Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets

Cheat sheet Version3.7.4 Quick start API import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt X = np.linspace(0, 2*np.pi, 100) Y = np.cos(X) fig, ax = plt.subplots() ax.plot(X, Y, color=’green’) fig.savefig(“figure.pdf”) plt.show() Anatomy of a figure 0 1 2 3 4 0.25 0.50 0.75 1.25 1.50 1.75 2.25 2.50 2.75 3.25 3. ...

Matplotlib for beginners Matplotlibisalibraryformaking2DplotsinPython. Itis designedwiththephilosophythatyoushouldbeableto createsimpleplotswithjustafewcommands:

import matplotlib.patheffects as fx text = ax.text(0.5, 0.1, ”Label”) text.set_path_effects([fx.Stroke(linewidth=3, foreground=’1.0’), fx.Normal()]) Multiline plot …

Matplotlib for intermediate users Amatplotlibfigureiscomposedofahierarchyofelements thatformstheactualfigure.Eachelementcanbemodified. 0 1 2 3 4

Aug 11, 2019 · I just made a matplotlib cheat sheet that might come handy when you don’t remember the name of a function or a parameter. It’s available from https://github.com/rougier/matplotlib-cheatsheet. Nicolas

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 plots. Make …

This script demonstrates the different available style sheets on a common set of example plots: scatter plot, image, bar graph, patches, line plot and histogram. Any of these style sheets can be imported (i.e. activated) by its name.

Matplotlib

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 FAQ in our user guide.