numpy normal distribution
>>> mu, sigma = 0, 0.1 # mean and standard deviation
>>> s = np.random.normal(mu, sigma, 1000)numpy normal distribution
>>> mu, sigma = 0, 0.1 # mean and standard deviation
>>> s = np.random.normal(mu, sigma, 1000)stats.norm.cdf(2,loc=mean, scale=std_dev)
#calculating the probability or the area under curve to the left of this z value
import scipy.stats as stats
stats.norm.pdf(x, loc=mean, scale=std_dev)
# The probability (area) to the right is calculated as (1 - probability to the left)
import scipy.stats as stats
1 - stats.norm.pdf(x, loc=mean, scale=std_dev)Copyright © 2021 Codeinu
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