Fix copybutton and sample dim name in docstring (#67)

doc/conf.py

@@ -77,6 +77,12 @@ def setup(app):
     'issue': ('https://github.com/pangeo-data/xbatcher/issues/%s', 'GH')
 }
 
+# sphinx-copybutton configurations (from https://github.com/pydata/xarray/blob/main/doc/conf.py)
+copybutton_prompt_text = (
+    r'>>> |\.\.\. |\$ |In \[\d*\]: | {2,5}\.\.\.: | {5,8}: '
+)
+copybutton_prompt_is_regexp = True
+
 autosummary_generate = True
 numpydoc_class_members_toctree = False
 numpydoc_show_class_members = False

xbatcher/generators.py

@@ -87,17 +87,20 @@ class BatchGenerator:
         A dictionary specifying the size of the inputs in each dimension,
         e.g. ``{'lat': 30, 'lon': 30}``
         These are the dimensions the ML library will see. All other dimensions
-        will be stacked into one dimension called ``batch``.
+        will be stacked into one dimension called ``sample``.
     input_overlap : dict, optional
         A dictionary specifying the overlap along each dimension
         e.g. ``{'lat': 3, 'lon': 3}``
     batch_dims : dict, optional
         A dictionary specifying the size of the batch along each dimension
-        e.g. ``{'time': 10}``. These will always be interated over.
+        e.g. ``{'time': 10}``. These will always be iterated over.
     concat_input_dims : bool, optional
         If ``True``, the dimension chunks specified in ``input_dims`` will be
-        concatenated and stacked into the batch dimension. If ``False``, they
-        will be iterated over.
+        concatenated and stacked into the ``sample`` dimension. The batch index
+        will be included as a new level ``input_batch`` in the ``sample``
+        coordinate.
+        If ``False``, the dimension chunks specified in ``input_dims`` will be
+        iterated over.
     preload_batch : bool, optional
         If ``True``, each batch will be loaded into memory before reshaping /
         processing, triggering any dask arrays to be computed.