Implementation of the DataFrame Standard for pandas and polars
Project description
DataFrame API Compat
Implementation of the DataFrame Standard for pandas and polars.
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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