|
|
"""Produce SVG versions of active plots for display by the rich Qt frontend.
|
|
|
"""
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Imports
|
|
|
#-----------------------------------------------------------------------------
|
|
|
from __future__ import print_function
|
|
|
|
|
|
# Standard library imports
|
|
|
import sys
|
|
|
|
|
|
# Third-party imports
|
|
|
import matplotlib
|
|
|
from matplotlib.backends.backend_agg import new_figure_manager, FigureCanvasAgg
|
|
|
from matplotlib._pylab_helpers import Gcf
|
|
|
|
|
|
# Local imports.
|
|
|
from IPython.config.configurable import SingletonConfigurable
|
|
|
from IPython.core.display import display
|
|
|
from IPython.core.displaypub import publish_display_data
|
|
|
from IPython.core.pylabtools import print_figure, select_figure_format
|
|
|
from IPython.utils.traitlets import Dict, Instance, CaselessStrEnum, Bool
|
|
|
from IPython.utils.warn import warn
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Configurable for inline backend options
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# inherit from InlineBackendConfig for deprecation purposes
|
|
|
class InlineBackendConfig(SingletonConfigurable):
|
|
|
pass
|
|
|
|
|
|
class InlineBackend(InlineBackendConfig):
|
|
|
"""An object to store configuration of the inline backend."""
|
|
|
|
|
|
def _config_changed(self, name, old, new):
|
|
|
# warn on change of renamed config section
|
|
|
if new.InlineBackendConfig != old.InlineBackendConfig:
|
|
|
warn("InlineBackendConfig has been renamed to InlineBackend")
|
|
|
super(InlineBackend, self)._config_changed(name, old, new)
|
|
|
|
|
|
# The typical default figure size is too large for inline use,
|
|
|
# so we shrink the figure size to 6x4, and tweak fonts to
|
|
|
# make that fit.
|
|
|
rc = Dict({'figure.figsize': (6.0,4.0),
|
|
|
# play nicely with white background in the Qt and notebook frontend
|
|
|
'figure.facecolor': 'white',
|
|
|
'figure.edgecolor': 'white',
|
|
|
# 12pt labels get cutoff on 6x4 logplots, so use 10pt.
|
|
|
'font.size': 10,
|
|
|
# 72 dpi matches SVG/qtconsole
|
|
|
# this only affects PNG export, as SVG has no dpi setting
|
|
|
'savefig.dpi': 72,
|
|
|
# 10pt still needs a little more room on the xlabel:
|
|
|
'figure.subplot.bottom' : .125
|
|
|
}, config=True,
|
|
|
help="""Subset of matplotlib rcParams that should be different for the
|
|
|
inline backend."""
|
|
|
)
|
|
|
|
|
|
figure_format = CaselessStrEnum(['svg', 'png', 'retina'], default_value='png', config=True,
|
|
|
help="The image format for figures with the inline backend.")
|
|
|
|
|
|
def _figure_format_changed(self, name, old, new):
|
|
|
if self.shell is None:
|
|
|
return
|
|
|
else:
|
|
|
select_figure_format(self.shell, new)
|
|
|
|
|
|
close_figures = Bool(True, config=True,
|
|
|
help="""Close all figures at the end of each cell.
|
|
|
|
|
|
When True, ensures that each cell starts with no active figures, but it
|
|
|
also means that one must keep track of references in order to edit or
|
|
|
redraw figures in subsequent cells. This mode is ideal for the notebook,
|
|
|
where residual plots from other cells might be surprising.
|
|
|
|
|
|
When False, one must call figure() to create new figures. This means
|
|
|
that gcf() and getfigs() can reference figures created in other cells,
|
|
|
and the active figure can continue to be edited with pylab/pyplot
|
|
|
methods that reference the current active figure. This mode facilitates
|
|
|
iterative editing of figures, and behaves most consistently with
|
|
|
other matplotlib backends, but figure barriers between cells must
|
|
|
be explicit.
|
|
|
""")
|
|
|
|
|
|
shell = Instance('IPython.core.interactiveshell.InteractiveShellABC')
|
|
|
|
|
|
|
|
|
#-----------------------------------------------------------------------------
|
|
|
# Functions
|
|
|
#-----------------------------------------------------------------------------
|
|
|
|
|
|
def show(close=None):
|
|
|
"""Show all figures as SVG/PNG payloads sent to the IPython clients.
|
|
|
|
|
|
Parameters
|
|
|
----------
|
|
|
close : bool, optional
|
|
|
If true, a ``plt.close('all')`` call is automatically issued after
|
|
|
sending all the figures. If this is set, the figures will entirely
|
|
|
removed from the internal list of figures.
|
|
|
"""
|
|
|
if close is None:
|
|
|
close = InlineBackend.instance().close_figures
|
|
|
try:
|
|
|
for figure_manager in Gcf.get_all_fig_managers():
|
|
|
display(figure_manager.canvas.figure)
|
|
|
finally:
|
|
|
show._to_draw = []
|
|
|
if close:
|
|
|
matplotlib.pyplot.close('all')
|
|
|
|
|
|
|
|
|
|
|
|
# This flag will be reset by draw_if_interactive when called
|
|
|
show._draw_called = False
|
|
|
# list of figures to draw when flush_figures is called
|
|
|
show._to_draw = []
|
|
|
|
|
|
|
|
|
def draw_if_interactive():
|
|
|
"""
|
|
|
Is called after every pylab drawing command
|
|
|
"""
|
|
|
# signal that the current active figure should be sent at the end of
|
|
|
# execution. Also sets the _draw_called flag, signaling that there will be
|
|
|
# something to send. At the end of the code execution, a separate call to
|
|
|
# flush_figures() will act upon these values
|
|
|
|
|
|
fig = Gcf.get_active().canvas.figure
|
|
|
|
|
|
# Hack: matplotlib FigureManager objects in interacive backends (at least
|
|
|
# in some of them) monkeypatch the figure object and add a .show() method
|
|
|
# to it. This applies the same monkeypatch in order to support user code
|
|
|
# that might expect `.show()` to be part of the official API of figure
|
|
|
# objects.
|
|
|
# For further reference:
|
|
|
# https://github.com/ipython/ipython/issues/1612
|
|
|
# https://github.com/matplotlib/matplotlib/issues/835
|
|
|
|
|
|
if not hasattr(fig, 'show'):
|
|
|
# Queue up `fig` for display
|
|
|
fig.show = lambda *a: display(fig)
|
|
|
|
|
|
# If matplotlib was manually set to non-interactive mode, this function
|
|
|
# should be a no-op (otherwise we'll generate duplicate plots, since a user
|
|
|
# who set ioff() manually expects to make separate draw/show calls).
|
|
|
if not matplotlib.is_interactive():
|
|
|
return
|
|
|
|
|
|
# ensure current figure will be drawn, and each subsequent call
|
|
|
# of draw_if_interactive() moves the active figure to ensure it is
|
|
|
# drawn last
|
|
|
try:
|
|
|
show._to_draw.remove(fig)
|
|
|
except ValueError:
|
|
|
# ensure it only appears in the draw list once
|
|
|
pass
|
|
|
# Queue up the figure for drawing in next show() call
|
|
|
show._to_draw.append(fig)
|
|
|
show._draw_called = True
|
|
|
|
|
|
|
|
|
def flush_figures():
|
|
|
"""Send all figures that changed
|
|
|
|
|
|
This is meant to be called automatically and will call show() if, during
|
|
|
prior code execution, there had been any calls to draw_if_interactive.
|
|
|
|
|
|
This function is meant to be used as a post_execute callback in IPython,
|
|
|
so user-caused errors are handled with showtraceback() instead of being
|
|
|
allowed to raise. If this function is not called from within IPython,
|
|
|
then these exceptions will raise.
|
|
|
"""
|
|
|
if not show._draw_called:
|
|
|
return
|
|
|
|
|
|
if InlineBackend.instance().close_figures:
|
|
|
# ignore the tracking, just draw and close all figures
|
|
|
try:
|
|
|
return show(True)
|
|
|
except Exception as e:
|
|
|
# safely show traceback if in IPython, else raise
|
|
|
try:
|
|
|
get_ipython
|
|
|
except NameError:
|
|
|
raise e
|
|
|
else:
|
|
|
get_ipython().showtraceback()
|
|
|
return
|
|
|
try:
|
|
|
# exclude any figures that were closed:
|
|
|
active = set([fm.canvas.figure for fm in Gcf.get_all_fig_managers()])
|
|
|
for fig in [ fig for fig in show._to_draw if fig in active ]:
|
|
|
try:
|
|
|
display(fig)
|
|
|
except Exception as e:
|
|
|
# safely show traceback if in IPython, else raise
|
|
|
try:
|
|
|
get_ipython
|
|
|
except NameError:
|
|
|
raise e
|
|
|
else:
|
|
|
get_ipython().showtraceback()
|
|
|
break
|
|
|
finally:
|
|
|
# clear flags for next round
|
|
|
show._to_draw = []
|
|
|
show._draw_called = False
|
|
|
|
|
|
|
|
|
# Changes to matplotlib in version 1.2 requires a mpl backend to supply a default
|
|
|
# figurecanvas. This is set here to a Agg canvas
|
|
|
# See https://github.com/matplotlib/matplotlib/pull/1125
|
|
|
FigureCanvas = FigureCanvasAgg
|
|
|
|
|
|
|
