Matplotlib Tutorials
“Matplotlib Tutorials” is a comprehensive resource that delves into the intricacies of using Matplotlib for data visualization in Python. The tutorials cover a wide range of topics, from basic plotting techniques to advanced customization options. Readers can expect to learn how to create various types of plots, manipulate plot elements, and enhance visualizations for effective data communication. With a focus on practical examples and step-by-step guidance, this source aims to equip users with the skills needed to leverage Matplotlib effectively in their data analysis and visualization projects.
Introductory
Introductory These tutorials cover the basics of creating visualizations with Matplotlib, as well as some best-practices in using the package effectively. Basic Usage Basic Usage Pyplot tutorial Pyplo...
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Text
Text matplotlib has extensive text support, including support for mathematical expressions, truetype support for raster and vector outputs, newline separated text with arbitrary rotations, and unicode...
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Provisional
Provisional These tutorials cover proposed APIs of any complexity. These are here to document features that we have released, but want to get user feedback on before committing to them. Please have a ...
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Toolkits
Toolkits These tutorials cover toolkits designed to extend the functionality of Matplotlib in order to accomplish specific goals. Overview of mpl_toolkits.axes_grid1 Overview of :mod:`mpl_toolkits.axe...
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Intermediate
Intermediate These tutorials cover some of the more complicated classes and functions in Matplotlib. They can be useful for particular custom and complex visualizations. Artist tutorial Artist tutoria...
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Advanced
Advanced These tutorials cover advanced topics for experienced Matplotlib users and developers. Faster rendering by using blitting Faster rendering by using blitting Path Tutorial Path Tutorial Path e...
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Colors
Colors Matplotlib has support for visualizing information with a wide array of colors and colormaps. These tutorials cover the basics of how these colormaps look, how you can create your own, and how ...
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Constrained Layout Guide
Constrained Layout Guide How to use constrained-layout to fit plots within your figure cleanly. constrained_layout automatically adjusts subplots and decorations like legends and colorbars so that the...
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Choosing Colormaps in Matplotlib
Choosing Colormaps in Matplotlib Matplotlib has a number of built-in colormaps accessible via matplotlib.cm.get_cmap . There are also external libraries that have many extra colormaps, which can be vi...
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Basic Usage
Basic Usage This tutorial covers some basic usage patterns and best practices to help you get started with Matplotlib. A simple example Matplotlib graphs your data on Figure s (e.g., windows, Jupyter ...
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Pyplot tutorial
Pyplot tutorial An introduction to the pyplot interface. Intro to pyplot matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to...
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Image tutorial
Image tutorial A short tutorial on plotting images with Matplotlib. Startup commands First, let's start IPython. It is a most excellent enhancement to the standard Python prompt, and it ties in especi...
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