v2.2.2 LTS
This release fixes a number of critical bugs:
- restores matplotlib.verbose (fixing embedding in pycharm)
- preserve precision when color mapping small portions of data with
extreme outliers
- fixes saving long movies with ffmpeg
- fixes UnbourdLocal error in contour labeling
- fixes import failure on python 3.4.0 and 3.4.1
- fixes compile time failures with clang on 32bit platforms
- fixes an icon in the Tk backends
- fixes several issues with Tables
- fixes expanding offset boxes with tight_layout
- revert changes to the font caching to avoid a possible bug in
backports.lru_cache
- numerous docstring and documentation fixes
We have reverted the deprecation of font_manager.TempCache.
v2.2.1 did not actually restore matplotlib.verbose.
v2.2.1 LTS
This release fixes a number of critical bugs:
- restores matplotlib.verbose (fixing embedding in pycharm)
- preserve precision when color mapping small portions of data with
extreme outliers
- fixes saving long movies with ffmpeg
- fixes UnbourdLocal error in contour labeling
- fixes import failure on python 3.4.0 and 3.4.1
- fixes compile time failures with clang on 32bit platforms
- fixes an icon in the Tk backends
- fixes several issues with Tables
- fixes expanding offset boxes with tight_layout
- revert changes to the font caching to avoid a possible bug in
backports.lru_cache
- numerous docstring and documentation fixes
We have reverted the deprecation of font_manager.TempCache.
v2.2.0 LTS
This release includes new features including:
- An experimental constrained layout manager
- Color blind friendly color map (cividis) and color cycle
(tableau-colorblind10)
- native support for numpy.datetime64 types
- animated gif writing via pillow
- TkAgg now works with pypy
- cairo based backends for Qt, Tk, and WX
There are several API changes in this release:
- To support the constrained layout Matplotlib has a new required
dependency (kiwisolver).
- The matplotlib.finance module has been removed, development has
moved to a stand-alone project.
2.1.2:
This release fixes a number of critical bugs:
- fix a typo in mlab.cohere which yielded incorrect results
- allow nonposx / nonposy to pass through loglog
- fix color comparisons when finding handles with legend
- fixes a recursive draw bug and a major performance regression in
Qt5Agg backend
- fix a re-draw bug in WxAgg
- fix image scaling with high-bit depth integers
- revert the busy-cursor
pkgsrc changes:
- add test target (Ran 5205 tests in 362.603s OK (KNOWNFAIL=468, SKIP=15))
upstream changes:
REL: v1.5.2
Final planned release for the 1.5.x series.
REL: v1.5.1
First bug fix release for 1.5.x series.
REL: v1.5.0
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.
REL: v1.4.3
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.
REL: v1.4.2
Minor bug-fix release for 1.4 series
regenerated pyplot.py
REL: v1.4.1
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
REL: v1.4.0
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
Problems found with existing digests:
Package fotoxx distfile fotoxx-14.03.1.tar.gz
ac2033f87de2c23941261f7c50160cddf872c110 [recorded]
118e98a8cc0414676b3c4d37b8df407c28a1407c [calculated]
Package ploticus-examples distfile ploticus-2.00/plnode200.tar.gz
34274a03d0c41fae5690633663e3d4114b9d7a6d [recorded]
da39a3ee5e6b4b0d3255bfef95601890afd80709 [calculated]
Problems found locating distfiles:
Package AfterShotPro: missing distfile AfterShotPro-1.1.0.30/AfterShotPro_i386.deb
Package pgraf: missing distfile pgraf-20010131.tar.gz
Package qvplay: missing distfile qvplay-0.95.tar.gz
Otherwise, existing SHA1 digests verified and found to be the same on
the machine holding the existing distfiles (morden). All existing
SHA1 digests retained for now as an audit trail.
to address issues with NetBSD-6(and earlier)'s fontconfig not being
new enough for pango.
While doing that, also bump freetype2 dependency to current pkgsrc
version.
Suggested by tron in PR 47882
matplotlib is a pure python plotting library designed to bring
publication quality plotting to python with a syntax familiar to
matlab users. A lot progress towards this goal has been made since
the first release of matplotlib, the library does produce high quality
2D plots. All of the plotting commands can be accessed either via a
functional interface familiar to matlab users or an object oriented
interface familiar to python users, and several high resolution output
formats are supported.
This package contains the Tk driver for matplotlib.
Tutorial: http://matplotlib.sourceforge.net/tutorial.html
