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<h1>api example code: colorbar_only.py<a class="headerlink" href="#api-example-code-colorbar-only-py" title="Permalink to this headline">¶</a></h1>

(<a class="reference external" href="../../mpl_examples/api/colorbar_only.py">Source code</a>, <a class="reference external" href="../../mpl_examples/api/colorbar_only.png">png</a>, <a class="reference external" href="../../mpl_examples/api/colorbar_only.hires.png">hires.png</a>, <a class="reference external" href="../../mpl_examples/api/colorbar_only.pdf">pdf</a>)

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<div class="highlight-default"><div class="highlight"><pre>'''

Make a colorbar as a separate figure.

'''

from matplotlib import pyplot

import matplotlib as mpl

# Make a figure and axes with dimensions as desired.

fig = pyplot.figure(figsize=(8, 3))

ax1 = fig.add_axes([0.05, 0.80, 0.9, 0.15])

ax2 = fig.add_axes([0.05, 0.475, 0.9, 0.15])

ax3 = fig.add_axes([0.05, 0.15, 0.9, 0.15])

# Set the colormap and norm to correspond to the data for which

# the colorbar will be used.

cmap = mpl.cm.cool

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

# ColorbarBase derives from ScalarMappable and puts a colorbar

# in a specified axes, so it has everything needed for a

# standalone colorbar. There are many more kwargs, but the

# following gives a basic continuous colorbar with ticks

# and labels.

cb1 = mpl.colorbar.ColorbarBase(ax1, cmap=cmap,

norm=norm,

orientation='horizontal')

cb1.set_label('Some Units')

# The second example illustrates the use of a ListedColormap, a

# BoundaryNorm, and extended ends to show the "over" and "under"

# value colors.

cmap = mpl.colors.ListedColormap(['r', 'g', 'b', 'c'])

cmap.set_over('0.25')

cmap.set_under('0.75')

# If a ListedColormap is used, the length of the bounds array must be

# one greater than the length of the color list. The bounds must be

# monotonically increasing.

bounds = [1, 2, 4, 7, 8]

norm = mpl.colors.BoundaryNorm(bounds, cmap.N)

cb2 = mpl.colorbar.ColorbarBase(ax2, cmap=cmap,

norm=norm,

# to use 'extend', you must

# specify two extra boundaries:

boundaries=[0] + bounds + [13],

extend='both',

ticks=bounds, # optional

spacing='proportional',

orientation='horizontal')

cb2.set_label('Discrete intervals, some other units')

# The third example illustrates the use of custom length colorbar

# extensions, used on a colorbar with discrete intervals.

cmap = mpl.colors.ListedColormap([[0., .4, 1.], [0., .8, 1.],

[1., .8, 0.], [1., .4, 0.]])

cmap.set_over((1., 0., 0.))

cmap.set_under((0., 0., 1.))

bounds = [-1., -.5, 0., .5, 1.]

norm = mpl.colors.BoundaryNorm(bounds, cmap.N)

cb3 = mpl.colorbar.ColorbarBase(ax3, cmap=cmap,

norm=norm,

boundaries=[-10] + bounds + [10],

extend='both',

# Make the length of each extension

# the same as the length of the

# interior colors:

extendfrac='auto',

ticks=bounds,

spacing='uniform',

orientation='horizontal')

cb3.set_label('Custom extension lengths, some other units')

pyplot.show()

</pre></div>

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