"""Implementation of magic functions for matplotlib/pylab support. """ #----------------------------------------------------------------------------- # Copyright (c) 2012 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 #----------------------------------------------------------------------------- # Our own packages from traitlets.config.application import Application from IPython.core import magic_arguments from IPython.core.magic import Magics, magics_class, line_magic from IPython.testing.skipdoctest import skip_doctest from warnings import warn #----------------------------------------------------------------------------- # Magic implementation classes #----------------------------------------------------------------------------- magic_gui_arg = magic_arguments.argument( "gui", nargs="?", help="""Name of the matplotlib backend to use such as 'qt' or 'widget'. If given, the corresponding matplotlib backend is used, otherwise it will be matplotlib's default (which you can set in your matplotlib config file). """, ) @magics_class class PylabMagics(Magics): """Magics related to matplotlib's pylab support""" @skip_doctest @line_magic @magic_arguments.magic_arguments() @magic_arguments.argument('-l', '--list', action='store_true', help='Show available matplotlib backends') @magic_gui_arg def matplotlib(self, line=''): """Set up matplotlib to work interactively. This function lets you activate matplotlib interactive support at any point during an IPython session. It does not import anything into the interactive namespace. If you are using the inline matplotlib backend in the IPython Notebook you can set which figure formats are enabled using the following:: In [1]: from matplotlib_inline.backend_inline import set_matplotlib_formats In [2]: set_matplotlib_formats('pdf', 'svg') The default for inline figures sets `bbox_inches` to 'tight'. This can cause discrepancies between the displayed image and the identical image created using `savefig`. This behavior can be disabled using the `%config` magic:: In [3]: %config InlineBackend.print_figure_kwargs = {'bbox_inches':None} In addition, see the docstrings of `matplotlib_inline.backend_inline.set_matplotlib_formats` and `matplotlib_inline.backend_inline.set_matplotlib_close` for more information on changing additional behaviors of the inline backend. Examples -------- To enable the inline backend for usage with the IPython Notebook:: In [1]: %matplotlib inline In this case, where the matplotlib default is TkAgg:: In [2]: %matplotlib Using matplotlib backend: TkAgg But you can explicitly request a different GUI backend:: In [3]: %matplotlib qt You can list the available backends using the -l/--list option:: In [4]: %matplotlib --list Available matplotlib backends: ['osx', 'qt4', 'qt5', 'gtk3', 'gtk4', 'notebook', 'wx', 'qt', 'nbagg', 'gtk', 'tk', 'inline'] """ args = magic_arguments.parse_argstring(self.matplotlib, line) if args.list: from IPython.core.pylabtools import _matplotlib_manages_backends if _matplotlib_manages_backends(): from matplotlib.backends.registry import backend_registry backends_list = backend_registry.list_all() else: from IPython.core.pylabtools import backends backends_list = list(backends.keys()) print("Available matplotlib backends: %s" % backends_list) else: gui, backend = self.shell.enable_matplotlib(args.gui.lower() if isinstance(args.gui, str) else args.gui) self._show_matplotlib_backend(args.gui, backend) @skip_doctest @line_magic @magic_arguments.magic_arguments() @magic_arguments.argument( '--no-import-all', action='store_true', default=None, help="""Prevent IPython from performing ``import *`` into the interactive namespace. You can govern the default behavior of this flag with the InteractiveShellApp.pylab_import_all configurable. """ ) @magic_gui_arg def pylab(self, line=''): """Load numpy and matplotlib to work interactively. This function lets you activate pylab (matplotlib, numpy and interactive support) at any point during an IPython session. %pylab makes the following imports:: import numpy import matplotlib from matplotlib import pylab, mlab, pyplot np = numpy plt = pyplot from IPython.display import display from IPython.core.pylabtools import figsize, getfigs from pylab import * from numpy import * If you pass `--no-import-all`, the last two `*` imports will be excluded. See the %matplotlib magic for more details about activating matplotlib without affecting the interactive namespace. """ args = magic_arguments.parse_argstring(self.pylab, line) if args.no_import_all is None: # get default from Application if Application.initialized(): app = Application.instance() try: import_all = app.pylab_import_all except AttributeError: import_all = True else: # nothing specified, no app - default True import_all = True else: # invert no-import flag import_all = not args.no_import_all gui, backend, clobbered = self.shell.enable_pylab(args.gui, import_all=import_all) self._show_matplotlib_backend(args.gui, backend) print( "%pylab is deprecated, use %matplotlib inline and import the required libraries." ) print("Populating the interactive namespace from numpy and matplotlib") if clobbered: warn("pylab import has clobbered these variables: %s" % clobbered + "\n`%matplotlib` prevents importing * from pylab and numpy" ) def _show_matplotlib_backend(self, gui, backend): """show matplotlib message backend message""" if not gui or gui == 'auto': print("Using matplotlib backend: %s" % backend)