Create Visualizations by Coding
matplotlib is a Python library for drawing 2D graphics from code. Designed to work smoothly with NumPy, it produces publication-ready images for screen or print. You can script plots in plain Python and export figures to multiple file formats.
Supported Environments
- Integrates with graphical user interfaces (toolkits such as Qt, Tk, or Wx).
- Runs inside web application frameworks and servers.
- Works interactively in IPython and Jupyter notebook sessions.
Common Plot Types
- Three-dimensional plots and surface visualizations.
- Scatter diagrams for exploring relationships between variables.
- Bar charts for comparing categorical data.
- Histograms for visualizing distributions.
- Line plots, box plots, and many other specialized diagrams.
Key Advantages
matplotlib offers a MATLAB-like pyplot API for quick, familiar plotting, while also exposing lower-level controls for detailed customization. If you need precise control over every element of a figure—layout, fonts, colors, ticks, and annotations—this library provides the flexibility to tweak nearly everything.
Alternative Option
- Euler Math Toolbox — a free math/visualization package that some users prefer as an alternative.
Technical
Title
matplotlib
Requirements
- Windows
Language
No language has been specified.
Available languages
License
- Free
Latest update
2023-05-24
Author
Matplotlib development team
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