python-scipyHow do I use the scipy.stats.norm.cdf function in Python?

The scipy.stats.norm.cdf function in Python is used to calculate the cumulative distribution function (CDF) for a standard normal distribution. It takes two arguments: the point at which to evaluate the CDF, and the mean and standard deviation of the normal distribution.

Example code

from scipy.stats import norm

# Evaluate the CDF at x=1.2
x = 1.2
mu = 0
sigma = 1
cdf = norm.cdf(x, mu, sigma)

print(cdf)

Output example

0.8849303297782951

The code above calculates the CDF of a standard normal distribution at x=1.2. The norm.cdf function takes three arguments: x, mu, and sigma. x is the point at which to evaluate the CDF, mu is the mean of the normal distribution, and sigma is the standard deviation of the normal distribution. In this example, mu=0 and sigma=1 since we are evaluating the CDF of a standard normal distribution. The output of the code is 0.8849303297782951, which is the CDF of a standard normal distribution at x=1.2.

Helpful links

• scipy.stats.norm
• Cumulative Distribution Function (CDF)

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