Adapt inline backend to changes in matplotlib#2384
Closed
jenshnielsen wants to merge 2 commits intoipython:0.13.1from
Closed
Adapt inline backend to changes in matplotlib#2384jenshnielsen wants to merge 2 commits intoipython:0.13.1from
jenshnielsen wants to merge 2 commits intoipython:0.13.1from
Conversation
Member
|
Thanks for getting onto this so quickly. I'd be inclined to add a comment just above the |
Contributor
Author
|
@takluyver Good point. Comment added |
Member
|
Thanks. If my matplotlib PPA build succeeds tonight, I'll test this tomorrow. Otherwise, I'll take your word for it that it works. |
Member
|
Please do make this a PR against master. We backport PRs to 0.13.1 from master by tagging the appropriate ones. |
minrk
added a commit
that referenced
this pull request
Oct 11, 2012
Matplotlib recently merged matplotlib/matplotlib#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
mindw
pushed a commit
to mindw/ipython
that referenced
this pull request
Oct 18, 2012
Matplotlib recently merged matplotlib/matplotlib#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
yarikoptic
added a commit
to yarikoptic/ipython
that referenced
this pull request
May 2, 2014
* tag 'rel-0.13.1': (27 commits) remove rc for 0.13.1 final 0.13.1.rc3 qtconsole extras_require to whatsnew Backport PR ipython#2492: add missing 'qtconsole' extras_require add 2480 to whatsnew Backport PR ipython#2480: Add deprecation warnings for sympyprinting PR 2384 to whatsnew mark 0.13.1.rc2 Backport PR ipython#2384: Adapt inline backend to changes in matplotlib mark 0.13.1.rc1 update 0.13.1 whatsnew lists Backport PR ipython#2479: use new _winapi instead of removed _subprocess Backport PR ipython#2437: don't let log cleanup prevent engine start Backport PR ipython#2405: clarify TaskScheduler.hwm doc Backport PR ipython#2377: Fix installation of man pages in Python 3 start 0.13.1 whatsnew Backport PR ipython#2373: fix missing imports in core.interactiveshell Backport PR ipython#2365: fix names of notebooks for download/save Backport PR ipython#2345: Remove references to 'version' no longer in argparse. Github issue ipython#2343. Backport PR ipython#2347: adjust division error message checking to account for Python 3 ...
yarikoptic
added a commit
to yarikoptic/ipython
that referenced
this pull request
May 2, 2014
* tag 'rel-0.13.1': (51 commits) remove rc for 0.13.1 final 0.13.1.rc3 qtconsole extras_require to whatsnew Backport PR ipython#2492: add missing 'qtconsole' extras_require add 2480 to whatsnew Backport PR ipython#2480: Add deprecation warnings for sympyprinting PR 2384 to whatsnew mark 0.13.1.rc2 Backport PR ipython#2384: Adapt inline backend to changes in matplotlib mark 0.13.1.rc1 update 0.13.1 whatsnew lists Backport PR ipython#2479: use new _winapi instead of removed _subprocess Backport PR ipython#2437: don't let log cleanup prevent engine start Backport PR ipython#2405: clarify TaskScheduler.hwm doc Backport PR ipython#2377: Fix installation of man pages in Python 3 start 0.13.1 whatsnew Backport PR ipython#2373: fix missing imports in core.interactiveshell Backport PR ipython#2365: fix names of notebooks for download/save Backport PR ipython#2345: Remove references to 'version' no longer in argparse. Github issue ipython#2343. Backport PR ipython#2347: adjust division error message checking to account for Python 3 ...
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Matplotlib recently merged matplotlib/matplotlib#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