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DOC: Plot discrete colormap with proportional colorbar #1930

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Merged
merged 7 commits into from
Feb 27, 2018
Merged

DOC: Plot discrete colormap with proportional colorbar #1930

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40211a4
Plot discrete colormap with proportional colorbar
paulvija Feb 21, 2018
edb362f
Fixing style errors.
stickler-ci Feb 21, 2018
3136bd5
Fixing style errors.
stickler-ci Feb 21, 2018
f8c040e
Fixed the line-length issue
paulvija Feb 22, 2018
7c0368a
added absolute_import
paulvija Feb 22, 2018
00dc729
Updated script with changes requested
paulvija Feb 26, 2018
dd834f8
Cosmetic changes
fmaussion Feb 27, 2018
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31 changes: 31 additions & 0 deletions doc/gallery/control_plot_colorbar.py
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# -*- coding: utf-8 -*-
"""
===========================
Control the plot's colorbar
===========================

Use ``cbar_kwargs`` keyword to specify the number of ticks.
The ``spacing`` kwarg can be used to draw proportional ticks.
"""
import xarray as xr
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W1618 import missing from __future__ import absolute_import

import matplotlib.pyplot as plt

# Load the data
air_temp = xr.tutorial.load_dataset('air_temperature')
air2d = air_temp.air.isel(time=500)

# Prepare the figure
f, (ax1, ax2, ax3) = plt.subplots(1, 3, figsize=(14, 4))

# Irregular levels to illustrate the use of a proportional colorbar
levels = [245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 310, 340]

# Plot data
air2d.plot(ax=ax1, levels=levels)
air2d.plot(ax=ax2, levels=levels, cbar_kwargs={'ticks': levels})
air2d.plot(ax=ax3, levels=levels, cbar_kwargs={'ticks': levels,
'spacing': 'proportional'})

# Show plots
plt.tight_layout()
plt.show()