tea-tasting 0.4.0

[e10v]

What's Changed

• Switch to PyArrow for internal data and remove Pandas dependency by @e10v in Switch to PyArrow for internal data and remove Pandas dependency #114

Breaking changes

• Pandas is not automatically installed with tea-tasting anymore. Install it explicitly to export an analysis result using to_pandas method.
• The methods make_users_data and make_sessions_data now return a PyArrow Table by default. You can control the return type by using the return_type parameter. The other possible output types are a Pandas DataFrame or a Polars DataFrame. They require Pandas or Polars packages, respectively.

Enhancements

• Switching from Pandas to PyArrow for internal data can speed up calculations in some use cases.
• You can export an analysis result to a PyArrow Table using the to_arrow method.
• You can export an analysis result to a Polars DataFrame using the to_polars method. Polars is not installed automatically. Install it explicitly to use methods that return a Polars DataFrame.
• The methods make_users_data and make_sessions_data can return a Polars DataFrame. Use the return_type parameter.

Full Changelog: v0.3.1...v0.4.0

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This discussion was created from the release tea-tasting 0.4.0.