upstream/ipython Files · examples/tests/pylab_figshow.py

Merge pull request from minrk/even-more-ways-to-get-ifaces...

Merge pull request from minrk/even-more-ways-to-get-ifaces Add even more ways to populate localinterfaces use netifaces for faster IPython.utils.localinterfaces when availlable, Parse subprocess output from ifconfig / ip addr / ipconfig. Lower priority than netifaces, but still higher priority than socket.gethostbyname. Fallback to gethostname otherwise. Should be much faster in worst case scenario where machine are badly configurred and can wait up to ~30s to start ipython. Slighly slower in other cases.

Brian Granger - - Load All Authors

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      """Manual test for figure.show() in the inline matplotlib backend.

      This script should be loaded for interactive use (via %load) into a qtconsole

      or notebook initialized with the pylab inline backend.  

      Expected behavior: only *one* copy of the figure is shown.

      For further details:

      https://github.com/ipython/ipython/issues/1612

      https://github.com/matplotlib/matplotlib/issues/835

      """

      import numpy as np

      import matplotlib.pyplot as plt

      plt.ioff()                                                                      

      x = np.random.uniform(-5, 5, size=(100))

      y = np.random.uniform(-5, 5, size=(100))

      f = plt.figure()

      plt.scatter(x, y)

      plt.plot(y)

      f.show()

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				"""Manual test for figure.show() in the inline matplotlib backend.

				This script should be loaded for interactive use (via %load) into a qtconsole
				or notebook initialized with the pylab inline backend.

				Expected behavior: only one copy of the figure is shown.


				For further details:
				https://github.com/ipython/ipython/issues/1612
				https://github.com/matplotlib/matplotlib/issues/835
				"""

				import numpy as np
				import matplotlib.pyplot as plt

				plt.ioff()
				x = np.random.uniform(-5, 5, size=(100))
				y = np.random.uniform(-5, 5, size=(100))
				f = plt.figure()
				plt.scatter(x, y)
				plt.plot(y)
				f.show()