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Backport PR #2384: Adapt inline backend to changes in matplotlib...
Backport PR #2384: Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master
Brian E Granger - - Load All Authors

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api_changes.txt
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=============
API Changes
=============
.. contents::
..
1 Purpose
2 Version 0.8.2
Purpose
=======
This file documents backwards-incompatible changes to the IPython API,
including user-visible changes of commands, magics, etc.
It should be filled in reverse chronological order, with one section for each
release (which means changes since the previous release).
Version 0.8.2
=============
Changes made since version 0.8.1 was released:
* %pushd/%popd behave differently; now "pushd /foo" pushes CURRENT directory
and jumps to /foo. The current behaviour is closer to the documented
behaviour, and should not trip anyone.
Version 0.8.3
=============
* pydb is now disabled by default (due to %run -d problems). You can enable
it by passing -pydb command line argument to IPython. Note that setting
it in config file won't work.