Implementation of the DataFrame Standard for pandas and Polars
Project description
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
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