예제 #1
0
def exec_core_event_loop(app):
    # This works but does not allow IPython injection
    print('[*guitools] running core application loop.')
    try:
        from IPython.lib.inputhook import enable_qt4
        enable_qt4()
        from IPython.lib.guisupport import start_event_loop_qt4
        print('Starting ipython qt4 hook')
        start_event_loop_qt4(app)
    except ImportError:
        pass
    app.exec_()
예제 #2
0
 def _enable_gui(self):
     """Enable GUI event loop integration."""
     config = self.master_config
     try:
         # Enable GUI integration
         if config.Global.wthread:
             self.log.info("Enabling wx GUI event loop integration")
             inputhook.enable_wx(app=True)
         elif config.Global.q4thread:
             self.log.info("Enabling Qt4 GUI event loop integration")
             inputhook.enable_qt4(app=True)
         elif config.Global.gthread:
             self.log.info("Enabling GTK GUI event loop integration")
             inputhook.enable_gtk(app=True)
     except:
         self.log.warn("Error in enabling GUI event loop integration:")
         self.shell.showtraceback()
예제 #3
0
Because of subtle difference in how Matplotlib handles the different GUI 
toolkits (in things like draw and show), minor modifications to this script
have to be made for Tk to get it to work with the 0.99 and below releases
of Matplotlib.  However, in the future, Matplotlib should be able to have 
similar logic for all the toolkits, as they are all now using PyOS_InputHook.
"""

import sys
import time

from  IPython.lib import inputhook

gui = inputhook.current_gui()
if gui is None:
    gui = 'qt4'
    inputhook.enable_qt4(app=True)

backends = dict(wx='wxagg', qt4='qt4agg', gtk='gtkagg', tk='tkagg')

import matplotlib
matplotlib.use(backends[gui])
matplotlib.interactive(True)

import matplotlib
from matplotlib import pyplot as plt, mlab, pylab
import numpy as np

from numpy import *
from matplotlib.pyplot import *

x = np.linspace(0,pi,500)
예제 #4
0
Because of subtle difference in how Matplotlib handles the different GUI 
toolkits (in things like draw and show), minor modifications to this script
have to be made for Tk to get it to work with the 0.99 and below releases
of Matplotlib.  However, in the future, Matplotlib should be able to have 
similar logic for all the toolkits, as they are all now using PyOS_InputHook.
"""

import sys
import time

from IPython.lib import inputhook

gui = inputhook.current_gui()
if gui is None:
    gui = 'qt4'
    inputhook.enable_qt4(app=True)

backends = dict(wx='wxagg', qt4='qt4agg', gtk='gtkagg', tk='tkagg')

import matplotlib
matplotlib.use(backends[gui])
matplotlib.interactive(True)

import matplotlib
from matplotlib import pyplot as plt, mlab, pylab
import numpy as np

from numpy import *
from matplotlib.pyplot import *

x = np.linspace(0, pi, 500)