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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

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asyncfrontendbase.py
82 lines | 2.7 KiB | text/x-python | PythonLexer
"""
Base front end class for all async frontends.
"""
__docformat__ = "restructuredtext en"
# Tell nose to skip this module
__test__ = {}
#-------------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------
# Third-party
from twisted.python.failure import Failure
from zope.interface import implements, classProvides
# From IPython
from IPython.frontend.frontendbase import (FrontEndBase, IFrontEnd,
IFrontEndFactory)
from IPython.kernel.core.history import FrontEndHistory
from IPython.kernel.engineservice import IEngineCore
import uuid
#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------
class AsyncFrontEndBase(FrontEndBase):
"""
Overrides FrontEndBase to wrap execute in a deferred result.
All callbacks are made as callbacks on the deferred result.
"""
implements(IFrontEnd)
classProvides(IFrontEndFactory)
def __init__(self, engine=None, history=None):
assert(engine==None or IEngineCore.providedBy(engine))
self.engine = IEngineCore(engine)
if history is None:
self.history = FrontEndHistory(input_cache=[''])
else:
self.history = history
def execute(self, block, blockID=None):
"""Execute the block and return the deferred result.
Parameters:
block : {str, AST}
blockID : any
Caller may provide an ID to identify this block.
result['blockID'] := blockID
Result:
Deferred result of self.interpreter.execute
"""
if(not self.is_complete(block)):
return Failure(Exception("Block is not compilable"))
if(blockID == None):
blockID = uuid.uuid4()
d = self.engine.execute(block)
d.addCallback(self._add_history, block=block)
d.addCallbacks(self._add_block_id_for_result,
errback=self._add_block_id_for_failure,
callbackArgs=(blockID,),
errbackArgs=(blockID,))
d.addBoth(self.update_cell_prompt, blockID=blockID)
d.addCallbacks(self.render_result,
errback=self.render_error)
return d