Python 3.8+statisticsterm

statistics.NormalDist

distribution

A normal distribution (μ, σ) with pdf/cdf/samples and arithmetic.

Syntax

statistics.NormalDist(mu=0.0, sigma=1.0)

Instances are immutable, and arithmetic such as nd * 2 or nd + 5 returns a new distribution; adding two NormalDist objects assumes the variables are independent, so the result is wrong for correlated ones. cdf(x) gives the share of values at or below x, the reverse question — the cutoff for a given probability — is inv_cdf, and from_samples builds a distribution straight from data. Added in Python 3.8.

Examples

import statistics
nd = statistics.NormalDist(0, 1)
print(nd.mean, nd.stdev)   # → 0.0 1.0
print(round(nd.cdf(0), 2))   # → 0.5

See also

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