diff --git a/examples/gallery/symbols/multi_parameter_symbols.py b/examples/gallery/symbols/multi_parameter_symbols.py
index c287235022d..6baa607f1c5 100644
--- a/examples/gallery/symbols/multi_parameter_symbols.py
+++ b/examples/gallery/symbols/multi_parameter_symbols.py
@@ -2,9 +2,9 @@
 Multi-parameter symbols
 =======================
 
-The :meth:`pygmt.Figure.plot` method can plot individual multi-parameter
-symbols by passing the corresponding shortcuts (**e**, **j**, **r**, **R**,
-**w**) to the ``style`` parameter:
+The :meth:`pygmt.Figure.plot` method can plot individual multi-parameter symbols by
+passing the corresponding shortcuts (**e**, **j**, **r**, **R**, **w**) to the ``style``
+parameter:
 
 - **e**: ellipse
 - **j**: rotated rectangle
@@ -18,10 +18,10 @@
 import pygmt
 
 # %%
-# We can plot multi-parameter symbols using the same symbol style. We need to
-# define locations (lon, lat) via the ``x`` and ``y`` parameters (scalar for
-# a single symbol or 1-D list for several ones) and two or three symbol
-# parameters after those shortcuts via the ``style`` parameter.
+# We can plot multi-parameter symbols using the same symbol style. We need to define
+# locations (lon, lat) via the ``x`` and ``y`` parameters (scalar for a single symbol or
+# 1-D list for several ones) and two or three symbol parameters after those shortcuts
+# via the ``style`` parameter.
 #
 # The multi-parameter symbols in the ``style`` parameter are defined as:
 #
@@ -30,13 +30,14 @@
 # - **r**: rectangle, ``width/height``
 # - **R**: rounded rectangle, ``width/height/radius``
 # - **w**: pie wedge, ``diameter/startdir/stopdir``, the last two arguments are
-#   directions given in degrees counter-clockwise from horizontal
+#   directions given in degrees counter-clockwise from horizontal. Append **+i** and the
+#   desired value to apply an inner diameter.
 #
-# Upper-case versions **E**, **J**, and **W** are similar to **e**, **j**, and
-# **w** but expect geographic azimuths and distances.
+# Upper-case versions **E**, **J**, and **W** are similar to **e**, **j**, and **w**
+# but expect geographic azimuths and distances.
 
 fig = pygmt.Figure()
-fig.basemap(region=[0, 6, 0, 2], projection="x3c", frame=True)
+fig.basemap(region=[0, 7, 0, 2], projection="x3c", frame=True)
 
 # Ellipse
 fig.plot(x=0.5, y=1, style="e45/3/1", fill="orange", pen="2p,black")
@@ -48,14 +49,16 @@
 fig.plot(x=4.5, y=1, style="R1.25/4/0.5", fill="seagreen", pen="2p,black")
 # Pie wedge
 fig.plot(x=5.5, y=1, style="w2.5/45/330", fill="lightgray", pen="2p,black")
+# Ring sector
+fig.plot(x=6.5, y=1, style="w2.5/45/330+i1", fill="lightgray", pen="2p,black")
 
 fig.show()
 
 # %%
-# We can also plot symbols with varying parameters via defining those values in
-# a 2-D list or numpy array (``[[parameters]]`` for a single symbol or
-# ``[[parameters_1],[parameters_2],[parameters_i]]`` for several ones) or using
-# an appropriately formatted input file and passing it to ``data``.
+# We can also plot symbols with varying parameters via defining those values in a 2-D
+# list or numpy array (``[[parameters]]`` for a single symbol or
+# ``[[parameters_1],[parameters_2],[parameters_i]]`` for several ones) or using an
+# appropriately formatted input file and passing it to ``data``.
 #
 # The symbol parameters in the 2-D list or numpy array are defined as:
 #
@@ -63,12 +66,11 @@
 # - **j**: rotated rectangle, ``[[lon, lat, direction, width, height]]``
 # - **r**: rectangle, ``[[lon, lat, width, height]]``
 # - **R**: rounded rectangle, ``[[lon, lat, width, height, radius]]``
-# - **w**: pie wedge, ``[[lon, lat, diameter, startdir, stopdir]]``, the last
-#   two arguments are directions given in degrees counter-clockwise from
-#   horizontal
+# - **w**: pie wedge, ``[[lon, lat, diameter, startdir, stopdir]]``, the last two
+#   arguments are directions given in degrees counter-clockwise from horizontal
 
 fig = pygmt.Figure()
-fig.basemap(region=[0, 6, 0, 4], projection="x3c", frame=["xa1f0.2", "ya0.5f0.1"])
+fig.basemap(region=[0, 7, 0, 4], projection="x3c", frame=["xa1f0.2", "ya0.5f0.1"])
 
 # Ellipse
 data = [[0.5, 1, 45, 3, 1], [0.5, 3, 135, 2, 1]]
@@ -85,6 +87,9 @@
 # Pie wedge
 data = [[5.5, 1, 2.5, 45, 330], [5.5, 3, 1.5, 60, 300]]
 fig.plot(data=data, style="w", fill="lightgray", pen="2p,black")
+# Ring sector
+data = [[6.5, 1, 2.5, 45, 330], [6.5, 3, 1.5, 60, 300]]
+fig.plot(data=data, style="w+i1", fill="lightgray", pen="2p,black")
 
 fig.show()