matplotlib

This is the first release candidate from Matplotlib 3.2

The first bug-fix release of the 3.1 series

• Locator.nonsingular return order API change

Lots of backports of various bug fixes.

This is the second minor release in the Matplotlib 2.x series and the first release with major new features since 1.5.

This release contains approximately 2 years worth of work by 275 contributors across over 950 pull requests. Highlights from this release include:

• support for string categorical values
• export of animations to interactive javascript widgets
• major overhaul of polar plots
• reproducible output for ps/eps, pdf, and svg backends
• performance improvements in drawing lines and images
• GUIs show a busy cursor while rendering the plot

along with many other enhancements and bug fixes.

Major release of Matplotlib

This release completely overhauls the default style of the plots.

Highlights include:

• 'viridis' is default color map instead of jet.
• Modernized the default color cycle.
• Many more functions respect the color cycle.
• Line dash patterns scale with linewidth.
• Change default font to DejaVu, now supports most Western alphabets (including Greek, Cyrillic and Latin with diacritics), math symbols and emoji out of the box.
• Faster text rendering.
• Improved auto-limits.
• Ticks out and only on the right and bottom spines by default.
• Improved auto-ticking, particularly for log scales and dates.
• Improved image support (imshow respects scales and eliminated a class of artifacts).

This is the second and final planned release candidate for mpl v2.0

This release includes:

• Bug fixes and documentation changes
• Expanded API on plot_surface and plot_wireframe
• Pin font size at text creation time
• Suppress fc-cache warning unless it takes more than 5s

This is the first release candidate for mpl v2.0

This release includes:

• A re-implementation of the way margins are handled during auto scaling to allow artists to 'stick' to an edge of the Axes
• Improvements to the ticking with log and symlog scales
• Deprecation of the finance module. This will be spun off into a stand-alone package
• Deprecation of the 'hold' machinery
• Bumped the minimum numpy version to 1.7
• Standardization of hatch width and appearance across backends
• Made threshold for triggering 'offset' in ScalarFormatter configurable and default to 4 (plotting against years should just work now)
• Default encoding for mp4 is now h264
• fill_between and fill_betweenx now use the color cycle
• Default alignment of bars changed from 'edge' to 'center'
• Bug and documentation fixes

Third beta for v2.0.0 release

This tag includes several critical bug fixes and updates the dash patterns.

First beta release of v2.0.0

This previews the new default style and many bug-fixes. A full list of the style changes will be collected for the final release.

In addition to the style change this release includes:

• overhaul of font handling/text rendering to be faster and clearer
• many new rcParams
• Agg based OSX backend
• optionally deterministic SVGs
• complete re-write of image handling code
• simplified color conversion
• specify colors in the global property cycle via 'C0', 'C1'... 'C9'
• use the global property cycle more places (bar, stem, scatter)

There is a 'classic' style sheet which reproduces the 1.Y defaults:

import matplotlib.style as mstyle mstyle.use('classic')

This release contains a few critical bug fixes:

• eliminate fatal exceptions with Qt5.7
• memory leak in the contour code
• keyboard interaction bug with nbagg
• automatic integration with the ipython event loop (if running) which fixes 'naive' integration for IPython 5+

Final planned release for the 1.5.x series.

First bug fix release for 1.5.x series.

This release of matplotlib has several major new features:

• Auto-redraw using the object-oriented API.
• Most plotting functions now support labeled data API.
• Color cycling has extended to all style properties.
• Four new perceptually uniform color maps, including the soon-to-be default 'viridis'.
• More included style sheets.
• Many small plotting improvements.
• Proposed new framework for managing the GUI toolbar and tools.

This is the last planned bug-fix release in the 1.4 series.

Many bugs are fixed including:

• fixing drawing of edge-only markers in AGG
• fix run-away memory usage when using %inline or saving with a tight bounding box with QuadMesh artists
• improvements to wx and tk gui backends

Additionally the webagg and nbagg backends were brought closer to feature parity with the desktop backends with the addition of keyboard and scroll events thanks to Steven Silvester.

Minor bug-fix release for 1.4 series

• regenerated pyplot.py

Bug-fix release for the 1.4 series.

• reverts the changes to interactive plotting so ion will work as before in all cases
• fixed boxplot regressions
• fixes for finding freetype and libpng
• sundry unicode fixes (looking up user folders, importing seaborn/pandas/networkx with macosx backend)
• nbagg works with python 3 + new font awesome
• fixed saving dialogue in QT5

This release has contributions from ~170 authors (http://matplotlib.org/users/github_stats.html).

This release contains many bug fixes as will as a number of new features. For the full list see http://matplotlib.org/users/whats_new.html#new-in-matplotlib-1-4. Some highlights are:

• style module : experimental package to make managing the style of matplotlib figures easier
• nbagg : interactive figures in ipython notebooks backed by the AGG renderer
• full python 3 support (including cairo backends)
• Qt5 support (for python 3 only)
• violin plots and 3D quiver plots (projects done for a course at University of Toronto, Scarborough)
• improved box plot interface