SummaryTable.to_pandas#

SummaryTable.to_pandas()[source]#

Return the coefficient table as a pandas.DataFrame.

The parameter names become the index and the metadata is attached to DataFrame.attrs, so nothing in the summary is lost in translation.

Return type:: DataFrame
Returns:: The coefficient table.
Raises:: ImportError – If pandas is not installed.

API reference

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Examples

Research workflows on live FRED data, from identification to forecast evaluation, as scripts and notebooks.

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Pre-releases are published to PyPI and announced on GitHub Releases. Pin the exact version in anything that must not move.

pip install --pre cultivars==1.0.0a4

© 2026, Nikhil Sunder. Released under the MIT License. cultivars is an independent open-source project and is not affiliated with the Federal Reserve Bank of St. Louis; FRED® is a registered trademark of the Federal Reserve Bank of St. Louis.

cultivars 1.0.0a4 · updated 2026-10-13 · built with Sphinx 9.1.0 and the PyData Sphinx Theme