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  1. 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 …

  2. Examples — Matplotlib 3.10.8 documentation

    When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for some …

  3. Pyplot tutorial — Matplotlib 3.10.8 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 …

  4. Plot types — Matplotlib 3.10.8 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 3.10.8 documentation

    Matplotlib graphs your data on Figure s (e.g., windows, Jupyter widgets, etc.), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates …

  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 …

  7. matplotlib.pyplot.plot — Matplotlib 3.10.8 documentation

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

  8. Usage Guide — Matplotlib 3.3.3 documentation

    Nov 12, 2020 · Some people use matplotlib in batch scripts to generate postscript images from numerical simulations, and still others run web application servers to dynamically serve up …

  9. matplotlib.pyplot.bar — Matplotlib 3.10.8 documentation

    matplotlib.pyplot.bar # matplotlib.pyplot.bar(x, height, width=0.8, bottom=None, *, align='center', data=None, **kwargs) [source] # Make a bar plot. The bars are positioned at x with the given …

  10. Interactive figures — Matplotlib 3.10.8 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 …