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Merged
merged 9 commits into from
May 29, 2017
Merged

Colorbar only tut #8600

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f8d96be
Convert colorbar_only example to tutorial
patniharshit May 9, 2017
d6b49b9
Move to tutorial directory
patniharshit May 9, 2017
1a2b58a
Changes in colorbar_only tutorial documentation
patniharshit May 11, 2017
a875825
Changes to colorbar_only tutorial
patniharshit May 12, 2017
c7f582c
Change how kwarg extendfrac is presented in colorbar_only tutorial
patniharshit May 12, 2017
00e7d0f
Add double backticks to extendfrac in colorbar_only tutorial
patniharshit May 12, 2017
3c19954
Add new line at the end of the file
patniharshit May 13, 2017
6ae3c6f
Call for new figure in each rst block
patniharshit May 15, 2017
2996c49
Remove a line asking to create three axes in colorbar_only tutorial
patniharshit May 15, 2017
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Call for new figure in each rst block
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@patniharshit
patniharshit committed May 15, 2017
commit 6ae3c6f77e5bc12b922baecda2c3d1be130d1dc7
39 changes: 21 additions & 18 deletions tutorials/colors/colorbar_only.py
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Expand Up @@ -16,31 +16,31 @@
colorbar.

We will start by making a figure of desired size and adding three axes.

Basic continuous colorbar
-------------------------

Set the colormap and norm to correspond to the data for which the colorbar
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>`.
"""

import matplotlib.pyplot as plt
import matplotlib as mpl

fig, (ax1, ax2, ax3) = plt.subplots(nrows=3)

###############################################################################
# Basic continuous colorbar
# -------------------------
#
# Set the colormap and norm to correspond to the data for which the colorbar
# 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>`.
fig, ax = plt.subplots()

cmap = mpl.cm.cool
norm = mpl.colors.Normalize(vmin=5, vmax=10)

cb1 = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,
cb1 = mpl.colorbar.ColorbarBase(ax, cmap=cmap,
norm=norm,
orientation='horizontal')
cb1.set_label('Some Units')
fig.show()

###############################################################################
# Discrete intervals colorbar
Expand All @@ -64,20 +64,23 @@
# *extend*, you must specify two extra boundaries. Finally spacing argument
# ensures that intervals are shown on colorbar proportionally.

fig, ax = plt.subplots()

cmap = mpl.colors.ListedColormap(['red', 'green', 'blue', 'cyan'])
cmap.set_over('0.25')
cmap.set_under('0.75')

bounds = [1, 2, 4, 7, 8]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
cb2 = mpl.colorbar.ColorbarBase(ax2, cmap=cmap,
cb2 = mpl.colorbar.ColorbarBase(ax, cmap=cmap,
norm=norm,
boundaries=[0] + bounds + [13],
extend='both',
ticks=bounds,
spacing='proportional',
orientation='horizontal')
cb2.set_label('Discrete intervals, some other units')
fig.show()

###############################################################################
# Colorbar with custom extension lengths
Expand All @@ -87,14 +90,16 @@
# colorbar with discrete intervals. To make the length of each extension same
# as the length of the interior colors, use ``extendfrac='auto'``.
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actually do you think you could make this triple backticks?

...JK, this PR looks good to me :)


fig, ax = plt.subplots()

cmap = mpl.colors.ListedColormap(['royalblue', 'cyan',
'yellow', 'orange'])
cmap.set_over('red')
cmap.set_under('blue')

bounds = [-1.0, -0.5, 0.0, 0.5, 1.0]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
cb3 = mpl.colorbar.ColorbarBase(ax3, cmap=cmap,
cb3 = mpl.colorbar.ColorbarBase(ax, cmap=cmap,
norm=norm,
boundaries=[-10] + bounds + [10],
extend='both',
Expand All @@ -103,6 +108,4 @@
spacing='uniform',
orientation='horizontal')
cb3.set_label('Custom extension lengths, some other units')

plt.tight_layout()
plt.show()
fig.show()