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  1. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout.

    • Plot types

      Plot types#. Overview of many common plotting commands...

    • User guide

      Using Matplotlib# Quick start guide. A simple example; Parts...

    • Tutorials

      Tutorials#. This page contains a few tutorials for using...

    • Examples

      Event handling#. Matplotlib supports event handling with a...

    • Reference

      API Reference# Matplotlib interfaces#. Matplotlib has two...

    • Contribute

      Since Matplotlib is an open source project with limited...

    • Releases

      What's new in Matplotlib 3.7.0 (Feb 13, 2023) API Changes...

    • Discourse

      If you have something cool you created with matplotlib, show...

  2. Matplotlib is a low level graph plotting library in python that serves as a visualization utility. Matplotlib was created by John D. Hunter. Matplotlib is open source and we can use it freely. Matplotlib is mostly written in python, a few segments are written in C, Objective-C and Javascript for Platform compatibility.

  3. Learn how to use matplotlib.pyplot, a collection of functions that make matplotlib work like MATLAB, to generate visualizations. See examples of plotting with different formats, styles, keywords, and categorical variables.

  4. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations.

  5. Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.

  6. en.wikipedia.org › wiki › MatplotlibMatplotlib - Wikipedia

    Matplotlib supports various types of 2 dimensional and 3 dimensional plots. The support for two dimensional plots is robust. The support for three dimensional plots was added later and while it is good, it is not as robust as 2 dimensional plots.

  7. Matplotlib – biblioteka do tworzenia wykresów dla języka programowania Python i jego rozszerzenia numerycznego NumPy. Zawiera ona API „ pylab ” zaprojektowane tak aby było jak najbardziej podobne do MATLABa, przez co jest łatwy do nauczenia przez jego użytkowników.

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