upstream/ipython Files · tools/tests/inline_figshow.py

Fix broken links on install/index.rst...

Fix broken links on install/index.rst Currently the links in the section summary on the index.rst/index.html file are broken. Can be reproduced by going to http://ipython.readthedocs.io/en/stable/install/index.html and clicking on *installing IPython itself*, or *kernels for Jupyter* links. Specific changes ---------------- * Added a reference label to the `install.rst` file * Modified links from external link format to Sphinx arbitrary location cross-referencing format in the `index.rst` file Testing ------- Changes have been tested with a local sphinx build through the supplied makefile and specific links touched are fixed. Tested a few possibly overlapping links (Jupyter:install for instance) and they seem to be unaffected by the change.

Brian E. 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 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 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()