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

Statically type OInfo. (#13973)...

Statically type OInfo. (#13973) In view of working with , some cleanup inspect to be properly typed, and using stricter datastructure. Instead of dict we now use dataclasses, this will make sure that fields type and access can be stricter and verified not only at runtime, but by mypy

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()