Metadata-Version: 2.1
Name: geocif
Version: 0.1.36
Summary: Models to visualize and forecast crop conditions and yields
Home-page: https://ritviksahajpal.github.io/yield_forecasting/
Author: Ritvik Sahajpal
Author-email: ritvik@umd.edu
License: MIT license
Keywords: geocif
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE

# geocif


[![image](https://img.shields.io/pypi/v/geocif.svg)](https://pypi.python.org/pypi/geocif)
[![image](https://img.shields.io/conda/vn/conda-forge/geocif.svg)](https://anaconda.org/conda-forge/geocif)


**Models to visualize and forecast crop conditions and yields**


-   Free software: MIT license
-   Documentation: https://ritviksahajpal.github.io/yield_forecasting/


### Upload package to pypi
1. Update requirements.txt
2. Update version="A.B.C" in setup.py
3. Navigate to the directory containing `setup.py` and run the following command:
```python
pipreqs . --force --savepath requirements.txt
mamba env export > environment.yml
python setup.py sdist
twine upload dist/geocif-A.B.C.tar.gz
```


## Credits

This package was created with [Cookiecutter](https://github.com/cookiecutter/cookiecutter) and the [giswqs/pypackage](https://github.com/giswqs/pypackage) project template.
