diff --git a/galleries/examples/lines_bars_and_markers/broken_barh.py b/galleries/examples/lines_bars_and_markers/broken_barh.py
index e1550385155a..c400c67cffe4 100644
--- a/galleries/examples/lines_bars_and_markers/broken_barh.py
+++ b/galleries/examples/lines_bars_and_markers/broken_barh.py
@@ -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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