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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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test_pylabtools.py
63 lines | 1.9 KiB | text/x-python | PythonLexer
"""Tests for pylab tools module.
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2011, the IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from __future__ import print_function
# Stdlib imports
# Third-party imports
import matplotlib; matplotlib.use('Agg')
import nose.tools as nt
from matplotlib import pyplot as plt
import numpy as np
# Our own imports
from IPython.testing import decorators as dec
from .. import pylabtools as pt
#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Local utilities
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------
@dec.parametric
def test_figure_to_svg():
# simple empty-figure test
fig = plt.figure()
yield nt.assert_equal(pt.print_figure(fig, 'svg'), None)
plt.close('all')
# simple check for at least svg-looking output
fig = plt.figure()
ax = fig.add_subplot(1,1,1)
ax.plot([1,2,3])
plt.draw()
svg = pt.print_figure(fig, 'svg')[:100].lower()
yield nt.assert_true('doctype svg' in svg)
def test_import_pylab():
ip = get_ipython()
ns = {}
pt.import_pylab(ns, import_all=False)
nt.assert_true('plt' in ns)
nt.assert_equal(ns['np'], np)