upstream/ipython Files · IPython/zmq/displayhook.py

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.

Brian Granger - - Load All Authors

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             displayhook.py
        
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      import __builtin__

      from session import extract_header

      class DisplayHook(object):

          def __init__(self, session, pub_socket):

              self.session = session

              self.pub_socket = pub_socket

              self.parent_header = {}

          def __call__(self, obj):

              if obj is None:

                  return

              __builtin__._ = obj

              msg = self.session.msg(u'pyout', {u'data':repr(obj)},

                                     parent=self.parent_header)

              self.pub_socket.send_json(msg)

          def set_parent(self, parent):

              self.parent_header = extract_header(parent)

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				import __builtin__

				from session import extract_header

				class DisplayHook(object):

				def __init__(self, session, pub_socket):
				self.session = session
				self.pub_socket = pub_socket
				self.parent_header = {}

				def __call__(self, obj):
				if obj is None:
				return

				__builtin__._ = obj
				msg = self.session.msg(u'pyout', {u'data':repr(obj)},
				parent=self.parent_header)
				self.pub_socket.send_json(msg)

				def set_parent(self, parent):
				self.parent_header = extract_header(parent)