8000 Added unit tests for bug fix for matplotlib#16552 · CSCD01/matplotlib-team28@f58bdfd · GitHub
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Added unit tests for bug fix for matplotlib#16552 
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‎lib/matplotlib/tests/test_axes.py

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@@ -6343,3 +6343,61 @@ def test_invisible_axes():
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assert fig.canvas.inaxes((200, 200)) is not None
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ax.set_visible(False)
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assert fig.canvas.inaxes((200, 200)) is None
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@check_figures_equal()
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def test_scatter_autoscaling_w_zero_xy(fig_test, fig_ref):
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x_vals = [0, 4.38462e-06, 5.54929e-06, 7.02332e-06, 8.88889e-06]
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y_vals = [0, 0.10000000000000002, 0.182, 0.332, 0.604]
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pts = np.array(list(itertools.product(x_vals, y_vals))) # This converts the values to a numpy array
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ax_test = fig_test.gca()
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ax_test.set_yscale('log')
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ax_test.plot(pts[:,0], pts[:,1], marker="o", ls="")
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ax_ref = fig_ref.gca()
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ax_ref.set_yscale('log')
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ax_ref.plot(pts[:,0], pts[:,1], marker="o", ls="")
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def test_scatter_autoscaling_w_zero_x(fig_test, fig_ref):
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x_vals = [0, 4.38462e-06, 5.54929e-06, 7.02332e-06, 8.88889e-06]
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y_vals = [0.10000000000000002, 0.182, 0.332, 0.604]
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pts = np.array(list(itertools.product(x_vals, y_vals))) # This converts the values to a numpy array
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ax_test = fig_test.gca()
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ax_test.set_yscale('log')
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ax_test.plot(pts[:,0], pts[:,1], marker="o", ls="")
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ax_ref = fig_ref.gca()
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ax_ref.set_yscale('log')
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ax_ref.plot(pts[:,0], pts[:,1], marker="o", ls="")
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def test_scatter_autoscaling_w_zero_y(fig_test, fig_ref):
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x_vals = [4.38462e-06, 5.54929e-06, 7.02332e-06, 8.88889e-06]
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y_vals = [0, 0.10000000000000002, 0.182, 0.332, 0.604]
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pts = np.array(list(itertools.product(x_vals, y_vals))) # This converts the values to a numpy array
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ax_test = fig_test.gca()
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ax_test.set_yscale('log')
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ax_test.plot(pts[:,0], pts[:,1], marker="o", ls="")
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ax_ref = fig_ref.gca()
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ax_ref.set_yscale('log')
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ax_ref.plot(pts[:,0], pts[:,1], marker="o", ls="")
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def test_scatter_autoscaling_wo_zero(fig_test, fig_ref):
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x_vals = [4.38462e-06, 5.54929e-06, 7.02332e-06, 8.88889e-06]
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y_vals = [0.10000000000000002, 0.182, 0.332, 0.604]
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pts = np.array(list(itertools.product(x_vals, y_vals))) # This converts the values to a numpy array
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ax_test = fig_test.gca()
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ax_test.set_yscale('log')
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ax_test.plot(pts[:,0], pts[:,1], marker="o", ls="")
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ax_ref = fig_ref.gca()
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ax_ref.set_yscale('log')
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ax_ref.plot(pts[:,0], pts[:,1], marker="o", ls="")
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