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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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__init__.py
75 lines | 2.2 KiB | text/x-python | PythonLexer
"""The IPython ZMQ-based parallel computing interface.
Authors:
* MinRK
"""
#-----------------------------------------------------------------------------
# Copyright (C) 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
#-----------------------------------------------------------------------------
import os
import warnings
import zmq
from IPython.config.configurable import MultipleInstanceError
from IPython.zmq import check_for_zmq
if os.name == 'nt':
min_pyzmq = '2.1.7'
else:
min_pyzmq = '2.1.4'
check_for_zmq(min_pyzmq, 'IPython.parallel')
from IPython.utils.pickleutil import Reference
from .client.asyncresult import *
from .client.client import Client
from .client.remotefunction import *
from .client.view import *
from .controller.dependency import *
from .error import *
from .util import interactive
#-----------------------------------------------------------------------------
# Functions
#-----------------------------------------------------------------------------
def bind_kernel(**kwargs):
"""Bind an Engine's Kernel to be used as a full IPython kernel.
This allows a running Engine to be used simultaneously as a full IPython kernel
with the QtConsole or other frontends.
This function returns immediately.
"""
from IPython.zmq.ipkernel import IPKernelApp
from IPython.parallel.apps.ipengineapp import IPEngineApp
# first check for IPKernelApp, in which case this should be a no-op
# because there is already a bound kernel
if IPKernelApp.initialized() and isinstance(IPKernelApp._instance, IPKernelApp):
return
if IPEngineApp.initialized():
try:
app = IPEngineApp.instance()
except MultipleInstanceError:
pass
else:
return app.bind_kernel(**kwargs)
raise RuntimeError("bind_kernel be called from an IPEngineApp instance")