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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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payloadpage.py
96 lines | 2.8 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""
A payload based version of page.
Authors:
* Brian Granger
* Fernando Perez
"""
#-----------------------------------------------------------------------------
# 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
try:
from docutils.core import publish_string
except ImportError:
# html paging won't be available, but we don't raise any errors. It's a
# purely optional feature.
pass
# Our own
from IPython.core.interactiveshell import InteractiveShell
#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------
def page(strng, start=0, screen_lines=0, pager_cmd=None,
html=None, auto_html=False):
"""Print a string, piping through a pager.
This version ignores the screen_lines and pager_cmd arguments and uses
IPython's payload system instead.
Parameters
----------
strng : str
Text to page.
start : int
Starting line at which to place the display.
html : str, optional
If given, an html string to send as well.
auto_html : bool, optional
If true, the input string is assumed to be valid reStructuredText and is
converted to HTML with docutils. Note that if docutils is not found,
this option is silently ignored.
Note
----
Only one of the ``html`` and ``auto_html`` options can be given, not
both.
"""
# Some routines may auto-compute start offsets incorrectly and pass a
# negative value. Offset to 0 for robustness.
start = max(0, start)
shell = InteractiveShell.instance()
if auto_html:
try:
# These defaults ensure user configuration variables for docutils
# are not loaded, only our config is used here.
defaults = {'file_insertion_enabled': 0,
'raw_enabled': 0,
'_disable_config': 1}
html = publish_string(strng, writer_name='html',
settings_overrides=defaults)
except:
pass
payload = dict(
source='IPython.zmq.page.page',
text=strng,
html=html,
start_line_number=start
)
shell.payload_manager.write_payload(payload)
def install_payload_page():
"""Install this version of page as IPython.core.page.page."""
from IPython.core import page as corepage
corepage.page = page