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DOC: Minor improvement on broken_barh()
Follow-up to matplotlib#29488. It's simpler to count upwards and use `invert_yaxis()` to order top-to-bottom rather than counting backwards
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‎galleries/examples/lines_bars_and_markers/broken_barh.py‎

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fig, ax = plt.subplots()
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# broken_barh(xranges, (ymin, height))
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ax.broken_barh(cpu_1, (5.8, 0.4))
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ax.broken_barh(cpu_2, (4.8, 0.4))
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ax.broken_barh(cpu_3, (3.8, 0.4))
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ax.broken_barh(cpu_1, (-0.2, 0.4))
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ax.broken_barh(cpu_2, (0.8, 0.4))
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ax.broken_barh(cpu_3, (1.8, 0.4))
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ax.broken_barh(cpu_4, (2.8, 0.4))
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ax.broken_barh(disk, (1.8, 0.4), color="tab:orange")
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ax.broken_barh(network, (0.8, 0.4), color="tab:green")
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ax.broken_barh(disk, (3.8, 0.4), color="tab:orange")
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ax.broken_barh(network, (4.8, 0.4), color="tab:green")
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ax.set_xlim(0, 10)
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ax.set_yticks([6, 5, 4, 3, 2, 1],
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ax.set_yticks(range(6),
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labels=["CPU 1", "CPU 2", "CPU 3", "CPU 4", "disk", "network"])
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ax.invert_yaxis()
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ax.set_title("Resource usage")
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plt.show()
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# %%
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#
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# .. admonition:: References
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#
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# The use of the following functions, methods, classes and modules is shown
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# in this example:
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#
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# - `matplotlib.axes.Axes.broken_barh` / `matplotlib.pyplot.broken_barh`
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# - `matplotlib.axes.Axes.invert_yaxis`
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# - `matplotlib.axes.Axes.set_yticks`
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#
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# .. tags::
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#
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# component: annotation

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