API Overview
Below we describe several common approaches to plotting with Matplotlib.
The pyplot API
matplotlib.pyplot
is a collection of command style 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 lines in a plotting area, decorates the plot with labels, etc.
pyplot
is mainly intended for interactive plots and simple cases of programmatic plot generation.
Further reading:
- The
matplotlib.pyplot
function reference - Pyplot tutorial
- Pyplot examples
The object-oriented API
At its core, Matbplotlib is object-oriented. We recommend directly working with the objects, if you need more control and customization of your plots.
In many cases you will create a Figure
and one or more Axes
using pyplot.subplots
and from then on only work on these objects. However, it's also possible to create Figure
s explicitly (e.g. when including them in GUI applications).
Further reading:
-
matplotlib.axes.Axes
andmatplotlib.figure.Figure
for an overview of plotting functions. - Most of the examples use the object-oriented approach (except for the pyplot section).
The pylab API (disapproved)
Warning
Since heavily importing into the global namespace may result in unexpected behavior, the use of pylab is strongly discouraged. Use matplotlib.pyplot
instead.
matplotlib.pylab
is a module that includes matplotlib.pyplot
, numpy
and some additional functions within a single namespace. It's original puropse was to mimic a MATLAB-like way of working by importing all functions into the global namespace. This is considered bad style nowadays.
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Licensed under the Matplotlib License Agreement.
https://matplotlib.org/3.0.0/api/api_overview.html