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  1. Examples — Matplotlib 3.10.7 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 procedural …

  2. 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 things possible. Create publication quality plots. …

  3. Pyplot tutorial — Matplotlib 3.10.7 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 figure, plots some …

  4. Plot types — Matplotlib 3.10.7 documentation

    Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.

  5. Quick start guide — Matplotlib 3.10.7 documentation

    Matplotlib's documentation and examples use both the OO and the pyplot styles. In general, we suggest using the OO style, particularly for complicated plots, and functions and scripts that are intended to …

  6. Sample plots in Matplotlib — Matplotlib 3.4.3 documentation

    Aug 13, 2021 · Matplotlib has basic GUI widgets that are independent of the graphical user interface you are using, allowing you to write cross GUI figures and widgets. See matplotlib.widgets and the widget …

  7. matplotlib.pyplot.plot — Matplotlib 3.10.7 documentation

    See also scatter XY scatter plot with markers of varying size and/or color ( sometimes also called bubble chart).

  8. Interactive figures — Matplotlib 3.10.7 documentation

    Interactive figures # 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 …

  9. Plots with different scales — Matplotlib 3.10.7 documentation

    You can use separate matplotlib.ticker formatters and locators as desired since the two Axes are independent. Such Axes are generated by calling the Axes.twinx method.

  10. List of named colors — Matplotlib 3.10.7 documentation

    Matplotlib supports colors from the xkcd color survey, e.g. "xkcd:sky blue". Since this contains almost 1000 colors, a figure of this would be very large and is thus omitted here.