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# -*- coding: utf-8 -*-
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"""Pylab (matplotlib) support utilities.
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Authors
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-------
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Fernando Perez.
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"""
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#-----------------------------------------------------------------------------
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# Copyright (C) 2009 The IPython Development Team
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#
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# Distributed under the terms of the BSD License. The full license is in
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# the file COPYING, distributed as part of this software.
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#-----------------------------------------------------------------------------
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#-----------------------------------------------------------------------------
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# Imports
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#-----------------------------------------------------------------------------
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from IPython.utils.genutils import flag_calls
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#-----------------------------------------------------------------------------
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# Main classes and functions
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#-----------------------------------------------------------------------------
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def pylab_activate(user_ns, gui=None, import_all=True):
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"""Activate pylab mode in the user's namespace.
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Loads and initializes numpy, matplotlib and friends for interactive use.
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Parameters
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----------
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user_ns : dict
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Namespace where the imports will occur.
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gui : optional, string
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A valid gui name following the conventions of the %gui magic.
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import_all : optional, boolean
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If true, an 'import *' is done from numpy and pylab.
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Returns
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-------
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The actual gui used (if not given as input, it was obtained from matplotlib
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itself, and will be needed next to configure IPython's gui integration.
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"""
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# Initialize matplotlib to interactive mode always
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import matplotlib
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# If user specifies a GUI, that dictates the backend, otherwise we read the
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# user's mpl default from the mpl rc structure
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g2b = {'tk': 'TkAgg',
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'gtk': 'GTKAgg',
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'wx': 'WXAgg',
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'qt': 'Qt4Agg', # qt3 not supported
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'qt4': 'Qt4Agg' }
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if gui:
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# select backend based on requested gui
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backend = g2b[gui]
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else:
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backend = matplotlib.rcParams['backend']
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# In this case, we need to find what the appropriate gui selection call
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# should be for IPython, so we can activate inputhook accordingly
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b2g = dict(zip(g2b.values(),g2b.keys()))
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gui = b2g[backend]
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# We must set the desired backend before importing pylab
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matplotlib.use(backend)
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# This must be imported last in the matplotlib series, after
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# backend/interactivity choices have been made
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import matplotlib.pylab as pylab
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# XXX For now leave this commented out, but depending on discussions with
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# mpl-dev, we may be able to allow interactive switching...
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#import matplotlib.pyplot
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#matplotlib.pyplot.switch_backend(backend)
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pylab.show._needmain = False
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# We need to detect at runtime whether show() is called by the user.
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# For this, we wrap it into a decorator which adds a 'called' flag.
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pylab.draw_if_interactive = flag_calls(pylab.draw_if_interactive)
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# Import numpy as np/pyplot as plt are conventions we're trying to
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# somewhat standardize on. Making them available to users by default
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# will greatly help this.
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exec ("import numpy\n"
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"import matplotlib\n"
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"from matplotlib import pylab, mlab, pyplot\n"
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"np = numpy\n"
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"plt = pyplot\n"
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) in user_ns
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if import_all:
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exec("from matplotlib.pylab import *\n"
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"from numpy import *\n") in user_ns
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matplotlib.interactive(True)
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print """
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Welcome to pylab, a matplotlib-based Python environment [backend: %s].
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For more information, type 'help(pylab)'.""" % backend
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return gui
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# We need a little factory function here to create the closure where
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# safe_execfile can live.
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def mpl_runner(safe_execfile):
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"""Factory to return a matplotlib-enabled runner for %run.
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Parameters
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----------
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safe_execfile : function
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This must be a function with the same interface as the
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:meth:`safe_execfile` method of IPython.
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Returns
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-------
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A function suitable for use as the ``runner`` argument of the %run magic
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function.
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"""
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def mpl_execfile(fname,*where,**kw):
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"""matplotlib-aware wrapper around safe_execfile.
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Its interface is identical to that of the :func:`execfile` builtin.
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This is ultimately a call to execfile(), but wrapped in safeties to
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properly handle interactive rendering."""
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import matplotlib
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import matplotlib.pylab as pylab
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#print '*** Matplotlib runner ***' # dbg
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# turn off rendering until end of script
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is_interactive = matplotlib.rcParams['interactive']
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matplotlib.interactive(False)
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safe_execfile(fname,*where,**kw)
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matplotlib.interactive(is_interactive)
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# make rendering call now, if the user tried to do it
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if pylab.draw_if_interactive.called:
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pylab.draw()
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pylab.draw_if_interactive.called = False
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return mpl_execfile
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