Question

How can I generate random numbers from a binomial distribution using NumPy?

Answer 1

You can use the numpy.random.binomial function to generate random numbers from a binomial distribution. The function takes three main arguments: the number of trials, the probability of success in each trial, and the number of random numbers you want to generate.

import numpy as np

# Parameters
num_trials = 10  # Number of trials
prob_success = 0.3  # Probability of success
num_samples = 1000  # Number of random numbers to generate

# Generate random numbers from binomial distribution
random_numbers = np.random.binomial(num_trials, prob_success, num_samples)

print(random_numbers)