Matplotlib — Visualization with Python
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 …
Pyplot tutorial — Matplotlib 3.10.0 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 lines in a plotting area, decorates the plot with labels, etc.
Matplotlib documentation — Matplotlib 3.10.0 documentation
Matplotlib 3.10.0 documentation# Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install#
Examples — Matplotlib 3.10.0 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 interface, so take a look at the examples/api directory for …
Tutorials — Matplotlib 3.10.0 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 user guide.
Installation — Matplotlib 3.10.0 documentation
If you are using Python from https://www.python.org, Homebrew, or Macports, then you can use the standard pip installer to install Matplotlib binaries in the form of wheels. pip is installed by default with python.org and Homebrew Python, but needs to …
Plot types — Matplotlib 3.10.0 documentation
Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.
Choosing Colormaps in Matplotlib — Matplotlib 3.10.0 …
Matplotlib has a number of built-in colormaps accessible via matplotlib.colormaps. There are also external libraries that have many extra colormaps, which can be viewed in the Third-party colormaps section of the Matplotlib documentation.
List of named colors — Matplotlib 3.10.0 documentation
This plots a list of the named colors supported by Matplotlib. For more information on colors in matplotlib see. the Specifying colors tutorial; the matplotlib.colors API; the Color Demo. Helper Function for Plotting# First we define a helper function for making a table of colors, then we use it on some common color categories.
Histograms — Matplotlib 3.10.0 documentation
How to plot histograms with Matplotlib. import matplotlib.pyplot as plt import numpy as np from matplotlib import colors from matplotlib.ticker import PercentFormatter # Create a random number generator with a fixed seed for reproducibility rng = np . random . default_rng ( 19680801 )