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Add support for simultaneous interactive and inline matplotlib plots....
Add support for simultaneous interactive and inline matplotlib plots. In purely svg mode, there is now no lag with draw() operations, they just produce the figure immediately. And in gui mode, a new function, 'paste', is added to plt and to the user's namespace, that pastes open figures from GUI windows into the editing widget as inline SVGs.

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r2738:95a4f176
r2987:94057a1f
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plugin.py
51 lines | 1.6 KiB | text/x-python | PythonLexer
# encoding: utf-8
"""IPython plugins.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from IPython.config.configurable import Configurable
from IPython.utils.traitlets import Dict
#-----------------------------------------------------------------------------
# Main class
#-----------------------------------------------------------------------------
class PluginManager(Configurable):
"""A manager for IPython plugins."""
plugins = Dict({})
def __init__(self, config=None):
super(PluginManager, self).__init__(config=config)
def register_plugin(self, name, plugin):
if not isinstance(plugin, Plugin):
raise TypeError('Expected Plugin, got: %r' % plugin)
if self.plugins.has_key(name):
raise KeyError('Plugin with name already exists: %r' % name)
self.plugins[name] = plugin
def unregister_plugin(self, name):
del self.plugins[name]
def get_plugin(self, name, default=None):
return self.plugins.get(name, default)
class Plugin(Configurable):
"""Base class for IPython plugins."""
pass