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matplotlib/matplotlib: REL: v2.1.0
Michael Droettboom; Thomas A Caswell; John Hunter; Eric Firing; Jens Hedegaard Nielsen; Nelle Varoquaux; Benjamin Root; +23 Authors
Michael Droettboom; Thomas A Caswell; John Hunter; Eric Firing; Jens Hedegaard Nielsen; Nelle Varoquaux; Benjamin Root; Elliott Sales de Andrade; Phil Elson; Darren Dale; Jae-Joon Lee; Antony Lee; Jouni K. Seppänen; Ryan May; David Stansby; Damon McDougall; Andrew Straw; Paul Hobson; Tony S Yu; Eric Ma; Christoph Gohlke; Steven Silvester; Charlie Moad; Adrien F. Vincent; Jan Schulz; Peter Würtz; Federico Ariza; Cimarron; Thomas Hisch; Nikita Kniazev;
matplotlib/matplotlib: REL: v2.1.0
This is the second minor release in the Matplotlib 2.x series and the first release with major new features since 1.5. This release contains approximately 2 years worth of work by 275 contributors across over 950 pull requests. Highlights from this release include: support for string categorical values export of animations to interactive javascript widgets major overhaul of polar plots reproducible output for ps/eps, pdf, and svg backends performance improvements in drawing lines and images GUIs show a busy cursor while rendering the plot along with many other enhancements and bug fixes.
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).1 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.Average 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.Average views 375 downloads 34 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).1 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.Average 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.Average - 375views34downloads
citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts 1
Average
Average
Average
375
34
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This is the second minor release in the Matplotlib 2.x series and the first release with major new features since 1.5. This release contains approximately 2 years worth of work by 275 contributors across over 950 pull requests. Highlights from this release include: support for string categorical values export of animations to interactive javascript widgets major overhaul of polar plots reproducible output for ps/eps, pdf, and svg backends performance improvements in drawing lines and images GUIs show a busy cursor while rendering the plot along with many other enhancements and bug fixes.
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