diff --git a/examples/gallery/line/linestyles.py b/examples/gallery/line/linestyles.py
index d0a1f1daa52..3b4a3d348cf 100644
--- a/examples/gallery/line/linestyles.py
+++ b/examples/gallery/line/linestyles.py
@@ -20,23 +20,36 @@
 import numpy as np
 import pygmt
 
-# Generate a sample line for plotting
-x = np.linspace(0, 10, 500)
-y = np.sin(x)
+# Generate a two-point line for plotting
+x = np.array([0, 7])
+y = np.array([9, 9])
 
 fig = pygmt.Figure()
-fig.basemap(region=[0, 10, -3, 3], projection="X15c/8c", frame=["xaf", "yaf", "WSrt"])
+fig.basemap(region=[0, 10, 0, 10], projection="X15c/8c", frame='+t"Line Styles"')
 
 # Plot the line using the default line style
 fig.plot(x=x, y=y)
-
-# Plot the lines using different line styles
-fig.plot(x=x, y=y + 1.5, pen="1p,red,-")
-fig.plot(x=x, y=y + 1.0, pen="2p,blue,.")
-fig.plot(x=x, y=y + 0.5, pen="1p,red,-.")
-
-fig.plot(x=x, y=y - 0.5, pen="2p,blue,..-")
-fig.plot(x=x, y=y - 1.0, pen="3p,tomato,--.")
-fig.plot(x=x, y=y - 1.5, pen="3p,tomato,4_2:2p")
+fig.text(x=x[-1], y=y[-1], text="solid (default)", justify="ML", offset="0.2c/0c")
+
+# Plot the line using different line styles
+for linestyle in [
+    "1p,red,-",  # dashed line
+    "1p,blue,.",  # dotted line
+    "1p,lightblue,-.",  # dash-dotted line
+    "2p,blue,..-",  # dot-dot-dashed line
+    "2p,tomato,--.",  # dash-dash-dotted line
+    "2p,tomato,4_2:2p",  # A pattern of 4-point-long line segment and 2-point-gap between segment
+]:
+    y -= 1  # Move the current line down
+    fig.plot(x=x, y=y, pen=linestyle)
+    fig.text(x=x[-1], y=y[-1], text=linestyle, justify="ML", offset="0.2c/0c")
+
+# Plot the line like a railway track (black/white).
+# The trick here is plotting the same line twice but with different line styles
+y -= 1  # move the current line down
+fig.plot(x=x, y=y, pen="5p,black")
+fig.plot(x=x, y=y, pen="4p,white,20p_20p")
+fig.text(x=x[-1], y=y[-1], text="5p,black", justify="ML", offset="0.2c/0.2c")
+fig.text(x=x[-1], y=y[-1], text="4p,white,20p_20p", justify="ML", offset="0.2c/-0.2c")
 
 fig.show()