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Merge pull request #2232 from takluyver/i1456...
Merge pull request #2232 from takluyver/i1456 Reapply monkeypatch to inspect.findsource()

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pylab.py
88 lines | 3.2 KiB | text/x-python | PythonLexer
Fernando Perez
Create core.magics.pylab according to new API.
r6968 """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 IPython.config.application import Application
Fernando Perez
Renamed @register_magics to @magics_class to avoid confusion....
r6973 from IPython.core.magic import Magics, magics_class, line_magic
Fernando Perez
Create core.magics.pylab according to new API.
r6968 from IPython.testing.skipdoctest import skip_doctest
#-----------------------------------------------------------------------------
# Magic implementation classes
#-----------------------------------------------------------------------------
Fernando Perez
Renamed @register_magics to @magics_class to avoid confusion....
r6973 @magics_class
Fernando Perez
Create core.magics.pylab according to new API.
r6968 class PylabMagics(Magics):
"""Magics related to matplotlib's pylab support"""
@skip_doctest
@line_magic
def pylab(self, parameter_s=''):
"""Load numpy and matplotlib to work interactively.
%pylab [GUINAME]
This function lets you activate pylab (matplotlib, numpy and
interactive support) at any point during an IPython session.
It will import at the top level numpy as np, pyplot as plt, matplotlib,
pylab and mlab, as well as all names from numpy and pylab.
If you are using the inline matplotlib backend for embedded figures,
you can adjust its behavior via the %config magic::
# enable SVG figures, necessary for SVG+XHTML export in the qtconsole
In [1]: %config InlineBackend.figure_format = 'svg'
# change the behavior of closing all figures at the end of each
# execution (cell), or allowing reuse of active figures across
# cells:
In [2]: %config InlineBackend.close_figures = False
Parameters
----------
guiname : optional
One of the valid arguments to the %gui magic ('qt', 'wx', 'gtk',
'osx' or 'tk'). If given, the corresponding Matplotlib backend is
used, otherwise matplotlib's default (which you can override in your
matplotlib config file) is used.
Examples
--------
In this case, where the MPL default is TkAgg::
In [2]: %pylab
Welcome to pylab, a matplotlib-based Python environment.
Backend in use: TkAgg
For more information, type 'help(pylab)'.
But you can explicitly request a different backend::
In [3]: %pylab qt
Welcome to pylab, a matplotlib-based Python environment.
Backend in use: Qt4Agg
For more information, type 'help(pylab)'.
"""
if Application.initialized():
app = Application.instance()
try:
import_all_status = app.pylab_import_all
except AttributeError:
import_all_status = True
else:
import_all_status = True
self.shell.enable_pylab(parameter_s, import_all=import_all_status)