Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible.
November 15, 2021Matplotlib 3.5.0 Released
Highlights include HAWAII - OUTSTANDING 19th CENTURY COLLECTION FROM OLD SCOTT ALBU, post-colormaping resampling, and support for GTK4 and Qt6.
September 15, 2021Matplotlib selected for NASA ROSES funding
September 9, 2021Matplotlib awarded a CZI EOSS Cycle 4 grant
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Domain Specific Tools
A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).More Domain-Specific Tools
seaborn is a high level interface for drawing statistical graphics with Matplotlib. It aims to make visualization a central part of exploring and understanding complex datasets.statistical data visualization
Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses.O-ring (ID x cross,mm) 74 x 2 DIN 3770, EU origin, variable pack
DNA Features Viewer
DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.DNA Features Viewer
plotnine is an implementation of a grammar of graphics in Python. The grammar allows users to compose plots by explicitly mapping data to the visual objects that make up the plot.plotnine
WCSAxes is a framework for making plots of Astronomical data in Matplotlib.WCSAxes
Matplotlib is a community project maintained for and by its users
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Matplotlib is the result of development efforts by John Hunter (1968–2012) and the project's many contributors.
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