Wrapper for plotting with seaborn using Polars dataframes and lazyframes
Project description
seaborn_polars
Wrapper allowing to use Polars DataFrames and LazyFrames for plotting with seaborn
Requirements
Python 3.8+
Seaborn, Polars, Pandas, Numpy, Pyarrow
Installation
Use regular pip install:
pip install seaborn_polars pandas numpy polars seaborn pyarrow
Alternatively, clone this repository.
Usage
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.
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