dataframe-api-compat 0.1.16

Implementation of the DataFrame Standard for pandas and Polars

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/.

Documentation

Please check https://data-apis.org/dataframe-api/draft/API_specification/index.html for the methods supported by the Consortium Dataframe Standard.

How to try this out

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

import polars as pl

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

The object df_std is a Standard-compliant DataFrame. Check the API Specification for the full list of methods supported on it.

Compliance with the Standard

This is mostly compliant. Notable differences:

• for pandas numpy dtypes, the null values (NaN) don't follow Kleene logic;

• for polars lazy, columns can only be used within the context of the same dataframe. For example:

  Not allowed:

  mask = df2.get_column_by_name('a') > 0
  df1.filter(mask)
  

  Allowed:

  mask = df1.get_column_by_name('a') > 0
  df1.filter(mask)
  

• for polars lazy, comparisons between different dataframes are not implemented.

Installation

pip install dataframe-api-compat