I want to be able to position each percentage value at different distance from the center, but pctdistance needs to be a single value.
For my case pctdistance should be a list that would contain generated distances (generated by a range).
import matplotlib.pyplot as plt
fig =plt.figure(figsize = (10,10))
ax11 = fig.add_subplot(111)
# Data to plot
labels = 'Python', 'C++', 'Ruby', 'Java'
sizes = [215, 130, 245, 2000]
colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue']
explode = (0.1, 0, 0, 0) # explode 1st slice
# Plot
w,l,p = ax11.pie(sizes, labels=labels, colors=colors,
autopct='%1.1f%%', startangle=140, pctdistance=0.8, radius = 0.5)
[t.set_rotation(0) for t in p]
[t.set_fontsize(50) for t in p]
plt.axis('equal')
plt.show()
What I have: What I want:
The pie
function does not take lists or arrays as input for the pctdistance
argument.
You may position the texts manually using a predefined list of pctdistances
.
import numpy as np
import matplotlib.pyplot as plt
fig =plt.figure(figsize = (4,4))
ax11 = fig.add_subplot(111)
# Data to plot
labels = 'Python', 'C++', 'Ruby', 'Java'
sizes = [215, 130, 245, 2000]
colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue']
# Plot
w,l,p = ax11.pie(sizes, labels=labels, colors=colors,
autopct='%1.1f%%', startangle=140, pctdistance=1, radius = 0.5)
pctdists = [.8, .5, .4, .2]
for t,d in zip(p, pctdists):
xi,yi = t.get_position()
ri = np.sqrt(xi**2+yi**2)
phi = np.arctan2(yi,xi)
x = d*ri*np.cos(phi)
y = d*ri*np.sin(phi)
t.set_position((x,y))
plt.axis('equal')
plt.show()
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