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"""Implementation of magic functions for matplotlib/pylab support.
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"""
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from __future__ import print_function
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#-----------------------------------------------------------------------------
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# Copyright (c) 2012 The IPython Development Team.
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#
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# Distributed under the terms of the Modified BSD License.
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#
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# The full license is in the file COPYING.txt, distributed with this software.
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#-----------------------------------------------------------------------------
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#-----------------------------------------------------------------------------
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# Imports
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#-----------------------------------------------------------------------------
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# Our own packages
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from traitlets.config.application import Application
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from IPython.core import magic_arguments
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from IPython.core.magic import Magics, magics_class, line_magic
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from IPython.testing.skipdoctest import skip_doctest
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from IPython.utils.warn import warn
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from IPython.core.pylabtools import backends
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#-----------------------------------------------------------------------------
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# Magic implementation classes
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#-----------------------------------------------------------------------------
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magic_gui_arg = magic_arguments.argument(
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'gui', nargs='?',
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help="""Name of the matplotlib backend to use %s.
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If given, the corresponding matplotlib backend is used,
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otherwise it will be matplotlib's default
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(which you can set in your matplotlib config file).
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""" % str(tuple(sorted(backends.keys())))
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)
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@magics_class
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class PylabMagics(Magics):
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"""Magics related to matplotlib's pylab support"""
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@skip_doctest
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@line_magic
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@magic_arguments.magic_arguments()
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@magic_arguments.argument('-l', '--list', action='store_true',
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help='Show available matplotlib backends')
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@magic_gui_arg
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def matplotlib(self, line=''):
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"""Set up matplotlib to work interactively.
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This function lets you activate matplotlib interactive support
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at any point during an IPython session. It does not import anything
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into the interactive namespace.
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If you are using the inline matplotlib backend in the IPython Notebook
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you can set which figure formats are enabled using the following::
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In [1]: from IPython.display import set_matplotlib_formats
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In [2]: set_matplotlib_formats('pdf', 'svg')
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The default for inline figures sets `bbox_inches` to 'tight'. This can
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cause discrepancies between the displayed image and the identical
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image created using `savefig`. This behavior can be disabled using the
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`%config` magic::
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In [3]: %config InlineBackend.print_figure_kwargs = {'bbox_inches':None}
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In addition, see the docstring of
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`IPython.display.set_matplotlib_formats` and
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`IPython.display.set_matplotlib_close` for more information on
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changing additional behaviors of the inline backend.
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Examples
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--------
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To enable the inline backend for usage with the IPython Notebook::
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In [1]: %matplotlib inline
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In this case, where the matplotlib default is TkAgg::
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In [2]: %matplotlib
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Using matplotlib backend: TkAgg
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But you can explicitly request a different GUI backend::
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In [3]: %matplotlib qt
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You can list the available backends using the -l/--list option::
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In [4]: %matplotlib --list
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Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'notebook', 'wx', 'qt', 'nbagg',
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'gtk', 'tk', 'inline']
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"""
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args = magic_arguments.parse_argstring(self.matplotlib, line)
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if args.list:
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backends_list = list(backends.keys())
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print("Available matplotlib backends: %s" % backends_list)
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else:
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gui, backend = self.shell.enable_matplotlib(args.gui)
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self._show_matplotlib_backend(args.gui, backend)
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@skip_doctest
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@line_magic
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@magic_arguments.magic_arguments()
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@magic_arguments.argument(
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'--no-import-all', action='store_true', default=None,
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help="""Prevent IPython from performing ``import *`` into the interactive namespace.
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You can govern the default behavior of this flag with the
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InteractiveShellApp.pylab_import_all configurable.
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"""
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)
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@magic_gui_arg
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def pylab(self, line=''):
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"""Load numpy and matplotlib to work interactively.
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This function lets you activate pylab (matplotlib, numpy and
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interactive support) at any point during an IPython session.
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%pylab makes the following imports::
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import numpy
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import matplotlib
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from matplotlib import pylab, mlab, pyplot
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np = numpy
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plt = pyplot
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from IPython.display import display
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from IPython.core.pylabtools import figsize, getfigs
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from pylab import *
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from numpy import *
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If you pass `--no-import-all`, the last two `*` imports will be excluded.
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See the %matplotlib magic for more details about activating matplotlib
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without affecting the interactive namespace.
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"""
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args = magic_arguments.parse_argstring(self.pylab, line)
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if args.no_import_all is None:
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# get default from Application
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if Application.initialized():
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app = Application.instance()
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try:
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import_all = app.pylab_import_all
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except AttributeError:
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import_all = True
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else:
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# nothing specified, no app - default True
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import_all = True
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else:
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# invert no-import flag
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import_all = not args.no_import_all
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gui, backend, clobbered = self.shell.enable_pylab(args.gui, import_all=import_all)
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self._show_matplotlib_backend(args.gui, backend)
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print ("Populating the interactive namespace from numpy and matplotlib")
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if clobbered:
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warn("pylab import has clobbered these variables: %s" % clobbered +
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"\n`%matplotlib` prevents importing * from pylab and numpy"
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)
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def _show_matplotlib_backend(self, gui, backend):
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"""show matplotlib message backend message"""
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if not gui or gui == 'auto':
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print("Using matplotlib backend: %s" % backend)
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