Matplotlib: Visualization with Python

<p>Highlights of this release include:</p> <ul> <li>Plotting and Annotation improvements<ul> <li>Axes.inset_axes is no longer experimental</li> <li>Legend support for Boxplot</li> <li>Percent sign in pie labels auto-escaped with usetex=True</li> <li>hatch parameter for stackplot</li> <li>Add option to plot only one half of violin plot</li> <li>axhline and axhspan on polar axes</li> <li>Subplot titles can now be automatically aligned</li> <li>axisartist can now be used together with standard Formatters</li> <li>Toggle minorticks on Axis</li> <li>StrMethodFormatter now respects axes.unicode_minus</li> </ul> </li> <li>Figure, Axes, and Legend Layout<ul> <li>Subfigures now have controllable zorders</li> <li>Getters for xmargin, ymargin and zmargin</li> </ul> </li> <li>Mathtext improvements<ul> <li>mathtext documentation improvements</li> <li>mathtext spacing corrections</li> </ul> </li> <li>Widget Improvements<ul> <li>Check and Radio Button widgets support clearing</li> </ul> </li> <li>3D plotting improvements<ul> <li>Setting 3D axis limits now set the limits exactly</li> </ul> </li> <li>Other improvements<ul> <li>New BackendRegistry for plotting backends</li> <li>Add widths, heights and angles setter to EllipseCollection</li> <li>image.interpolation_stage rcParam</li> <li>Arrow patch position is now modifiable</li> <li>NonUniformImage now has mouseover support</li> </ul> </li> </ul>If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007

Matplotlib: Visualization with Python

<p>REL: v3.8.2</p> <p>This is the second bugfix release of the 3.8 series.</p> <p>Highlights of this release include:</p> <ul> <li>Fix a segfault in the MacOS backend when running on Python 3.12</li> <li>Fix Contour labeling manual positions selecting incorrect contours.</li> <li>Various documentation improvements</li> </ul>If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007

Matplotlib: Visualization with Python

<p>This is the third micro release of the 3.8 series.</p> <p>Highlights of the 3.8.3 release include:</p> <ul> <li>Improvements to the MacOS backend<ul> <li>Fix hanging on <code>plt.pause</code></li> <li>Fix warnings about "Secure coding is not enabled for restorable state"</li> </ul> </li> <li>Fix crash at exit for PGF backend</li> </ul>If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007

Matplotlib: Visualization with Python

REL: v3.8.0 Highlights of this release include: Type hints for most public APIs Many improvements to Mathtext Addition of \boldsymbol command Additional sizable delimiters Documentation improvements \substack command \middle delimitier \mathbfit for bold italic text 3D plotting improvements Specify tick/axis label positions Improved text for coordinates in interactive sessions Ability to share view angles New plotting method ecdf (empirical cumulative distribution function)If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007

Matplotlib: Visualization with Python

<p>This is the second release candidate for the meso release 3.9.0.</p>If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007

Matplotlib: Visualization with Python

<p>This is the fourth micro release of the 3.8 series.</p> <p>Highlights of the 3.8.4 release include:</p> <ul> <li>Enable building against numpy 2.0; released wheels are built against numpy 2</li> <li>macosx: Clean up single-shot timers correctly</li> <li>Add a draw during show for macos backend</li> <li>Fix color sequence data for Set2 and Set3</li> <li>gtk: Ensure pending draws are done before GTK draw</li> <li>Update "Created with" url in hand.svg</li> <li>Avoid modifying user input to Axes.bar</li> <li>fix quiver3d incorrect arrow colors</li> </ul>If Matplotlib contributes to a project that leads to a scientific publication, please acknowledge this fact by citing J. D. Hunter, "Matplotlib: A 2D Graphics Environment", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007