Wrapper allowing to use Polars DataFrames and LazyFrames for plotting with seaborn
Python 3.8+
Seaborn, Polars, Pandas, Numpy, Pyarrow
Use regular pip install:
pip install seaborn_polars pandas numpy polars seaborn pyarrow
Install from the main branch on GitHub:
pip install pip install "git+https://github.com/pavelcherepan/seaborn_polars#egg=seaborn_polars"
You may need to run pip install --upgrade pip first.
Alternatively, clone this repository and run pip install . from the project root directory.
The package is a wrapper around seaborn plotting functions allowing to use Polars DataFrames and LazyFrames with the same syntax as when using Pandas DataFrames.
import polars as pl
import seaborn_polars as snl
df = pl.scan_csv('data.csv')
snl.scatterplot(df, x='rating', y='responses', hue='gender')
The package uses a deepcopy of original data. That way the original dataframe remains unaffected. For example, in the code snippet above, if we check the type of df after plotting we'll see that it is still a Polars LazyFrame.
All the plotting functions and parameters are identical to seaborn. When using data parameter, it has to be positional-only, the rest of parameters are keyword arguments.