
Matplotlib — Visualization with Python
Matplotlib: Visualization with Python. Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard …
Pyplot tutorial — Matplotlib 3.10.3 documentation
matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a …
Matplotlib cheatsheets — Visualization with Python
Contribute#. Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets On this page Cheatsheets; Handouts; Contribute
Using Matplotlib — Matplotlib 3.10.3 documentation
Customizing Matplotlib with style sheets and rcParams. Runtime rc settings; Using style sheets; The matplotlibrc file
Examples — Matplotlib 3.10.3 documentation
Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot …
Plot types — Matplotlib 3.10.3 documentation
Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.
3D plotting — Matplotlib 3.10.3 documentation
Plot 2D data on 3D plot; Demo of 3D bar charts; Clip the data to the axes view limits; Create 2D bar graphs in different planes; 3D box surface plot; Plot contour (level) curves in 3D; Plot …
Tutorials — Matplotlib 3.10.3 documentation
This page contains a few tutorials for using Matplotlib. For the old tutorials, see below. For shorter examples, see our examples page. You can also find external resources and a FAQ in our …
Matplotlib for beginners Matplotlibisalibraryformaking2DplotsinPython. Itis designedwiththephilosophythatyoushouldbeableto createsimpleplotswithjustafewcommands:
Interactive figures — Matplotlib 3.10.3 documentation
Interactivity can be invaluable when exploring plots. The pan/zoom and mouse-location tools built into the Matplotlib GUI windows are often sufficient, but you can also use the event system to …