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.
Examples — Matplotlib 3.10.8 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 …
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 figure, plots some …
Pairwise data — Matplotlib 3.10.8 documentation
© Copyright 2002–2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012–2025 The Matplotlib development team. Created using Sphinx 8.2.3. Built …
plot (x, y) — Matplotlib 3.10.8 documentation
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 * np.sin(2 * x2) …
bar (x, height) — Matplotlib 3.10.8 documentation
import matplotlib.pyplot as plt import numpy as np plt.style.use('_mpl-gallery') # make data: x = 0.5 + np.arange(8) y = [4.8, 5.5, 3.5, 4.6, 6.5, 6.6, 2.6, 3.0] # plot fig, ax = plt.subplots() ax.bar(x, y, …
3D plotting — Matplotlib 3.10.8 documentation
Plot 2D data on 3D plot Demo of 3D bar charts Clip the data to the axes view limits Create 2D bar graphs in different planes 3D box surface plot Plot contour (level) curves in 3D Plot contour (level) …
3D and volumetric data — Matplotlib 3.10.8 documentation
© Copyright 2002–2012 John Hunter, Darren Dale, Eric Firing, Michael Droettboom and the Matplotlib development team; 2012–2025 The Matplotlib development team. Created using Sphinx 8.2.3. Built …
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).
Quick start guide — Matplotlib 3.10.8 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 …