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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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pydata/patsy: v0.5.6

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 04 Jan 2024Publisher:Zenodo
Authors: Nathaniel J. Smith; Matthew Wardrop; Christian Hudon; broessli; Peter Quackenbush; Skipper Seabold; Andrey Portnoy; +10 Authors
Code repository: https://github.com/pydata/patsy/tree/v0.5.6

doi: 10.5281/zenodo.10459707 , 10.5281/zenodo.592075

pydata/patsy: v0.5.6

Abstract

This is a minor release pre-empting some upstream deprecations in numpy and pandas. Avoid using deprecated is_categorical_dtype from pandas at all in pandas >=0.25. (thanks @EpigeneMax, @lesteve, @bashtage) Avoid using deprecated numpy.row_stack in favor of numpy.vstack in preparation from numpy 2.0. (thanks @bashtage)

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average