Matplotlib subplots size not equal

Question

I am using subplot to display some figures, however the labels are mixed with the last subplot, so the plots don't have equal size. and the previous 5 are not perfectly round circle.

Here's my code:

for i in range(6):
    plt.subplot(231 + i)
    plt.title("Department " + depts[i])
    labels = ['Male', 'Female']
    colors = ['#3498DB', '#E74C3C']
    sizes = [male_accept_rates[i] / (male_accept_rates[i] + female_accept_rates[i]),
             female_accept_rates[i] / (male_accept_rates[i] + female_accept_rates[i])]
    patches, texts = plt.pie(sizes, colors=colors, startangle=90)
plt.axis('equal')
plt.tight_layout()
plt.legend(labels, loc="best")
plt.show()

And here's the output:

can anyone give me some advise? Much appreciated.

Douglas Dawson · Accepted Answer · 2017-03-06 02:35:11Z

1

It appears plt.axis('equal') only applies to the last subplot. So your fix is to put that line of code in the loop.

So:

import numpy as np
import matplotlib.pyplot as plt

depts = 'abcdefg'
male_accept_rates =  np.array([ 2, 3, 2, 3, 4, 5], float)
female_accept_rates= np.array([ 3, 3, 4, 3, 2, 4], float)

for i in range(6):
    plt.subplot(231 + i)
    plt.title("Department " + depts[i])
    labels = ['Male', 'Female']
    colors = ['#3498DB', '#E74C3C']
    sizes = [male_accept_rates[i] / (male_accept_rates[i] + female_accept_rates[i]),
             female_accept_rates[i] / (male_accept_rates[i] + female_accept_rates[i])]
    patches, texts = plt.pie(sizes, colors=colors, startangle=90)
    plt.axis('equal')                                                                                          
plt.tight_layout()                                                                                             
plt.legend(labels, loc="best")                                                                                 
plt.show()

Produces this now:

answered Mar 6, 2017 at 2:35

Douglas Dawson

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2 Comments

Adam Liu Over a year ago

Just wanna ask a follow up question, the labels are laying on top of the last pie, which is not what I wanted. Is there any way to put the labels somewhere else? Thanks.

Douglas Dawson Over a year ago

Yeah, by default, the legend will be drawn for the latest subplot. For getting a single legend for a set of subplots, I'd look here: stackoverflow.com/questions/9834452/… I tried those solutions and they did not work perfectly for me, but my version of matplotlib is a little different. They may work for you.

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