Expand histogram gallery example to show usage of pattern as fill

examples/gallery/histograms/histogram.py

@@ -4,7 +4,8 @@
 The :meth:`pygmt.Figure.histogram` method can plot regular histograms.
 Using the ``series`` parameter allows to set the interval for the width of
 each bar. The type of the histogram (frequency count or percentage) can be
-selected via the ``histtype`` parameter.
+selected via the ``histtype`` parameter. The ``fill`` of the
+bars can be either a color or a pattern.
 """
 
 import numpy as np
@@ -19,19 +20,39 @@
 
 fig = pygmt.Figure()
 
-fig.histogram(
-    data=data,
-    # Define the frame, add a title, and set the background color to
-    # "lightgray". Add labels to the x-axis and y-axis
-    frame=["WSne+tHistogram+glightgray", "x+lElevation (m)", "y+lCounts"],
-    # Generate evenly spaced bins by increments of 5
-    series=5,
-    # Use "red3" as color fill for the bars
-    fill="red3",
-    # Use the pen parameter to draw the outlines with a width of 1 point
-    pen="1p",
-    # Choose histogram type 0, i.e., counts [Default]
-    histtype=0,
-)
+with fig.subplot(
+    nrows=1,
+    ncols=2,
+    figsize=("13.5c", "5c"),
+    title="Histograms",
+):
+    with fig.set_panel(panel=0):
+        fig.histogram(
+            data=data,
+            # Define the frame and set background color to "lightgray",
+            # add labels for x and y axes
+            frame=["WSne+glightgray", "x+lElevation in m", "y+lCounts"],
+            # Generate evenly spaced bins by increments of 5
+            series=5,
+            # Use "red3" as color fill for the bars
+            fill="red3",
+            # Use a pen thickness of 1 point to draw the outlines
+            pen="1p",
+            # Choose histogram type 0, i.e., counts [Default]
+            histtype=0,
+        )
+
+    with fig.set_panel(panel=1):
+        fig.histogram(
+            data=data,
+            frame=["wSne+glightgray", "x+lElevation in m"],
+            series=5,
+            # Use pattern (p) number 8 as fill for the bars
+            # with "lightblue" as background color (+b) and
+            # "black" as foreground color (+f)
+            fill="p8+blightblue+fblack",
+            pen="1p",
+            histtype=0,
+        )
 
 fig.show()