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backend_inline.py
73 lines | 2.3 KiB | text/x-python | PythonLexer
Fernando Perez
Fix svg rich backend to correctly show multiple figures.
r2890 """Produce SVG versions of active plots for display by the rich Qt frontend.
"""
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
Fernando Perez
Add support for simultaneous interactive and inline matplotlib plots....
r2987 from __future__ import print_function
Fernando Perez
Fix svg rich backend to correctly show multiple figures.
r2890
epatters
Initial checkin of (not yet working) matplotlib payload backend and associated machinery.
r2756 # Standard library imports
Fernando Perez
Add support for simultaneous interactive and inline matplotlib plots....
r2987 import matplotlib
epatters
Initial checkin of (not yet working) matplotlib payload backend and associated machinery.
r2756 from matplotlib.backends.backend_svg import new_figure_manager
from matplotlib._pylab_helpers import Gcf
# Local imports.
Brian Granger
Mostly final version of display data....
r3277 from IPython.core.displaypub import publish_display_data
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280 from IPython.lib.pylabtools import figure_to_svg
epatters
Initial checkin of (not yet working) matplotlib payload backend and associated machinery.
r2756
Fernando Perez
Fix svg rich backend to correctly show multiple figures.
r2890 #-----------------------------------------------------------------------------
# Functions
#-----------------------------------------------------------------------------
epatters
Initial checkin of (not yet working) matplotlib payload backend and associated machinery.
r2756
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280 def show(close=False):
Fernando Perez
Add support for simultaneous interactive and inline matplotlib plots....
r2987 """Show all figures as SVG payloads sent to the IPython clients.
Parameters
----------
close : bool, optional
If true, a ``plt.close('all')`` call is automatically issued after
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280 sending all the SVG figures. If this is set, the figures will entirely
removed from the internal list of figures.
epatters
Initial checkin of (not yet working) matplotlib payload backend and associated machinery.
r2756 """
Fernando Perez
Fix svg rich backend to correctly show multiple figures.
r2890 for figure_manager in Gcf.get_all_fig_managers():
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280 send_svg_figure(figure_manager.canvas.figure)
Fernando Perez
Add support for simultaneous interactive and inline matplotlib plots....
r2987 if close:
matplotlib.pyplot.close('all')
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280
Fernando Perez
Add support for simultaneous interactive and inline matplotlib plots....
r2987 # This flag will be reset by draw_if_interactive when called
show._draw_called = False
def draw_if_interactive():
"""
Is called after every pylab drawing command
"""
# We simply flag we were called and otherwise do nothing. At the end of
# the code execution, a separate call to show_close() will act upon this.
show._draw_called = True
def flush_svg():
"""Call show, close all open figures, sending all SVG images.
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.
"""
if show._draw_called:
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280 # Show is called with the default close=False here, otherwise, the
# Figure will be closed and not available for future plotting.
show()
Fernando Perez
Add support for simultaneous interactive and inline matplotlib plots....
r2987 show._draw_called = False
Brian Granger
Lots of work on the display system, focused on pylab stuff....
r3280
def send_svg_figure(fig):
"""Draw the current figure and send it as an SVG payload.
"""
svg = figure_to_svg(fig)
publish_display_data(
'IPython.zmq.pylab.backend_inline.send_svg_figure',
'Matplotlib Plot',
{'image/svg+xml' : svg}
)