<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

pandas-dev/pandas: Pandas 1.0.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Jan 2020Publisher:Zenodo

Authors: Jeff Reback; Wes McKinney; jbrockmendel; Joris Van den Bossche; Tom Augspurger; Phillip Cloud; gfyoung; +23 Authors

doi: 10.5281/zenodo.3630805

pandas-dev/pandas: Pandas 1.0.0

- Summary
- Related research
  (2)
- Metrics

Abstract

This is a major release from 0.25.3, and includes a number of API changes, new features, enhancements, and performance improvements along with a large number of bug fixes. Highlights include A redesigned website and documentation theme Using Numba in rolling.apply A new DataFrame method for converting to Markdown A new scalar for missing values Dedicated extension types for string and nullable boolean data See the whatsnew for a list of all the changes. The release can be installed from PyPI python -m pip install --upgrade pandas Or with conda from the defaults or conda-forge channels. conda install pandas Please report any issues with the release candidate on the pandas issue tracker.

Related Organizations

Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities, Germany
Germany
Hospital Corporation of America
United States
Laboratori Guglielmo Marconi (Italy)
Italy
Google (United States)
United States

Filter by relation

All relations

arrow_drop_down

2 Research products, page 1 of 1

pandas-dev/pandas: Pandas
2025IsVersionOf
pandas-dev/pandas: v1.0.0rc0
2020IsAmongTopNSimilarDocuments

Impact byBIP!

	citations 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).	15
	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.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%