matplotlib
diff --git a/‎tutorials/colors/colorbar_only.py
Copy file name to clipboardExpand all lines: tutorials/colors/colorbar_only.py
+10-7Lines changed: 10 additions & 7 deletions b/‎tutorials/colors/colorbar_only.py
Copy file name to clipboardExpand all lines: tutorials/colors/colorbar_only.py
+10-7Lines changed: 10 additions & 7 deletions
@@ -10,8 +10,8 @@
 
 :class:`~matplotlib.colorbar.ColorbarBase` derives from
 :mod:`~matplotlib.cm.ScalarMappable` and puts a colorbar in a specified axes,
-so it has everything needed for a standalone colorbar. It can be used as is to
-make a colorbar for a given colormap and does not need a mappable object like
+so it has everything needed for a standalone colorbar. It can be used as-is to
+make a colorbar for a given colormap; it does not need a mappable object like
 an image. In this tutorial we will explore what can be done with standalone
 colorbar.
 
@@ -22,14 +22,15 @@
 will be used. Then create the colorbar by calling
 :class:`~matplotlib.colorbar.ColorbarBase` and specify axis, colormap, norm
 and orientation as parameters. Here we create a basic continuous colorbar
-with ticks and labels. More information on colorbar api can be found
-`here <https://matplotlib.org/api/colorbar_api.html>`.
+with ticks and labels. More information on the colorbar API can be found
+`here <https://matplotlib.org/api/colorbar_api.html>`_.
 """
 
 import matplotlib.pyplot as plt
 import matplotlib as mpl
 
-fig, ax = plt.subplots()
+fig, ax = plt.subplots(figsize=(6, 1))
+fig.subplots_adjust(bottom=0.5)
 
 cmap = mpl.cm.cool
 norm = mpl.colors.Normalize(vmin=5, vmax=10)
@@ -62,7 +63,8 @@
 # *extend*, you must specify two extra boundaries. Finally spacing argument
 # ensures that intervals are shown on colorbar proportionally.
 
-fig, ax = plt.subplots()
+fig, ax = plt.subplots(figsize=(6, 1))
+fig.subplots_adjust(bottom=0.5)
 
 cmap = mpl.colors.ListedColormap(['red', 'green', 'blue', 'cyan'])
 cmap.set_over('0.25')
@@ -88,7 +90,8 @@
 # colorbar with discrete intervals. To make the length of each extension same
 # as the length of the interior colors, use ``extendfrac='auto'``.
 
-fig, ax = plt.subplots()
+fig, ax = plt.subplots(figsize=(6, 1))
+fig.subplots_adjust(bottom=0.5)
 
 cmap = mpl.colors.ListedColormap(['royalblue', 'cyan',
                                   'yellow', 'orange'])