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Matplotlib

A Python library for creating static, animated, and interactive visualizations in two dimensions.

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Versatility
Can generate a wide range of plots, including line plots, scatter plots, bar plots, histograms, pie charts, contour plots, 3D plots, and more.
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Customization
Offers extensive customization options to control every aspect of the plot, such as line styles, colors, markers, labels, and annotations.
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Publication-Quality Plots
Users can create high-quality plots suitable for scientific publications and presentations.
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Multiple Export Formats
Export plots to formats like PNG, PDF, SVG, and more.
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Embedding in JupyterLab and GUIs
Integrates seamlessly with JupyterLab notebooks and graphical user interfaces.
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Layout Control
Provides fine-grained control over plot layout, including subplot arrangements and spacing.
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Third Party Extension
A rich array of third-party packages extends and builds on Matplotlib functionality.
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Steep Learning Curve
Can be challenging for beginners due to its extensive customization options and sometimes complex syntax
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Customization Effort
Adjusting plots for aesthetic purposes or customizing axes and other plot elements may require substantial effort
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Low-Level Interface:
While Matplotlib can plot virtually anything, creating non-basic plots can be complex due to its low-level interface

Platform

Desktop
Language
Python

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System Requirements

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Ratings

4.70
5

SourceForge
4.7
5
based on 58 reviews

Developer

Written in

Python, C++

Initial Release

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Repository

License

Categories

Alternatives

Graphic Plotting
No alternative software available under 'Graphic Plotting' category.

Notes

  • Although not required, it is suggested to also install IPython for interactive use.( source)