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pandas.DataFrame\n\nds = uscrn.to_xarray(df)  # xarray.Dataset, with soil depth dimension if applicable (hourly, daily)\n```\n\nBoth `df` (pandas) and `ds` (xarray) include dataset and variable metadata.\nFor `df`, these are in `df.attrs` and can be preserved by\nwriting to Parquet with the PyArrow engine[^d] with\n[pandas v2.1+](https://pandas.pydata.org/docs/whatsnew/v2.1.0.html#other-enhancements).\n\n```python\ndf.to_parquet(\"uscrn_2019_hourly.parquet\", engine=\"pyarrow\")\n```\n\nConda install example[^c]:\n\n```sh\nconda create -n crn -c conda-forge python=3.11 joblib numpy pandas pyyaml requests xarray pyarrow netcdf4\nconda activate crn\npip install --no-deps uscrn\n```\n\n[^a]: Use `uscrn.load_meta()` to load the site metadata table.\n\n[^b]: Not counting the `import` statement...\n\n[^c]: `uscrn` is not yet on conda-forge.\n\n[^d]: Or the fastparquet engine with [fastparquet v2024.2.0+](https://github.com/dask/fastparquet/commit/9d7ee90e38103fef3dd1bd2f5eb0654b8bd3fdff).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzmoon%2Fuscrn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzmoon%2Fuscrn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzmoon%2Fuscrn/lists"}