How to real-time update a Histogram in a Jupyter notebook?

Question

So i have my initial array 'P' with the same number (500) 100 times

I made a while loop to randomly update two numbers in the P array (number 1 will lose/win 75 points so number 2 will do the opposite):

maxInteractions=500
interactions=0
def s(): #variable random s, defines who loses and who wins
    return random.choice([-1, 1])
while interactions <= maxInteractions:
    k= random.randint(0,99) #random number in P
    newList = [p for p in range(0,100,1) if p != k] #new list without K for second number in P
    l=random.choice(newList) #second number of P
    deltaM=75 #Points
    S=s() #will be either 1 o -1
    if P[k]+(deltaM*S)<0 or P[l]-(deltaM*S)<0: #if transaction ends up in debt, no transaction proceeds.
        continue
    else: #transacion
        P[k]=P[k]+(deltaM*S)
        P[l]=P[l]-(deltaM*S)
        interactions+=1

I want to animate this process, I tried using matplotlib animation:

    def animate(i):
    k = random.randint(0,99)
    newList = [p for p in range(0,100,1) if p != k] 
    l=random.choice(newList) 
    deltaM=75
    S=s() 
    if P[k]+(deltaM*S)<0 or P[l]-(deltaM*S)<0:
        True 
    else: 
        P[k]=P[k]+(deltaM*S)
        P[l]=P[l]-(deltaM*S)
    N1, bins, patches= ax.hist(P, [z for z in range(0,M+2500,2500)])
    time_text.set_text('trans={:.2f}'.format(i))
anim=animation.FuncAnimation(fig,animate,frames=100)
anim.save('ani.gif',writer='pillow',fps=30,dpi=100)

, however, the resultant gif doesn't update the histogram. ¿what's wrong?

Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking. — Community, Sep 27 '22 at 07:17

score 0 · Accepted Answer · answered Oct 12 '22 at 05:54

Solution

When you call ax.hist(...) there is no need to set it equal to N1, bins, patches. Instead, you can simply call the function. Also, only your data P is required as an argument for ax.hist().

NOTE: It is important to call ax.cla() at the beginning of each iteration of your animation function. This clears all of the data from the subplot and makes it so that fresh data can be plotted without interference from the previous iterations.

Complete Code

%matplotlib notebook
import matplotlib.pyplot as plt
import random
from matplotlib import animation
from matplotlib.animation import FuncAnimation
import time

start = time.perf_counter()

numBins = 100
P = [500] *numBins

fig = plt.figure()
ax = fig.add_subplot()
    
def animate(i):
    ax.cla()
    time_text = ax.text(1,1,"",transform = ax.transAxes, ha="right")
    k = random.randint(0,numBins-1)
    newList = [p for p in range(0,numBins,1) if p != k] 
    l=random.choice(newList) 
    deltaM=75
    S=random.choice([-1, 1])
    if P[k]+(deltaM*S)<0 or P[l]-(deltaM*S)<0:
        True 
    else: 
        P[k]=P[k]+(deltaM*S)
        P[l]=P[l]-(deltaM*S)
    ax.hist(P)
    time_text.set_text('trans={:.2f}'.format(i))

anim=animation.FuncAnimation(fig,animate,repeat = False,frames=100, interval = 20)
anim.save('ani.gif',writer='pillow',fps=30,dpi=100)

end = time.perf_counter()
print("Total runtime:", (end-start))

How to real-time update a Histogram in a Jupyter notebook?

1 Answers1

Solution

Complete Code