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 …

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. …

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 example …

There's a convenient way for plotting objects with labelled data (i.e. data that can be accessed by index obj['y']). Instead of giving the data in x and y, you can provide the object in the data parameter and …

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

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 (or theta-r in a …

Plot types Examples Reference API reference Figure methods Plotting methods Top-level interfaces to create: figures: pyplot.figure subplots: pyplot.subplots, pyplot.subplot_mosaic

Matplotlib Axes are the gateway to creating your data visualizations. Once an Axes is placed on a figure there are many methods that can be used to add data to the Axes.

(Source code, 2x.png, png) If a plot does not show up please check Troubleshooting. Where to go next # Check out Plot types to get an overview of the types of plots you can create with Matplotlib. Learn …

The explicit object-oriented API is recommended for complex plots, though pyplot is still usually used to create the figure and often the Axes in the figure. See pyplot.figure, pyplot.subplots, and …