CODEWITHSUNDEEP
pythonmatplotlib
Nidutt
Nidutt

Reputation: 315

Dynamically updating a pie chart

I am receiving data every second and I need to update the same pie chart with each data received. I read some forums and have a code in place. However, currently with each recieving values, I am getting another pie chart i.e. the previous pie chart value is not getting refreshed. I want to refresh the same pie chart value

fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
labels=['a','b']
def animate(i):
    nums=[x1,x2]
    ax.clear()
    ax1.pie(nums, labels=labels, 
                    autopct='%1.1f%%', shadow=True, startangle=140)
            
ani = animation.FuncAnimation(fig, animate, interval=1000)
plt.show()

The value of x1 and x2 keeps changing. All this is inside a for loop that listens new data arising in x1 and x2 What am I doing wrong?

Upvotes: 1

Views: 1989

Answers (2)

r-beginners
r-beginners

Reputation: 35155

I didn't have any experience with pie chart animation, but here's a great answer that I found helpful.

import random
from matplotlib import pyplot as plt 
import numpy as np 
from matplotlib.animation import FuncAnimation 

fig,ax = plt.subplots()

labels = ['Frogs', 'Hogs', 'Dogs', 'Logs']
sizes = [15, 30, 45, 10]
explode = (0, 0.1, 0, 0) 

def animate(i):
    new_sizes = []
    new_sizes = random.sample(sizes, len(sizes))
    print(new_sizes)
    ax.clear()
    ax.axis('equal')
    ax.pie(new_sizes, labels=labels, autopct='%1.1f%%', shadow=True, startangle=140) 

anim = FuncAnimation(fig, animate, frames=100, repeat=False) 

plt.show()

enter image description here

Upvotes: 1

Karthik
Karthik

Reputation: 2431

Please check the snippet. This will update graph in every 2 seconds.

You can call plt.pause(2) to both draw the new data and it runs the GUI's event loop

import random
import matplotlib.pyplot as plt
fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
labels=['a','b']
for i in range(10):    
    nums=[random.randint(5,10),random.randint(5,10)]
    ax1.clear()
    ax1.pie(nums, labels=labels, autopct='%1.1f%%', shadow=True, startangle=140)
    plt.pause(2)
plt.draw()

Upvotes: 1

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