##// END OF EJS Templates
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

File last commit:

r3692:7403bafc
r8562:7d16877a
Show More
__init__.py
9 lines | 259 B | text/x-python | PythonLexer
Thomas Spura
Unbundle of all external modules....
r3408 try:
from numpy.testing.decorators import *
Paul Ivanov
make know failures report as 'K'...
r3511 from numpy.testing.noseclasses import KnownFailure
Thomas Spura
Unbundle of all external modules....
r3408 except ImportError:
Thomas Spura
import from module and not from module.py...
r3412 from _decorators import *
MinRK
don't unconditionally import nose...
r3692 try:
from _numpy_testing_noseclasses import KnownFailure
except ImportError:
pass