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 …

Introduction to pyplot # 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 …

Aug 13, 2021 · Sample plots in Matplotlib ¶ Here you'll find a host of example plots with the code that generated them.

import matplotlib.pyplot as plt import numpy as np # Data for plotting t = np.arange(0.0, 2.0, 0.01) s = 1 + np.sin(2 * np.pi * t) fig, ax = plt.subplots() ax.plot(t, s) ax.set(xlabel='time (s)', …

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.pyplot.plot # matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

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 …

import matplotlib.pyplot as plt import numpy as np plt.style.use('_mpl-gallery') # make data x = np.linspace(0, 10, 100) y = 4 + 1 * np.sin(2 * x) x2 = np.linspace(0, 10, 25) y2 = 4 + 1 * …

Tutorials # 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 …

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 …