How to create a histogram in python

Question

Repeatedly rolling a die would result in a uniform distribution of values between 1 and 6, inclusive. Repeatedly rolling 2 dice would result in a uniform distribution of values between 2 and 12, inclusive. In this simulation, repeatedly roll 6 dice and count the number of occurrences of each value: i. After 1000 simulations. ii. After 100,000 simulation. Plot the result using Matplotlib I am having issues generating the values to plot on the histogram

import random

# Set the number of dice rolls
num_rolls = 100

# Create a dictionary to track the number of occurrences of each value
occurrences = {}

# Roll the dice num_rolls times
for i in range(num_rolls):
    # Generate a random value between 6 and 36
    value = random.randint(6, 36)

    # Increment the count for this value in the dictionary
    if value in occurrences:
        occurrences[value] += 1
    else:
        occurrences[value] = 1

# Print the number of occurrences of each value
for value in occurrences:
    print(f"Total dice per roll {value}: Number of rolls {occurrences[value]}")

import matplotlib.pyplot as plt


# Plot the results
plt.bar(value, occurrences[value])
plt.xlabel('Value of roll')
plt.ylabel('Number of occurrences')
plt.title('Results of rolling 6 dice 100 times')
plt.show()

Answer 1

Ahh you almost there. You are printing only for last values. you have to take a list and append each & everyone of them.

vals =[]
occ =[]

inside loop

vals.append(value)
occ.append(occurrences[value])

complete code

import random

# Set the number of dice rolls
num_rolls = 100

vals =[]
occ =[]



# Create a dictionary to track the number of occurrences of each value
occurrences = {}

# Roll the dice num_rolls times
for i in range(num_rolls):
    # Generate a random value between 6 and 36
    value = random.randint(6, 36)

    # Increment the count for this value in the dictionary
    if value in occurrences:
        occurrences[value] += 1
    else:
        occurrences[value] = 1

# Print the number of occurrences of each value
for value in occurrences:
    print(f"Total dice per roll {value}: Number of rolls {occurrences[value]}")
    vals.append(value)
    occ.append(occurrences[value])

import matplotlib.pyplot as plt


# Plot the results
plt.bar(vals,occ)
plt.xlabel('Value of roll')
plt.ylabel('Number of occurrences')
plt.title('Results of rolling 6 dice 100 times')
plt.show()

output #