Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout.

Contribute # Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets

This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event occurs in so you don't have to mess with low level transformation details to go from canvas space to data space.

We fine-tune the width so that # there is no excess horizontal or vertical margin around the image. width_ratios=[1.05, 2], ) # Load the MRI data (256x256 16-bit integers) with …

Plotting data on a map (Example Gallery) # Following are a series of examples that illustrate how to use Basemap instance methods to plot your data on a map. More examples are included in the examples directory of the basemap source distribution. There are a number of Basemap instance methods for plotting data: contour(): draw contour lines.

Matplotlib is a library for making 2D plots of arrays in Python. Although it has its origins in emulating the MATLAB graphics commands, it is independent of MATLAB, and can be used in a Pythonic, object-oriented way.

Seaborn: Statistical data visualization Cartopy: Geospatial data processing yt: Volumetric data visualization mpld3: Bringing Matplotlib to the browser Datashader: Large data processing pipeline plotnine: A grammar of graphics for Python

3D and volumetric data # Plots of three-dimensional (x, y, z), surface f (x, y) = z, and volumetric V x, y, z data using the mpl_toolkits.mplot3d library.

Aug 13, 2021 · mpl_toolkits.mplot3d provides some basic 3D plotting (scatter, surf, line, mesh) tools. Not the fastest or most feature complete 3D library out there, but it ships with Matplotlib and thus may be a lighter weight solution for some use cases.

Matplotlib — Visualization with Python