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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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r2910:e4350871
r2987:94057a1f
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heartbeat.py
43 lines | 1.4 KiB | text/x-python | PythonLexer
"""The client and server for a basic ping-pong style heartbeat.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2010 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
#-----------------------------------------------------------------------------
import sys
from threading import Thread
import zmq
#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------
class Heartbeat(Thread):
"A simple ping-pong style heartbeat that runs in a thread."
def __init__(self, context, addr=('127.0.0.1', 0)):
Thread.__init__(self)
self.context = context
self.addr = addr
self.ip = addr[0]
self.port = addr[1]
self.daemon = True
def run(self):
self.socket = self.context.socket(zmq.REP)
if self.port == 0:
self.port = self.socket.bind_to_random_port('tcp://%s' % self.ip)
else:
self.socket.bind('tcp://%s:%i' % self.addr)
zmq.device(zmq.FORWARDER, self.socket, self.socket)