diff --git a/examples/lines_bars_and_markers/scatter_custom_symbol.py b/examples/lines_bars_and_markers/scatter_custom_symbol.py
index 428a68318671..b8e57b0e5e1f 100644
--- a/examples/lines_bars_and_markers/scatter_custom_symbol.py
+++ b/examples/lines_bars_and_markers/scatter_custom_symbol.py
@@ -1,18 +1,43 @@
 """
-=====================
-Scatter Custom Symbol
-=====================
-
-Creating a custom ellipse symbol in scatter plot.
+=================================
+Scatter plots with custom symbols
+=================================
 
+.. redirect-from:: /gallery/lines_bars_and_markers/scatter_symbol
+.. redirect-from:: /gallery/lines_bars_and_markers/scatter_piecharts
 """
+
+##############################################################################
+# Using TeX symbols
+# -----------------
+# An easy way to customize scatter symbols is passing a TeX symbol name
+# enclosed in $-signs as a marker. Below we use ``marker=r'$\clubsuit$'``.
+
 import matplotlib.pyplot as plt
 import numpy as np
 
-
 # Fixing random state for reproducibility
 np.random.seed(19680801)
 
+
+x = np.arange(0.0, 50.0, 2.0)
+y = x ** 1.3 + np.random.rand(*x.shape) * 30.0
+sizes = np.random.rand(*x.shape) * 800 + 500
+
+fig, ax = plt.subplots()
+ax.scatter(x, y, sizes, c="green", alpha=0.5, marker=r'$\clubsuit$',
+           label="Luck")
+ax.set_xlabel("Leprechauns")
+ax.set_ylabel("Gold")
+ax.legend()
+plt.show()
+
+##############################################################################
+# Using a custom path
+# -------------------
+# Alternatively, one can also pass a custom path of N vertices as a Nx2 array
+# of x, y values as *marker*.
+
 # unit area ellipse
 rx, ry = 3., 1.
 area = rx * ry * np.pi
diff --git a/examples/lines_bars_and_markers/scatter_piecharts.py b/examples/lines_bars_and_markers/scatter_piecharts.py
deleted file mode 100644
index 09eb1c0b6be3..000000000000
--- a/examples/lines_bars_and_markers/scatter_piecharts.py
+++ /dev/null
@@ -1,52 +0,0 @@
-"""
-===================================
-Scatter plot with pie chart markers
-===================================
-
-This example makes custom 'pie charts' as the markers for a scatter plot.
-
-Thanks to Manuel Metz for the example.
-"""
-
-import numpy as np
-import matplotlib.pyplot as plt
-
-# first define the ratios
-r1 = 0.2       # 20%
-r2 = r1 + 0.4  # 40%
-
-# define some sizes of the scatter marker
-sizes = np.array([60, 80, 120])
-
-# calculate the points of the first pie marker
-# these are just the origin (0, 0) + some (cos, sin) points on a circle
-x1 = np.cos(2 * np.pi * np.linspace(0, r1))
-y1 = np.sin(2 * np.pi * np.linspace(0, r1))
-xy1 = np.row_stack([[0, 0], np.column_stack([x1, y1])])
-s1 = np.abs(xy1).max()
-
-x2 = np.cos(2 * np.pi * np.linspace(r1, r2))
-y2 = np.sin(2 * np.pi * np.linspace(r1, r2))
-xy2 = np.row_stack([[0, 0], np.column_stack([x2, y2])])
-s2 = np.abs(xy2).max()
-
-x3 = np.cos(2 * np.pi * np.linspace(r2, 1))
-y3 = np.sin(2 * np.pi * np.linspace(r2, 1))
-xy3 = np.row_stack([[0, 0], np.column_stack([x3, y3])])
-s3 = np.abs(xy3).max()
-
-fig, ax = plt.subplots()
-ax.scatter(range(3), range(3), marker=xy1, s=s1**2 * sizes, facecolor='blue')
-ax.scatter(range(3), range(3), marker=xy2, s=s2**2 * sizes, facecolor='green')
-ax.scatter(range(3), range(3), marker=xy3, s=s3**2 * sizes, facecolor='red')
-
-plt.show()
-
-#############################################################################
-#
-# .. admonition:: References
-#
-#    The use of the following functions, methods, classes and modules is shown
-#    in this example:
-#
-#    - `matplotlib.axes.Axes.scatter` / `matplotlib.pyplot.scatter`
diff --git a/examples/lines_bars_and_markers/scatter_symbol.py b/examples/lines_bars_and_markers/scatter_symbol.py
deleted file mode 100644
index d99b6a80a740..000000000000
--- a/examples/lines_bars_and_markers/scatter_symbol.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-==============
-Scatter Symbol
-==============
-
-Scatter plot with clover symbols.
-
-"""
-import matplotlib.pyplot as plt
-import numpy as np
-
-# Fixing random state for reproducibility
-np.random.seed(19680801)
-
-
-x = np.arange(0.0, 50.0, 2.0)
-y = x ** 1.3 + np.random.rand(*x.shape) * 30.0
-s = np.random.rand(*x.shape) * 800 + 500
-
-plt.scatter(x, y, s, c="g", alpha=0.5, marker=r'$\clubsuit$',
-            label="Luck")
-plt.xlabel("Leprechauns")
-plt.ylabel("Gold")
-plt.legend(loc='upper left')
-plt.show()