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. |
| + | Publication-Quality Plots | Users can create high-quality plots suitable for scientific publications and presentations. |
| + | Multiple Export Formats | Export plots to formats like PNG, PDF, SVG, and more. |
| + | Embedding in JupyterLab and GUIs | Integrates seamlessly with JupyterLab notebooks and graphical user interfaces. |
| + | Layout Control | Provides fine-grained control over plot layout, including subplot arrangements and spacing. |
| + | Third Party Extension | A rich array of third-party packages extends and builds on Matplotlib functionality. |
| - | Steep Learning Curve | Can be challenging for beginners due to its extensive customization options and sometimes complex syntax |
| - | Customization Effort | Adjusting plots for aesthetic purposes or customizing axes and other plot elements may require substantial effort |
| - | Low-Level Interface: | While Matplotlib can plot virtually anything, creating non-basic plots can be complex due to its low-level interface |
System Requirements
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Ratings
4.705
| SourceForge | 4.75 based on 58 reviews |
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Developer
Written in
Python, C++
Initial Release
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Alternatives
Graphic Plotting
No alternative software available under 'Graphic Plotting' category.
No alternative software available under 'Graphic Plotting' category.