matplotlib change size of subplots

Question

I try to make a figure with different subplots. In the example the left panel is an imshow image and it is a bit too small. How could I enlarge ax1? In order to have the colorbar at the level of the x-axes of ax2 and ax3?

The code and output is:

import matplotlib.pyplot as plt
import numpy as np


fig=plt.figure(figsize=(15,5.5))
ax1=plt.subplot2grid((1,3),(0,0))
ax2=plt.subplot2grid((1,3),(0,1))
ax3=plt.subplot2grid((1,3),(0,2))


image=np.random.random_integers(1,10,size=(100,100))
cax=ax1.imshow(image,interpolation="none",aspect='equal')
cbar=fig.colorbar(cax,ax=ax1,orientation=u'horizontal')

x=np.linspace(0,1)
ax2.plot(x,x**2)
ax3.plot(x,x**3)

plt.show()

enter image description here

Community · Accepted Answer · 2017-05-23 10:26:52Z

4

Taking a cue from this answer, you can adjust the layout of your colorbar with AxisDivider.

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

fig=plt.figure(figsize=(15,5.5))
ax1=plt.subplot2grid((1,3),(0,0))
ax2=plt.subplot2grid((1,3),(0,1))
ax3=plt.subplot2grid((1,3),(0,2))

image=np.random.random_integers(1,10,size=(100,100))
im = ax1.imshow(image,interpolation="none",aspect='equal')

divider = make_axes_locatable(ax1)
cax = divider.append_axes("bottom",size="5%",pad=0.7)
cbar=fig.colorbar(im,cax=cax,orientation=u'horizontal')

x=np.linspace(0,1)
ax2.plot(x,x**2)
ax3.plot(x,x**3)

plt.show()

enter image description here

pad=0.7 looked about right to me. You may need to play around with that parameter as well as figsize height to get it exactly the way you want.

edited May 23, 2017 at 10:26

CommunityBot

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answered Jun 1, 2015 at 16:07

leekaiinthesky

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