[Matplotlib-users] matplotlib v1.4.3

[Thomas Caswell]

Hello all,

We are pleased to announce the release of matplotlib v1.4.3!

Wheels, windows binaries and the source tarball are available through both
source-forge [1] and pypi (via pip). Additionally the source is available
tarball is available from github [2] and mac-wheels from
http://wheels.scikit-image.org/.

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.

The next planned release will be based on the 1.4.x series but will change
the default colors and be tagged as version v2.0. The target release date
is in the next month or two.

The next feature release will be v2.1 targeted for around SciPy in July.

Tom


[1]
https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.3/

[2] https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3

[Nelle Varoquaux]

Thanks again Thomas for the release !
Cheers,
N

Post by Thomas Caswell
Hello all,
We are pleased to announce the release of matplotlib v1.4.3!
Wheels, windows binaries and the source tarball are available through both
source-forge [1] and pypi (via pip). Additionally the source is available
tarball is available from github [2] and mac-wheels from
http://wheels.scikit-image.org/.
This is the last planned bug-fix release in the 1.4 series.
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.
The next planned release will be based on the 1.4.x series but will change
the default colors and be tagged as version v2.0. The target release date is
in the next month or two.
The next feature release will be v2.1 targeted for around SciPy in July.
Tom
[1]
https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.3/
[2] https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3
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[Ryan Nelson]

Tom and other devs,

Thanks for all the hard work! Looking forward to making the upgrade.

Just curious if there is a detailed roadmap for v2 and beyond. I feel like
there have been some rumors that the get/set architecture will be
deprecated at some point.

Ryan

Post by Nelle Varoquaux
Thanks again Thomas for the release !
Cheers,
N

Post by Thomas Caswell
Hello all,
We are pleased to announce the release of matplotlib v1.4.3!
Wheels, windows binaries and the source tarball are available through

both

Post by Thomas Caswell
source-forge [1] and pypi (via pip). Additionally the source is

available

Post by Thomas Caswell
tarball is available from github [2] and mac-wheels from
http://wheels.scikit-image.org/.
This is the last planned bug-fix release in the 1.4 series.
fixing drawing of edge-only markers in AGG
fix run-away memory usage when using %inline or saving with a tight

bounding

Post by Thomas Caswell
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.
The next planned release will be based on the 1.4.x series but will

change

Post by Thomas Caswell
the default colors and be tagged as version v2.0. The target release

date is

Post by Thomas Caswell
in the next month or two.
The next feature release will be v2.1 targeted for around SciPy in July.
Tom
[1]

https://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.4.3/

Post by Thomas Caswell
[2] https://github.com/matplotlib/matplotlib/releases/tag/v1.4.3

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Post by Thomas Caswell
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Post by Thomas Caswell
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