install via pip

.gitignore

@@ -1,2 +1,5 @@
 __pycache__
-.ipynb_checkpoints
+.ipynb_checkpoints
+*.egg-info
+build
+dist

readme.md

@@ -4,6 +4,12 @@
 
 CDO (Climate data operator) is a high-efficient command line tool for climate and meteorology data processing. This Python package helps to generate complicated cdo expr(computing expression) in a convenient and pythonic way.
 
+## Install
+Install via pip
+```shell
+pip install pycdoexpr==0.0.1
+```
+
 ## Usage
 1. generate digitize expr (same as np.digitize)
 ```python 
@@ -72,6 +78,9 @@ f"cdo expr,'WW={expr}' infile outfile"
 ```
 ![](static/conditions.jpg)
 
+3. convert single xgboost / sklearn tree to expr
+ - [ ] TODO
+
 ## Benchmark
 
 > cdo expr vs (np.verctorize calc and xarray io)

setup.py

@@ -0,0 +1,32 @@
+import os
+from setuptools import find_packages, setup
+
+FILE_PATH = os.path.dirname(os.path.realpath(__file__))
+
+with open(os.path.join(FILE_PATH, "README.md"), "r") as f:
+    description = f.read()
+
+with open(os.path.join(FILE_PATH, "requirements.txt")) as f:
+    required = f.read().splitlines()
+
+setup(
+    name="pycdoexpr",
+    version="0.0.1",
+    author="blizhan",
+    author_email="[email protected]",
+    description="A Python package helps to generate complicated cdo expr(computing expression) in pythonic way",
+    long_description=description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/blizhan/pycdoexpr",
+    package_dir={"pycdoexpr": "pycdoexpr", ".": "./"},
+    package_data={
+        "": ["*.toml", "*.txt"],
+    },
+    include_package_data=True,
+    packages=find_packages(),
+    install_requires=required,
+    classifiers=[
+        "Programming Language :: Python :: 3",
+    ],
+    python_requires=">=3.7",
+)