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Backport PR #29488 on branch v3.10.x (DOC: Update broken_barh example) #29498

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Jan 22, 2025
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Backport PR #29488 on branch v3.10.x (DOC: Update broken_barh example) #29498

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43 changes: 25 additions & 18 deletions galleries/examples/lines_bars_and_markers/broken_barh.py
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Original file line number Diff line number Diff line change
@@ -1,27 +1,34 @@
"""
===========
Broken Barh
===========
======================
Broken horizontal bars
======================

Make a "broken" horizontal bar plot, i.e., one with gaps
`~.Axes.broken_barh` creates sequences of horizontal bars. This example shows
a timing diagram.
"""
import matplotlib.pyplot as plt
import numpy as np

# data is a sequence of (start, duration) tuples
cpu_1 = [(0, 3), (3.5, 1), (5, 5)]
cpu_2 = np.column_stack([np.linspace(0, 9, 10), np.full(10, 0.5)])
cpu_3 = np.column_stack([10*np.random.random(61), np.full(61, 0.05)])
cpu_4 = [(2, 1.7), (7, 1.2)]
disk = [(1, 1.5)]
network = np.column_stack([10*np.random.random(10), np.full(10, 0.05)])

# Horizontal bar plot with gaps
fig, ax = plt.subplots()
ax.broken_barh([(110, 30), (150, 10)], (10, 9), facecolors='tab:blue')
ax.broken_barh([(10, 50), (100, 20), (130, 10)], (20, 9),
facecolors=('tab:orange', 'tab:green', 'tab:red'))
ax.set_ylim(5, 35)
ax.set_xlim(0, 200)
ax.set_xlabel('seconds since start')
ax.set_yticks([15, 25], labels=['Bill', 'Jim']) # Modify y-axis tick labels
ax.grid(True) # Make grid lines visible
ax.annotate('race interrupted', (61, 25),
xytext=(0.8, 0.9), textcoords='axes fraction',
arrowprops=dict(facecolor='black', shrink=0.05),
fontsize=16,
horizontalalignment='right', verticalalignment='top')
# broken_barh(xranges, (ymin, height))
ax.broken_barh(cpu_1, (5.8, 0.4))
ax.broken_barh(cpu_2, (4.8, 0.4))
ax.broken_barh(cpu_3, (3.8, 0.4))
ax.broken_barh(cpu_4, (2.8, 0.4))
ax.broken_barh(disk, (1.8, 0.4), color="tab:orange")
ax.broken_barh(network, (0.8, 0.4), color="tab:green")
ax.set_xlim(0, 10)
ax.set_yticks([6, 5, 4, 3, 2, 1],
labels=["CPU 1", "CPU 2", "CPU 3", "CPU 4", "disk", "network"])
ax.set_title("Resource usage")

plt.show()

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