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Matplotlib is a comprehensive library for creating static, animated,and interactive visualizations in Python. Matplotlib makes easy thingseasy and hard things possible. Createpublication quality plots. Makeinteractive figuresthat can zoom, pan, update. Customizevisual styleandlayout.
- Plot Types
Statistical distributions#. Plots of the distribution of at...
- Examples
Event handling#. Matplotlib supports event handling with a...
- User guide
Using Matplotlib# Quick start guide. A simple example; Parts...
- Tutorials
Many of our tutorials were moved from this section to Using...
- Reference
Axes interface (object-based, explicit). create a Figure and...
- Contribute
Since Matplotlib is an open source project with limited...
- Releases
What's new in Matplotlib 3.7.0 (Feb 13, 2023) API Changes...
- Discourse
A place for Matplotlib users and developers to meet. A place...
- Plot Types
Learn how to use Matplotlib, a low level graph plotting library in python, with this tutorial. Find out where the Matplotlib codebase is located and how to get certified in python.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Learn how to install, use, and contribute to Matplotlib with guides, tutorials, examples, and API reference.
- Introduction to pyplot# 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.
- Plotting with keyword strings# There are some instances where you have data in a format that lets you access particular variables with strings. For example, with structured arrays or pandas.DataFrame.
- Plotting with categorical variables# It is also possible to create a plot using categorical variables. Matplotlib allows you to pass categorical variables directly to many plotting functions.
- Controlling line properties# Lines have many attributes that you can set: linewidth, dash style, antialiased, etc; see matplotlib.lines.Line2D. There are several ways to set line properties.
Nov 3, 2011 · Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Learn how to install, use, and contribute to matplotlib, and cite it for your projects.
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Jul 25, 2024 · Learn the basics of Matplotlib, a powerful plotting library in Python for creating static, animated, and interactive visualizations. Explore the key features, components, types, and styles of Matplotlib figures and plots.