPX Data -~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to work with GPX data - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.load_gpx - gemgis.vector.load_gpx_as_dict - gemgis.vector.load_gpx_as_geometry - - -Miscellaneous vector data methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further vector data methods used in GemGIS - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.calculate_distance_linestrings - gemgis.vector.calculate_midpoint_linestring - gemgis.vector.calculate_midpoints_linestrings - gemgis.vector.clip_by_bbox - gemgis.vector.clip_by_polygon - gemgis.vector.create_bbox - gemgis.vector.create_buffer - gemgis.vector.create_unified_buffer - gemgis.vector.create_linestring_from_points - gemgis.vector.create_linestring_from_xyz_points - gemgis.vector.create_linestring_gdf - gemgis.vector.create_linestrings_from_contours - gemgis.vector.create_linestrings_from_xyz_points - gemgis.vector.create_polygons_from_faces - gemgis.vector.unify_linestrings - gemgis.vector.unify_polygons - - -Special Methods -~~~~~~~~~~~~~~~~ - -The following methods are special methods used in GemGIS - -.. autosummary:: - :toctree: reference/vector_api - - gemgis.vector.set_dtype - gemgis.vector.sort_by_stratigraphy - gemgis.vector.subtract_geom_objects - gemgis.vector.create_hexagon - gemgis.vector.create_hexagon_grid - gemgis.vector.create_voronoi_polygons - -Raster -______ - -The following sections provide an overview of the methods implemented in the GemGIS Raster module. - -Raster Calculations -~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to perform calculations on rasters - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.calculate_aspect - gemgis.raster.calculate_difference - gemgis.raster.calculate_hillshades - gemgis.raster.calculate_slope - - -Sampling from a Raster -~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to sample values from a raster - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.sample_from_array - gemgis.raster.sample_from_rasterio - gemgis.raster.sample_interfaces - gemgis.raster.sample_orientations - gemgis.raster.sample_randomly - -Reading different raster formats -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to read different raster formats into Python - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.read_asc - gemgis.raster.read_msh - gemgis.raster.read_ts - gemgis.raster.read_zmap - -Miscellaneous raster data methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further raster data methods used in GemGIS - -.. autosummary:: - :toctree: reference/raster_api - - gemgis.raster.clip_by_bbox - gemgis.raster.clip_by_polygon - gemgis.raster.create_filepaths - gemgis.raster.extract_contour_lines_from_raster - gemgis.raster.merge_tiles - gemgis.raster.reproject_raster - gemgis.raster.resize_by_array - gemgis.raster.resize_raster - gemgis.raster.save_as_tiff - - -Visualization -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Visualization module. - - -Creating PolyData and Grid Data from GeoDataFrames, Rasters, and GemPy Models -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to create PolyData from various input data formats. - -.. autosummary:: - :toctree: reference/visualization_api - - gemgis.visualization.create_depth_map - gemgis.visualization.create_depth_maps_from_gempy - gemgis.visualization.create_thickness_maps - gemgis.visualization.create_temperature_map - gemgis.visualization.create_delaunay_mesh_from_gdf - gemgis.visualization.create_dem_3d - gemgis.visualization.create_lines_3d_linestrings - gemgis.visualization.create_lines_3d_polydata - gemgis.visualization.create_mesh_from_cross_section - gemgis.visualization.create_meshes_from_cross_sections - gemgis.visualization.create_meshes_hypocenters - gemgis.visualization.create_points_3d - gemgis.visualization.create_polydata_from_dxf - gemgis.visualization.create_polydata_from_msh - gemgis.visualization.create_polydata_from_ts - gemgis.visualization.create_structured_grid_from_asc - gemgis.visualization.create_structured_grid_from_zmap - - - -Working with Boreholes -~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are used to work with boreholes in GemGIS. - -.. autosummary:: - :toctree: reference/visualization_api - - gemgis.visualization.add_row_to_boreholes - gemgis.visualization.create_borehole_labels - gemgis.visualization.create_borehole_tube - gemgis.visualization.create_borehole_tubes - gemgis.visualization.create_boreholes_3d - gemgis.visualization.create_lines_from_points - gemgis.visualization.create_deviated_borehole_df - gemgis.visualization.create_deviated_boreholes_3d - gemgis.visualization.group_borehole_dataframe - gemgis.visualization.resample_between_well_deviation_points - gemgis.visualization.show_well_log_along_well - -Miscellaneous visualization methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further visualization methods used in GemGIS. - -.. autosummary:: - :toctree: reference/visualization_api - - gemgis.visualization.calculate_vector - gemgis.visualization.clip_seismic_data - gemgis.visualization.convert_to_rgb - gemgis.visualization.drape_array_over_dem - gemgis.visualization.get_batlow_cmap - gemgis.visualization.get_color_lot - gemgis.visualization.get_mesh_geological_map - gemgis.visualization.get_petrel_cmap - gemgis.visualization.get_points_along_spline - gemgis.visualization.get_seismic_cmap - gemgis.visualization.plane_through_hypocenters - gemgis.visualization.plot_data - gemgis.visualization.plot_orientations - gemgis.visualization.polyline_from_points - gemgis.visualization.read_raster - gemgis.visualization.seismic_to_array - gemgis.visualization.seismic_to_mesh - -Utils -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Utils module. - -Miscellaneous utils methods -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ - -The following methods are further visualization methods used in GemGIS. - -.. autosummary:: - :toctree: reference/utils_api - - gemgis.utils.assign_properties - gemgis.utils.build_style_dict - gemgis.utils.parse_categorized_qml - gemgis.utils.load_surface_colors - gemgis.utils.create_surface_color_dict - gemgis.utils.calculate_lines - gemgis.utils.calculate_number_of_isopoints - gemgis.utils.convert_location_dict_to_gdf - gemgis.utils.convert_to_gempy_df - gemgis.utils.convert_to_petrel_points_with_attributes - gemgis.utils.create_polygon_from_location - gemgis.utils.create_virtual_profile - gemgis.utils.create_zmap_grid - gemgis.utils.extract_zmap_data - gemgis.utils.get_location_coordinate - gemgis.utils.get_locations - gemgis.utils.get_nearest_neighbor - gemgis.utils.getfeatures - gemgis.utils.interpolate_strike_lines - gemgis.utils.ray_trace_multiple_surfaces - gemgis.utils.ray_trace_one_surface - gemgis.utils.read_csv_as_gdf - gemgis.utils.save_zmap_grid - gemgis.utils.set_extent - gemgis.utils.set_resolution - gemgis.utils.show_number_of_data_points - gemgis.utils.to_section_dict - gemgis.utils.transform_location_coordinate - -Web -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Web module. - -.. autosummary:: - :toctree: reference/web_api - - gemgis.web.create_request - gemgis.web.load_as_array - gemgis.web.load_as_file - gemgis.web.load_as_files - gemgis.web.load_as_gpd - gemgis.web.load_as_map - gemgis.web.load_wcs - gemgis.web.load_wfs - gemgis.web.load_wms - -Miscellaneous -______________ - -The following sections provide an overview of the methods implemented in the GemGIS Misc module. - -.. autosummary:: - :toctree: reference/misc_api - - gemgis.misc.get_meta_data - gemgis.misc.get_meta_data_df - gemgis.misc.get_stratigraphic_data - gemgis.misc.get_stratigraphic_data_df - gemgis.misc.load_formations - gemgis.misc.load_pdf - gemgis.misc.load_symbols - - -Postprocessing -______________ - -The following section provides an overview of the methods implemented in the GemGIS postprocessing module. - -.. autosummary:: - :toctree: reference/postprocessing_api - - gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh - gemgis.postprocessing.create_attributes - gemgis.postprocessing.create_subelement - gemgis.postprocessing.create_symbol - gemgis.postprocessing.crop_block_to_topography - gemgis.postprocessing.extract_borehole - gemgis.postprocessing.extract_lithologies - gemgis.postprocessing.extract_orientations_from_mesh - gemgis.postprocessing.save_model - gemgis.postprocessing.save_qgis_qml_file Download GemGIS Data _____________________ From 04b75df351456884812a84fa95b79e5e4744993d Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 15 Aug 2023 23:08:10 +0200 Subject: [PATCH 11/40] EditAPIReference --- docs/getting_started/reference/index.rst | 13 ------------- .../misc_api/gemgis.misc.get_meta_data.rst | 6 ------ .../misc_api/gemgis.misc.get_meta_data_df.rst | 6 ------ .../misc_api/gemgis.misc.get_stratigraphic_data.rst | 6 ------ .../gemgis.misc.get_stratigraphic_data_df.rst | 6 ------ .../misc_api/gemgis.misc.load_formations.rst | 6 ------ .../reference/misc_api/gemgis.misc.load_pdf.rst | 6 ------ .../reference/misc_api/gemgis.misc.load_symbols.rst | 6 ------ ...ocessing.calculate_dip_and_azimuth_from_mesh.rst | 6 ------ .../gemgis.postprocessing.create_attributes.rst | 6 ------ .../gemgis.postprocessing.create_subelement.rst | 6 ------ .../gemgis.postprocessing.create_symbol.rst | 6 ------ ...mgis.postprocessing.crop_block_to_topography.rst | 6 ------ .../gemgis.postprocessing.extract_borehole.rst | 6 ------ .../gemgis.postprocessing.extract_lithologies.rst | 6 ------ ...ostprocessing.extract_orientations_from_mesh.rst | 6 ------ .../gemgis.postprocessing.save_model.rst | 6 ------ .../gemgis.postprocessing.save_qgis_qml_file.rst | 6 ------ .../reference/postprocessing_api/index.rst | 7 ------- .../raster_api/gemgis.raster.calculate_aspect.rst | 6 ------ .../gemgis.raster.calculate_difference.rst | 6 ------ .../gemgis.raster.calculate_hillshades.rst | 6 ------ .../raster_api/gemgis.raster.calculate_slope.rst | 6 ------ .../raster_api/gemgis.raster.clip_by_bbox.rst | 6 ------ .../raster_api/gemgis.raster.clip_by_polygon.rst | 6 ------ .../raster_api/gemgis.raster.create_filepaths.rst | 6 ------ ...gis.raster.extract_contour_lines_from_raster.rst | 6 ------ .../raster_api/gemgis.raster.merge_tiles.rst | 6 ------ .../reference/raster_api/gemgis.raster.read_asc.rst | 6 ------ .../reference/raster_api/gemgis.raster.read_msh.rst | 6 ------ .../reference/raster_api/gemgis.raster.read_ts.rst | 6 ------ .../raster_api/gemgis.raster.read_zmap.rst | 6 ------ .../raster_api/gemgis.raster.reproject_raster.rst | 6 ------ .../raster_api/gemgis.raster.resize_by_array.rst | 6 ------ .../raster_api/gemgis.raster.resize_raster.rst | 6 ------ .../raster_api/gemgis.raster.sample_from_array.rst | 6 ------ .../gemgis.raster.sample_from_rasterio.rst | 6 ------ .../raster_api/gemgis.raster.sample_interfaces.rst | 6 ------ .../gemgis.raster.sample_orientations.rst | 6 ------ .../raster_api/gemgis.raster.sample_randomly.rst | 6 ------ .../raster_api/gemgis.raster.save_as_tiff.rst | 6 ------ docs/getting_started/reference/raster_api/index.rst | 8 -------- .../utils_api/gemgis.utils.assign_properties.rst | 6 ------ .../utils_api/gemgis.utils.build_style_dict.rst | 6 ------ .../utils_api/gemgis.utils.calculate_lines.rst | 6 ------ .../gemgis.utils.calculate_number_of_isopoints.rst | 6 ------ .../gemgis.utils.convert_location_dict_to_gdf.rst | 6 ------ .../utils_api/gemgis.utils.convert_to_gempy_df.rst | 6 ------ ...ils.convert_to_petrel_points_with_attributes.rst | 6 ------ .../gemgis.utils.create_polygon_from_location.rst | 6 ------ .../gemgis.utils.create_surface_color_dict.rst | 6 ------ .../gemgis.utils.create_virtual_profile.rst | 6 ------ .../utils_api/gemgis.utils.create_zmap_grid.rst | 6 ------ .../utils_api/gemgis.utils.extract_zmap_data.rst | 6 ------ .../gemgis.utils.get_location_coordinate.rst | 6 ------ .../utils_api/gemgis.utils.get_locations.rst | 6 ------ .../utils_api/gemgis.utils.get_nearest_neighbor.rst | 6 ------ .../utils_api/gemgis.utils.getfeatures.rst | 6 ------ .../gemgis.utils.interpolate_strike_lines.rst | 6 ------ .../utils_api/gemgis.utils.load_surface_colors.rst | 6 ------ .../gemgis.utils.parse_categorized_qml.rst | 6 ------ .../gemgis.utils.ray_trace_multiple_surfaces.rst | 6 ------ .../gemgis.utils.ray_trace_one_surface.rst | 6 ------ .../utils_api/gemgis.utils.read_csv_as_gdf.rst | 6 ------ .../utils_api/gemgis.utils.save_zmap_grid.rst | 6 ------ .../reference/utils_api/gemgis.utils.set_extent.rst | 6 ------ .../utils_api/gemgis.utils.set_resolution.rst | 6 ------ .../gemgis.utils.show_number_of_data_points.rst | 6 ------ .../utils_api/gemgis.utils.to_section_dict.rst | 6 ------ .../gemgis.utils.transform_location_coordinate.rst | 6 ------ docs/getting_started/reference/utils_api/index.rst | 7 ------- .../vector_api/gemgis.vector.calculate_angle.rst | 6 ------ .../vector_api/gemgis.vector.calculate_azimuth.rst | 6 ------ ...coordinates_for_linestring_on_cross_sections.rst | 6 ------ ...oordinates_for_linestrings_on_cross_sections.rst | 6 ------ ...ulate_coordinates_for_point_on_cross_section.rst | 6 ------ ...is.vector.calculate_dipping_angle_linestring.rst | 6 ------ ....vector.calculate_dipping_angles_linestrings.rst | 6 ------ ...gemgis.vector.calculate_distance_linestrings.rst | 6 ------ .../gemgis.vector.calculate_midpoint_linestring.rst | 6 ------ ...emgis.vector.calculate_midpoints_linestrings.rst | 6 ------ ...alculate_orientation_for_three_point_problem.rst | 6 ------ ...alculate_orientation_from_bent_cross_section.rst | 6 ------ ...tor.calculate_orientation_from_cross_section.rst | 6 ------ ...or.calculate_orientations_from_cross_section.rst | 6 ------ ...tor.calculate_orientations_from_strike_lines.rst | 6 ------ ...r.calculate_strike_direction_bent_linestring.rst | 6 ------ ...lculate_strike_direction_straight_linestring.rst | 6 ------ .../vector_api/gemgis.vector.clip_by_bbox.rst | 6 ------ .../vector_api/gemgis.vector.clip_by_polygon.rst | 6 ------ .../vector_api/gemgis.vector.create_bbox.rst | 6 ------ .../vector_api/gemgis.vector.create_buffer.rst | 6 ------ .../vector_api/gemgis.vector.create_hexagon.rst | 6 ------ .../gemgis.vector.create_hexagon_grid.rst | 6 ------ .../gemgis.vector.create_linestring_from_points.rst | 6 ------ ...gis.vector.create_linestring_from_xyz_points.rst | 6 ------ .../gemgis.vector.create_linestring_gdf.rst | 6 ------ ...mgis.vector.create_linestrings_from_contours.rst | 6 ------ ...is.vector.create_linestrings_from_xyz_points.rst | 6 ------ .../gemgis.vector.create_polygons_from_faces.rst | 6 ------ .../gemgis.vector.create_unified_buffer.rst | 6 ------ .../gemgis.vector.create_voronoi_polygons.rst | 6 ------ .../gemgis.vector.explode_geometry_collection.rst | 6 ------ .../gemgis.vector.explode_geometry_collections.rst | 6 ------ .../vector_api/gemgis.vector.explode_linestring.rst | 6 ------ ...gemgis.vector.explode_linestring_to_elements.rst | 6 ------ .../gemgis.vector.explode_multilinestring.rst | 6 ------ 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a/docs/getting_started/reference/index.rst +++ /dev/null @@ -1,13 +0,0 @@ - -API Reference -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - - vector_api/index - raster_api/index - visualization_api/index - utils_api/index - web_api/index \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.get_meta_data.rst b/docs/getting_started/reference/misc_api/gemgis.misc.get_meta_data.rst deleted file mode 100644 index fa2304d3..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.get_meta_data.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.get\_meta\_data -=========================== - -.. currentmodule:: gemgis.misc - -.. autofunction:: get_meta_data \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.get_meta_data_df.rst b/docs/getting_started/reference/misc_api/gemgis.misc.get_meta_data_df.rst deleted file mode 100644 index 34944ff3..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.get_meta_data_df.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.get\_meta\_data\_df -=============================== - -.. currentmodule:: gemgis.misc - -.. autofunction:: get_meta_data_df \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.get_stratigraphic_data.rst b/docs/getting_started/reference/misc_api/gemgis.misc.get_stratigraphic_data.rst deleted file mode 100644 index a62d4bd1..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.get_stratigraphic_data.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.get\_stratigraphic\_data -==================================== - -.. currentmodule:: gemgis.misc - -.. autofunction:: get_stratigraphic_data \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.get_stratigraphic_data_df.rst b/docs/getting_started/reference/misc_api/gemgis.misc.get_stratigraphic_data_df.rst deleted file mode 100644 index 8ae4d79e..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.get_stratigraphic_data_df.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.get\_stratigraphic\_data\_df -======================================== - -.. currentmodule:: gemgis.misc - -.. autofunction:: get_stratigraphic_data_df \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.load_formations.rst b/docs/getting_started/reference/misc_api/gemgis.misc.load_formations.rst deleted file mode 100644 index 577d3a29..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.load_formations.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.load\_formations -============================ - -.. currentmodule:: gemgis.misc - -.. autofunction:: load_formations \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.load_pdf.rst b/docs/getting_started/reference/misc_api/gemgis.misc.load_pdf.rst deleted file mode 100644 index 308681e8..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.load_pdf.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.load\_pdf -===================== - -.. currentmodule:: gemgis.misc - -.. autofunction:: load_pdf \ No newline at end of file diff --git a/docs/getting_started/reference/misc_api/gemgis.misc.load_symbols.rst b/docs/getting_started/reference/misc_api/gemgis.misc.load_symbols.rst deleted file mode 100644 index a1affc16..00000000 --- a/docs/getting_started/reference/misc_api/gemgis.misc.load_symbols.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.misc.load\_symbols -========================= - -.. currentmodule:: gemgis.misc - -.. autofunction:: load_symbols \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh.rst deleted file mode 100644 index f6614f86..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.calculate\_dip\_and\_azimuth\_from\_mesh -============================================================== - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: calculate_dip_and_azimuth_from_mesh \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_attributes.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_attributes.rst deleted file mode 100644 index a8031ae8..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_attributes.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.create\_attributes -======================================== - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: create_attributes \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_subelement.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_subelement.rst deleted file mode 100644 index ecf077eb..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_subelement.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.create\_subelement -======================================== - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: create_subelement \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_symbol.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_symbol.rst deleted file mode 100644 index fc189c3e..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.create_symbol.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.create\_symbol -==================================== - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: create_symbol \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.crop_block_to_topography.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.crop_block_to_topography.rst deleted file mode 100644 index b6dbca3b..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.crop_block_to_topography.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.crop\_block\_to\_topography -================================================= - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: crop_block_to_topography \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_borehole.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_borehole.rst deleted file mode 100644 index f7f7ec03..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_borehole.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.extract\_borehole -======================================= - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: extract_borehole \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_lithologies.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_lithologies.rst deleted file mode 100644 index 87892995..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_lithologies.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.extract\_lithologies -========================================== - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: extract_lithologies \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_orientations_from_mesh.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_orientations_from_mesh.rst deleted file mode 100644 index 733c421d..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.extract_orientations_from_mesh.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.extract\_orientations\_from\_mesh -======================================================= - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: extract_orientations_from_mesh \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.save_model.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.save_model.rst deleted file mode 100644 index 36996ea5..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.save_model.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.save\_model -================================= - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: save_model \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.save_qgis_qml_file.rst b/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.save_qgis_qml_file.rst deleted file mode 100644 index fdad7ce1..00000000 --- a/docs/getting_started/reference/postprocessing_api/gemgis.postprocessing.save_qgis_qml_file.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.postprocessing.save\_qgis\_qml\_file -=========================================== - -.. currentmodule:: gemgis.postprocessing - -.. autofunction:: save_qgis_qml_file \ No newline at end of file diff --git a/docs/getting_started/reference/postprocessing_api/index.rst b/docs/getting_started/reference/postprocessing_api/index.rst deleted file mode 100644 index 24cd8b25..00000000 --- a/docs/getting_started/reference/postprocessing_api/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference Web -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_aspect.rst b/docs/getting_started/reference/raster_api/gemgis.raster.calculate_aspect.rst deleted file mode 100644 index 8dd91ff3..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_aspect.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.calculate\_aspect -=============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: calculate_aspect \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_difference.rst b/docs/getting_started/reference/raster_api/gemgis.raster.calculate_difference.rst deleted file mode 100644 index 040c041f..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_difference.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.calculate\_difference -=================================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: calculate_difference \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_hillshades.rst b/docs/getting_started/reference/raster_api/gemgis.raster.calculate_hillshades.rst deleted file mode 100644 index 76e85110..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_hillshades.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.calculate\_hillshades -=================================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: calculate_hillshades \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_slope.rst b/docs/getting_started/reference/raster_api/gemgis.raster.calculate_slope.rst deleted file mode 100644 index 4f17fbeb..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.calculate_slope.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.calculate\_slope -============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: calculate_slope \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.clip_by_bbox.rst b/docs/getting_started/reference/raster_api/gemgis.raster.clip_by_bbox.rst deleted file mode 100644 index 0c15ff52..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.clip_by_bbox.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.clip\_by\_bbox -============================ - -.. currentmodule:: gemgis.raster - -.. autofunction:: clip_by_bbox \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.clip_by_polygon.rst b/docs/getting_started/reference/raster_api/gemgis.raster.clip_by_polygon.rst deleted file mode 100644 index 2206e1ba..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.clip_by_polygon.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.clip\_by\_polygon -=============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: clip_by_polygon \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.create_filepaths.rst b/docs/getting_started/reference/raster_api/gemgis.raster.create_filepaths.rst deleted file mode 100644 index e2b771cc..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.create_filepaths.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.create\_filepaths -=============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: create_filepaths \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.extract_contour_lines_from_raster.rst b/docs/getting_started/reference/raster_api/gemgis.raster.extract_contour_lines_from_raster.rst deleted file mode 100644 index 8a1bf3e6..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.extract_contour_lines_from_raster.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.extract\_contour\_lines\_from\_raster -=================================================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: extract_contour_lines_from_raster \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.merge_tiles.rst b/docs/getting_started/reference/raster_api/gemgis.raster.merge_tiles.rst deleted file mode 100644 index 66ca41da..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.merge_tiles.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.merge\_tiles -========================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: merge_tiles \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.read_asc.rst b/docs/getting_started/reference/raster_api/gemgis.raster.read_asc.rst deleted file mode 100644 index b24d538b..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.read_asc.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.read\_asc -======================= - -.. currentmodule:: gemgis.raster - -.. autofunction:: read_asc \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.read_msh.rst b/docs/getting_started/reference/raster_api/gemgis.raster.read_msh.rst deleted file mode 100644 index 59755a25..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.read_msh.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.read\_msh -======================= - -.. currentmodule:: gemgis.raster - -.. autofunction:: read_msh \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.read_ts.rst b/docs/getting_started/reference/raster_api/gemgis.raster.read_ts.rst deleted file mode 100644 index 32fdbb0f..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.read_ts.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.read\_ts -====================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: read_ts \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.read_zmap.rst b/docs/getting_started/reference/raster_api/gemgis.raster.read_zmap.rst deleted file mode 100644 index 7dbc492e..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.read_zmap.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.read\_zmap -======================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: read_zmap \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.reproject_raster.rst b/docs/getting_started/reference/raster_api/gemgis.raster.reproject_raster.rst deleted file mode 100644 index cd7621d3..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.reproject_raster.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.reproject\_raster -=============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: reproject_raster \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.resize_by_array.rst b/docs/getting_started/reference/raster_api/gemgis.raster.resize_by_array.rst deleted file mode 100644 index 2ebb42a3..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.resize_by_array.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.resize\_by\_array -=============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: resize_by_array \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.resize_raster.rst b/docs/getting_started/reference/raster_api/gemgis.raster.resize_raster.rst deleted file mode 100644 index 53e2110b..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.resize_raster.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.resize\_raster -============================ - -.. currentmodule:: gemgis.raster - -.. autofunction:: resize_raster \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.sample_from_array.rst b/docs/getting_started/reference/raster_api/gemgis.raster.sample_from_array.rst deleted file mode 100644 index e47c143d..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.sample_from_array.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.sample\_from\_array -================================= - -.. currentmodule:: gemgis.raster - -.. autofunction:: sample_from_array \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.sample_from_rasterio.rst b/docs/getting_started/reference/raster_api/gemgis.raster.sample_from_rasterio.rst deleted file mode 100644 index 5e4543d2..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.sample_from_rasterio.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.sample\_from\_rasterio -==================================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: sample_from_rasterio \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.sample_interfaces.rst b/docs/getting_started/reference/raster_api/gemgis.raster.sample_interfaces.rst deleted file mode 100644 index 2281ba7f..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.sample_interfaces.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.sample\_interfaces -================================ - -.. currentmodule:: gemgis.raster - -.. autofunction:: sample_interfaces \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.sample_orientations.rst b/docs/getting_started/reference/raster_api/gemgis.raster.sample_orientations.rst deleted file mode 100644 index 1095ec70..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.sample_orientations.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.sample\_orientations -================================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: sample_orientations \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.sample_randomly.rst b/docs/getting_started/reference/raster_api/gemgis.raster.sample_randomly.rst deleted file mode 100644 index d31fa744..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.sample_randomly.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.sample\_randomly -============================== - -.. currentmodule:: gemgis.raster - -.. autofunction:: sample_randomly \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/gemgis.raster.save_as_tiff.rst b/docs/getting_started/reference/raster_api/gemgis.raster.save_as_tiff.rst deleted file mode 100644 index cb1171bb..00000000 --- a/docs/getting_started/reference/raster_api/gemgis.raster.save_as_tiff.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.raster.save\_as\_tiff -============================ - -.. currentmodule:: gemgis.raster - -.. autofunction:: save_as_tiff \ No newline at end of file diff --git a/docs/getting_started/reference/raster_api/index.rst b/docs/getting_started/reference/raster_api/index.rst deleted file mode 100644 index 5bf0c8ff..00000000 --- a/docs/getting_started/reference/raster_api/index.rst +++ /dev/null @@ -1,8 +0,0 @@ -API Reference Vector -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - - gemgis.raster.sample_from_array \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.assign_properties.rst b/docs/getting_started/reference/utils_api/gemgis.utils.assign_properties.rst deleted file mode 100644 index dde93b7a..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.assign_properties.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.assign\_properties -=============================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: assign_properties \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.build_style_dict.rst b/docs/getting_started/reference/utils_api/gemgis.utils.build_style_dict.rst deleted file mode 100644 index b4525b84..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.build_style_dict.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.build\_style\_dict -=============================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: build_style_dict \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.calculate_lines.rst b/docs/getting_started/reference/utils_api/gemgis.utils.calculate_lines.rst deleted file mode 100644 index d31298aa..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.calculate_lines.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.calculate\_lines -============================= - -.. currentmodule:: gemgis.utils - -.. autofunction:: calculate_lines \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.calculate_number_of_isopoints.rst b/docs/getting_started/reference/utils_api/gemgis.utils.calculate_number_of_isopoints.rst deleted file mode 100644 index 4e8fdc73..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.calculate_number_of_isopoints.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.calculate\_number\_of\_isopoints -============================================= - -.. currentmodule:: gemgis.utils - -.. autofunction:: calculate_number_of_isopoints \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.convert_location_dict_to_gdf.rst b/docs/getting_started/reference/utils_api/gemgis.utils.convert_location_dict_to_gdf.rst deleted file mode 100644 index 4e1032c1..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.convert_location_dict_to_gdf.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.convert\_location\_dict\_to\_gdf -============================================= - -.. currentmodule:: gemgis.utils - -.. autofunction:: convert_location_dict_to_gdf \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.convert_to_gempy_df.rst b/docs/getting_started/reference/utils_api/gemgis.utils.convert_to_gempy_df.rst deleted file mode 100644 index 50c07256..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.convert_to_gempy_df.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.convert\_to\_gempy\_df -=================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: convert_to_gempy_df \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.convert_to_petrel_points_with_attributes.rst b/docs/getting_started/reference/utils_api/gemgis.utils.convert_to_petrel_points_with_attributes.rst deleted file mode 100644 index 3369ab31..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.convert_to_petrel_points_with_attributes.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.convert\_to\_petrel\_points\_with\_attributes -========================================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: convert_to_petrel_points_with_attributes \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.create_polygon_from_location.rst b/docs/getting_started/reference/utils_api/gemgis.utils.create_polygon_from_location.rst deleted file mode 100644 index e92d6076..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.create_polygon_from_location.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.create\_polygon\_from\_location -============================================ - -.. currentmodule:: gemgis.utils - -.. autofunction:: create_polygon_from_location \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.create_surface_color_dict.rst b/docs/getting_started/reference/utils_api/gemgis.utils.create_surface_color_dict.rst deleted file mode 100644 index 47cc4297..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.create_surface_color_dict.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.create\_surface\_color\_dict -========================================= - -.. currentmodule:: gemgis.utils - -.. autofunction:: create_surface_color_dict \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.create_virtual_profile.rst b/docs/getting_started/reference/utils_api/gemgis.utils.create_virtual_profile.rst deleted file mode 100644 index 6a616073..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.create_virtual_profile.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.create\_virtual\_profile -===================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: create_virtual_profile \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.create_zmap_grid.rst b/docs/getting_started/reference/utils_api/gemgis.utils.create_zmap_grid.rst deleted file mode 100644 index febf7d48..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.create_zmap_grid.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.create\_zmap\_grid -=============================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: create_zmap_grid \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.extract_zmap_data.rst b/docs/getting_started/reference/utils_api/gemgis.utils.extract_zmap_data.rst deleted file mode 100644 index 8210b43d..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.extract_zmap_data.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.extract\_zmap\_data -================================ - -.. currentmodule:: gemgis.utils - -.. autofunction:: extract_zmap_data \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.get_location_coordinate.rst b/docs/getting_started/reference/utils_api/gemgis.utils.get_location_coordinate.rst deleted file mode 100644 index 649c4b81..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.get_location_coordinate.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.get\_location\_coordinate -====================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: get_location_coordinate \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.get_locations.rst b/docs/getting_started/reference/utils_api/gemgis.utils.get_locations.rst deleted file mode 100644 index 8586dec4..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.get_locations.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.get\_locations -=========================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: get_locations \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.get_nearest_neighbor.rst b/docs/getting_started/reference/utils_api/gemgis.utils.get_nearest_neighbor.rst deleted file mode 100644 index 539c7722..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.get_nearest_neighbor.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.get\_nearest\_neighbor -=================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: get_nearest_neighbor \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.getfeatures.rst b/docs/getting_started/reference/utils_api/gemgis.utils.getfeatures.rst deleted file mode 100644 index 27d4584a..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.getfeatures.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.getfeatures -======================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: getfeatures \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.interpolate_strike_lines.rst b/docs/getting_started/reference/utils_api/gemgis.utils.interpolate_strike_lines.rst deleted file mode 100644 index a1979f12..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.interpolate_strike_lines.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.interpolate\_strike\_lines -======================================= - -.. currentmodule:: gemgis.utils - -.. autofunction:: interpolate_strike_lines \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.load_surface_colors.rst b/docs/getting_started/reference/utils_api/gemgis.utils.load_surface_colors.rst deleted file mode 100644 index 09b2e481..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.load_surface_colors.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.load\_surface\_colors -================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: load_surface_colors \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.parse_categorized_qml.rst b/docs/getting_started/reference/utils_api/gemgis.utils.parse_categorized_qml.rst deleted file mode 100644 index 09c9e6ab..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.parse_categorized_qml.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.parse\_categorized\_qml -==================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: parse_categorized_qml \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.ray_trace_multiple_surfaces.rst b/docs/getting_started/reference/utils_api/gemgis.utils.ray_trace_multiple_surfaces.rst deleted file mode 100644 index 52baccb1..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.ray_trace_multiple_surfaces.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.ray\_trace\_multiple\_surfaces -=========================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: ray_trace_multiple_surfaces \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.ray_trace_one_surface.rst b/docs/getting_started/reference/utils_api/gemgis.utils.ray_trace_one_surface.rst deleted file mode 100644 index ece733ce..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.ray_trace_one_surface.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.ray\_trace\_one\_surface -===================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: ray_trace_one_surface \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.read_csv_as_gdf.rst b/docs/getting_started/reference/utils_api/gemgis.utils.read_csv_as_gdf.rst deleted file mode 100644 index d408edad..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.read_csv_as_gdf.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.read\_csv\_as\_gdf -=============================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: read_csv_as_gdf \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.save_zmap_grid.rst b/docs/getting_started/reference/utils_api/gemgis.utils.save_zmap_grid.rst deleted file mode 100644 index 8d6a3000..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.save_zmap_grid.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.save\_zmap\_grid -============================= - -.. currentmodule:: gemgis.utils - -.. autofunction:: save_zmap_grid \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.set_extent.rst b/docs/getting_started/reference/utils_api/gemgis.utils.set_extent.rst deleted file mode 100644 index e8f033de..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.set_extent.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.set\_extent -======================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: set_extent \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.set_resolution.rst b/docs/getting_started/reference/utils_api/gemgis.utils.set_resolution.rst deleted file mode 100644 index 8cd23d42..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.set_resolution.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.set\_resolution -============================ - -.. currentmodule:: gemgis.utils - -.. autofunction:: set_resolution \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.show_number_of_data_points.rst b/docs/getting_started/reference/utils_api/gemgis.utils.show_number_of_data_points.rst deleted file mode 100644 index f580153e..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.show_number_of_data_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.show\_number\_of\_data\_points -=========================================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: show_number_of_data_points \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.to_section_dict.rst b/docs/getting_started/reference/utils_api/gemgis.utils.to_section_dict.rst deleted file mode 100644 index a12ba3ed..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.to_section_dict.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.to\_section\_dict -============================== - -.. currentmodule:: gemgis.utils - -.. autofunction:: to_section_dict \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/gemgis.utils.transform_location_coordinate.rst b/docs/getting_started/reference/utils_api/gemgis.utils.transform_location_coordinate.rst deleted file mode 100644 index 1f38d266..00000000 --- a/docs/getting_started/reference/utils_api/gemgis.utils.transform_location_coordinate.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.utils.transform\_location\_coordinate -============================================ - -.. currentmodule:: gemgis.utils - -.. autofunction:: transform_location_coordinate \ No newline at end of file diff --git a/docs/getting_started/reference/utils_api/index.rst b/docs/getting_started/reference/utils_api/index.rst deleted file mode 100644 index 6b039a76..00000000 --- a/docs/getting_started/reference/utils_api/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference Utils -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_angle.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_angle.rst deleted file mode 100644 index a4a25838..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_angle.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_angle -============================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_angle \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_azimuth.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_azimuth.rst deleted file mode 100644 index eb62446d..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_azimuth.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_azimuth -================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_azimuth \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections.rst deleted file mode 100644 index cc25bb03..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_coordinates\_for\_linestring\_on\_cross\_sections -========================================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_coordinates_for_linestring_on_cross_sections \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections.rst deleted file mode 100644 index 6ffee3b3..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_coordinates\_for\_linestrings\_on\_cross\_sections -=========================================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_coordinates_for_linestrings_on_cross_sections \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_point_on_cross_section.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_point_on_cross_section.rst deleted file mode 100644 index 044447c0..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_coordinates_for_point_on_cross_section.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_coordinates\_for\_point\_on\_cross\_section -==================================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_coordinates_for_point_on_cross_section \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_dipping_angle_linestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_dipping_angle_linestring.rst deleted file mode 100644 index 794b32e6..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_dipping_angle_linestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_dipping\_angle\_linestring -=================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_dipping_angle_linestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_dipping_angles_linestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_dipping_angles_linestrings.rst deleted file mode 100644 index f4c7bf0c..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_dipping_angles_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_dipping\_angles\_linestrings -===================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_dipping_angles_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_distance_linestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_distance_linestrings.rst deleted file mode 100644 index 8ec576d2..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_distance_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_distance\_linestrings -============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_distance_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_midpoint_linestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_midpoint_linestring.rst deleted file mode 100644 index 6d8d924e..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_midpoint_linestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_midpoint\_linestring -============================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_midpoint_linestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_midpoints_linestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_midpoints_linestrings.rst deleted file mode 100644 index 6e8811bf..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_midpoints_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_midpoints\_linestrings -=============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_midpoints_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_for_three_point_problem.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_for_three_point_problem.rst deleted file mode 100644 index 02541faf..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_for_three_point_problem.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_orientation\_for\_three\_point\_problem -================================================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_orientation_for_three_point_problem \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_from_bent_cross_section.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_from_bent_cross_section.rst deleted file mode 100644 index 945948ea..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_from_bent_cross_section.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_orientation\_from\_bent\_cross\_section -================================================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_orientation_from_bent_cross_section \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_from_cross_section.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_from_cross_section.rst deleted file mode 100644 index f8a9c10f..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientation_from_cross_section.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_orientation\_from\_cross\_section -========================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_orientation_from_cross_section \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientations_from_cross_section.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientations_from_cross_section.rst deleted file mode 100644 index cf95a04c..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientations_from_cross_section.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_orientations\_from\_cross\_section -=========================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_orientations_from_cross_section \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientations_from_strike_lines.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientations_from_strike_lines.rst deleted file mode 100644 index 1ba98137..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_orientations_from_strike_lines.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_orientations\_from\_strike\_lines -========================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_orientations_from_strike_lines \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_strike_direction_bent_linestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_strike_direction_bent_linestring.rst deleted file mode 100644 index a8d6a577..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_strike_direction_bent_linestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_strike\_direction\_bent\_linestring -============================================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_strike_direction_bent_linestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_strike_direction_straight_linestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.calculate_strike_direction_straight_linestring.rst deleted file mode 100644 index 7f433b86..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.calculate_strike_direction_straight_linestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.calculate\_strike\_direction\_straight\_linestring -================================================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: calculate_strike_direction_straight_linestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.clip_by_bbox.rst b/docs/getting_started/reference/vector_api/gemgis.vector.clip_by_bbox.rst deleted file mode 100644 index b0724b54..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.clip_by_bbox.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.clip\_by\_bbox -============================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: clip_by_bbox \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.clip_by_polygon.rst b/docs/getting_started/reference/vector_api/gemgis.vector.clip_by_polygon.rst deleted file mode 100644 index 17fe4499..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.clip_by_polygon.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.clip\_by\_polygon -=============================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: clip_by_polygon \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_bbox.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_bbox.rst deleted file mode 100644 index 6f568146..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_bbox.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_bbox -========================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_bbox \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_buffer.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_buffer.rst deleted file mode 100644 index 0efce65c..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_buffer.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_buffer -============================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_buffer \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_hexagon.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_hexagon.rst deleted file mode 100644 index dddfa723..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_hexagon.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_hexagon -============================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_hexagon \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_hexagon_grid.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_hexagon_grid.rst deleted file mode 100644 index d8220c72..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_hexagon_grid.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_hexagon\_grid -=================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_hexagon_grid \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_from_points.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_from_points.rst deleted file mode 100644 index 3810400d..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_from_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_linestring\_from\_points -============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_linestring_from_points \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_from_xyz_points.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_from_xyz_points.rst deleted file mode 100644 index a0ee1b73..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_from_xyz_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_linestring\_from\_xyz\_points -=================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_linestring_from_xyz_points \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_gdf.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_gdf.rst deleted file mode 100644 index 979381d6..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestring_gdf.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_linestring\_gdf -===================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_linestring_gdf \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestrings_from_contours.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_linestrings_from_contours.rst deleted file mode 100644 index 7a16f7f2..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestrings_from_contours.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_linestrings\_from\_contours -================================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_linestrings_from_contours \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestrings_from_xyz_points.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_linestrings_from_xyz_points.rst deleted file mode 100644 index bb91edc8..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_linestrings_from_xyz_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_linestrings\_from\_xyz\_points -==================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_linestrings_from_xyz_points \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_polygons_from_faces.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_polygons_from_faces.rst deleted file mode 100644 index 9169dfca..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_polygons_from_faces.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_polygons\_from\_faces -=========================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_polygons_from_faces \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_unified_buffer.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_unified_buffer.rst deleted file mode 100644 index 0305d8c5..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_unified_buffer.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_unified\_buffer -===================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_unified_buffer \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.create_voronoi_polygons.rst b/docs/getting_started/reference/vector_api/gemgis.vector.create_voronoi_polygons.rst deleted file mode 100644 index 8eb04c5b..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.create_voronoi_polygons.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.create\_voronoi\_polygons -======================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: create_voronoi_polygons \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_geometry_collection.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_geometry_collection.rst deleted file mode 100644 index afebcb6b..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_geometry_collection.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_geometry\_collection -=========================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_geometry_collection \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_geometry_collections.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_geometry_collections.rst deleted file mode 100644 index 88032106..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_geometry_collections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_geometry\_collections -============================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_geometry_collections \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_linestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_linestring.rst deleted file mode 100644 index 4eac3439..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_linestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_linestring -================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_linestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_linestring_to_elements.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_linestring_to_elements.rst deleted file mode 100644 index 4de4a8c7..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_linestring_to_elements.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_linestring\_to\_elements -=============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_linestring_to_elements \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_multilinestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_multilinestring.rst deleted file mode 100644 index dcee706f..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_multilinestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_multilinestring -====================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_multilinestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_multilinestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_multilinestrings.rst deleted file mode 100644 index cbe4999a..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_multilinestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_multilinestrings -======================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_multilinestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_polygon.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_polygon.rst deleted file mode 100644 index 4a832918..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_polygon.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_polygon -============================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_polygon \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.explode_polygons.rst b/docs/getting_started/reference/vector_api/gemgis.vector.explode_polygons.rst deleted file mode 100644 index 6b329630..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.explode_polygons.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.explode\_polygons -=============================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: explode_polygons \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_interfaces_coordinates_from_cross_section.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_interfaces_coordinates_from_cross_section.rst deleted file mode 100644 index f609aa34..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_interfaces_coordinates_from_cross_section.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_interfaces\_coordinates\_from\_cross\_section -==================================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_interfaces_coordinates_from_cross_section \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_orientations_from_cross_sections.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_orientations_from_cross_sections.rst deleted file mode 100644 index 73bef1a5..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_orientations_from_cross_sections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_orientations\_from\_cross\_sections -========================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_orientations_from_cross_sections \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_orientations_from_map.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_orientations_from_map.rst deleted file mode 100644 index b306b244..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_orientations_from_map.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_orientations\_from\_map -============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_orientations_from_map \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy.rst deleted file mode 100644 index f84f815d..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xy -========================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xy \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_from_polygon_intersections.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_from_polygon_intersections.rst deleted file mode 100644 index 18f01d3e..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_from_polygon_intersections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xy\_from\_polygon\_intersections -======================================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xy_from_polygon_intersections \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_linestring.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_linestring.rst deleted file mode 100644 index 254982bc..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_linestring.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xy\_linestring -===================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xy_linestring \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_linestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_linestrings.rst deleted file mode 100644 index 406a9e80..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xy\_linestrings -====================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xy_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_points.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_points.rst deleted file mode 100644 index 9ba10443..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xy_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xy\_points -================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xy_points \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz.rst deleted file mode 100644 index 183af1b8..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz -========================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_array.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_array.rst deleted file mode 100644 index 58f0bc84..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_array.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz\_array -================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz_array \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_from_cross_sections.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_from_cross_sections.rst deleted file mode 100644 index 734aac80..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_from_cross_sections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz\_from\_cross\_sections -================================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz_from_cross_sections \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_linestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_linestrings.rst deleted file mode 100644 index 4cdd22d7..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz\_linestrings -======================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_points.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_points.rst deleted file mode 100644 index b53147d8..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz\_points -================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz_points \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_polygons.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_polygons.rst deleted file mode 100644 index 732c4583..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_polygons.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz\_polygons -==================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz_polygons \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_rasterio.rst b/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_rasterio.rst deleted file mode 100644 index b3b15da0..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.extract_xyz_rasterio.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.extract\_xyz\_rasterio -==================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: extract_xyz_rasterio \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.interpolate_raster.rst b/docs/getting_started/reference/vector_api/gemgis.vector.interpolate_raster.rst deleted file mode 100644 index ec837961..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.interpolate_raster.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.interpolate\_raster -================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: interpolate_raster \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.intersection_polygon_polygon.rst b/docs/getting_started/reference/vector_api/gemgis.vector.intersection_polygon_polygon.rst deleted file mode 100644 index cfa02c42..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.intersection_polygon_polygon.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.intersection\_polygon\_polygon -============================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: intersection_polygon_polygon \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.intersections_polygon_polygons.rst b/docs/getting_started/reference/vector_api/gemgis.vector.intersections_polygon_polygons.rst deleted file mode 100644 index 5306797b..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.intersections_polygon_polygons.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.intersections\_polygon\_polygons -============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: intersections_polygon_polygons \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.intersections_polygons_polygons.rst b/docs/getting_started/reference/vector_api/gemgis.vector.intersections_polygons_polygons.rst deleted file mode 100644 index 25cd7bf0..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.intersections_polygons_polygons.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.intersections\_polygons\_polygons -=============================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: intersections_polygons_polygons \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx.rst b/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx.rst deleted file mode 100644 index b1d3d69e..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.load\_gpx -======================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: load_gpx \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx_as_dict.rst b/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx_as_dict.rst deleted file mode 100644 index e9eca81d..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx_as_dict.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.load\_gpx\_as\_dict -================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: load_gpx_as_dict \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx_as_geometry.rst b/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx_as_geometry.rst deleted file mode 100644 index 388c1d05..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.load_gpx_as_geometry.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.load\_gpx\_as\_geometry -===================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: load_gpx_as_geometry \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.remove_interfaces_within_fault_buffers.rst b/docs/getting_started/reference/vector_api/gemgis.vector.remove_interfaces_within_fault_buffers.rst deleted file mode 100644 index f1ef6dd5..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.remove_interfaces_within_fault_buffers.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.remove\_interfaces\_within\_fault\_buffers -======================================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: remove_interfaces_within_fault_buffers \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.remove_object_within_buffer.rst b/docs/getting_started/reference/vector_api/gemgis.vector.remove_object_within_buffer.rst deleted file mode 100644 index d04a08c2..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.remove_object_within_buffer.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.remove\_object\_within\_buffer -============================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: remove_object_within_buffer \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.remove_objects_within_buffer.rst b/docs/getting_started/reference/vector_api/gemgis.vector.remove_objects_within_buffer.rst deleted file mode 100644 index 8a3f365f..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.remove_objects_within_buffer.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.remove\_objects\_within\_buffer -============================================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: remove_objects_within_buffer \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.set_dtype.rst b/docs/getting_started/reference/vector_api/gemgis.vector.set_dtype.rst deleted file mode 100644 index 42deede4..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.set_dtype.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.set\_dtype -======================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: set_dtype \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.sort_by_stratigraphy.rst b/docs/getting_started/reference/vector_api/gemgis.vector.sort_by_stratigraphy.rst deleted file mode 100644 index 784f8d13..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.sort_by_stratigraphy.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.sort\_by\_stratigraphy -==================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: sort_by_stratigraphy \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.subtract_geom_objects.rst b/docs/getting_started/reference/vector_api/gemgis.vector.subtract_geom_objects.rst deleted file mode 100644 index c6bc8bf4..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.subtract_geom_objects.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.subtract\_geom\_objects -===================================== - -.. currentmodule:: gemgis.vector - -.. autofunction:: subtract_geom_objects \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.unify_linestrings.rst b/docs/getting_started/reference/vector_api/gemgis.vector.unify_linestrings.rst deleted file mode 100644 index 8a33da0a..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.unify_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.unify\_linestrings -================================ - -.. currentmodule:: gemgis.vector - -.. autofunction:: unify_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/gemgis.vector.unify_polygons.rst b/docs/getting_started/reference/vector_api/gemgis.vector.unify_polygons.rst deleted file mode 100644 index 97ff6ba5..00000000 --- a/docs/getting_started/reference/vector_api/gemgis.vector.unify_polygons.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.vector.unify\_polygons -============================= - -.. currentmodule:: gemgis.vector - -.. autofunction:: unify_polygons \ No newline at end of file diff --git a/docs/getting_started/reference/vector_api/index.rst b/docs/getting_started/reference/vector_api/index.rst deleted file mode 100644 index 69a3dc30..00000000 --- a/docs/getting_started/reference/vector_api/index.rst +++ /dev/null @@ -1,8 +0,0 @@ -API Reference Vector -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - - gemgis.vector.extract_xy \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.add_row_to_boreholes.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.add_row_to_boreholes.rst deleted file mode 100644 index 44102eb8..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.add_row_to_boreholes.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.add\_row\_to\_boreholes -============================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: add_row_to_boreholes \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.calculate_vector.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.calculate_vector.rst deleted file mode 100644 index 624696c3..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.calculate_vector.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.calculate\_vector -====================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: calculate_vector \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.clip_seismic_data.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.clip_seismic_data.rst deleted file mode 100644 index 570e7ed0..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.clip_seismic_data.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.clip\_seismic\_data -======================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: clip_seismic_data \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.convert_to_rgb.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.convert_to_rgb.rst deleted file mode 100644 index 55c57b6e..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.convert_to_rgb.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.convert\_to\_rgb -===================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: convert_to_rgb \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_labels.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_labels.rst deleted file mode 100644 index 5bbcbe8c..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_labels.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_borehole\_labels -============================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_borehole_labels \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_tube.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_tube.rst deleted file mode 100644 index f7535b7d..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_tube.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_borehole\_tube -=========================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_borehole_tube \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_tubes.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_tubes.rst deleted file mode 100644 index ba37291a..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_borehole_tubes.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_borehole\_tubes -============================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_borehole_tubes \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_boreholes_3d.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_boreholes_3d.rst deleted file mode 100644 index 9f00e1e6..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_boreholes_3d.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_boreholes\_3d -========================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_boreholes_3d \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_delaunay_mesh_from_gdf.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_delaunay_mesh_from_gdf.rst deleted file mode 100644 index 456f878f..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_delaunay_mesh_from_gdf.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_delaunay\_mesh\_from\_gdf -====================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_delaunay_mesh_from_gdf \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_dem_3d.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_dem_3d.rst deleted file mode 100644 index 8adf6171..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_dem_3d.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_dem\_3d -==================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_dem_3d \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_depth_map.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_depth_map.rst deleted file mode 100644 index 27d81719..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_depth_map.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_depth\_map -======================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_depth_map \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_depth_maps_from_gempy.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_depth_maps_from_gempy.rst deleted file mode 100644 index fa5711ea..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_depth_maps_from_gempy.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_depth\_maps\_from\_gempy -===================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_depth_maps_from_gempy \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_deviated_borehole_df.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_deviated_borehole_df.rst deleted file mode 100644 index 5602ebb5..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_deviated_borehole_df.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_deviated\_borehole\_df -=================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_deviated_borehole_df \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_deviated_boreholes_3d.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_deviated_boreholes_3d.rst deleted file mode 100644 index b1f5176d..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_deviated_boreholes_3d.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_deviated\_boreholes\_3d -==================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_deviated_boreholes_3d \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_3d_linestrings.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_3d_linestrings.rst deleted file mode 100644 index 3b7a8b9d..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_3d_linestrings.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_lines\_3d\_linestrings -=================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_lines_3d_linestrings \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_3d_polydata.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_3d_polydata.rst deleted file mode 100644 index 600aeaa3..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_3d_polydata.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_lines\_3d\_polydata -================================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_lines_3d_polydata \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_from_points.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_from_points.rst deleted file mode 100644 index b2accdae..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_lines_from_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_lines\_from\_points -================================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_lines_from_points \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_mesh_from_cross_section.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_mesh_from_cross_section.rst deleted file mode 100644 index 374d16d6..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_mesh_from_cross_section.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_mesh\_from\_cross\_section -======================================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_mesh_from_cross_section \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_meshes_from_cross_sections.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_meshes_from_cross_sections.rst deleted file mode 100644 index 391364a2..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_meshes_from_cross_sections.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_meshes\_from\_cross\_sections -========================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_meshes_from_cross_sections \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_meshes_hypocenters.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_meshes_hypocenters.rst deleted file mode 100644 index 2bb28d82..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_meshes_hypocenters.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_meshes\_hypocenters -================================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_meshes_hypocenters \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_points_3d.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_points_3d.rst deleted file mode 100644 index 39ee72fd..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_points_3d.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_points\_3d -======================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_points_3d \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_dxf.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_dxf.rst deleted file mode 100644 index 966da86e..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_dxf.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_polydata\_from\_dxf -================================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_polydata_from_dxf \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_msh.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_msh.rst deleted file mode 100644 index 62059eba..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_msh.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_polydata\_from\_msh -================================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_polydata_from_msh \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_ts.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_ts.rst deleted file mode 100644 index f85cd058..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_polydata_from_ts.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_polydata\_from\_ts -=============================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_polydata_from_ts \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_structured_grid_from_asc.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_structured_grid_from_asc.rst deleted file mode 100644 index 95c92120..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_structured_grid_from_asc.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_structured\_grid\_from\_asc -======================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_structured_grid_from_asc \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_structured_grid_from_zmap.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_structured_grid_from_zmap.rst deleted file mode 100644 index d03cce48..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_structured_grid_from_zmap.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_structured\_grid\_from\_zmap -========================================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_structured_grid_from_zmap \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_temperature_map.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_temperature_map.rst deleted file mode 100644 index 578ba8b8..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_temperature_map.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_temperature\_map -============================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_temperature_map \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_thickness_maps.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.create_thickness_maps.rst deleted file mode 100644 index 0f848d00..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.create_thickness_maps.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.create\_thickness\_maps -============================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: create_thickness_maps \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.drape_array_over_dem.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.drape_array_over_dem.rst deleted file mode 100644 index 2ab30e80..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.drape_array_over_dem.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.drape\_array\_over\_dem -============================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: drape_array_over_dem \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_batlow_cmap.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.get_batlow_cmap.rst deleted file mode 100644 index a0371f39..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_batlow_cmap.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.get\_batlow\_cmap -====================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: get_batlow_cmap \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_color_lot.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.get_color_lot.rst deleted file mode 100644 index 14b6f104..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_color_lot.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.get\_color\_lot -==================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: get_color_lot \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_mesh_geological_map.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.get_mesh_geological_map.rst deleted file mode 100644 index 8b1e0571..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_mesh_geological_map.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.get\_mesh\_geological\_map -=============================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: get_mesh_geological_map \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_petrel_cmap.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.get_petrel_cmap.rst deleted file mode 100644 index 0866df7d..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_petrel_cmap.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.get\_petrel\_cmap -====================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: get_petrel_cmap \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_points_along_spline.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.get_points_along_spline.rst deleted file mode 100644 index eab2c55a..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_points_along_spline.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.get\_points\_along\_spline -=============================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: get_points_along_spline \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_seismic_cmap.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.get_seismic_cmap.rst deleted file mode 100644 index 742dca0e..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.get_seismic_cmap.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.get\_seismic\_cmap -======================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: get_seismic_cmap \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.group_borehole_dataframe.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.group_borehole_dataframe.rst deleted file mode 100644 index 492cd638..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.group_borehole_dataframe.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.group\_borehole\_dataframe -=============================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: group_borehole_dataframe \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.plane_through_hypocenters.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.plane_through_hypocenters.rst deleted file mode 100644 index 49205c69..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.plane_through_hypocenters.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.plane\_through\_hypocenters -================================================ - -.. currentmodule:: gemgis.visualization - -.. autofunction:: plane_through_hypocenters \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.plot_data.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.plot_data.rst deleted file mode 100644 index 4c98ebda..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.plot_data.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.plot\_data -=============================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: plot_data \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.plot_orientations.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.plot_orientations.rst deleted file mode 100644 index 8d02fc46..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.plot_orientations.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.plot\_orientations -======================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: plot_orientations \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.polyline_from_points.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.polyline_from_points.rst deleted file mode 100644 index b8ddace4..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.polyline_from_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.polyline\_from\_points -=========================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: polyline_from_points \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.read_raster.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.read_raster.rst deleted file mode 100644 index fa22639d..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.read_raster.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.read\_raster -================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: read_raster \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.resample_between_well_deviation_points.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.resample_between_well_deviation_points.rst deleted file mode 100644 index faf7d195..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.resample_between_well_deviation_points.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.resample\_between\_well\_deviation\_points -=============================================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: resample_between_well_deviation_points \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.seismic_to_array.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.seismic_to_array.rst deleted file mode 100644 index 5a5de34b..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.seismic_to_array.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.seismic\_to\_array -======================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: seismic_to_array \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.seismic_to_mesh.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.seismic_to_mesh.rst deleted file mode 100644 index 7e42267e..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.seismic_to_mesh.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.seismic\_to\_mesh -====================================== - -.. currentmodule:: gemgis.visualization - -.. autofunction:: seismic_to_mesh \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/gemgis.visualization.show_well_log_along_well.rst b/docs/getting_started/reference/visualization_api/gemgis.visualization.show_well_log_along_well.rst deleted file mode 100644 index 0b005d97..00000000 --- a/docs/getting_started/reference/visualization_api/gemgis.visualization.show_well_log_along_well.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.visualization.show\_well\_log\_along\_well -================================================= - -.. currentmodule:: gemgis.visualization - -.. autofunction:: show_well_log_along_well \ No newline at end of file diff --git a/docs/getting_started/reference/visualization_api/index.rst b/docs/getting_started/reference/visualization_api/index.rst deleted file mode 100644 index ac45283d..00000000 --- a/docs/getting_started/reference/visualization_api/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference Visualization -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - diff --git a/docs/getting_started/reference/web_api/gemgis.web.create_request.rst b/docs/getting_started/reference/web_api/gemgis.web.create_request.rst deleted file mode 100644 index 1e1d26c0..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.create_request.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.create\_request -========================== - -.. currentmodule:: gemgis.web - -.. autofunction:: create_request \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_as_array.rst b/docs/getting_started/reference/web_api/gemgis.web.load_as_array.rst deleted file mode 100644 index 188895fb..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_as_array.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_as\_array -========================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_as_array \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_as_file.rst b/docs/getting_started/reference/web_api/gemgis.web.load_as_file.rst deleted file mode 100644 index 3d2b0957..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_as_file.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_as\_file -========================= - -.. currentmodule:: gemgis.web - -.. autofunction:: load_as_file \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_as_files.rst b/docs/getting_started/reference/web_api/gemgis.web.load_as_files.rst deleted file mode 100644 index 29b2a17b..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_as_files.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_as\_files -========================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_as_files \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_as_gpd.rst b/docs/getting_started/reference/web_api/gemgis.web.load_as_gpd.rst deleted file mode 100644 index 8c567278..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_as_gpd.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_as\_gpd -======================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_as_gpd \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_as_map.rst b/docs/getting_started/reference/web_api/gemgis.web.load_as_map.rst deleted file mode 100644 index cbcbb1ff..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_as_map.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_as\_map -======================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_as_map \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_wcs.rst b/docs/getting_started/reference/web_api/gemgis.web.load_wcs.rst deleted file mode 100644 index d29b2406..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_wcs.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_wcs -==================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_wcs \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_wfs.rst b/docs/getting_started/reference/web_api/gemgis.web.load_wfs.rst deleted file mode 100644 index 850eed61..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_wfs.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_wfs -==================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_wfs \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/gemgis.web.load_wms.rst b/docs/getting_started/reference/web_api/gemgis.web.load_wms.rst deleted file mode 100644 index fcd5b797..00000000 --- a/docs/getting_started/reference/web_api/gemgis.web.load_wms.rst +++ /dev/null @@ -1,6 +0,0 @@ -gemgis.web.load\_wms -==================== - -.. currentmodule:: gemgis.web - -.. autofunction:: load_wms \ No newline at end of file diff --git a/docs/getting_started/reference/web_api/index.rst b/docs/getting_started/reference/web_api/index.rst deleted file mode 100644 index 24cd8b25..00000000 --- a/docs/getting_started/reference/web_api/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference Web -=========================================== - -.. toctree:: - :maxdepth: 2 - :caption: Contents: - From d2f3b97c0e763120b7eadb09c9371ec32e587c19 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 08:10:15 +0200 Subject: [PATCH 12/40] AddFiniteFaults --- docs/getting_started/api.rst | 421 +++++++++++++++++++++++++++++++++++ gemgis/postprocessing.py | 333 ++++++++++++++++++++++++++- 2 files changed, 752 insertions(+), 2 deletions(-) diff --git a/docs/getting_started/api.rst b/docs/getting_started/api.rst index 7566026d..1daf72d8 100644 --- a/docs/getting_started/api.rst +++ b/docs/getting_started/api.rst @@ -5,6 +5,427 @@ GemGIS API Reference The API reference provides an overview of all functions and methods implemented in GemGIS. +Vector +______ + +The following sections provide an overview of the methods implemented in the GemGIS Vector module. + +Extracting Coordinates from GeoDataFrames +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to extract X and Y coordinates or X, Y, and Z coordinates from GeoDataFrames or Shapely Base Geometries for further usage. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.extract_xy + + gemgis.vector.extract_xy_linestring + gemgis.vector.extract_xy_linestrings + gemgis.vector.extract_xy_points + gemgis.vector.extract_xyz + gemgis.vector.extract_xyz_array + gemgis.vector.extract_xyz_rasterio + gemgis.vector.extract_xyz_points + gemgis.vector.extract_xyz_linestrings + gemgis.vector.extract_xyz_polygons + + +Extracting Coordinates and Intersections from GeoDataFrames/Shapely Polygons +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to extract coordinates and intersections from GeoDataFrames containing Shapely Polygons +or from single Shapely Polygons or multiple Shapely Polygons. + + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.extract_xy_from_polygon_intersections + gemgis.vector.intersection_polygon_polygon + gemgis.vector.intersections_polygon_polygons + gemgis.vector.intersections_polygons_polygons + + +Calculating and extracting coordinates from cross sections +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to calculate and extract coordinates from cross sections where data was stored as Shape +Files and is now loaded as GeoDataFrames. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.extract_interfaces_coordinates_from_cross_section + gemgis.vector.extract_xyz_from_cross_sections + gemgis.vector.calculate_coordinates_for_point_on_cross_section + gemgis.vector.calculate_coordinates_for_linestring_on_cross_sections + gemgis.vector.calculate_coordinates_for_linestrings_on_cross_sections + gemgis.vector.extract_interfaces_coordinates_from_cross_section + +Calculating and extracting angles from cross sections and maps +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to calculate and extract angles from cross sections. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.calculate_angle + gemgis.vector.calculate_azimuth + gemgis.vector.calculate_strike_direction_straight_linestring + gemgis.vector.calculate_strike_direction_bent_linestring + gemgis.vector.calculate_dipping_angle_linestring + gemgis.vector.calculate_dipping_angles_linestrings + gemgis.vector.calculate_orientation_from_bent_cross_section + gemgis.vector.calculate_orientation_from_cross_section + gemgis.vector.calculate_orientations_from_cross_section + gemgis.vector.extract_orientations_from_cross_sections + gemgis.vector.extract_orientations_from_map + gemgis.vector.calculate_orientations_from_strike_lines + gemgis.vector.calculate_orientation_for_three_point_problem + + +Exploding Geometries +~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to explode geometries for further usage in GemGIS + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.explode_linestring + gemgis.vector.explode_linestring_to_elements + gemgis.vector.explode_multilinestring + gemgis.vector.explode_multilinestrings + gemgis.vector.explode_polygon + gemgis.vector.explode_polygons + gemgis.vector.explode_geometry_collection + gemgis.vector.explode_geometry_collections + +Removing Points within Buffers +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to remove Points within Buffers. This can be used to remove interface points in the +vicinity of faults. + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.remove_object_within_buffer + gemgis.vector.remove_objects_within_buffer + gemgis.vector.remove_interfaces_within_fault_buffers + + +Vector Methods for Raster Data +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to work with raster data + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.interpolate_raster + + + +Working with GPX Data +~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to work with GPX data + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.load_gpx + gemgis.vector.load_gpx_as_dict + gemgis.vector.load_gpx_as_geometry + + +Miscellaneous vector data methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further vector data methods used in GemGIS + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.calculate_distance_linestrings + gemgis.vector.calculate_midpoint_linestring + gemgis.vector.calculate_midpoints_linestrings + gemgis.vector.clip_by_bbox + gemgis.vector.clip_by_polygon + gemgis.vector.create_bbox + gemgis.vector.create_buffer + gemgis.vector.create_unified_buffer + gemgis.vector.create_linestring_from_points + gemgis.vector.create_linestring_from_xyz_points + gemgis.vector.create_linestring_gdf + gemgis.vector.create_linestrings_from_contours + gemgis.vector.create_linestrings_from_xyz_points + gemgis.vector.create_polygons_from_faces + gemgis.vector.unify_linestrings + gemgis.vector.unify_polygons + + +Special Methods +~~~~~~~~~~~~~~~~ + +The following methods are special methods used in GemGIS + +.. autosummary:: + :toctree: reference/vector_api + + gemgis.vector.set_dtype + gemgis.vector.sort_by_stratigraphy + gemgis.vector.subtract_geom_objects + gemgis.vector.create_hexagon + gemgis.vector.create_hexagon_grid + gemgis.vector.create_voronoi_polygons + +Raster +______ + +The following sections provide an overview of the methods implemented in the GemGIS Raster module. + +Raster Calculations +~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to perform calculations on rasters + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.calculate_aspect + gemgis.raster.calculate_difference + gemgis.raster.calculate_hillshades + gemgis.raster.calculate_slope + + +Sampling from a Raster +~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to sample values from a raster + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.sample_from_array + gemgis.raster.sample_from_rasterio + gemgis.raster.sample_interfaces + gemgis.raster.sample_orientations + gemgis.raster.sample_randomly + +Reading different raster formats +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to read different raster formats into Python + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.read_asc + gemgis.raster.read_msh + gemgis.raster.read_ts + gemgis.raster.read_zmap + +Miscellaneous raster data methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further raster data methods used in GemGIS + +.. autosummary:: + :toctree: reference/raster_api + + gemgis.raster.clip_by_bbox + gemgis.raster.clip_by_polygon + gemgis.raster.create_filepaths + gemgis.raster.extract_contour_lines_from_raster + gemgis.raster.merge_tiles + gemgis.raster.reproject_raster + gemgis.raster.resize_by_array + gemgis.raster.resize_raster + gemgis.raster.save_as_tiff + + +Visualization +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Visualization module. + + +Creating PolyData and Grid Data from GeoDataFrames, Rasters, and GemPy Models +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to create PolyData from various input data formats. + +.. autosummary:: + :toctree: reference/visualization_api + + gemgis.visualization.create_depth_map + gemgis.visualization.create_depth_maps_from_gempy + gemgis.visualization.create_thickness_maps + gemgis.visualization.create_temperature_map + gemgis.visualization.create_delaunay_mesh_from_gdf + gemgis.visualization.create_dem_3d + gemgis.visualization.create_lines_3d_linestrings + gemgis.visualization.create_lines_3d_polydata + gemgis.visualization.create_mesh_from_cross_section + gemgis.visualization.create_meshes_from_cross_sections + gemgis.visualization.create_meshes_hypocenters + gemgis.visualization.create_points_3d + gemgis.visualization.create_polydata_from_dxf + gemgis.visualization.create_polydata_from_msh + gemgis.visualization.create_polydata_from_ts + gemgis.visualization.create_structured_grid_from_asc + gemgis.visualization.create_structured_grid_from_zmap + + + +Working with Boreholes +~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are used to work with boreholes in GemGIS. + +.. autosummary:: + :toctree: reference/visualization_api + + gemgis.visualization.add_row_to_boreholes + gemgis.visualization.create_borehole_labels + gemgis.visualization.create_borehole_tube + gemgis.visualization.create_borehole_tubes + gemgis.visualization.create_boreholes_3d + gemgis.visualization.create_lines_from_points + gemgis.visualization.create_deviated_borehole_df + gemgis.visualization.create_deviated_boreholes_3d + gemgis.visualization.group_borehole_dataframe + gemgis.visualization.resample_between_well_deviation_points + gemgis.visualization.show_well_log_along_well + +Miscellaneous visualization methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further visualization methods used in GemGIS. + +.. autosummary:: + :toctree: reference/visualization_api + + gemgis.visualization.calculate_vector + gemgis.visualization.clip_seismic_data + gemgis.visualization.convert_to_rgb + gemgis.visualization.drape_array_over_dem + gemgis.visualization.get_batlow_cmap + gemgis.visualization.get_color_lot + gemgis.visualization.get_mesh_geological_map + gemgis.visualization.get_petrel_cmap + gemgis.visualization.get_points_along_spline + gemgis.visualization.get_seismic_cmap + gemgis.visualization.plane_through_hypocenters + gemgis.visualization.plot_data + gemgis.visualization.plot_orientations + gemgis.visualization.polyline_from_points + gemgis.visualization.read_raster + gemgis.visualization.seismic_to_array + gemgis.visualization.seismic_to_mesh + +Utils +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Utils module. + +Miscellaneous utils methods +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +The following methods are further visualization methods used in GemGIS. + +.. autosummary:: + :toctree: reference/utils_api + + gemgis.utils.assign_properties + gemgis.utils.build_style_dict + gemgis.utils.parse_categorized_qml + gemgis.utils.load_surface_colors + gemgis.utils.create_surface_color_dict + gemgis.utils.calculate_lines + gemgis.utils.calculate_number_of_isopoints + gemgis.utils.convert_location_dict_to_gdf + gemgis.utils.convert_to_gempy_df + gemgis.utils.convert_to_petrel_points_with_attributes + gemgis.utils.create_polygon_from_location + gemgis.utils.create_virtual_profile + gemgis.utils.create_zmap_grid + gemgis.utils.extract_zmap_data + gemgis.utils.get_location_coordinate + gemgis.utils.get_locations + gemgis.utils.get_nearest_neighbor + gemgis.utils.getfeatures + gemgis.utils.interpolate_strike_lines + gemgis.utils.ray_trace_multiple_surfaces + gemgis.utils.ray_trace_one_surface + gemgis.utils.read_csv_as_gdf + gemgis.utils.save_zmap_grid + gemgis.utils.set_extent + gemgis.utils.set_resolution + gemgis.utils.show_number_of_data_points + gemgis.utils.to_section_dict + gemgis.utils.transform_location_coordinate + +Web +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Web module. + +.. autosummary:: + :toctree: reference/web_api + + gemgis.web.create_request + gemgis.web.load_as_array + gemgis.web.load_as_file + gemgis.web.load_as_files + gemgis.web.load_as_gpd + gemgis.web.load_as_map + gemgis.web.load_wcs + gemgis.web.load_wfs + gemgis.web.load_wms + +Miscellaneous +______________ + +The following sections provide an overview of the methods implemented in the GemGIS Misc module. + +.. autosummary:: + :toctree: reference/misc_api + + gemgis.misc.get_meta_data + gemgis.misc.get_meta_data_df + gemgis.misc.get_stratigraphic_data + gemgis.misc.get_stratigraphic_data_df + gemgis.misc.load_formations + gemgis.misc.load_pdf + gemgis.misc.load_symbols + + +Postprocessing +______________ + +The following section provides an overview of the methods implemented in the GemGIS postprocessing module. + +.. autosummary:: + :toctree: reference/postprocessing_api + + gemgis.postprocessing.calculate_dip_and_azimuth_from_mesh + gemgis.postprocessing.create_attributes + gemgis.postprocessing.create_subelement + gemgis.postprocessing.create_symbol + gemgis.postprocessing.crop_block_to_topography + gemgis.postprocessing.extract_borehole + gemgis.postprocessing.extract_lithologies + gemgis.postprocessing.extract_orientations_from_mesh + gemgis.postprocessing.save_model + gemgis.postprocessing.save_qgis_qml_file + gemgis.postprocessing.clip_fault_of_gempy_model + gemgis.postprocessing.create_plane_from_interface_and_orientation_dfs + gemgis.postprocessing.translate_clipping_plane Download GemGIS Data diff --git a/gemgis/postprocessing.py b/gemgis/postprocessing.py index 100cb960..4274983a 100644 --- a/gemgis/postprocessing.py +++ b/gemgis/postprocessing.py @@ -21,9 +21,10 @@ from shapely import geometry import geopandas as gpd +import pandas as pd import numpy as np from typing import List, Union -from gemgis import gemgis +from gemgis import gemgis, visualization import pyvista as pv import pyproj import xml @@ -997,4 +998,332 @@ def save_qgis_qml_file(gdf: gpd.geodataframe.GeoDataFrame, # Saving file tree.write(path, encoding="utf-8", xml_declaration=False) - print('QML file successfully saved as %s' % path) \ No newline at end of file + print('QML file successfully saved as %s' % path) + + +def clip_fault_of_gempy_model(geo_model, + fault: str, + which: str = 'first', + buffer_first: Union[int, float] = None, + buffer_last: Union[int, float] = None, + i_size: Union[int, float] = 1000, + j_size: Union[int, float] = 1000, + invert_first: bool = True, + invert_last: bool = False) -> Union[ + pv.core.pointset.PolyData, List[pv.core.pointset.PolyData]]: + """ + Clip fault of a GemPy model. + + Parameters + __________ + geo_model : gp.core.model.Project + GemPy Model containing the faults. + fault : str + String or list of strings containing the name of faults to be clipped, e.g. ``faults='Fault1'``. + which : str, default: ``'first'`` + Parameter to decide which end of the faults to clip. Options include ``'first'``, ``'last'``, or both, + e.g. ``'which='first'``. + buffer_first : Union[int, float] + Int or float value or list of values to clip the fault/s behind the first interface point, + e.g. ``'buffer_first=500'``. + buffer_last : Union[int, float] + Int or float value or list of values to clip the fault/s behind the last interface point, + e.g. ``'buffer_last=500'``. + i_size: Union[int, float] + Size of the plane in the i direction. + j_size: Union[int, float] + Size of the plane in the j direction. + invert_first : bool, default: ``'True'`` + Invert clipping for first plane. + invert_last : bool, default: ``'False'`` + Invert clipping for second plane. + + Returns + _______ + pv.core.pointset.PolyData + Clipped faults. + + .. versionadded :: 1.1 + + See also + ________ + create_plane_from_interface_and_orientation : Create PyVista plane from GemPy interface and orientations + DataFrames. + translate_clipping_plane : Translate clipping plane. + + Example + _______ + + + + """ + # Trying to import gempy but returning error if gempy is not installed + try: + import gempy as gp + except ModuleNotFoundError: + raise ModuleNotFoundError( + 'GemPy package is not installed. Use pip install gempy to install the latest version') + + # Checking that the fault is provided as string + if not isinstance(fault, str): + raise TypeError('Faults must be provided as one string for one fault ') + + # Checking that the fault is a fault of the geo_model + if isinstance(fault, str): + if not fault in geo_model.surfaces.df['surface'][geo_model.surfaces.df['isFault'] == True].tolist(): + raise ValueError('Fault is not part of the GemPy geo_model') + + # Getting the fault DataFrames + fault_df_interfaces = gp.get_data(geo_model, 'surface_points')[ + gp.get_data(geo_model, 'surface_points')['surface'] == fault].reset_index(drop=True) + fault_df_orientations = gp.get_data(geo_model, 'orientations', numeric=True)[ + gp.get_data(geo_model, 'orientations', numeric=True)['surface'] == fault].reset_index(drop=True) + + # Checking that the parameter which is of type string or list of strings + if not isinstance(which, str): + raise TypeError( + 'The parameter "which" must be provided as string. Options for each fault include "first", "last", or "both"') + + # Checking that the correct values are provided for the parameter which + if isinstance(which, str): + if not which in ['first', 'last', 'both']: + raise ValueError('The options for the parameter "which" include "first", "last", or "both"') + + # Checking that the i size is of type int or float + if not isinstance(i_size, (int, float)): + raise TypeError('i_size must be provided as int or float') + + # Checking that the j size is of type int or float + if not isinstance(j_size, (int, float)): + raise TypeError('j_size must be provided as int or float') + + # Extracting depth map + mesh = visualization.create_depth_maps_from_gempy(geo_model, + surfaces=fault) + + # Getting the first interface points + if which == 'first': + + fault_df_interfaces_selected = fault_df_interfaces.iloc[0:1].reset_index(drop=True) + + # Creating plane from DataFrames + plane, azimuth = create_plane_from_interface_and_orientation_dfs(df_interface=fault_df_interfaces_selected, + df_orientations=fault_df_orientations, + i_size=i_size, + j_size=j_size) + # Translating Clipping Plane + if buffer_first: + + # Checking that buffer_first is of type int or float + if not isinstance(buffer_first, (int, float)): + raise TypeError('buffer_first must be provided as int or float') + + plane = translate_clipping_plane(plane=plane, + azimuth=azimuth, + buffer=buffer_first) + # Clipping mesh + mesh[fault][0] = mesh[fault][0].clip_surface(plane, + invert=invert_first) + + # Getting the last interface points + elif which == 'last': + + fault_df_interfaces_selected = fault_df_interfaces.iloc[-1:].reset_index(drop=True) + + # Creating plane from DataFrames + plane, azimuth = create_plane_from_interface_and_orientation_dfs(df_interface=fault_df_interfaces_selected, + df_orientations=fault_df_orientations, + i_size=i_size, + j_size=j_size) + + # Translating Clipping Plane + if buffer_last: + + # Checking that buffer_last is of type int or float + if not isinstance(buffer_last, (int, float)): + raise TypeError('buffer_last must be provided as int or float') + + plane = translate_clipping_plane(plane=plane, + azimuth=azimuth, + buffer=buffer_last) + + # Clipping mesh + mesh[fault][0] = mesh[fault][0].clip_surface(plane, + invert_last) + + if which == 'both': + + # First point + fault_df_interfaces_selected = fault_df_interfaces.iloc[0:1].reset_index(drop=True) + + # Creating plane from DataFrames + plane1, azimuth1 = create_plane_from_interface_and_orientation_dfs(df_interface=fault_df_interfaces_selected, + df_orientations=fault_df_orientations, + i_size=i_size, + j_size=j_size) + # Translating Clipping Plane + if buffer_first: + plane1 = translate_clipping_plane(plane=plane1, + azimuth=azimuth1, + buffer=buffer_first) + + # Last Point + fault_df_interfaces_selected = fault_df_interfaces.iloc[-1:].reset_index(drop=True) + + # Creating plane from DataFrames + plane2, azimuth2 = create_plane_from_interface_and_orientation_dfs(df_interface=fault_df_interfaces_selected, + df_orientations=fault_df_orientations, + i_size=i_size, + j_size=j_size) + + # Translating Clipping Plane + if buffer_last: + plane2 = translate_clipping_plane(plane=plane2, + azimuth=azimuth2, + buffer=-buffer_last) + + # Clipping mesh + mesh[fault][0] = mesh[fault][0].clip_surface(plane1, + invert=invert_first).clip_surface(plane2, + invert=invert_last) + + return mesh + + +def create_plane_from_interface_and_orientation_dfs(df_interface: pd.DataFrame, + df_orientations: pd.DataFrame, + i_size: Union[int, float] = 1000, + j_size: Union[int, float] = 1000) -> pv.core.pointset.PolyData: + """ + Create PyVista plane from GemPy interface and orientations DataFrames. + + Parameters + __________ + df_interface : pd.DataFrame + GemPy Pandas DataFrame containing the interface point for the plane creation. + df_orientations : pd.DataFrame + GemPy Pandas Dataframe containing the orientations for the plane creation. + i_size: Union[int, float] + Size of the plane in the i direction. + j_size: Union[int, float] + Size of the plane in the j direction. + + Returns + _______ + plane : pv.core.pointset.PolyData + Plane for clipping the fault. + azimuth : Union[int, float] + Azimuth of the fault. + + .. versionadded:: 1.1 + + See also + ________ + clip_fault_of_gempy_model : Clip fault of a GemPy model. + translate_clipping_plane : Translate clipping plane. + + Example + _______ + + """ + # Checking that the interface DataFrame is a DataFrame + if not isinstance(df_interface, pd.DataFrame): + raise TypeError('Interface must be provided as Pandas DataFrame') + + # Checking that the orientations DataFrame is a DataFrame + if not isinstance(df_orientations, pd.DataFrame): + raise TypeError('Orientations must be provided as Pandas DataFrame') + + # Checking that the i size is of type int or float + if not isinstance(i_size, (int, float)): + raise TypeError('i_size must be provided as int or float') + + # Checking that the j size is of type int or float + if not isinstance(j_size, (int, float)): + raise TypeError('j_size must be provided as int or float') + + # Creating GeoDataFrame from interface + gdf_interface = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=df_interface['X'], + y=df_interface['Y']), + data=df_interface) + + # Creating GeoDataFrame from orientations + gdf_orientations = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=df_orientations['X'], + y=df_orientations['Y']), + data=df_orientations) + + # Finding nearest orientation to the respective interface to set the orientation of the plane + gdf_orientations_nearest = gpd.sjoin_nearest(gdf_interface, + gdf_orientations) + + # Extracting azimuth for clipping plane + azimuth = gdf_orientations_nearest['azimuth'][0] + + # Extracting center of clipping plane + center = df_interface[['X', 'Y', 'Z']].values[0] + + # Creating clipping plane, direction is created from the orientation of the fault. + plane = pv.Plane(center=center, + direction=(np.cos(np.radians(azimuth)), + np.sin(np.radians(azimuth)), + 0.0), + i_size=i_size, + j_size=j_size) + + return plane, azimuth + + +def translate_clipping_plane(plane: pv.core.pointset.PolyData, + azimuth: Union[int, float, np.int64], + buffer: Union[int, float]) -> pv.core.pointset.PolyData: + """ + Translate clipping plane. + + Parameters + __________ + plane : pv.core.pointset.PolyData + Clipping Plane. + azimuth : Union[int, float, np.int64] + Orientation of the Fault. + buffer : Union[int, float, type(None)] + Buffer to translate the clipping plane along the strike of the fault. + + Returns + _______ + pv.core.pointset.PolyData + Translated clipping plane. + + .. versionadded:: 1.1 + + See also + ________ + create_plane_from_interface_and_orientation : Create PyVista plane from GemPy interface and + orientations DataFrames. + clip_fault_of_gempy_model : Clip fault of a GemPy model. + + Example + _______ + + """ + # Checking that the plane is of type PyVista PolyData + if not isinstance(plane, pv.core.pointset.PolyData): + raise TypeError('The clipping plane must be provided as PyVista PolyData') + + # Checking that the azimuth is of type int or float + if not isinstance(azimuth, (int, float, np.int64)): + raise TypeError('The azimuth must be provided as int or float') + + # Checking that the buffer is of type int or float + if not isinstance(buffer, (int, float, type(None))): + raise TypeError('The buffer must be provided as int or float') + + # Calculating translation factor in X and Y Directio + x_translation = -np.cos(np.radians(azimuth)) * buffer + y_translation = -np.sin(np.radians(azimuth)) * buffer + + # Translating plane + plane = plane.translate((x_translation * np.cos(np.radians(azimuth)), + y_translation * np.sin(np.radians(azimuth)), + 0.0)) + + return plane From 72e596b7ebcd1c272ff32cb174ae084f5994e8ba Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 08:20:47 +0200 Subject: [PATCH 13/40] EditdfSelection --- gemgis/postprocessing.py | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/gemgis/postprocessing.py b/gemgis/postprocessing.py index 4274983a..dc0027fe 100644 --- a/gemgis/postprocessing.py +++ b/gemgis/postprocessing.py @@ -1075,9 +1075,20 @@ def clip_fault_of_gempy_model(geo_model, # Getting the fault DataFrames fault_df_interfaces = gp.get_data(geo_model, 'surface_points')[ - gp.get_data(geo_model, 'surface_points')['surface'] == fault].reset_index(drop=True) - fault_df_orientations = gp.get_data(geo_model, 'orientations', numeric=True)[ - gp.get_data(geo_model, 'orientations', numeric=True)['surface'] == fault].reset_index(drop=True) + gp.get_data(geo_model, + 'surface_points')['surface'] == fault].reset_index(drop=True) + + fault_df_orientations1 = gp.get_data(geo_model, + 'orientations', + numeric=False) + fault_df_orientations2 = gp.get_data(geo_model, + 'orientations', + numeric=True) + + fault_df_orientations = fault_df_orientations1.merge(fault_df_orientations2, + how='inner') + + fault_df_orientations = fault_df_orientations[fault_df_orientations['surface'] == fault].reset_index(drop=True) # Checking that the parameter which is of type string or list of strings if not isinstance(which, str): From edb857d8db4eddc11580f154da9efa3d724dda11 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 09:17:04 +0200 Subject: [PATCH 14/40] AddTutorial68 --- .../images/tutorial68_cover.png | Bin 0 -> 52157 bytes ...8_Creating_Finite_Faults_with_GemGIS.ipynb | 749 ++++++++++++++++++ docs/getting_started/tutorial/index.rst | 3 +- 3 files changed, 751 insertions(+), 1 deletion(-) create mode 100644 docs/getting_started/images/tutorial68_cover.png create mode 100644 docs/getting_started/tutorial/68_Creating_Finite_Faults_with_GemGIS.ipynb diff --git a/docs/getting_started/images/tutorial68_cover.png b/docs/getting_started/images/tutorial68_cover.png new file mode 100644 index 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{ + "cell_type": "markdown", + "id": "86f44ca3", + "metadata": {}, + "source": [ + "# 68 Creating Finite Faults with GemGIS\n", + "\n", + "This notebook illustrates how to create finite faults from a GemPy Model. Here, we will use an elongated version of the Graben Model to later create the finite faults. \n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "e7147456", + "metadata": {}, + "source": [ + "## Set File Paths and download Tutorial Data\n", + "\n", + "If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "eb8af06a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No module named 'osgeo'\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING (aesara.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n", + "WARNING (aesara.configdefaults): g++ not detected! Aesara will be unable to compile C-implementations and will default to Python. Performance may be severely degraded. To remove this warning, set Aesara flags cxx to an empty string.\n", + "WARNING (aesara.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n" + ] + } + ], + "source": [ + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "import gempy as gp\n", + "import gemgis as gg\n", + "import pandas as pd\n", + "import geopandas as gpd\n", + "\n", + "import pyvista as pv" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a4128de8", + "metadata": {}, + "outputs": [], + "source": [ + "file_path ='data/68_rotating_gempy_input_data/'\n", + "# gg.download_gemgis_data.download_tutorial_data(filename=\"68_creating_finite_faults_with_gemgis.zip\", dirpath=file_path)" + ] + }, + { + "cell_type": "markdown", + "id": "0219a63e", + "metadata": {}, + "source": [ + "## Loading Input Data" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "9c8c178c", + "metadata": { + "ExecuteTime": { + "end_time": "2022-07-07T08:52:05.255549Z", + "start_time": "2022-07-07T08:52:05.241536Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "

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XYZformationdipazimuthpolarity
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" + ], + "text/plain": [ + " X Y Z formation dip azimuth polarity\n", + "0 200 500 -100 Layer1 0 0 1\n", + "1 800 500 -100 Layer1 0 0 1\n", + "2 500 500 -300 Layer1 0 0 1\n", + "3 250 500 -100 Fault1 60 90 1\n", + "4 750 500 -100 Fault2 60 270 1" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "orientations = pd.read_csv(file_path + 'orientations.csv', delimiter=';')\n", + "orientations.head()" + ] + }, + { + "cell_type": "markdown", + "id": "aad5d629", + "metadata": {}, + "source": [ + "## Creating the GemPy Model" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "eb3ec438", + "metadata": { + "ExecuteTime": { + "end_time": "2022-07-10T16:23:35.919153Z", + "start_time": "2022-07-10T16:23:35.665279Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Graben_Model 2023-08-18 09:11" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "geo_model = gp.create_model('Graben_Model')\n", + "geo_model" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ca6dfa3e", + "metadata": { + "ExecuteTime": { + "end_time": "2022-07-10T16:23:37.073588Z", + "start_time": "2022-07-10T16:23:36.681498Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Active grids: ['regular']\n", + "Fault colors changed. If you do not like this behavior, set change_color to False.\n", + "Fault colors changed. If you do not like this behavior, set change_color to False.\n", + "[-120. 0.]\n", + "Active grids: ['regular' 'topography']\n", + "Compiling aesara function...\n", + "Level of Optimization: fast_compile\n", + "Device: cpu\n", + "Precision: float64\n", + "Number of faults: 2\n", + "Compilation Done!\n", + "Kriging values: \n", + " values\n", + "range 2315.17\n", + "$C_o$ 127619.05\n", + "drift equations [3, 3, 3]\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 surfaceseriesorder_surfacescolorid
3Fault1Fault11#5276821
4Fault2Fault21#5276822
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2Layer3Strata13#4439885
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compile_theano=True,\n", + " theano_optimizer='fast_compile',\n", + " verbose=[],\n", + " update_kriging=False\n", + " )\n", + "geo_model.surfaces" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6751531a", + "metadata": { + "ExecuteTime": { + "end_time": "2022-07-10T16:23:42.152463Z", + "start_time": "2022-07-10T16:23:41.328128Z" + } + }, + "outputs": [ + { + "data": { + "image/jpeg": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gp.plot_3d(geo_model, image=False, plotter_type='basic', notebook=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5b7b2377", + "metadata": { + "ExecuteTime": { + "end_time": "2022-07-10T16:24:27.468449Z", + "start_time": "2022-07-10T16:23:46.725299Z" + } + }, + "outputs": [], + "source": [ + "sol = gp.compute_model(geo_model, compute_mesh=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "43e38934", + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gp.plot_3d(geo_model, notebook=True)" + ] + }, + { + "cell_type": "markdown", + "id": "6e08557d-71c9-43ae-a235-09678132f67a", + "metadata": {}, + "source": [ + "## Creating Finite Faults from GemPy Model\n", + "\n", + "Finite faults will be created during a postprocessing step performed in GemGIS. Here, we are using the function `clip_fault_of_gempy_model(..)` to clip a fault. By default, the fault will be clipped at the first or last interface point (both sides can be chosen). In addition, a buffer along the strike of the fault can be chosen to allow the fault to extend beyond the last interface point if wished. \n", + "\n", + "Here, we are choosing to clip the fault on both ends. For the one end, we would like to have a 250 m buffer so that the fault extends beyond the first point. For the last point, we do not want to have a buffer." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "cf16be5d-9ca2-4fb8-a5e7-404ce6cee943", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Fault1': [PolyData (0x216abcb9fc0)\n", + " N Cells: 3545\n", + " N Points: 1896\n", + " N Strips: 0\n", + " X Bounds: 2.027e+02, 5.352e+02\n", + " Y Bounds: -2.000e+02, 9.500e+02\n", + " Z Bounds: -5.940e+02, -1.800e+01\n", + " N Arrays: 1,\n", + " '#527682']}" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mesh = gg.postprocessing.clip_fault_of_gempy_model(geo_model,fault='Fault1', \n", + " which='both', \n", + " buffer_first=250, \n", + " buffer_last=0)\n", + "mesh" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4384758b-666c-4757-bd10-ebf2d4356ab5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
PolyDataInformation
N Cells2
N Points2
N Strips0
X Bounds2.500e+02, 2.500e+02
Y Bounds5.000e+01, 9.500e+02
Z Bounds-1.000e+02, -1.000e+02
N Arrays0
\n", + "\n" + ], + "text/plain": [ + "PolyData (0x216abcbafe0)\n", + " N Cells: 2\n", + " N Points: 2\n", + " N Strips: 0\n", + " X Bounds: 2.500e+02, 2.500e+02\n", + " Y Bounds: 5.000e+01, 9.500e+02\n", + " Z Bounds: -1.000e+02, -1.000e+02\n", + " N Arrays: 0" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fault_polydata = pv.PolyData(interfaces[interfaces['formation']=='Fault1'][['X', 'Y', 'Z']].values)\n", + "fault_polydata" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8efe44b1-2bbe-4048-8423-ab91f646aa88", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'Fault1': [PolyData (0x216abcb9780)\n", + " N Cells: 5786\n", + " N Points: 3015\n", + " N Strips: 0\n", + " X Bounds: 2.027e+02, 5.352e+02\n", + " Y Bounds: -4.800e+02, 1.480e+03\n", + " Z Bounds: -5.940e+02, -1.800e+01\n", + " N Arrays: 1,\n", + " '#527682']}" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mesh1 = gg.visualization.create_depth_maps_from_gempy(geo_model, surfaces='Fault1')\n", + "mesh1" + ] + }, + { + "cell_type": "markdown", + "id": "71471da6-4f01-4b81-8b0d-efa735dd9329", + "metadata": {}, + "source": [ + "## Plotting the Result\n", + "\n", + "Plotting the result, we can see the interface points of the fault (red spheres), the original extent of the fault modeled by GemPy in gray and the clipped fault (finite fault) with a buffer on one side in red." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "c703c477-18d1-4691-b7d9-c472f92da7d6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "p = pv.Plotter(notebook=True)\n", + "\n", + "p.add_mesh(mesh['Fault1'][0], color='red', opacity=0.5)\n", + "p.add_mesh(mesh1['Fault1'][0], color=mesh1['Fault1'][1])\n", + "\n", + "p.add_mesh(fault_polydata, color='red', point_size=40, render_points_as_spheres=True)\n", + "\n", + "p.set_background('white')\n", + "p.set_scale(1,1,1)\n", + "p.show_bounds(color='black', font_size=12)\n", + "\n", + "p.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/getting_started/tutorial/index.rst b/docs/getting_started/tutorial/index.rst index 0de9a1a7..989bdc35 100644 --- a/docs/getting_started/tutorial/index.rst +++ b/docs/getting_started/tutorial/index.rst @@ -105,4 +105,5 @@ Each set of functions of GemGIS is collected in a different module. The function 64_displaying_seismic_line_density 65_displaying_seismic_horizons_and_faults 66_generating_voronoi_polygons - 67_rotating_gempy_input_data \ No newline at end of file + 67_rotating_gempy_input_data + 68_Creating_Finite_Faults_with_GemGIS \ No newline at end of file From 453ea1d45f6344214d05c88006907eeabd7f0996 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 09:17:40 +0200 Subject: [PATCH 15/40] PrepareRelease --- docs/conf.py | 2 +- gemgis/__init__.py | 6 ++---- setup.py | 2 +- 3 files changed, 4 insertions(+), 6 deletions(-) diff --git a/docs/conf.py b/docs/conf.py index 0875dd95..c763ca23 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -17,7 +17,7 @@ author = 'Alexander Juestel' # The full version, including alpha/beta/rc tags -release = '1.0.11' +release = '1.0.12' version = release # -- GemGIS configuration --------------------------------------------------- diff --git a/gemgis/__init__.py b/gemgis/__init__.py index 31beddb1..b2b2a449 100644 --- a/gemgis/__init__.py +++ b/gemgis/__init__.py @@ -18,9 +18,9 @@ __affiliations__ = 'CGRE - RWTH Aachen University' -__version_date__ = '2023-07-31' +__version_date__ = '2023-08-18' -__version__ = '1.1' +__version__ = '1.0.12' __changelog__ = """What is new in version 1.1.: @@ -28,8 +28,6 @@ """ - - from gemgis.gemgis import * import gemgis.vector as vector import gemgis.raster as raster diff --git a/setup.py b/setup.py index bfbc99f3..5c047af3 100644 --- a/setup.py +++ b/setup.py @@ -1,7 +1,7 @@ from setuptools import setup, find_packages from os import path -version = '1.0.11' +version = '1.0.12' # Loading Readme for Description on PyPi this_directory = path.abspath(path.dirname(__file__)) From 7b9196f55eb31f20dbb38ed7e49331c912201f53 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 09:22:25 +0200 Subject: [PATCH 16/40] AddReferences --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 53b4be40..c2b1af06 100644 --- a/README.md +++ b/README.md @@ -55,6 +55,8 @@ We welcome issue reports, questions, ideas for new features and pull-requests to
## References +* Jüstel et al., (2023). From Maps to Models - Tutorials for structural geological modeling using GemPy and GemGIS. Journal of Open Source Education, 6(66), 185, https://doi.org/10.21105/jose.00185 +* Jüstel et al., (2022). GemGIS - Spatial Data Processing for Geomodeling. Journal of Open Source Software, 7(73), 3709, https://doi.org/10.21105/joss.03709 * Jüstel, A., Endlein Correira, A., Wellmann, F. and Pischke, M.: GemGIS – GemPy Geographic: Open-Source Spatial Data Processing for Geological Modeling. EGU General Assembly 2021, https://doi.org/10.5194/egusphere-egu21-4613, 2021 * Jüstel, A.: 3D Probabilistic Modeling and Data Analysis of the Aachen-Weisweiler Area: Implications for Deep Geothermal Energy Exploration, unpublished Master Thesis at RWTH Aachen University, 2020 * de la Varga, M., Schaaf, A., and Wellmann, F.: GemPy 1.0: open-source stochastic geological modeling and inversion, Geosci. Model Dev., 12, 1-32, https://doi.org/10.5194/gmd-12-1-2019, 2019 From a070d8f3345f894a422285015e3001bd68e8a377 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 09:56:36 +0200 Subject: [PATCH 17/40] PrepareRelease1.1 --- docs/conf.py | 2 +- gemgis/__init__.py | 4 ++-- setup.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/conf.py b/docs/conf.py index c763ca23..2d643f5e 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -17,7 +17,7 @@ author = 'Alexander Juestel' # The full version, including alpha/beta/rc tags -release = '1.0.12' +release = '1.1.0' version = release # -- GemGIS configuration --------------------------------------------------- diff --git a/gemgis/__init__.py b/gemgis/__init__.py index b2b2a449..7b1e3232 100644 --- a/gemgis/__init__.py +++ b/gemgis/__init__.py @@ -20,9 +20,9 @@ __version_date__ = '2023-08-18' -__version__ = '1.0.12' +__version__ = '1.1.0' -__changelog__ = """What is new in version 1.1.: +__changelog__ = """What is new in version 1.1.0: diff --git a/setup.py b/setup.py index 5c047af3..8e823e33 100644 --- a/setup.py +++ b/setup.py @@ -1,7 +1,7 @@ from setuptools import setup, find_packages from os import path -version = '1.0.12' +version = '1.1.0' # Loading Readme for Description on PyPi this_directory = path.abspath(path.dirname(__file__)) From c5fbca6467e63f9234addf2a3c72e61ee184312e Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 18 Aug 2023 11:30:36 +0200 Subject: [PATCH 18/40] FixClippingFunction --- gemgis/postprocessing.py | 18 ++++-------------- 1 file changed, 4 insertions(+), 14 deletions(-) diff --git a/gemgis/postprocessing.py b/gemgis/postprocessing.py index dc0027fe..28bc19d2 100644 --- a/gemgis/postprocessing.py +++ b/gemgis/postprocessing.py @@ -1074,21 +1074,11 @@ def clip_fault_of_gempy_model(geo_model, raise ValueError('Fault is not part of the GemPy geo_model') # Getting the fault DataFrames - fault_df_interfaces = gp.get_data(geo_model, 'surface_points')[ - gp.get_data(geo_model, - 'surface_points')['surface'] == fault].reset_index(drop=True) + fault_df_interfaces = geo_model.surface_points.df[ + geo_model.surface_points.df['surface'] == fault].reset_index(drop=True) - fault_df_orientations1 = gp.get_data(geo_model, - 'orientations', - numeric=False) - fault_df_orientations2 = gp.get_data(geo_model, - 'orientations', - numeric=True) - - fault_df_orientations = fault_df_orientations1.merge(fault_df_orientations2, - how='inner') - - fault_df_orientations = fault_df_orientations[fault_df_orientations['surface'] == fault].reset_index(drop=True) + fault_df_orientations = geo_model.orientations.df[ + geo_model.orientations.df['surface'] == fault].reset_index(drop=True) # Checking that the parameter which is of type string or list of strings if not isinstance(which, str): From fca8f5ad60be2c81e1c0b6d558001548768f06fc Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Mon, 21 Aug 2023 11:21:57 +0200 Subject: [PATCH 19/40] Fix#298 --- gemgis/utils.py | 60 +++++++++++++++++++++++++++++++++++++++++++++++++ project.toml | 56 +++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 116 insertions(+) create mode 100644 project.toml diff --git a/gemgis/utils.py b/gemgis/utils.py index e2b4cb04..768d4d63 100644 --- a/gemgis/utils.py +++ b/gemgis/utils.py @@ -2434,3 +2434,63 @@ def rotate_gempy_input_data(extent: Union[np.ndarray, shapely.geometry.Polygon, else: return extent, interfaces_rotated, orientations_rotated + + +def open_mpk(path_in: str): + """ + Read ArcGIS .mpk file and return vector and raster data. + + Parameters + __________ + path_in : str + Path to the .mpk file, e.g. ``path='file.mpk'`` + + Returns + _______ + dict_vector_data : dict + Dictionary containing the extracted vector data. + dict_raster_data: dict + Dictionary containing the extracted raster data. + + Example + _______ + + """ + # Trying to import py7zr but returning error if py7zr is not installed + try: + import py7zr as gp + except ModuleNotFoundError: + raise ModuleNotFoundError( + 'py7zr package is not installed. Use pip install py7zr to install the latest version') + + # Checking that the file path is of type string + if not isinstance(path_in, str): + raise TypeError('The file path must be provided as string') + + # Renaming .mpk file to .zip file + path_out = path_in.split('.mpk')[0] + os.rename(path_in, path_out + '.zip') + + # Unzipping files + with py7zr.SevenZipFile(path_out + '.zip', + 'r') as archive: + archive.extractall(path=path_out) + + # Getting vector data files + files_vector_data = [os.path.join(path, name) for path, subdirs, files in os.walk(path_out) + for name in files if name.endswith(".shp")] + + # Creating vector data dict + dict_vector_data = {file.rsplit('\\')[-1]: gpd.read_file(file) for file in files_vector_data} + + # TODO: Add support for .tif files if case arises + + # Getting raster data files + files_raster_data_adf = [os.path.join(path, name) for path, subdirs, files in os.walk(path_out) for name in files if + (name.endswith(".adf")) & (name.startswith("w001001."))] + + # Creating raster data dict + dict_raster_data = {file.rsplit('\\')[-1]: rasterio.open(file) for file in files_raster_data_adf} + + return dict_vector_data, dict_raster_data + diff --git a/project.toml b/project.toml new file mode 100644 index 00000000..f17b0802 --- /dev/null +++ b/project.toml @@ -0,0 +1,56 @@ +[build-system] +requires = ["setuptools>=68.1.2", + "wheel", + "setuptools_scm[toml]>=6.2"] + +build-backend = "setuptools.build_meta" + +[project] +name = "GemGIS" + +authors = [ + {name = "Alexander Jüstel", email = "alexander.juestel@rwth-aachen.de"}, +] + +# maintainers = [ +# {name = "All the contributors"}, +# ] + +description = "Spatial data processing for geomodeling" + +keywords = ["visualization", "python", "processing", "jupyter", "modeling", "geospatial", "jupyter-notebook", + "geographic-data", "spatial-data", "notebooks", "raster-data", "vector-data", "geographic", "geomodeling"] + +readme = "README.md" + +license = {file = LICENSE} + +dynamic = ["Version"] + +requires-python = ">=3.8" + +classifiers = [ + 'Development Status :: 5 - Production/Stable', + 'Intended Audience :: Science/Research', + 'Topic :: Scientific/Engineering :: Information Analysis', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Programming Language :: Python :: 3.11', + 'License :: OSI Approved :: LGPL-3.0-only License', + 'Operating System :: OS Independent', +] + +dependencies = [ + "geopandas", + "rasterio", + "pyvista", +] + +[project.urls] +Documentation = 'https://gemgis.readthedocs.io/' +Home = 'https://gemgis.readthedocs.io/' +"Bug Tracker" = 'https://github.com/cgre-aachen/gemgis/issues' +Repository = 'https://github.com/cgre-aachen/gemgis' +"Source Code" = 'https://github.com/cgre-aachen/gemgis' + From b8adeb59cd137fad5cfbf7f5baaeb0d4f1f8662a Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 2 Sep 2023 08:04:26 +0200 Subject: [PATCH 20/40] AddRequirementsToWorkflow --- .github/workflows/pypi_release.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/pypi_release.yml b/.github/workflows/pypi_release.yml index 5859f403..99a0e10e 100644 --- a/.github/workflows/pypi_release.yml +++ b/.github/workflows/pypi_release.yml @@ -22,6 +22,7 @@ jobs: run: | python -m pip install --upgrade pip pip install setuptools wheel twine + pip install -r requirements.txt - name: Build and publish env: TWINE_USERNAME: ${{ secrets.PYPI_USERS }} From fe79404228868b5ed074ef9c689dd41d8816be88 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 2 Sep 2023 08:10:20 +0200 Subject: [PATCH 21/40] EditProjecttoml --- project.toml | 18 +----------------- 1 file changed, 1 insertion(+), 17 deletions(-) diff --git a/project.toml b/project.toml index f17b0802..4978be33 100644 --- a/project.toml +++ b/project.toml @@ -1,34 +1,20 @@ [build-system] requires = ["setuptools>=68.1.2", - "wheel", "setuptools_scm[toml]>=6.2"] - build-backend = "setuptools.build_meta" [project] name = "GemGIS" - authors = [ {name = "Alexander Jüstel", email = "alexander.juestel@rwth-aachen.de"}, ] - -# maintainers = [ -# {name = "All the contributors"}, -# ] - description = "Spatial data processing for geomodeling" - keywords = ["visualization", "python", "processing", "jupyter", "modeling", "geospatial", "jupyter-notebook", "geographic-data", "spatial-data", "notebooks", "raster-data", "vector-data", "geographic", "geomodeling"] - readme = "README.md" - license = {file = LICENSE} - dynamic = ["Version"] - requires-python = ">=3.8" - classifiers = [ 'Development Status :: 5 - Production/Stable', 'Intended Audience :: Science/Research', @@ -37,16 +23,14 @@ classifiers = [ 'Programming Language :: Python :: 3.9', 'Programming Language :: Python :: 3.10', 'Programming Language :: Python :: 3.11', - 'License :: OSI Approved :: LGPL-3.0-only License', + 'License :: OSI Approved :: GNU General Public License v3 (GPLv3)', 'Operating System :: OS Independent', ] - dependencies = [ "geopandas", "rasterio", "pyvista", ] - [project.urls] Documentation = 'https://gemgis.readthedocs.io/' Home = 'https://gemgis.readthedocs.io/' From 6cfb1eedd0ac065656507fd1f5ae6cdbc111165f Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 2 Sep 2023 11:08:39 +0200 Subject: [PATCH 22/40] SetNoDataValue --- gemgis/visualization.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/gemgis/visualization.py b/gemgis/visualization.py index fed23750..965a1d30 100644 --- a/gemgis/visualization.py +++ b/gemgis/visualization.py @@ -618,6 +618,9 @@ def read_raster(path=str, .. versionadded:: 1.0.x + .. versionchanged:: 1.1.1 + Set nodata value manually if no data value is provided and raster does not contain nodata values + Example _______ @@ -688,7 +691,10 @@ def read_raster(path=str, # Setting the nodata value if nodata_val is None: - nodata_val = data.nodatavals + try: + nodata_val = data.nodatavals + 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J@~_+q_%F!Hvnc=o literal 0 HcmV?d00001 diff --git a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb new file mode 100644 index 00000000..f69ae074 --- /dev/null +++ b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb @@ -0,0 +1,942 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "86f44ca3", + "metadata": {}, + "source": [ + "# 70 Reprojecting Seismic Data and extracting path and CDP points from Seismic Data\n", + "\n", + "This notebook illustrates how to reproject 2D seismic data from the original coordinate system to a new coordinate system. In this tutorial, we are making use of the `segysak` package (https://segysak.readthedocs.io/en/latest/) to load the seismic data in combination with `GeoPandas` (https://geopandas.org/en/stable/) to perform the coordinate reprojection. Further, it is shown how to export the path of the seismic data as LineString, as CDP points and as points every n-th meter along the line.\n", + "\n", + "" + ] + }, + { + "cell_type": "markdown", + "id": "e7147456", + "metadata": {}, + "source": [ + "## Set File Paths and download Tutorial Data\n", + "\n", + "If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "eb8af06a", + "metadata": {}, + "outputs": [], + "source": [ + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "# import gemgis as gg\n", + "import geopandas as gpd\n", + "import matplotlib.pyplot as plt\n", + "from typing import Union\n", + "import pyproj\n", + "import numpy as np\n", + "import shapely\n", + "from shapely.geometry import LineString" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "a4128de8", + "metadata": {}, + "outputs": [], + "source": [ + "file_path ='data/70_reprojecting_seismic_data/'\n", + "# gg.download_gemgis_data.download_tutorial_data(filename=\"68_creating_finite_faults_with_gemgis.zip\", dirpath=file_path)" + ] + }, + { + "cell_type": "markdown", + "id": "fee09444-505a-4834-b669-2cd2a1223f60", + "metadata": {}, + "source": [ + "## Defining functions\n", + "\n", + "As there may be conflicts between the dependencies of GemGIS and the `segysak` package, we define the functions that are needed to reproject the seismic data and for the further contents of the notebook. However, they are also implemented in the GemGIS `utils` module. " + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7bbd5398-7730-40c8-b29b-b5d072ed9642", + "metadata": {}, + "outputs": [], + "source": [ + "def convert_crs_seismic_data(path_in: str,\n", + " path_out: str,\n", + " crs_in: Union[str, pyproj.crs.crs.CRS],\n", + " crs_out: Union[str, pyproj.crs.crs.CRS],\n", + " cdpx: int = 181,\n", + " cdpy: int = 185,\n", + " vert_domain: str = 'TWT'):\n", + " \"\"\"Convert CDP coordinates of seismic data to a new CRS.\n", + "\n", + " Parameters\n", + " __________\n", + " path_in : str\n", + " Path to the original seismic data, e.g. ``path_in='seismic.sgy'``.\n", + " path_out : str\n", + " Path to the converted seismic data, e.g. ``path_out='seismic_converted.sgy'``.\n", + " crs_in : str, pyproj.crs.crs.CRS\n", + " Coordinate reference system of the original seismic data.\n", + " crs_out : str, pyproj.crs.crs.CRS\n", + " Coordinate reference system of the converted seismic data.\n", + " cdpx : int\n", + " Byte position for the X coordinates, default is ``cdpx=181``.\n", + " cdpy : int\n", + " Byte position for the Y coordinates, default is ``cdpx=185``.\n", + " vert_domain : str\n", + " Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``.\n", + "\n", + " .. versionadded:: 1.1.1\n", + "\n", + " \"\"\"\n", + " # Trying to import segysak but returning error if segysak is not installed\n", + " try:\n", + " from segysak.segy import segy_loader, segy_writer\n", + " except ModuleNotFoundError:\n", + " raise ModuleNotFoundError(\n", + " 'segysak package is not installed. Use pip install segysak to install the latest version')\n", + "\n", + " # Checking that path_in is of type string\n", + " if not isinstance(path_in, str):\n", + " raise TypeError('path_in must be provided as string')\n", + "\n", + " # Checking that path_out is of type string\n", + " if not isinstance(path_out, str):\n", + " raise TypeError('path_out must be provided as string')\n", + "\n", + " # Checking that crs_in is of type string or pyproj CRS\n", + " if not isinstance(crs_in, (str, pyproj.crs.crs.CRS)):\n", + " raise TypeError('crs_in must be provided as string or pyproj CRS')\n", + "\n", + " # Checking that crs_out is of type string or pyproj CRS\n", + " if not isinstance(crs_out, (str, pyproj.crs.crs.CRS)):\n", + " raise TypeError('crs_out must be provided as string or pyproj CRS')\n", + "\n", + " # Checking that vert_domain is of type str\n", + " if not isinstance(vert_domain, str):\n", + " raise TypeError('vert_domain must be provided as string')\n", + "\n", + " # Loading seismic data\n", + " seismic = segy_loader(path_in,\n", + " vert_domain=vert_domain,\n", + " cdpx=cdpx,\n", + " cdpy=cdpy)\n", + "\n", + " # Converting Seismic to DataFrame\n", + " df_seismic = seismic.to_dataframe()\n", + "\n", + " # Checking that the CDP coordinates are in the DataFrame\n", + " if not {'cdp_x', 'cdp_y'}.issubset(df_seismic.columns):\n", + " raise ValueError(\n", + " 'No coordinates found, please provide the byte positions where the X and Y data of the CDPs is stored')\n", + "\n", + " # Extracting the length of the samples to reduce computing time\n", + " samples = len(df_seismic.index.get_level_values(1).unique())\n", + "\n", + " # Resample DataFrame\n", + " df_seismic_resampled = df_seismic[::samples]\n", + "\n", + " # Reprojecting Coordinates\n", + " df_seismic_reprojected = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=df_seismic_resampled['cdp_x'].values,\n", + " y=df_seismic_resampled['cdp_y'].values),\n", + " crs=crs_in).to_crs(crs_out)\n", + "\n", + " # Extracting reprojected coordinates\n", + " x = df_seismic_reprojected.geometry.x.values\n", + " y = df_seismic_reprojected.geometry.y.values\n", + "\n", + " # Assigning new coordinates\n", + " seismic['cdp_x'][:] = x\n", + " seismic['cdp_y'][:] = y\n", + "\n", + " # Saving reprojected seismic data to file\n", + " segy_writer(seismic,\n", + " path_out,\n", + " trace_header_map=dict(cdp_x=181,\n", + " cdp_y=185))\n", + "\n", + " print('Seismic data was successfully reprojected and saved to file')\n", + "\n", + "\n", + "def get_cdp_linestring_of_seismic_data(path_in: str,\n", + " crs_in: Union[str, pyproj.crs.crs.CRS],\n", + " cdpx: int = 181,\n", + " cdpy: int = 185,\n", + " vert_domain: str = 'TWT'):\n", + " \"\"\"Extracting the path of the seismic data as LineString.\n", + "\n", + " Parameters\n", + " __________\n", + " path_in : str\n", + " Path to the original seismic data, e.g. ``path_in='seismic.sgy'``.\n", + " crs_in : str, pyproj.crs.crs.CRS\n", + " Coordinate reference system of the original seismic data.\n", + " cdpx : int\n", + " Byte position for the X coordinates, default is ``cdpx=181``.\n", + " cdpy : int\n", + " Byte position for the Y coordinates, default is ``cdpx=185``.\n", + " vert_domain : str\n", + " Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``.\n", + "\n", + " Returns\n", + " _______\n", + " gpd.GeoDataFrame\n", + " GeoDataFrame containing the surface path of the seismic data as LineString.\n", + "\n", + " .. versionadded:: 1.1.1\n", + "\n", + " \"\"\"\n", + " # Trying to import segysak but returning error if segysak is not installed\n", + " try:\n", + " from segysak.segy import segy_loader, segy_writer\n", + " except ModuleNotFoundError:\n", + " raise ModuleNotFoundError(\n", + " 'segysak package is not installed. Use pip install segysak to install the latest version')\n", + "\n", + " # Checking that path_in is of type string\n", + " if not isinstance(path_in, str):\n", + " raise TypeError('path_in must be provided as string')\n", + "\n", + " # Checking that crs_in is of type string or pyproj CRS\n", + " if not isinstance(crs_in, (str, pyproj.crs.crs.CRS)):\n", + " raise TypeError('crs_in must be provided as string or pyproj CRS')\n", + "\n", + " # Checking that vert_domain is of type str\n", + " if not isinstance(vert_domain, str):\n", + " raise TypeError('vert_domain must be provided as string')\n", + "\n", + " # Loading seismic data\n", + " seismic = segy_loader(path_in,\n", + " vert_domain=vert_domain,\n", + " cdpx=cdpx,\n", + " cdpy=cdpy)\n", + "\n", + " # Converting Seismic to DataFrame\n", + " df_seismic = seismic.to_dataframe()\n", + "\n", + " # Checking that the CDP coordinates are in the DataFrame\n", + " if not {'cdp_x', 'cdp_y'}.issubset(df_seismic.columns):\n", + " raise ValueError(\n", + " 'No coordinates found, please provide the byte positions where the X and Y data of the CDPs is stored')\n", + "\n", + " # Extracting the length of the samples to reduce computing time\n", + " samples = len(df_seismic.index.get_level_values(1).unique())\n", + "\n", + " # Resample DataFrame\n", + " df_seismic_resampled = df_seismic[::samples]\n", + "\n", + " # Creating LineString from coordinates\n", + " linestring = LineString(np.c_[(df_seismic_resampled['cdp_x'].values,\n", + " df_seismic_resampled['cdp_y'].values)])\n", + "\n", + " # Reprojecting Coordinates\n", + " gdf_seismic = gpd.GeoDataFrame(geometry=[linestring],\n", + " crs=crs_in)\n", + "\n", + " return gdf_seismic\n", + "\n", + "\n", + "def get_cdp_points_of_seismic_data(path_in: str,\n", + " crs_in: Union[str, pyproj.crs.crs.CRS],\n", + " cdpx: int = 181,\n", + " cdpy: int = 185,\n", + " vert_domain: str = 'TWT',\n", + " filter: int = None,\n", + " n_meter: Union[int, float] = None):\n", + " \"\"\"Extracting the path of the seismic data as LineString.\n", + "\n", + " Parameters\n", + " __________\n", + " path_in : str\n", + " Path to the original seismic data, e.g. ``path_in='seismic.sgy'``.\n", + " crs_in : str, pyproj.crs.crs.CRS\n", + " Coordinate reference system of the original seismic data.\n", + " cdpx : int\n", + " Byte position for the X coordinates, default is ``cdpx=181``.\n", + " cdpy : int\n", + " Byte position for the Y coordinates, default is ``cdpx=185``.\n", + " vert_domain : str\n", + " Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``.\n", + " filter : int\n", + " Filtering the points to only return every n-th point, e.g. ``filter=100`` to return only every 100-th point.\n", + " n_meter : int, float\n", + " Parameter to select a point along the line every n-th meter.\n", + " \n", + " Returns\n", + " _______\n", + " gpd.GeoDataFrame\n", + " GeoDataFrame containing the CDPs as Points.\n", + "\n", + " .. versionadded:: 1.1.1\n", + "\n", + " \"\"\"\n", + " # Trying to import segysak but returning error if segysak is not installed\n", + " try:\n", + " from segysak.segy import segy_loader, segy_writer\n", + " except ModuleNotFoundError:\n", + " raise ModuleNotFoundError(\n", + " 'segysak package is not installed. Use pip install segysak to install the latest version')\n", + "\n", + " # Checking that path_in is of type string\n", + " if not isinstance(path_in, str):\n", + " raise TypeError('path_in must be provided as string')\n", + "\n", + " # Checking that crs_in is of type string or pyproj CRS\n", + " if not isinstance(crs_in, (str, pyproj.crs.crs.CRS)):\n", + " raise TypeError('crs_in must be provided as string or pyproj CRS')\n", + "\n", + " # Checking that vert_domain is of type str\n", + " if not isinstance(vert_domain, str):\n", + " raise TypeError('vert_domain must be provided as string')\n", + "\n", + " # Loading seismic data\n", + " seismic = segy_loader(path_in,\n", + " vert_domain=vert_domain,\n", + " cdpx=cdpx,\n", + " cdpy=cdpy)\n", + "\n", + " # Converting Seismic to DataFrame\n", + " df_seismic = seismic.to_dataframe()\n", + "\n", + " # Checking that the CDP coordinates are in the DataFrame\n", + " if not {'cdp_x', 'cdp_y'}.issubset(df_seismic.columns):\n", + " raise ValueError(\n", + " 'No coordinates found, please provide the byte positions where the X and Y data of the CDPs is stored')\n", + "\n", + " # Extracting the length of the samples to reduce computing time\n", + " samples = len(df_seismic.index.get_level_values(1).unique())\n", + "\n", + " # Resample DataFrame\n", + " df_seismic_resampled = df_seismic[::samples]\n", + "\n", + " if n_meter:\n", + "\n", + " # Creating LineString from coordinates\n", + " linestring = LineString(np.c_[(df_seismic_resampled['cdp_x'].values,\n", + " df_seismic_resampled['cdp_y'].values)])\n", + "\n", + " # Defining number of samples\n", + " samples = np.arange(0, round(linestring.length/n_meter)+1, 1)\n", + "\n", + " # Getting points every n_meter\n", + " points = [shapely.line_interpolate_point(linestring, n_meter*sample) for sample in samples]\n", + "\n", + " # Creating GeoDataFrame from points\n", + " gdf_seismic = gpd.GeoDataFrame(geometry=points,\n", + " crs=crs_in)\n", + "\n", + " # Appending distance\n", + " gdf_seismic['distance'] = samples*n_meter\n", + "\n", + " else:\n", + " # Creating Points from coordinates\n", + " gdf_seismic = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=df_seismic_resampled['cdp_x'].values,\n", + " y=df_seismic_resampled['cdp_y'].values),\n", + " data=df_seismic_resampled,\n", + " crs=crs_in).reset_index().drop(['twt', 'data'], axis=1)\n", + " \n", + " # Returning only every nth point\n", + " if filter:\n", + " gdf_seismic = gdf_seismic[::filter]\n", + "\n", + " return gdf_seismic" + ] + }, + { + "cell_type": "markdown", + "id": "0219a63e", + "metadata": {}, + "source": [ + "## Reprojecting Seismic Data\n", + "\n", + "The seismic data used here can be freely downloaded from NLOG.nl and is provided in the Coordinate References System (CRS) with `EPSG:28992`. To reproject the data, we are using the function `convert_crs_seismic_data(...)`. The output path and the output CRS are defined, optionally, the byte positions for the X and Y coordinates of each CDP and the vertical domain can be defined. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "796e20c6-f719-4608-9603-2332154dc8c7", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "db001bd6faad4998b6837086a708a99f", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0.00/2.70k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    geometry
    0LINESTRING (194105.422 382534.062, 194115.391 ...
    \n", + "" + ], + "text/plain": [ + " geometry\n", + "0 LINESTRING (194105.422 382534.062, 194115.391 ..." + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gdf_linestring = get_cdp_linestring_of_seismic_data(path_in=file_path+'Seismic_EPSG_28992.sgy',\n", + " crs_in='EPSG:28992')\n", + "gdf_linestring" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "9682d223-8247-461e-baec-d1f973d9a5d2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, figsize=(10,10))\n", + "\n", + "gdf_linestring.plot(ax=ax)\n", + "\n", + "ax.set_ylim(380000,384000)\n", + "ax.grid()" + ] + }, + { + "cell_type": "markdown", + "id": "f38397c5-933e-4f0f-9408-876b2421b30f", + "metadata": {}, + "source": [ + "## Extracting the CDP points of the seismic data\n", + "\n", + "The CDP points of the seismic data can be extracted using the function `get_cdp_points_of_seismic_data`. By setting a `filter`, only the n-th point can be selected. A GeoDataFrame containing points will be returned. " + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8e184c39-fe78-494d-99f5-8265263abc9b", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "1c3aa451d36945cc93f36d79a7216b20", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0.00/2.70k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    cdpcdp_xcdp_ygeometry
    01194105.421875382534.06250POINT (194105.422 382534.062)
    250251196602.859375382433.34375POINT (196602.859 382433.344)
    500501199099.406250382333.03125POINT (199099.406 382333.031)
    750751201554.859375381880.46875POINT (201554.859 381880.469)
    10001001204022.796875381520.40625POINT (204022.797 381520.406)
    12501251206520.484375381599.18750POINT (206520.484 381599.188)
    15001501209018.203125381503.37500POINT (209018.203 381503.375)
    17501751211512.828125381340.65625POINT (211512.828 381340.656)
    20002001213993.937500381043.43750POINT (213993.938 381043.438)
    22502251216479.656250380814.06250POINT (216479.656 380814.062)
    25002501218918.343750381326.12500POINT (218918.344 381326.125)
    \n", + "" + ], + "text/plain": [ + " cdp cdp_x cdp_y geometry\n", + "0 1 194105.421875 382534.06250 POINT (194105.422 382534.062)\n", + "250 251 196602.859375 382433.34375 POINT (196602.859 382433.344)\n", + "500 501 199099.406250 382333.03125 POINT (199099.406 382333.031)\n", + "750 751 201554.859375 381880.46875 POINT (201554.859 381880.469)\n", + "1000 1001 204022.796875 381520.40625 POINT (204022.797 381520.406)\n", + "1250 1251 206520.484375 381599.18750 POINT (206520.484 381599.188)\n", + "1500 1501 209018.203125 381503.37500 POINT (209018.203 381503.375)\n", + "1750 1751 211512.828125 381340.65625 POINT (211512.828 381340.656)\n", + "2000 2001 213993.937500 381043.43750 POINT (213993.938 381043.438)\n", + "2250 2251 216479.656250 380814.06250 POINT (216479.656 380814.062)\n", + "2500 2501 218918.343750 381326.12500 POINT (218918.344 381326.125)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gdf_points = get_cdp_points_of_seismic_data(path_in=file_path+'Seismic_EPSG_28992.sgy',\n", + " crs_in='EPSG:28992',\n", + " filter=250)\n", + "gdf_points" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "6a061760-4109-4639-8295-450aa32c18cf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, figsize=(10,10))\n", + "\n", + "for label, x, y in zip(gdf_points['cdp'], gdf_points['cdp_x'], gdf_points['cdp_y']):\n", + " plt.text(x+200,y+200,label)\n", + " \n", + "gdf_points.plot(ax=ax)\n", + "\n", + "ax.set_ylim(380000,384000)\n", + "ax.grid()" + ] + }, + { + "cell_type": "markdown", + "id": "3dac0da3-8a30-4bf6-98fe-8a25d8fce938", + "metadata": {}, + "source": [ + "## Extracting the CDP Points every n-th meter" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6f1def53-97e4-4cea-9b11-333f1b1c7bc0", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "c59ab66ff3c648c2b26f0fedf394aa3c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0.00/2.70k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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    3POINT (206020.565 381595.751)12000
    4POINT (210016.378 381442.716)16000
    \n", + "" + ], + "text/plain": [ + " geometry distance\n", + "0 POINT (194105.422 382534.062) 0\n", + "1 POINT (198102.572 382412.468) 4000\n", + "2 POINT (202044.081 381777.218) 8000\n", + "3 POINT (206020.565 381595.751) 12000\n", + "4 POINT (210016.378 381442.716) 16000" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gdf_points = get_cdp_points_of_seismic_data(path_in=file_path+'Seismic_EPSG_28992.sgy',\n", + " crs_in='EPSG:28992',\n", + " n_meter=4000)\n", + "gdf_points.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a2b2492a-4922-48d7-8c6a-2cd47c0e6a58", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, figsize=(10,10))\n", + "\n", + "for label, x, y in zip(gdf_points['distance'], gdf_points.geometry.x, gdf_points.geometry.y):\n", + " plt.text(x+200,y+200,str(label) + ' m')\n", + " \n", + "gdf_points.plot(ax=ax)\n", + "\n", + "ax.set_ylim(380000,384000)\n", + "ax.grid()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/getting_started/tutorial/index.rst b/docs/getting_started/tutorial/index.rst index 989bdc35..e4fff30d 100644 --- a/docs/getting_started/tutorial/index.rst +++ b/docs/getting_started/tutorial/index.rst @@ -106,4 +106,5 @@ Each set of functions of GemGIS is collected in a different module. The function 65_displaying_seismic_horizons_and_faults 66_generating_voronoi_polygons 67_rotating_gempy_input_data - 68_Creating_Finite_Faults_with_GemGIS \ No newline at end of file + 68_Creating_Finite_Faults_with_GemGIS + 70_Reprojecting_Seismic_Data \ No newline at end of file diff --git a/gemgis/utils.py b/gemgis/utils.py index 768d4d63..7f39e883 100644 --- a/gemgis/utils.py +++ b/gemgis/utils.py @@ -2494,3 +2494,284 @@ def open_mpk(path_in: str): return dict_vector_data, dict_raster_data + +def convert_crs_seismic_data(path_in: str, + path_out: str, + crs_in: Union[str, pyproj.crs.crs.CRS], + crs_out: Union[str, pyproj.crs.crs.CRS], + cdpx: int = 181, + cdpy: int = 185, + vert_domain: str = 'TWT'): + """Convert CDP coordinates of seismic data to a new CRS. + + Parameters + __________ + path_in : str + Path to the original seismic data, e.g. ``path_in='seismic.sgy'``. + path_out : str + Path to the converted seismic data, e.g. ``path_out='seismic_converted.sgy'``. + crs_in : str, pyproj.crs.crs.CRS + Coordinate reference system of the original seismic data. + crs_out : str, pyproj.crs.crs.CRS + Coordinate reference system of the converted seismic data. + cdpx : int + Byte position for the X coordinates, default is ``cdpx=181``. + cdpy : int + Byte position for the Y coordinates, default is ``cdpx=185``. + vert_domain : str + Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``. + + .. versionadded:: 1.1.1 + + """ + # Trying to import segysak but returning error if segysak is not installed + try: + from segysak.segy import segy_loader, segy_writer + except ModuleNotFoundError: + raise ModuleNotFoundError( + 'segysak package is not installed. Use pip install segysak to install the latest version') + + # Checking that path_in is of type string + if not isinstance(path_in, str): + raise TypeError('path_in must be provided as string') + + # Checking that path_out is of type string + if not isinstance(path_out, str): + raise TypeError('path_out must be provided as string') + + # Checking that crs_in is of type string or pyproj CRS + if not isinstance(crs_in, (str, pyproj.crs.crs.CRS)): + raise TypeError('crs_in must be provided as string or pyproj CRS') + + # Checking that crs_out is of type string or pyproj CRS + if not isinstance(crs_out, (str, pyproj.crs.crs.CRS)): + raise TypeError('crs_out must be provided as string or pyproj CRS') + + # Checking that vert_domain is of type str + if not isinstance(vert_domain, str): + raise TypeError('vert_domain must be provided as string') + + # Loading seismic data + seismic = segy_loader(path_in, + vert_domain=vert_domain, + cdpx=cdpx, + cdpy=cdpy) + + # Converting Seismic to DataFrame + df_seismic = seismic.to_dataframe() + + # Checking that the CDP coordinates are in the DataFrame + if not {'cdp_x', 'cdp_y'}.issubset(df_seismic.columns): + raise ValueError( + 'No coordinates found, please provide the byte positions where the X and Y data of the CDPs is stored') + + # Extracting the length of the samples to reduce computing time + samples = len(df_seismic.index.get_level_values(1).unique()) + + # Resample DataFrame + df_seismic_resampled = df_seismic[::samples] + + # Reprojecting Coordinates + df_seismic_reprojected = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=df_seismic_resampled['cdp_x'].values, + y=df_seismic_resampled['cdp_y'].values), + crs=crs_in).to_crs(crs_out) + + # Extracting reprojected coordinates + x = df_seismic_reprojected.geometry.x.values + y = df_seismic_reprojected.geometry.y.values + + # Assigning new coordinates + seismic['cdp_x'][:] = x + seismic['cdp_y'][:] = y + + # Saving reprojected seismic data to file + segy_writer(seismic, + path_out, + trace_header_map=dict(cdp_x=181, + cdp_y=185)) + + print('Seismic data was successfully reprojected and saved to file') + + +def get_cdp_linestring_of_seismic_data(path_in: str, + crs_in: Union[str, pyproj.crs.crs.CRS], + cdpx: int = 181, + cdpy: int = 185, + vert_domain: str = 'TWT'): + """Extracting the path of the seismic data as LineString. + + Parameters + __________ + path_in : str + Path to the original seismic data, e.g. ``path_in='seismic.sgy'``. + crs_in : str, pyproj.crs.crs.CRS + Coordinate reference system of the original seismic data. + cdpx : int + Byte position for the X coordinates, default is ``cdpx=181``. + cdpy : int + Byte position for the Y coordinates, default is ``cdpx=185``. + vert_domain : str + Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``. + + Returns + _______ + gpd.GeoDataFrame + GeoDataFrame containing the surface path of the seismic data as LineString. + + .. versionadded:: 1.1.1 + + """ + # Trying to import segysak but returning error if segysak is not installed + try: + from segysak.segy import segy_loader, segy_writer + except ModuleNotFoundError: + raise ModuleNotFoundError( + 'segysak package is not installed. Use pip install segysak to install the latest version') + + # Checking that path_in is of type string + if not isinstance(path_in, str): + raise TypeError('path_in must be provided as string') + + # Checking that crs_in is of type string or pyproj CRS + if not isinstance(crs_in, (str, pyproj.crs.crs.CRS)): + raise TypeError('crs_in must be provided as string or pyproj CRS') + + # Checking that vert_domain is of type str + if not isinstance(vert_domain, str): + raise TypeError('vert_domain must be provided as string') + + # Loading seismic data + seismic = segy_loader(path_in, + vert_domain=vert_domain, + cdpx=cdpx, + cdpy=cdpy) + + # Converting Seismic to DataFrame + df_seismic = seismic.to_dataframe() + + # Checking that the CDP coordinates are in the DataFrame + if not {'cdp_x', 'cdp_y'}.issubset(df_seismic.columns): + raise ValueError( + 'No coordinates found, please provide the byte positions where the X and Y data of the CDPs is stored') + + # Extracting the length of the samples to reduce computing time + samples = len(df_seismic.index.get_level_values(1).unique()) + + # Resample DataFrame + df_seismic_resampled = df_seismic[::samples] + + # Creating LineString from coordinates + linestring = LineString(np.c_[(df_seismic_resampled['cdp_x'].values, + df_seismic_resampled['cdp_y'].values)]) + + # Reprojecting Coordinates + gdf_seismic = gpd.GeoDataFrame(geometry=[linestring], + crs=crs_in) + + return gdf_seismic + + +def get_cdp_points_of_seismic_data(path_in: str, + crs_in: Union[str, pyproj.crs.crs.CRS], + cdpx: int = 181, + cdpy: int = 185, + vert_domain: str = 'TWT', + filter: int = None, + n_meter: Union[int, float] = None): + """Extracting the path of the seismic data as LineString. + + Parameters + __________ + path_in : str + Path to the original seismic data, e.g. ``path_in='seismic.sgy'``. + crs_in : str, pyproj.crs.crs.CRS + Coordinate reference system of the original seismic data. + cdpx : int + Byte position for the X coordinates, default is ``cdpx=181``. + cdpy : int + Byte position for the Y coordinates, default is ``cdpx=185``. + vert_domain : str + Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``. + filter : int + Filtering the points to only return every n-th point, e.g. ``filter=100`` to return only every 100-th point. + n_meter : int, float + Parameter to select a point along the line every n-th meter. + + Returns + _______ + gpd.GeoDataFrame + GeoDataFrame containing the CDPs as Points. + + .. versionadded:: 1.1.1 + + """ + # Trying to import segysak but returning error if segysak is not installed + try: + from segysak.segy import segy_loader, segy_writer + except ModuleNotFoundError: + raise ModuleNotFoundError( + 'segysak package is not installed. Use pip install segysak to install the latest version') + + # Checking that path_in is of type string + if not isinstance(path_in, str): + raise TypeError('path_in must be provided as string') + + # Checking that crs_in is of type string or pyproj CRS + if not isinstance(crs_in, (str, pyproj.crs.crs.CRS)): + raise TypeError('crs_in must be provided as string or pyproj CRS') + + # Checking that vert_domain is of type str + if not isinstance(vert_domain, str): + raise TypeError('vert_domain must be provided as string') + + # Loading seismic data + seismic = segy_loader(path_in, + vert_domain=vert_domain, + cdpx=cdpx, + cdpy=cdpy) + + # Converting Seismic to DataFrame + df_seismic = seismic.to_dataframe() + + # Checking that the CDP coordinates are in the DataFrame + if not {'cdp_x', 'cdp_y'}.issubset(df_seismic.columns): + raise ValueError( + 'No coordinates found, please provide the byte positions where the X and Y data of the CDPs is stored') + + # Extracting the length of the samples to reduce computing time + samples = len(df_seismic.index.get_level_values(1).unique()) + + # Resample DataFrame + df_seismic_resampled = df_seismic[::samples] + + if n_meter: + + # Creating LineString from coordinates + linestring = LineString(np.c_[(df_seismic_resampled['cdp_x'].values, + df_seismic_resampled['cdp_y'].values)]) + + # Defining number of samples + samples = np.arange(0, round(linestring.length / n_meter) + 1, 1) + + # Getting points every n_meter + points = [shapely.line_interpolate_point(linestring, n_meter * sample) for sample in samples] + + # Creating GeoDataFrame from points + gdf_seismic = gpd.GeoDataFrame(geometry=points, + crs=crs_in) + + # Appending distance + gdf_seismic['distance'] = samples * n_meter + + else: + # Creating Points from coordinates + gdf_seismic = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=df_seismic_resampled['cdp_x'].values, + y=df_seismic_resampled['cdp_y'].values), + data=df_seismic_resampled, + crs=crs_in).reset_index().drop(['twt', 'data'], axis=1) + + # Returning only every nth point + if filter: + gdf_seismic = gdf_seismic[::filter] + + return gdf_seismic From 44937715854ef6a1457171cd1d5fd71a0bb99f19 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 7 Sep 2023 11:18:58 +0200 Subject: [PATCH 24/40] Fix#301 --- gemgis/visualization.py | 29 ++++++++++++++--------------- 1 file changed, 14 insertions(+), 15 deletions(-) diff --git a/gemgis/visualization.py b/gemgis/visualization.py index 965a1d30..5bbf29b0 100644 --- a/gemgis/visualization.py +++ b/gemgis/visualization.py @@ -2313,22 +2313,23 @@ def create_borehole_tubes(df: pd.DataFrame, def create_borehole_labels(df: Union[pd.DataFrame, gpd.geodataframe.GeoDataFrame]) -> pv.core.pointset.PolyData: - """Creating labels for borehole plots + """Create labels for borehole plots. Parameters __________ - df : Union[pd.DataFrame, gpd.geodataframe.GeoDataFrame] - (Geo-)DataFrame containing the borehole data + (Geo-)DataFrame containing the borehole data. Returns _______ - borehole_locations : pv.core.pointset.PolyData - Borehole locations with labels + Borehole locations with labels. .. versionadded:: 1.0.x + .. versionchanged:: 1.1.1 + Fixed a ValueError that was introduced with pandas>2.0.0. + Example _______ @@ -2358,15 +2359,13 @@ def create_borehole_labels(df: Union[pd.DataFrame, gpd.geodataframe.GeoDataFrame See Also ________ - - add_row_to_boreholes : Adding a row to each borehole for later processing - create_lines_from_points : Creating lines from points - create_borehole_tube : Creating borehole tube - create_borehole_tubes : Creating tubes from lines - create_boreholes_3d : Creating PyVista objects for plotting + add_row_to_boreholes : Adding a row to each borehole for later processing. + create_lines_from_points : Creating lines from points. + create_borehole_tube : Creating borehole tube. + create_borehole_tubes : Creating tubes from lines. + create_boreholes_3d : Creating PyVista objects for plotting. """ - # Checking if df is of a pandas DataFrame if not isinstance(df, (pd.DataFrame, gpd.geodataframe.GeoDataFrame)): raise TypeError('Borehole data must be provided as Pandas DataFrame or GeoPandas GeoDataFrame') @@ -2378,17 +2377,17 @@ def create_borehole_labels(df: Union[pd.DataFrame, gpd.geodataframe.GeoDataFrame # Creating array with coordinates from each group (equals to one borehole) coordinates = np.rot90( np.array( - df.groupby(['Index', 'Name'])['X', 'Y', 'Altitude'].apply(lambda x: list(np.unique(x))).values.tolist()), + df.groupby(['Index', 'Name'])[['X', 'Y', 'Altitude']].apply(lambda x: list(np.unique(x))).values.tolist()), 2) # Creating borehole location PyVista PolyData Object borehole_locations = pv.PolyData(coordinates) # Creating borehole_location labels - list_tuples = df.groupby(['Index', 'Name'])['X', 'Y', 'Altitude'].apply( + list_tuples = df.groupby(['Index', 'Name'])[['X', 'Y', 'Altitude']].apply( lambda x: list(np.unique(x))).index.tolist()[::-1] - borehole_locations['Labels'] = [i[1] for i in list_tuples] + borehole_locations['Labels'] = [''.join(char for char in i[1] if ord(char) < 128) for i in list_tuples] return borehole_locations From d86780b131e5a84c85c67e7f2cd4602f656c1bf1 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 7 Sep 2023 13:40:05 +0200 Subject: [PATCH 25/40] EditNotebook --- .../getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb index f69ae074..f0d2ee8e 100644 --- a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb +++ b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb @@ -50,7 +50,7 @@ "outputs": [], "source": [ "file_path ='data/70_reprojecting_seismic_data/'\n", - "# gg.download_gemgis_data.download_tutorial_data(filename=\"68_creating_finite_faults_with_gemgis.zip\", dirpath=file_path)" + "# gg.download_gemgis_data.download_tutorial_data(filename=\"70_reprojecting_seismic_data.zip\", dirpath=file_path)" ] }, { From 0cefd93dfb5b4956e54fdd5598600637b3b0a331 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 7 Sep 2023 13:42:18 +0200 Subject: [PATCH 26/40] EditReadme --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c2b1af06..e9f97d5a 100644 --- a/README.md +++ b/README.md @@ -38,8 +38,8 @@ Furthermore, many [example models](https://gemgis.readthedocs.io/en/latest/getti ## Installation It is recommended to use GemGIS with **python">=3.10"** in a separated environment. The main packages and its dependencies can be installed via the conda-forge channel. GemGIS is then available through PyPi or Conda. -1) `conda install -c conda-forge geopandas">=0.12.2" rasterio">=1.3.4"` -2) `conda install -c conda-forge pyvista">=0.37.0"` +1) `conda install -c conda-forge geopandas">=0.13.2" rasterio">=1.3.8"` +2) `conda install -c conda-forge pyvista">=0.42.1"` 3) `pip install gemgis` / `conda install -c conda-forge gemgis` Check out the [Installation Page](https://gemgis.readthedocs.io/en/latest/getting_started/installation.html) for more detailed instructions. From b0dc9f68f20a6137a4a08b8670924d973822cb4f Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 7 Sep 2023 13:43:37 +0200 Subject: [PATCH 27/40] EditInstallation --- docs/getting_started/installation.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/getting_started/installation.rst b/docs/getting_started/installation.rst index 1780d488..4361157d 100644 --- a/docs/getting_started/installation.rst +++ b/docs/getting_started/installation.rst @@ -1,6 +1,6 @@ .. _installation_ref: -Installation (Tested 2023-01-01) +Installation (Tested 2023-09-01) =========================================================== GemGIS is supported on Python version 3.10. Previous versions are officially not supported. @@ -96,15 +96,15 @@ Installing GemGIS's dependencies manually Two of the main packages that GemGIS is dependent on are `rasterio `_ and `GeoPandas `_. It is recommended to install these packages separately as they both depend on the `GDAL `_ translator library for raster and vector geospatial data. In addition, many smaller libraries like shaply or fiona will also be installed properly. -Install the latest versions of GeoPandas and Rasterio (as of 2023-01-01). Please mind the quotation marks that are necessary when specifying the version numbers.:: +Install the latest versions of GeoPandas and Rasterio (as of 2023-09-01). Please mind the quotation marks that are necessary when specifying the version numbers.:: - conda install -c conda-forge geopandas">=0.12.2" rasterio">=1.3.4" + conda install -c conda-forge geopandas">=0.13.2" rasterio">=1.3.8" .. image:: images/cmd6.png In order to visualize and work with meshes, the `PyVista `_ package is being installed:: - conda install -c conda-forge pyvista">=0.37.0" + conda install -c conda-forge pyvista">=0.42." Installing GemGIS via PyPi From 1864a8a5f049a6ebdcd8938f33c41710a29d24d6 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Wed, 13 Sep 2023 14:15:35 +0200 Subject: [PATCH 28/40] AddReadRasterFromGDB --- .../71_Opening_Rasters_From_OpenFileGDB.ipynb | 113 ++++++++++++++++++ docs/getting_started/tutorial/index.rst | 3 +- gemgis/raster.py | 71 +++++++++++ 3 files changed, 186 insertions(+), 1 deletion(-) create mode 100644 docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb diff --git a/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb b/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb new file mode 100644 index 00000000..475be37e --- /dev/null +++ b/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb @@ -0,0 +1,113 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "86f44ca3", + "metadata": {}, + "source": [ + "# 71 Opening Rasters from OpenFileGDB\n", + "\n", + "This notebook illustrates how to open rasters that are stored in OpenFileGDBs. Currently, QGIS can open rasters from OpenFileGDBs since version 3.32. GeoPandas and the underlying fiona package are capable of opening vector files from OpenFileGDBs. It is not planned to support raster files (https://github.com/geopandas/geopandas/issues/2793). It is not planned to implement that feature into rasterio either (https://github.com/rasterio/rasterio/discussions/2914). Therefore, the decision was made to implement the functionality to open rasters from OpenFileGDBs directly using the `gdal` package. " + ] + }, + { + "cell_type": "markdown", + "id": "e7147456", + "metadata": {}, + "source": [ + "## Set File Paths and download Tutorial Data\n", + "\n", + "If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "eb8af06a", + "metadata": {}, + "outputs": [], + "source": [ + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "import gemgis as gg" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a4128de8", + "metadata": {}, + "outputs": [], + "source": [ + "file_path ='data/71_Opening_Rasters_From_OpenFileGDB/'" + ] + }, + { + "cell_type": "markdown", + "id": "fb73e2b2-98ab-472d-bb33-e12d82240790", + "metadata": {}, + "source": [ + "## Opening OpenFileGDB\n", + "\n", + "The OpenFileGDB can be opened using the GemGIS function `gg.raster.read_raster_gdb(...)`. It will automatically save all included rasters to file. If there is no projection included in the OpenFileGDB, a `crs` must be provided manually." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "fdbd8040-ba16-4047-881d-59358d2289c8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RasterCenoman_Turon_top.tif successfully saved to file\n", + "RasterCenoman_Turon_m.tif successfully saved to file\n", + "RasterDevon_MK_m.tif successfully saved to file\n", + "RasterDevon_MK_top.tif successfully saved to file\n", + "RasterUKarb_m.tif successfully saved to file\n", + "RasterUKarb_top.tif successfully saved to file\n", + "RasterDGM.tif successfully saved to file\n" + ] + } + ], + "source": [ + "gg.raster.read_raster_gdb(file_path + 'OpenFileGDB.gdb', \n", + " crs='EPSG:25832')" + ] + }, + { + "cell_type": "markdown", + "id": "1d9f4836-6af6-40e6-a882-c6f63d0321e0", + "metadata": {}, + "source": [ + "## Opening Rasters using Rasterio\n", + "\n", + "The downloaded rasters can be opened using the rasterio package as any other raster. " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/getting_started/tutorial/index.rst b/docs/getting_started/tutorial/index.rst index e4fff30d..8fc52e08 100644 --- a/docs/getting_started/tutorial/index.rst +++ b/docs/getting_started/tutorial/index.rst @@ -107,4 +107,5 @@ Each set of functions of GemGIS is collected in a different module. The function 66_generating_voronoi_polygons 67_rotating_gempy_input_data 68_Creating_Finite_Faults_with_GemGIS - 70_Reprojecting_Seismic_Data \ No newline at end of file + 70_Reprojecting_Seismic_Data + 71_Opening_Rasters_From_OpenFileGDB \ No newline at end of file diff --git a/gemgis/raster.py b/gemgis/raster.py index f73b6c82..44c564a1 100644 --- a/gemgis/raster.py +++ b/gemgis/raster.py @@ -2711,3 +2711,74 @@ def extract_contour_lines_from_raster(raster: Union[rasterio.io.DatasetReader, n gdf_lines['Z'] = values return gdf_lines + + +def read_raster_gdb(path: str, + crs: Union[str, + pyproj.crs.crs.CRS, + rasterio.crs.CRS] = None): + """Read Raster from OpenFileGDB. + + Parameters + __________ + path : str + Path to the OpenFileGDB. + crs : str, pyproj.crs.crs.CRS, rasterio.crs.CRS + Coordinate Reference System of the dataset. + + .. versionadded:: 1.1.1 + + """ + # Trying to import osgeo but returning error if tqdm is not installed + try: + from osgeo import gdal, osr + except ModuleNotFoundError: + raise ModuleNotFoundError('osgeo package is not installed') + + # Checking that the path is of type string + if not isinstance(path, str): + raise TypeError('Path to the OpenFileGDB must be provided as string') + + # Opening Database + ds = gdal.Open(path) + + # Getting the length of the subsets + len_subdatasets = len(ds.GetSubDatasets()) + + # Performing workflow for every dataset + for i in range(len_subdatasets): + # Getting the name of the layer + layer = ds.GetSubDatasets()[i][0] + # Opening the raster layer + dataset = gdal.Open(layer) + # Getting the first raster band + raster_band = dataset.GetRasterBand(1) + # Getting raster values as array + raster = raster_band.ReadAsArray() + + # Creating CRS from projection or manually + if dataset.GetProjection(): + proj = osr.SpatialReference(wkt=dataset.GetProjection()) + epsg = proj.GetAttrValue('AUTHORITY', 1) + crs = 'EPSG:' + epsg + else: + if not crs: + raise ValueError( + 'Raster does not have a projection, please provide a valid coordinate reference system') + + # Saving raster to file + with rasterio.open( + ds.GetSubDatasets()[i][1].replace(' ', '') + '.tif', + 'w', + driver='GTiff', + height=raster.shape[0], + width=raster.shape[1], + count=1, + dtype=raster.dtype, + crs=crs, + transform=affine.Affine.from_gdal(*dataset.GetGeoTransform()), + nodata=raster_band.GetNoDataValue() + ) as dst: + dst.write(raster, 1) + + print(ds.GetSubDatasets()[i][1].replace(' ', '') + '.tif successfully saved to file') \ No newline at end of file From 62b60a09038133a86508378ec3bb998add0e98e0 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Wed, 13 Sep 2023 16:58:18 +0200 Subject: [PATCH 29/40] FixCoordScalarIssue --- .../70_Reprojecting_Seismic_Data.ipynb | 507 +++++++++++++++++- gemgis/utils.py | 13 +- 2 files changed, 496 insertions(+), 24 deletions(-) diff --git a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb index f0d2ee8e..87e19933 100644 --- a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb +++ b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb @@ -76,7 +76,8 @@ " crs_out: Union[str, pyproj.crs.crs.CRS],\n", " cdpx: int = 181,\n", " cdpy: int = 185,\n", - " vert_domain: str = 'TWT'):\n", + " vert_domain: str = 'TWT',\n", + " coord_scalar: int = None):\n", " \"\"\"Convert CDP coordinates of seismic data to a new CRS.\n", "\n", " Parameters\n", @@ -95,6 +96,8 @@ " Byte position for the Y coordinates, default is ``cdpx=185``.\n", " vert_domain : str\n", " Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``.\n", + " coord_scalar: int\n", + " Coordinate scalar value to set if `NaN` columns are returned, default is `coord_scalar=None`. \n", "\n", " .. versionadded:: 1.1.1\n", "\n", @@ -126,6 +129,10 @@ " if not isinstance(vert_domain, str):\n", " raise TypeError('vert_domain must be provided as string')\n", "\n", + " # Checking that the coord_scalar is of type int or None\n", + " if not isinstance(coord_scalar, (int, type(None))):\n", + " raise TypeError('coord_scalar must be provided as int') \n", + "\n", " # Loading seismic data\n", " seismic = segy_loader(path_in,\n", " vert_domain=vert_domain,\n", @@ -159,6 +166,10 @@ " seismic['cdp_x'][:] = x\n", " seismic['cdp_y'][:] = y\n", "\n", + " # Optionally setting a new coord_scalar\n", + " if coord_scalar:\n", + " seismic.attrs['coord_scalar'] = coord_scalar\n", + "\n", " # Saving reprojected seismic data to file\n", " segy_writer(seismic,\n", " path_out,\n", @@ -271,7 +282,7 @@ " Filtering the points to only return every n-th point, e.g. ``filter=100`` to return only every 100-th point.\n", " n_meter : int, float\n", " Parameter to select a point along the line every n-th meter.\n", - " \n", + "\n", " Returns\n", " _______\n", " gpd.GeoDataFrame\n", @@ -326,17 +337,17 @@ " df_seismic_resampled['cdp_y'].values)])\n", "\n", " # Defining number of samples\n", - " samples = np.arange(0, round(linestring.length/n_meter)+1, 1)\n", + " samples = np.arange(0, round(linestring.length / n_meter) + 1, 1)\n", "\n", " # Getting points every n_meter\n", - " points = [shapely.line_interpolate_point(linestring, n_meter*sample) for sample in samples]\n", + " points = [shapely.line_interpolate_point(linestring, n_meter * sample) for sample in samples]\n", "\n", " # Creating GeoDataFrame from points\n", " gdf_seismic = gpd.GeoDataFrame(geometry=points,\n", " crs=crs_in)\n", "\n", " # Appending distance\n", - " gdf_seismic['distance'] = samples*n_meter\n", + " gdf_seismic['distance'] = samples * n_meter\n", "\n", " else:\n", " # Creating Points from coordinates\n", @@ -344,7 +355,7 @@ " y=df_seismic_resampled['cdp_y'].values),\n", " data=df_seismic_resampled,\n", " crs=crs_in).reset_index().drop(['twt', 'data'], axis=1)\n", - " \n", + "\n", " # Returning only every nth point\n", " if filter:\n", " gdf_seismic = gdf_seismic[::filter]\n", @@ -371,7 +382,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "db001bd6faad4998b6837086a708a99f", + "model_id": "eaf62a249e07494dac0ccdebc1bfbe2e", "version_major": 2, "version_minor": 0 }, @@ -392,7 +403,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "214bb915aaa64811b39022c199e098ce", + "model_id": "8108c5a50ae44a8aa9ae7568d7181067", "version_major": 2, "version_minor": 0 }, @@ -421,6 +432,456 @@ " vert_domain = 'TWT')" ] }, + { + "cell_type": "markdown", + "id": "af08bf20-85ce-4bf9-84db-f6534d1b0409", + "metadata": {}, + "source": [ + "## Accounting for coordinate scalar errors\n", + "\n", + "It may happen that columns are filled with `NaN` values. The problem is not so much the Python side but the SEGY side. For a more detailed description, see https://github.com/trhallam/segysak/issues/109#issuecomment-1717610828. The error can be mitigated by providing a `coord_scalar` value. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "becbad18-36c9-44ee-b2f0-b7a6854effc9", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "5b266b939dec452ea31b3357c4d1dcad", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0.00/2.70k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    datacdp_xcdp_y
    cdptwt
    10.00.0287958.90625NaN
    2.00.0287958.90625NaN
    4.00.0287958.90625NaN
    6.00.0287958.90625NaN
    8.00.0287958.90625NaN
    ...............
    27025092.00.0314511.46875NaN
    5094.00.0314511.46875NaN
    5096.00.0314511.46875NaN
    5098.00.0314511.46875NaN
    5100.00.0314511.46875NaN
    \n", + "

    6892802 rows × 3 columns

    \n", + "" + ], + "text/plain": [ + " data cdp_x cdp_y\n", + "cdp twt \n", + "1 0.0 0.0 287958.90625 NaN\n", + " 2.0 0.0 287958.90625 NaN\n", + " 4.0 0.0 287958.90625 NaN\n", + " 6.0 0.0 287958.90625 NaN\n", + " 8.0 0.0 287958.90625 NaN\n", + "... ... ... ...\n", + "2702 5092.0 0.0 314511.46875 NaN\n", + " 5094.0 0.0 314511.46875 NaN\n", + " 5096.0 0.0 314511.46875 NaN\n", + " 5098.0 0.0 314511.46875 NaN\n", + " 5100.0 0.0 314511.46875 NaN\n", + "\n", + "[6892802 rows x 3 columns]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from segysak.segy import segy_loader\n", + "seismic = segy_loader(file_path+'Seismic_EPSG_25832.sgy',\n", + " cdpx = 181,\n", + " cdpy = 185,\n", + " vert_domain = 'TWT')\n", + "\n", + "# Converting Seismic to DataFrame\n", + "df_seismic = seismic.to_dataframe()\n", + "df_seismic" + ] + }, + { + "cell_type": "markdown", + "id": "40823604-8693-454d-a8e1-b10be1bf13a1", + "metadata": {}, + "source": [ + "## Reprojecting Seismic Data - again\n", + "\n", + "As you can see, reprojecting the seismic data again using a `coord_scalar` will add the correct coordinates to the segy file." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "b5e429db-ac79-4cb6-b1ef-a4ab897639c8", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "9525b0bcea8d40e9a1c0ec5b66b5f070", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0.00/2.70k [00:00\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    datacdp_xcdp_y
    cdptwt
    10.00.0287958.87505702121.5
    2.00.0287958.87505702121.5
    4.00.0287958.87505702121.5
    6.00.0287958.87505702121.5
    8.00.0287958.87505702121.5
    ...............
    27025092.00.0314511.43755700494.0
    5094.00.0314511.43755700494.0
    5096.00.0314511.43755700494.0
    5098.00.0314511.43755700494.0
    5100.00.0314511.43755700494.0
    \n", + "

    6892802 rows × 3 columns

    \n", + "" + ], + "text/plain": [ + " data cdp_x cdp_y\n", + "cdp twt \n", + "1 0.0 0.0 287958.8750 5702121.5\n", + " 2.0 0.0 287958.8750 5702121.5\n", + " 4.0 0.0 287958.8750 5702121.5\n", + " 6.0 0.0 287958.8750 5702121.5\n", + " 8.0 0.0 287958.8750 5702121.5\n", + "... ... ... ...\n", + "2702 5092.0 0.0 314511.4375 5700494.0\n", + " 5094.0 0.0 314511.4375 5700494.0\n", + " 5096.0 0.0 314511.4375 5700494.0\n", + " 5098.0 0.0 314511.4375 5700494.0\n", + " 5100.0 0.0 314511.4375 5700494.0\n", + "\n", + "[6892802 rows x 3 columns]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from segysak.segy import segy_loader\n", + "seismic = segy_loader(file_path+'Seismic_EPSG_25832.sgy',\n", + " cdpx = 181,\n", + " cdpy = 185,\n", + " vert_domain = 'TWT')\n", + "\n", + "# Converting Seismic to DataFrame\n", + "df_seismic = seismic.to_dataframe()\n", + "df_seismic" + ] + }, { "cell_type": "markdown", "id": "b4fd8504-2276-49c9-a2ab-44b1aa80307b", @@ -433,14 +894,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "id": "3d5858f1-12f9-4fc6-a6e9-aad58cd139dd", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "85991bbd0e184d4689c0d7b387a0069f", + "model_id": "87bdfa05e36a41aea7244b733ac11a0a", "version_major": 2, "version_minor": 0 }, @@ -461,7 +922,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3d27deeb3c334124b4f497576d9cde90", + "model_id": "99c73308e4cb4776b9af9f65d5027b97", "version_major": 2, "version_minor": 0 }, @@ -510,7 +971,7 @@ "0 LINESTRING (194105.422 382534.062, 194115.391 ..." ] }, - "execution_count": 5, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -523,7 +984,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "9682d223-8247-461e-baec-d1f973d9a5d2", "metadata": {}, "outputs": [ @@ -559,14 +1020,14 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 10, "id": "8e184c39-fe78-494d-99f5-8265263abc9b", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1c3aa451d36945cc93f36d79a7216b20", + "model_id": "99c19fb9715c4ccca72db5c01d305166", "version_major": 2, "version_minor": 0 }, @@ -587,7 +1048,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "206a21c6641a4737a1728de4ff9ba3a7", + "model_id": "ee840432bbc84eb3a8e26ce960a73a53", "version_major": 2, "version_minor": 0 }, @@ -722,7 +1183,7 @@ "2500 2501 218918.343750 381326.12500 POINT (218918.344 381326.125)" ] }, - "execution_count": 17, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -736,7 +1197,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 11, "id": "6a061760-4109-4639-8295-450aa32c18cf", "metadata": {}, "outputs": [ @@ -773,14 +1234,14 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "id": "6f1def53-97e4-4cea-9b11-333f1b1c7bc0", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "c59ab66ff3c648c2b26f0fedf394aa3c", + "model_id": "7cb57e96f5d241049e0465654f8580f6", "version_major": 2, "version_minor": 0 }, @@ -801,7 +1262,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b90a30d405a7402b82d651bf3e69dc18", + "model_id": "3a78bb677dc84d098e2423f37e27efd3", "version_major": 2, "version_minor": 0 }, @@ -876,7 +1337,7 @@ "4 POINT (210016.378 381442.716) 16000" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -890,7 +1351,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "id": "a2b2492a-4922-48d7-8c6a-2cd47c0e6a58", "metadata": {}, "outputs": [ diff --git a/gemgis/utils.py b/gemgis/utils.py index 7f39e883..a5a3c4cb 100644 --- a/gemgis/utils.py +++ b/gemgis/utils.py @@ -2501,7 +2501,8 @@ def convert_crs_seismic_data(path_in: str, crs_out: Union[str, pyproj.crs.crs.CRS], cdpx: int = 181, cdpy: int = 185, - vert_domain: str = 'TWT'): + vert_domain: str = 'TWT', + coord_scalar: int = None): """Convert CDP coordinates of seismic data to a new CRS. Parameters @@ -2520,6 +2521,8 @@ def convert_crs_seismic_data(path_in: str, Byte position for the Y coordinates, default is ``cdpx=185``. vert_domain : str Vertical sampling domain. Options include ``'TWT'`` and ``'DEPTH'``, default is ``vert_domain='TWT'``. + coord_scalar: int + Coordinate scalar value to set if `NaN` columns are returned, default is `coord_scalar=None`. .. versionadded:: 1.1.1 @@ -2551,6 +2554,10 @@ def convert_crs_seismic_data(path_in: str, if not isinstance(vert_domain, str): raise TypeError('vert_domain must be provided as string') + # Checking that the coord_scalar is of type int or None + if not isinstance(coord_scalar, (int, type(None))): + raise TypeError('coord_scalar must be provided as int') + # Loading seismic data seismic = segy_loader(path_in, vert_domain=vert_domain, @@ -2584,6 +2591,10 @@ def convert_crs_seismic_data(path_in: str, seismic['cdp_x'][:] = x seismic['cdp_y'][:] = y + # Optionally setting a new coord_scalar + if coord_scalar: + seismic.attrs['coord_scalar'] = coord_scalar + # Saving reprojected seismic data to file segy_writer(seismic, path_out, From f8da39faf5d33c05f2c73ab7fd56311db0cb4fbf Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 15 Sep 2023 12:29:41 +0200 Subject: [PATCH 30/40] Editpyprojecttoml --- project.toml => pyproject.toml | 17 +++++++++++------ 1 file changed, 11 insertions(+), 6 deletions(-) rename project.toml => pyproject.toml (78%) diff --git a/project.toml b/pyproject.toml similarity index 78% rename from project.toml rename to pyproject.toml index 4978be33..55a526fe 100644 --- a/project.toml +++ b/pyproject.toml @@ -5,12 +5,17 @@ build-backend = "setuptools.build_meta" [project] name = "GemGIS" -authors = [ + +maintainers = [ {name = "Alexander Jüstel", email = "alexander.juestel@rwth-aachen.de"}, + {name = "Arthur Endlein Correia"}, + {name = "Marius Pischke"}, + {name = "Florian Wellmann"}, ] + description = "Spatial data processing for geomodeling" -keywords = ["visualization", "python", "processing", "jupyter", "modeling", "geospatial", "jupyter-notebook", - "geographic-data", "spatial-data", "notebooks", "raster-data", "vector-data", "geographic", "geomodeling"] +keywords = ["dataprocessing", "modeling", "geospatial", "geographic-data", "spatial-data", "rasterdata", "vectordata", + "geographic", "geomodeling"] readme = "README.md" license = {file = LICENSE} dynamic = ["Version"] @@ -27,9 +32,9 @@ classifiers = [ 'Operating System :: OS Independent', ] dependencies = [ - "geopandas", - "rasterio", - "pyvista", + geopandas, + rasterio, + pyvista, ] [project.urls] Documentation = 'https://gemgis.readthedocs.io/' From ab2f469fcfecbb1db009ae5d7ca9c20a63fc7bf7 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Fri, 15 Sep 2023 12:33:47 +0200 Subject: [PATCH 31/40] EditSetup --- gemgis/__init__.py | 4 ++++ pyproject.toml | 10 ++++++++++ 2 files changed, 14 insertions(+) diff --git a/gemgis/__init__.py b/gemgis/__init__.py index 7b1e3232..738f6a59 100644 --- a/gemgis/__init__.py +++ b/gemgis/__init__.py @@ -27,6 +27,10 @@ """ +try: + from ._version_generated import __version__ +except ImportError: + __version__ = "unreleased" from gemgis.gemgis import * import gemgis.vector as vector diff --git a/pyproject.toml b/pyproject.toml index 55a526fe..07f25e1a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -43,3 +43,13 @@ Home = 'https://gemgis.readthedocs.io/' Repository = 'https://github.com/cgre-aachen/gemgis' "Source Code" = 'https://github.com/cgre-aachen/gemgis' +[tool.setuptools_scm] +# Make sure setuptools uses version based on the last created tag +version_scheme = "post-release" +# Make sure scm doesn't use local scheme version for push to pypi +# (so there isn't a + in the version) +local_scheme = "no-local-version" +# This _version_generated.py file is a file that you'll never want to add to version control - so you'll want to add it to your gitignore file. but when you build your package, setuptools_Scm creates it. and it contains version information that you will pull into your package below. +write_to = "gemgis/_version_generated.py" +write_to_template = '__version__ = "v{version}"' + From 24294d2708a1ae2cabde28792f6fd4191eb8a6cb Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 19 Sep 2023 08:23:55 +0200 Subject: [PATCH 32/40] ExpandTutorial70 --- .../70_Reprojecting_Seismic_Data.ipynb | 274 ++++++++++++++++-- 1 file changed, 251 insertions(+), 23 deletions(-) diff --git a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb index 87e19933..094610f4 100644 --- a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb +++ b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb @@ -382,7 +382,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "eaf62a249e07494dac0ccdebc1bfbe2e", + "model_id": "65054929a8e5452da0fbbc679d0bdee9", "version_major": 2, "version_minor": 0 }, @@ -403,7 +403,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8108c5a50ae44a8aa9ae7568d7181067", + "model_id": "01489a2b61a84ee381c31b4a3f44bda0", "version_major": 2, "version_minor": 0 }, @@ -451,7 +451,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5b266b939dec452ea31b3357c4d1dcad", + "model_id": "3cbc9801b9534b0f89f12fdf7e440d50", "version_major": 2, "version_minor": 0 }, @@ -472,7 +472,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "02e898e17bb74867aa546a2392e84d81", + "model_id": "28aeb2920da54de9a6412e8e901e8dbb", "version_major": 2, "version_minor": 0 }, @@ -646,7 +646,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9525b0bcea8d40e9a1c0ec5b66b5f070", + "model_id": "38aa7ddcb5144222923d798ab5c75337", "version_major": 2, "version_minor": 0 }, @@ -667,7 +667,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9cfb97ff36b04b5db73b9ee469ea5bf9", + "model_id": "d1221f8fd0534c04b7ed26ee65ec086d", "version_major": 2, "version_minor": 0 }, @@ -706,7 +706,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - 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    datacdp_xcdp_y
    cdptwt
    10.00.0194105.421875382534.0625
    2.00.0194105.421875382534.0625
    4.00.0194105.421875382534.0625
    6.00.0194105.421875382534.0625
    8.00.0194105.421875382534.0625
    ...............
    27025092.00.0220702.828125382218.6250
    5094.00.0220702.828125382218.6250
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    5100.00.0220702.828125382218.6250
    \n", + "

    6892802 rows × 3 columns

    \n", + "" + ], + "text/plain": [ + " data cdp_x cdp_y\n", + "cdp twt \n", + "1 0.0 0.0 194105.421875 382534.0625\n", + " 2.0 0.0 194105.421875 382534.0625\n", + " 4.0 0.0 194105.421875 382534.0625\n", + " 6.0 0.0 194105.421875 382534.0625\n", + " 8.0 0.0 194105.421875 382534.0625\n", + "... ... ... ...\n", + "2702 5092.0 0.0 220702.828125 382218.6250\n", + " 5094.0 0.0 220702.828125 382218.6250\n", + " 5096.0 0.0 220702.828125 382218.6250\n", + " 5098.0 0.0 220702.828125 382218.6250\n", + " 5100.0 0.0 220702.828125 382218.6250\n", + "\n", + "[6892802 rows x 3 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "seismic_old = segy_loader(file_path+'Seismic_EPSG_28992.sgy',\n", + " vert_domain='TWT',\n", + " cdpx=181,\n", + " cdpy=185)\n", + "# Converting Seismic to DataFrame\n", + "df_seismic_old = seismic_old.to_dataframe()\n", + "df_seismic_old" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "8c0415c6-d123-4686-a48e-eb5bb087a3d0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(2, figsize = (10,4))\n", + "\n", + "ax[0].plot(df_seismic_old[::2551]['cdp_x'], df_seismic_old[::2551]['cdp_y'])\n", + "ax[0].grid()\n", + "\n", + "ax[0].set_xlim(min(df_seismic_old[::2551]['cdp_x'])-100, max(df_seismic_old[::2551]['cdp_x'])+100) \n", + "ax[0].set_ylim(min(df_seismic_old[::2551]['cdp_y'])-100, max(df_seismic_old[::2551]['cdp_y'])+100) \n", + "ax[0].set_title('EPSG:28992')\n", + "\n", + "ax[1].plot(df_seismic[::2551]['cdp_x'], df_seismic[::2551]['cdp_y'])\n", + "ax[1].grid()\n", + "\n", + "ax[1].set_xlim(min(df_seismic[::2551]['cdp_x'])-100, max(df_seismic[::2551]['cdp_x'])+100) \n", + "ax[1].set_ylim(min(df_seismic[::2551]['cdp_y'])-100, max(df_seismic[::2551]['cdp_y'])+100) \n", + "ax[1].set_title('EPSG:25832')\n", + "\n", + "plt.tight_layout()" + ] + }, { "cell_type": "markdown", "id": "b4fd8504-2276-49c9-a2ab-44b1aa80307b", @@ -894,14 +1122,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "3d5858f1-12f9-4fc6-a6e9-aad58cd139dd", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "87bdfa05e36a41aea7244b733ac11a0a", + "model_id": "a88cb38217fe419283910ef2c3d03818", "version_major": 2, "version_minor": 0 }, @@ -922,7 +1150,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "99c73308e4cb4776b9af9f65d5027b97", + "model_id": "107abc28f9cd43269c2383c33c4f7a23", "version_major": 2, "version_minor": 0 }, @@ -971,7 +1199,7 @@ "0 LINESTRING (194105.422 382534.062, 194115.391 ..." ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -984,7 +1212,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "9682d223-8247-461e-baec-d1f973d9a5d2", "metadata": {}, "outputs": [ @@ -1020,14 +1248,14 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "id": "8e184c39-fe78-494d-99f5-8265263abc9b", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "99c19fb9715c4ccca72db5c01d305166", + "model_id": "acf0478ec18643d499eebf8994177080", "version_major": 2, "version_minor": 0 }, @@ -1048,7 +1276,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ee840432bbc84eb3a8e26ce960a73a53", + "model_id": "6effa719b09f4069ad0a7d6f7005e4df", "version_major": 2, "version_minor": 0 }, @@ -1183,7 +1411,7 @@ "2500 2501 218918.343750 381326.12500 POINT (218918.344 381326.125)" ] }, - "execution_count": 10, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -1197,7 +1425,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "id": "6a061760-4109-4639-8295-450aa32c18cf", "metadata": {}, "outputs": [ @@ -1234,14 +1462,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "id": "6f1def53-97e4-4cea-9b11-333f1b1c7bc0", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7cb57e96f5d241049e0465654f8580f6", + "model_id": "2413eae6ff9b4f2796798a6be8e90d3e", "version_major": 2, "version_minor": 0 }, @@ -1262,7 +1490,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3a78bb677dc84d098e2423f37e27efd3", + "model_id": "94507823b9ca4597a15f970ee1746a90", "version_major": 2, "version_minor": 0 }, @@ -1337,7 +1565,7 @@ "4 POINT (210016.378 381442.716) 16000" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -1351,7 +1579,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "id": "a2b2492a-4922-48d7-8c6a-2cd47c0e6a58", "metadata": {}, "outputs": [ From 6f14e2fdf7923cb845753ba3326070d5250e2868 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 19 Sep 2023 08:27:08 +0200 Subject: [PATCH 33/40] AddDescriptions --- .../tutorial/70_Reprojecting_Seismic_Data.ipynb | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb index 094610f4..0a7ba7e4 100644 --- a/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb +++ b/docs/getting_started/tutorial/70_Reprojecting_Seismic_Data.ipynb @@ -887,7 +887,9 @@ "id": "797a8a28-c05e-409b-9c4e-983e779651f3", "metadata": {}, "source": [ - "## Plotting the results" + "## Plotting the results\n", + "\n", + "We are now plotting the surface trace of both seismic lines to illustrate the change in coordinates." ] }, { @@ -1457,7 +1459,8 @@ "id": "3dac0da3-8a30-4bf6-98fe-8a25d8fce938", "metadata": {}, "source": [ - "## Extracting the CDP Points every n-th meter" + "## Extracting the CDP Points every n-th meter\n", + "A point every n-th meter along the seismic data can be extracted using the function `get_cdp_points_of_seismic_data`. By setting a value for the parameter `n_meter`, points only every n-th will be returned. A GeoDataFrame containing points will be returned. Be aware that these may not be the CDP points!" ] }, { From 8d33d7743adb741b45ec8bb3000c940467b52531 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 19 Sep 2023 08:42:58 +0200 Subject: [PATCH 34/40] ExpandTutorial71 --- .../71_Opening_Rasters_From_OpenFileGDB.ipynb | 57 +++++++++++++++++-- 1 file changed, 51 insertions(+), 6 deletions(-) diff --git a/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb b/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb index 475be37e..255e4394 100644 --- a/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb +++ b/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb @@ -29,13 +29,14 @@ "source": [ "import warnings\n", "warnings.filterwarnings(\"ignore\")\n", - "\n", + "import rasterio\n", + "from rasterio.plot import show\n", "import gemgis as gg" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "a4128de8", "metadata": {}, "outputs": [], @@ -55,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "fdbd8040-ba16-4047-881d-59358d2289c8", "metadata": {}, "outputs": [ @@ -74,8 +75,9 @@ } ], "source": [ - "gg.raster.read_raster_gdb(file_path + 'OpenFileGDB.gdb', \n", - " crs='EPSG:25832')" + "gemgis.raster.read_raster_gdb(path=file_path + 'OpenFileGDB.gdb', \n", + " crs='EPSG:25832',\n", + " path_out=file_path)" ] }, { @@ -85,7 +87,50 @@ "source": [ "## Opening Rasters using Rasterio\n", "\n", - "The downloaded rasters can be opened using the rasterio package as any other raster. " + "The downloaded rasters can be opened and displayed using the rasterio package as any other raster. " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3a447e9d-2ac6-4cc1-bafc-faa2ac4c3461", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dem = rasterio.open(file_path + 'RasterDGM.tif')\n", + "dem" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "94b6657d-16d6-4e86-a3c6-d8f70cedda1f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show(dem);" ] } ], From e4fe73e7be1b3e80645b5031e5d940d23d3fda11 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 23 Sep 2023 16:01:31 +0200 Subject: [PATCH 35/40] PrepareRelease --- docs/conf.py | 2 +- gemgis/__init__.py | 4 ++-- setup.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/conf.py b/docs/conf.py index 2d643f5e..c6f7c9cc 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -17,7 +17,7 @@ author = 'Alexander Juestel' # The full version, including alpha/beta/rc tags -release = '1.1.0' +release = '1.1.1' version = release # -- GemGIS configuration --------------------------------------------------- diff --git a/gemgis/__init__.py b/gemgis/__init__.py index 738f6a59..33477fcb 100644 --- a/gemgis/__init__.py +++ b/gemgis/__init__.py @@ -18,9 +18,9 @@ __affiliations__ = 'CGRE - RWTH Aachen University' -__version_date__ = '2023-08-18' +__version_date__ = '2023-09-23' -__version__ = '1.1.0' +__version__ = '1.1.1' __changelog__ = """What is new in version 1.1.0: diff --git a/setup.py b/setup.py index 8e823e33..380e1b7a 100644 --- a/setup.py +++ b/setup.py @@ -1,7 +1,7 @@ from setuptools import setup, find_packages from os import path -version = '1.1.0' +version = '1.1.1' # Loading Readme for Description on PyPi this_directory = path.abspath(path.dirname(__file__)) From 6bb8ed574b427f057ee4a4e67d07c2857cfc96b5 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 23 Sep 2023 16:30:41 +0200 Subject: [PATCH 36/40] EditTutorial71 --- .../images/tutorial71_cover.png | Bin 0 -> 404825 bytes .../71_Opening_Rasters_From_OpenFileGDB.ipynb | 4 +++- 2 files changed, 3 insertions(+), 1 deletion(-) create mode 100644 docs/getting_started/images/tutorial71_cover.png diff --git a/docs/getting_started/images/tutorial71_cover.png b/docs/getting_started/images/tutorial71_cover.png new file mode 100644 index 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b/docs/getting_started/tutorial/71_Opening_Rasters_From_OpenFileGDB.ipynb @@ -7,7 +7,9 @@ "source": [ "# 71 Opening Rasters from OpenFileGDB\n", "\n", - "This notebook illustrates how to open rasters that are stored in OpenFileGDBs. Currently, QGIS can open rasters from OpenFileGDBs since version 3.32. GeoPandas and the underlying fiona package are capable of opening vector files from OpenFileGDBs. It is not planned to support raster files (https://github.com/geopandas/geopandas/issues/2793). It is not planned to implement that feature into rasterio either (https://github.com/rasterio/rasterio/discussions/2914). Therefore, the decision was made to implement the functionality to open rasters from OpenFileGDBs directly using the `gdal` package. " + "This notebook illustrates how to open rasters that are stored in OpenFileGDBs. Currently, QGIS can open rasters from OpenFileGDBs since version 3.32. GeoPandas and the underlying fiona package are capable of opening vector files from OpenFileGDBs. It is not planned to support raster files (https://github.com/geopandas/geopandas/issues/2793). It is not planned to implement that feature into rasterio either (https://github.com/rasterio/rasterio/discussions/2914). Therefore, the decision was made to implement the functionality to open rasters from OpenFileGDBs directly using the `gdal` package. \n", + "\n", + "" ] }, { From 75c8a181efe3d80f68f2396bcb4f74bb9af800c8 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 28 Sep 2023 08:35:26 +0200 Subject: [PATCH 37/40] EditFiles --- .gitignore | 3 +++ docs/conf.py | 10 +++++++--- gemgis/__init__.py | 2 -- pyproject.toml | 13 ++++++++----- setup.py => xsetup.py | 0 5 files changed, 18 insertions(+), 10 deletions(-) rename setup.py => xsetup.py (100%) diff --git a/.gitignore b/.gitignore index 5c066080..3b88b3a3 100644 --- a/.gitignore +++ b/.gitignore @@ -100,6 +100,7 @@ share/python-wheels/ *.egg-info/ .installed.cfg *.egg +.idea/* # PyInstaller # Usually these files are written by a python script from a template @@ -239,3 +240,5 @@ examples/models/data/* examples/notebooks/data/* gemgis/__pycache__ __pycache__ + +_version_generated.py diff --git a/docs/conf.py b/docs/conf.py index c6f7c9cc..46ee6a7e 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -16,9 +16,7 @@ copyright = "2020–2023, GemGIS Developers" author = 'Alexander Juestel' -# The full version, including alpha/beta/rc tags -release = '1.1.1' -version = release + # -- GemGIS configuration --------------------------------------------------- import os @@ -29,6 +27,12 @@ sys.path.insert(0, os.path.abspath("../gemgis/")) sys.path.insert(0, os.path.abspath("../../gemgis/")) +# The full version, including alpha/beta/rc tags + +import gemgis as gg + +version = gg.__version__ + # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be diff --git a/gemgis/__init__.py b/gemgis/__init__.py index 33477fcb..7d875c17 100644 --- a/gemgis/__init__.py +++ b/gemgis/__init__.py @@ -20,8 +20,6 @@ __version_date__ = '2023-09-23' -__version__ = '1.1.1' - __changelog__ = """What is new in version 1.1.0: diff --git a/pyproject.toml b/pyproject.toml index 07f25e1a..66d6e46a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,6 +3,9 @@ requires = ["setuptools>=68.1.2", "setuptools_scm[toml]>=6.2"] build-backend = "setuptools.build_meta" +[tool.setuptools] +package-dir = { "" = "gemgis" } + [project] name = "GemGIS" @@ -17,8 +20,8 @@ description = "Spatial data processing for geomodeling" keywords = ["dataprocessing", "modeling", "geospatial", "geographic-data", "spatial-data", "rasterdata", "vectordata", "geographic", "geomodeling"] readme = "README.md" -license = {file = LICENSE} -dynamic = ["Version"] +#license = {file = LICENSE} +dynamic = ['version'] requires-python = ">=3.8" classifiers = [ 'Development Status :: 5 - Production/Stable', @@ -32,9 +35,9 @@ classifiers = [ 'Operating System :: OS Independent', ] dependencies = [ - geopandas, - rasterio, - pyvista, + 'geopandas', + 'rasterio', + 'pyvista', ] [project.urls] Documentation = 'https://gemgis.readthedocs.io/' diff --git a/setup.py b/xsetup.py similarity index 100% rename from setup.py rename to xsetup.py From b839643e86b772b83e55fb1b0a4a73dac3c91b52 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Thu, 28 Sep 2023 08:40:42 +0200 Subject: [PATCH 38/40] FurtherEdits --- MANIFEST.in | 4 +++- pyproject.toml | 2 +- 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/MANIFEST.in b/MANIFEST.in index dd9abbb0..437a9f2b 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -3,4 +3,6 @@ include README.md include requirements.txt include requirements_dev.txt -recursive-exclude * __pycache__ \ No newline at end of file +recursive-exclude * __pycache__ + +exclude .git/* .idea/* \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml index 66d6e46a..2434be75 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,7 @@ description = "Spatial data processing for geomodeling" keywords = ["dataprocessing", "modeling", "geospatial", "geographic-data", "spatial-data", "rasterdata", "vectordata", "geographic", "geomodeling"] readme = "README.md" -#license = {file = LICENSE} +license = {file = "LICENSE"} dynamic = ['version'] requires-python = ">=3.8" classifiers = [ From cafd405f996b3d90d5394adf59e670a23e1fc7cf Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Sat, 30 Sep 2023 11:04:42 +0200 Subject: [PATCH 39/40] Edits --- ...splaying_seismic_horizons_and_faults.ipynb | 32 ++++++++++++++++++- environment_dev.yml | 1 + gemgis/download_gemgis_data.py | 12 +++++-- gemgis/misc.py | 29 +++++++---------- gemgis/raster.py | 11 +++++-- gemgis/vector.py | 2 +- 6 files changed, 64 insertions(+), 23 deletions(-) diff --git a/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb b/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb index 1964567c..9ece4e25 100644 --- a/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb +++ b/docs/getting_started/tutorial/65_displaying_seismic_horizons_and_faults.ipynb @@ -2211,6 +2211,7 @@ } ], "metadata": { + "hide_input": false, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", @@ -2226,7 +2227,36 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.11" + "version": "3.8.5" + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false } }, "nbformat": 4, diff --git a/environment_dev.yml b/environment_dev.yml index fd3efeb0..ef9075bd 100644 --- a/environment_dev.yml +++ b/environment_dev.yml @@ -43,3 +43,4 @@ dependencies: - sphinx_automodapi - sphinx_numfig - numpydoc + - build diff --git a/gemgis/download_gemgis_data.py b/gemgis/download_gemgis_data.py index 1c0b62e7..a96c4d98 100644 --- a/gemgis/download_gemgis_data.py +++ b/gemgis/download_gemgis_data.py @@ -35,13 +35,17 @@ def create_pooch(storage_url: str, Base URL for the remote data source. files : List[str] A record of the files that are managed by this Pooch. - target : str, default: '' + target : str, default: ``''`` The path to the local data storage folder, e.g. ``target='Documents/gemgis/'``. Returns _______ pooch.core.Pooch Pooch class. + + See also + ________ + download_tutorial_data: Download the GemGIS data for each tutorial. """ try: import pooch @@ -67,11 +71,15 @@ def download_tutorial_data(filename: str, __________ filename : str File name to be downloaded by pooch, e.g. ``filename='file.zip'``. - dirpath : str, default: '' + dirpath : str, default: ``''`` Path to the directory where the data is being stored, default to the directory where the notebook is located, e.g. ``dirpath='Documents/gemgis/'``. storage_url : str, default 'https://rwth-aachen.sciebo.de/s/AfXRsZywYDbUF34/download?path=%2F' URL to the GemGIS data storage, default is the RWTH Aachen University Sciebo Cloud Storage. + + See also + ________ + create_pooch : Create pooch class to fetch files from a website. """ try: import pooch diff --git a/gemgis/misc.py b/gemgis/misc.py index 73443594..fb853405 100644 --- a/gemgis/misc.py +++ b/gemgis/misc.py @@ -1,5 +1,5 @@ """ -Contributors: Alexander Jüstel, Arthur Endlein Correia, Florian Wellmann, Marius Pischke +Contributors: Alexander Jüstel, Arthur Endlein Correia, Florian Wellmann, Marius Pischke. GemGIS is a Python-based, open-source spatial data processing library. It is capable of preprocessing spatial data such as vector data @@ -33,23 +33,21 @@ def load_pdf(path: str, save_as_txt: bool = True) -> str: - """Function to load pdf containing borehole data + """ + Load PDF file containing borehole data. Parameters __________ - path : str - Name of the PDF file, e.g. ``path='file.pdf'`` - - save_as_txt : bool + Name of the PDF file, e.g. ``path='file.pdf'``. + save_as_txt : bool, default: ``True`` Variable to save the extracted data as txt file. - Options include: ``True`` or ``False``, default set to ``True`` + Options include: ``True`` or ``False``. Returns _______ - - page_content : str - Extracted page content from borehole data + str + Extracted page content from borehole data. .. versionadded:: 1.0.x @@ -66,14 +64,11 @@ def load_pdf(path: str, See Also ________ - - get_meta_data : Getting the meta data of a well - get_meta_data_df : Getting the meta data of wells as DataFrame - get_stratigraphic_data : Getting the stratigraphic data of a well - get_stratigraphic_data_df : Getting the stratigraphic data of wells as DataFrame - + get_meta_data : Get the meta data of a well. + get_meta_data_df : Get the meta data of wells as DataFrame. + get_stratigraphic_data : Get the stratigraphic data of a well. + get_stratigraphic_data_df : Get the stratigraphic data of wells as DataFrame. """ - # Trying to import PyPDF2 but returning error if tqdm is not installed try: import PyPDF2 diff --git a/gemgis/raster.py b/gemgis/raster.py index 44c564a1..8f619bec 100644 --- a/gemgis/raster.py +++ b/gemgis/raster.py @@ -2716,7 +2716,8 @@ def extract_contour_lines_from_raster(raster: Union[rasterio.io.DatasetReader, n def read_raster_gdb(path: str, crs: Union[str, pyproj.crs.crs.CRS, - rasterio.crs.CRS] = None): + rasterio.crs.CRS] = None, + path_out: str = ''): """Read Raster from OpenFileGDB. Parameters @@ -2725,6 +2726,8 @@ def read_raster_gdb(path: str, Path to the OpenFileGDB. crs : str, pyproj.crs.crs.CRS, rasterio.crs.CRS Coordinate Reference System of the dataset. + path_out : str + Output folder path .. versionadded:: 1.1.1 @@ -2739,6 +2742,10 @@ def read_raster_gdb(path: str, if not isinstance(path, str): raise TypeError('Path to the OpenFileGDB must be provided as string') + # Checking that the output path is of type string + if not isinstance(path_out, str): + raise TypeError('Output path must be provided as string') + # Opening Database ds = gdal.Open(path) @@ -2768,7 +2775,7 @@ def read_raster_gdb(path: str, # Saving raster to file with rasterio.open( - ds.GetSubDatasets()[i][1].replace(' ', '') + '.tif', + path_out + ds.GetSubDatasets()[i][1].replace(' ', '') + '.tif', 'w', driver='GTiff', height=raster.shape[0], diff --git a/gemgis/vector.py b/gemgis/vector.py index 506339ee..1047e322 100644 --- a/gemgis/vector.py +++ b/gemgis/vector.py @@ -623,7 +623,7 @@ def extract_xy(gdf: gpd.geodataframe.GeoDataFrame, .. versionchanged:: 1.1 If a GeoDataFrame contains LineStrings and MultiLineStrings, the index of the exploded GeoDataFrame will now - be reset. Not resetting the index will cause index errors later on. + be reset. Not resetting the index will cause index errors later on. Example _______ From e3f9a1c3ead0baa43a589b2281454c6e4d7163a9 Mon Sep 17 00:00:00 2001 From: AlexanderJuestel Date: Tue, 3 Oct 2023 08:47:51 +0200 Subject: [PATCH 40/40] FixIssue303 --- gemgis/visualization.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/gemgis/visualization.py b/gemgis/visualization.py index 5bbf29b0..b2e34898 100644 --- a/gemgis/visualization.py +++ b/gemgis/visualization.py @@ -797,7 +797,7 @@ def convert_to_rgb(array: np.ndarray) -> np.ndarray: def drape_array_over_dem(array: np.ndarray, dem: Union[rasterio.io.DatasetReader, np.ndarray], extent: List[Union[float, int]] = None, - zmax: Union[float, int] = 1000, + zmax: Union[float, int] = 10000, resize_array: bool =True): """Creating grid and texture to drape array over a digital elevation model @@ -834,6 +834,10 @@ def drape_array_over_dem(array: np.ndarray, .. versionchanged:: 1.1 Function now allows rasters with different sizes and resizes one of the rasters automatically + .. versionchanged:: 1.1.2 + Edit zmax value and fixing a bug with the scikit-image resize function, + see https://github.com/cgre-aachen/gemgis/issues/303 + Example _______ @@ -921,10 +925,12 @@ def drape_array_over_dem(array: np.ndarray, if resize_array: array = resize(image=array, + preserve_range=True, output_shape=(dem.shape[0], dem.shape[1])) else: dem = resize(image=dem, + preserve_range=True, output_shape=(array.shape[0], array.shape[1]))