upstream/ipython Files · IPython/config/profile/ipython_config_numeric.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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             ipython_config_numeric.py
        
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      c = get_config()

      # This can be used at any point in a config file to load a sub config

      # and merge it into the current one.

      load_subconfig('ipython_config.py')

      lines = """

      import numpy

      import scipy

      import numpy as np

      import scipy as sp

      """

      # You have to make sure that attributes that are containers already

      # exist before using them.  Simple assigning a new list will override

      # all previous values.

      if hasattr(c.Global, 'exec_lines'):

          c.Global.exec_lines.append(lines)

      else:

          c.Global.exec_lines = [lines]

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				c = get_config()

				# This can be used at any point in a config file to load a sub config
				# and merge it into the current one.
				load_subconfig('ipython_config.py')

				lines = """
				import numpy
				import scipy
				import numpy as np
				import scipy as sp
				"""

				# You have to make sure that attributes that are containers already
				# exist before using them. Simple assigning a new list will override
				# all previous values.
				if hasattr(c.Global, 'exec_lines'):
				c.Global.exec_lines.append(lines)
				else:
				c.Global.exec_lines = [lines]