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DOC: Make colorbar tutorial examples look like colorbars. #10835

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timhoffm merged 2 commits into from
Mar 19, 2018
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DOC: Make colorbar tutorial examples look like colorbars. #10835

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DOC: Make colorbar tutorial examples look like colorbars.
efiring Mar 19, 2018
72f8295
fix a typo in the text
efiring Mar 19, 2018
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21 changes: 12 additions & 9 deletions tutorials/colors/colorbar_only.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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.

Expand All @@ -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)
Expand Down Expand Up @@ -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')
Expand All @@ -85,10 +87,11 @@
# --------------------------------------
#
# Here we illustrate the use of custom length colorbar extensions, used on a
# colorbar with discrete intervals. To make the length of each extension same
# as the length of the interior colors, use ``extendfrac='auto'``.
# colorbar with discrete intervals. To make the length of each extension the
# 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'])
Expand Down