8000 Update watermark example · matplotlib/matplotlib@c08d4dd · GitHub
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timhoffmtimhoffm
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Update watermark example
Note: this replaces mpl-data/sample_data/logo2.png with the current logo. I think that's ok and we do not guarantee content stability of that data (internally, it's only used for the watermark example). But we could also add it as logo3.png at the cost of having 22kB more data.
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‎galleries/examples/images_contours_and_fields/watermark_image.py

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< 91AB td data-grid-cell-id="diff-0058fcb021a8ebd9293d0f0d65c18eddc5c11e265915cd19ec7c685c38acb3d7-20-24-1" data-selected="false" role="gridcell" style="background-color:var(--diffBlob-additionNum-bgColor, var(--diffBlob-addition-bgColor-num));text-align:center" tabindex="-1" valign="top" class="focusable-grid-cell diff-line-number position-relative left-side">24
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Watermark image
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===============
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Using a PNG file as a watermark.
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Overlay an image on a plot by moving it to the front (``zorder=3``) and making it
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semi-transparent (``alpha=0.7``).
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"""
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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ax.plot(np.sin(10 * np.linspace(0, 1)), '-o', ms=20, alpha=0.7, mfc='orange')
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np.random.seed(19680801)
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x = np.arange(30)
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y = np.sin(x) + x + np.random.randn(30)
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ax.bar(x, y, color='#6bbc6b')
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ax.grid()
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fig.figimage(im, 10, 10, zorder=3, alpha=.5)
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image_size = (542, 130)
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nx, ny = fig.get_size_inches() * fig.dpi
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fig.figimage(im, (nx - image_size[0]) / 2, (ny - image_size[1]) / 2, zorder=3, alpha=.7)
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plt.show()
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‎lib/matplotlib/mpl-data/sample_data/logo2.png

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