Built with the PyData Sphinx Theme 0.13.3.

Jan 30, 2025 · A Matplotlib cheat sheet is a concise guide that summarizes the key functions, commands, and techniques for creating visualizations using Matplotlib. It’s a handy reference for beginners and experienced users alike helping them quickly recall how to generate and customize plots, charts and graphs efficiently.

Jun 1, 2021 · With this handy reference, you'll familiarize yourself in no time with the basics of Matplotlib: you'll learn how you can prepare your data, create a new plot, use some basic plotting routines to your advantage, add customizations to your …

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. ...

Download our matplotlib cheat sheet for essential plotting commands, plus Seaborn and pandas commands for fast, customized visualizations.

Official Matplotlib cheat sheets. Contribute to matplotlib/cheatsheets development by creating an account on GitHub.

interactive visualizations in Python. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist.

Matplotlib is a Python 2D plotting library which produces publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. 1 >>> import numpy as np >>> x = np.linspace(0, 10, 100) >>> y = np.cos(x) >>> z = np.sin(x) Show Plot >>> plt.show() Save Plot Save figures >>> plt.savefig('foo.png') Save ...

A comprehensive cheatsheet for Matplotlib, covering key functions, syntax, and examples for effective data visualization in Python.

Jan 21, 2025 · Learn key Matplotlib functions with our Matplotlib cheat sheet. Includes examples, advanced customizations and comparison with Seaborn for better visualizations.