
Matplotlib cheatsheets — Visualization with Python
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() …
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
[Matplotlib-users] Matplotlib 3.1 cheat sheet
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 …
Visualization with Python - Matplotlib
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 …
Style sheets reference — Matplotlib 3.10.1 documentation
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 …
Matplotlib
Matplotlib
Tutorials — Matplotlib 3.10.1 documentation
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 …