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Releases: matplotlib/matplotlib

matplotlib v1.5.0

29 Oct 21:40
v1.5.0
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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.

Release 1.4.3

16 Feb 04:22
v1.4.3
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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.

v1.4.2

26 Oct 03:24
v1.4.2
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Minor bug-fix release for 1.4 series

  • regenerated pyplot.py

v1.4.1

18 Oct 18:56
v1.4.1
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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

v1.4.0

26 Aug 21:06
v1.4.0
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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