dataframe-api-compat 0.1.10

Implementation of the DataFrame Standard for pandas and Polars

DataFrame API Compat

Implementation of the DataFrame Standard for pandas and polars-eager

Note: there is ongoing discussion about lazy engines in the Standard. Until that has been resolved, this package should not be relied upon for polars-lazy.

What's this?

Please read our blog post! https://data-apis.org/blog/dataframe_standard_rfc/.

How to try this out

Here's an example of how you can try this out:

import pandas as pd
from dataframe_api_compat import pandas_standard
from dataframe_api_compat import polars_standard

def convert_to_standard_compliant_dataframe(df):
    if isinstance(df, pd.DataFrame):
        return pandas_standard.convert_to_standard_compliant_dataframe(df)
    elif isinstance(df, pl.DataFrame):
        return polars_standard.convert_to_standard_compliant_dataframe(df)
    else:
        raise TypeError(f"Got unexpected type: {type(df)}")

df = pd.DataFrame({'a': [1,2,3]})
df_std = convert_to_standard_compliant_dataframe(df)

The object df_std is a Standard-compliant DataFrame.

Installation

pip install dataframe-api-compat