Load U.S. CRN data.
Project description
uscrn
Easily load U.S. CRN data.
Example:
import uscrn as crn
df = crn.get_data(2019, "hourly", n_jobs=6) # pandas.DataFrame
ds = crn.to_xarray(df) # xarray.Dataset
Both df (pandas) and ds (xarray) include dataset and variable metadata.
For df, these are in df.attrs and can be preserved by
writing to Parquet with the PyArrow engine with pandas v2.1+.
df.to_parquet("crn_2019_hourly.parquet", engine="pyarrow")
Mamba install example:
mamba create -n crn -c conda-forge python=3.10 joblib numpy pandas pyyaml requests xarray pyarrow netcdf4
mamba activate crn
pip install --no-deps uscrn
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