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Making it easier to navigate and clean TAHMO weather station data and creating a way to access our unified weather dataset to reduce data fragmentation and global data divide in Africa.

Project description

Documentation

You can find the documentation for the project by following this link
https://filter-stations.readthedocs.io/en/latest/

Getting Started

All methods require an API key and secret, which can be obtained by contacting TAHMO.

  • The RetrieveData class is used to retrieve data from the TAHMO API endpoints.
  • The RainLoader class is used to get our DSAIL unified weather dataset from HuggingFace (See the documentation for more information on this)
  • The Kieni class is used to get weather data for stations 100km around Kieni from the central point.with water level data.

To get started on the module test it out on Google Colab

Open In Colab

For earlier versions (<= v0.6.2) use the link below for documentation

https://filter-stations.netlify.app/

Citations

If you use this package in your research, please cite it using the following BibTeX entry:

@misc{filter-stations,
  author = {Austin Kaburia},
  title = {filter-stations},
  year = {2024},
  publisher = {Python Package Index},
  journal = {PyPI},
  howpublished = {\url{https://pypi.org/project/filter-stations/}},
}

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