rohanjoseph93

rohanjoseph93

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rohanjoseph93

rohanjoseph93

rohanjoseph93

rohanjoseph93

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from wand.image import Image
from wand.display import display
%matplotlib notebook

rohanjoseph93

# 1000 simulations of die roll
n = 1000

# In each simulation, there is one trial more than the previous simulation
avg = []
for i in range(1,n):
    a = np.random.randint(1,7,10)
    avg.append(np.average(a))
    
# sample 10 expected value of die rolls

rohanjoseph93

# Function that will plot the histogram, where current is the latest figure
def clt(current):
    # if animation is at the last frame, stop it
    plt.cla()
    if current == 1000: 
        a.event_source.stop()

    plt.hist(avg[0:current])

    plt.gca().set_title('Expected value of die rolls')

rohanjoseph93

# Function that will plot the histogram, where current is the latest figure
def clt(current):
    # if animation is at the last frame, stop it
    plt.cla()
    if current == 1000: 
        a.event_source.stop()

    plt.hist(avg[0:current])

    plt.gca().set_title('Expected value of die rolls')

rohanjoseph93

a.save('C:/Users/rohan/Documents/clt2.gif', writer='imagemagick', fps=10)