diff --git a/galleries/examples/scales/asinh_demo.py b/galleries/examples/scales/asinh_demo.py
index a464d4546ea8..bc8b010c47ce 100644
--- a/galleries/examples/scales/asinh_demo.py
+++ b/galleries/examples/scales/asinh_demo.py
@@ -1,7 +1,7 @@
 """
-============
-Asinh Demo
-============
+===========
+Asinh scale
+===========
 
 Illustration of the `asinh <.scale.AsinhScale>` axis scaling,
 which uses the transformation
diff --git a/galleries/examples/scales/log_bar.py b/galleries/examples/scales/log_bar.py
deleted file mode 100644
index 239069806c5c..000000000000
--- a/galleries/examples/scales/log_bar.py
+++ /dev/null
@@ -1,29 +0,0 @@
-"""
-=======
-Log Bar
-=======
-
-Plotting a bar chart with a logarithmic y-axis.
-"""
-import matplotlib.pyplot as plt
-import numpy as np
-
-data = ((3, 1000), (10, 3), (100, 30), (500, 800), (50, 1))
-
-dim = len(data[0])
-w = 0.75
-dimw = w / dim
-
-fig, ax = plt.subplots()
-x = np.arange(len(data))
-for i in range(len(data[0])):
-    y = [d[i] for d in data]
-    b = ax.bar(x + i * dimw, y, dimw, bottom=0.001)
-
-ax.set_xticks(x + dimw / 2, labels=map(str, x))
-ax.set_yscale('log')
-
-ax.set_xlabel('x')
-ax.set_ylabel('y')
-
-plt.show()
diff --git a/galleries/examples/scales/logit_demo.py b/galleries/examples/scales/logit_demo.py
index a21abf5b64fb..22a56433ccd7 100644
--- a/galleries/examples/scales/logit_demo.py
+++ b/galleries/examples/scales/logit_demo.py
@@ -1,7 +1,7 @@
 """
-================
-Logit Demo
-================
+===========
+Logit scale
+===========
 
 Examples of plots with logit axes.
 """
diff --git a/galleries/examples/scales/scales.py b/galleries/examples/scales/scales.py
index 8df4d2fdd4a9..e932609bb7f9 100644
--- a/galleries/examples/scales/scales.py
+++ b/galleries/examples/scales/scales.py
@@ -1,7 +1,7 @@
 """
-======
-Scales
-======
+===============
+Scales overview
+===============
 
 Illustrate the scale transformations applied to axes, e.g. log, symlog, logit.