diff --git a/doc/pyplots/pyplot_scales.py b/doc/pyplots/pyplot_scales.py
@@ -1,6 +1,8 @@
 import numpy as np
 import matplotlib.pyplot as plt
 
+from matplotlib.ticker import NullFormatter  # useful for `logit` scale
+
 # make up some data in the interval ]0, 1[
 y = np.random.normal(loc=0.5, scale=0.4, size=1000)
 y = y[(y > 0) & (y < 1)]
@@ -29,7 +31,7 @@
 # symmetric log
 plt.subplot(223)
 plt.plot(x, y - y.mean())
-plt.yscale('symlog', linthreshy=0.05)
+plt.yscale('symlog', linthreshy=0.01)
 plt.title('symlog')
 plt.grid(True)
 
@@ -39,5 +41,12 @@
 plt.yscale('logit')
 plt.title('logit')
 plt.grid(True)
+# Format the minor tick labels of the y-axis into empty string with
+# the `NullFormatter`, to avoid cumbering it with too many labels.
+plt.gca().yaxis.set_minor_formatter(NullFormatter())
+# Adjust the subplot layout, because the logit one may take more space than
+# usual, due to y-tick labels like "1 - 10^3"
+plt.subplots_adjust(top=0.92, bottom=0.08, left=0.10, right=0.95, hspace=0.25,
+                    wspace=0.35)
 
 plt.show()