Data and helper functions for a Python/Polars companion to Data Visualization
Project description
socviz_py
Data and helper functions for a Python/Polars companion to Data Visualization.
The PyPI distribution is socviz_py. The Polars-oriented import package is socviz_pl:
import socviz_pl as sv
gapminder = sv.load_data("gss_sm")
sv.available_data()
For now, load_data() returns Polars DataFrames from bundled Parquet files. A pandas-oriented API can be added later without changing the packaged data layout.
Data preparation
The packaged Parquet files live under src/socviz_data/_data.
The scripts used to regenerate them live in data-raw/, following the common R-package convention for source data preparation code.
Rscript data-raw/convert_socviz_rda_to_parquet.R
uv run python data-raw/build_counties.py
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