Regulate the Place of a Matplotlib Colorbar

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A colorbar is a bar that runs alongside the facet of a Matplotlib chart and acts as a legend for the colours proven within the chart.

Matplotlib presentations colorbars at the proper facet of a chart through default, however you’ll be able to simply alternate this through the use of purposes from the Matplotlib AxesGrid toolkit.

This instructional displays a number of examples of the way to virtue those purposes in follow.

Instance 1: Place Colorbar on Proper Facet of Chart

Please see code displays the way to generate a Matplotlib chart and the way to playground a colorbar at the proper facet of the chart:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

#build this case reproducible
np.random.seed(1)

#develop chart
fig, ax = plt.subplots()
im = ax.imshow(np.random.rand(15,15))
ax.set_xlabel('x-axis label')

#upload colour bar
fig.colorbar(im)

plt.display()

Instance 2: Place Colorbar Beneath Chart

Please see code displays the way to playground a colorbar beneath a Matplotlib chart:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

#build this case reproducible
np.random.seed(1)

#develop chart
fig, ax = plt.subplots()
im = ax.imshow(np.random.rand(15,15))
ax.set_xlabel('x-axis label')

#upload colour bar beneath chart
divider = make_axes_locatable(ax)
cax = divider.new_vertical(dimension="5%", residence=0.6, pack_start=True)
fig.add_axes(cax)
fig.colorbar(im, cax=cax, orientation='horizontal')

plt.display()

Position colorbar below Matplotlib chart

Be aware that the residence argument creates padding between the x-axis of the chart and the colorbar. The upper the price for residence, the additional away the colorbar will probably be from the x-axis.

Instance 3: Place Colorbar Above Chart

Please see code displays the way to playground a colorbar above a Matplotlib chart:

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable

#build this case reproducible
np.random.seed(1)

#develop chart
fig, ax = plt.subplots()
im = ax.imshow(np.random.rand(15,15))
ax.set_xlabel('x-axis label')

#upload colour bar beneath chart
divider = make_axes_locatable(ax)
cax = divider.new_vertical(dimension="5%", residence=0.4)
fig.add_axes(cax)
fig.colorbar(im, cax=cax, orientation='horizontal')

plt.display()

Matplotlib position colobar above chart

You’ll to find extra Matplotlib tutorials right here.

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