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()
can anyone give me some advise? Much appreciated.
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()