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Commit92aa1a3

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DOC: Update broken_barh example
IMHO this is more realistic and better looking.I've always been wondering what the previous plot should mean.Note: There's precedence for a similar special-casing on polar Axes for errorbars:https://github.com/matplotlib/matplotlib/blob/3fb9c0961b5c8d5753c88ac37c08cda58a4b7839/lib/matplotlib/axes/_axes.py#L3798
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‎galleries/examples/lines_bars_and_markers/broken_barh.py

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"""
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===========
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BrokenBarh
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===========
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======================
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Brokenhorizontal bars
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======================
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Make a "broken" horizontal bar plot, i.e., one with gaps
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`~.Axes.broken_barh` creates sequences of horizontal bars. These are for example
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used for timing diagrams.
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"""
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importmatplotlib.pyplotasplt
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importnumpyasnp
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# data is a sequence of (start, duration) tuples
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cpu_1= [(0,3), (3.5,1), (5,5)]
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cpu_2=np.column_stack([np.linspace(0,9,10),np.full(10,0.5)])
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cpu_3=np.column_stack([10*np.random.random(61),np.full(61,0.05)])
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cpu_4= [(2,1.7), (7,1.2)]
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disk= [(1,1.5)]
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network=np.column_stack([10*np.random.random(10),np.full(10,0.05)])
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# Horizontal bar plot with gaps
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fig,ax=plt.subplots()
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ax.broken_barh([(110,30), (150,10)], (10,9),facecolors='tab:blue')
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ax.broken_barh([(10,50), (100,20), (130,10)], (20,9),
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facecolors=('tab:orange','tab:green','tab:red'))
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ax.set_ylim(5,35)
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ax.set_xlim(0,200)
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ax.set_xlabel('seconds since start')
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ax.set_yticks([15,25],labels=['Bill','Jim'])# Modify y-axis tick labels
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ax.grid(True)# Make grid lines visible
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ax.annotate('race interrupted', (61,25),
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xytext=(0.8,0.9),textcoords='axes fraction',
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arrowprops=dict(facecolor='black',shrink=0.05),
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fontsize=16,
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horizontalalignment='right',verticalalignment='top')
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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_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.set_xlim(0,10)
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ax.set_yticks([6,5,4,3,2,1],
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labels=["CPU 1","CPU 2","CPU 3","CPU 4","disk","network"])
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ax.set_title("Resource usage")
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plt.show()
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