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Commit 3add532

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TST: add test for re-normalizing image
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‎lib/matplotlib/tests/test_colorbar.py

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@@ -7,6 +7,7 @@
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from matplotlib.colors import BoundaryNorm, LogNorm, PowerNorm
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from matplotlib.cm import get_cmap
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from matplotlib.colorbar import ColorbarBase
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from matplotlib.ticker import LogLocator, LogFormatter
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def _get_cmap_norms():
@@ -411,3 +412,27 @@ def test_colorbar_log_minortick_labels():
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r'$\mathdefault{4\times10^{4}}$']
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for l, exp in zip(lb, expected):
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assert l.get_text() == exp
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def test_colorbar_renorm():
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x, y = np.ogrid[-4:4:31j, -4:4:31j]
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z = 120000*np.exp(-x**2 - y**2)
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fig, ax = plt.subplots()
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im = ax.imshow(z)
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cbar = fig.colorbar(im)
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norm = LogNorm(z.min(), z.max())
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im.set_norm(norm)
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cbar.set_norm(norm)
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cbar.locator = LogLocator()
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cbar.formatter = LogFormatter()
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cbar.update_normal(im)
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assert np.isclose(cbar.vmin, z.min())
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norm = LogNorm(z.min() * 1000, z.max() * 1000)
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im.set_norm(norm)
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cbar.set_norm(norm)
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cbar.update_normal(im)
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assert np.isclose(cbar.vmin, z.min() * 1000)
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assert np.isclose(cbar.vmax, z.max() * 1000)

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