#MATHEMATICA PLOT CPLOT STYLE PATCH#
IPython’s creator, Fernando Perez, was at the time scrambling to finish his PhD, and let John know he wouldn’t have time to review the patch for several months. John took this as a cue to set out on his own, and the Matplotlib package was born, with version 0.1 released in 2003. One of Matplotlib’s most important features is its ability to play well It received an early boost when it was adopted as the plotting package of choice of the Space Telescope Science Institute (the folks behind the Hubble Telescope), which financially supported Matplotlib’s development and greatly expanded its capabilities. Matplotlib supportsĭozens of backends and output types, which means you can count on it to With many operating systems and graphics backends. This cross-platform, everything-to-everyone approach Work regardless of which operating system you are using or which outputįormat you wish. Matplotlib’s powerful tools and ubiquity within the scientific Python Userbase, which in turn has led to an active developer base and Has been one of the great strengths of Matplotlib. Newer tools like ggplot and ggvis in the R In recent years, however, the interface and style of Matplotlib haveīegun to show their age.
Of the opinion that we cannot ignore Matplotlib’s strength as a Language, along with web visualization toolkits based on D3js and HTML5Ĭanvas, often make Matplotlib feel clunky and old-fashioned. “Customizing Matplotlib: Configurations and Stylesheets”), and people have been developing new Make it relatively easy to set new global plotting styles (see Well-tested, cross-platform graphics engine.
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