Python 3.4+statisticsfunction

statistics.pvariance

spread

Population variance (with n).

Syntax

statistics.pvariance(data)

The return type follows the input type: Decimal and Fraction stay exact, and integer data can give you an int rather than a float — do not assume a float comes back. And this is the population variance (divisor n): for a sample use variance with its n-1, and pass mu only when the true mean is genuinely known, otherwise you get the second moment about some unrelated point.

Examples

import statistics
print(statistics.pvariance([1, 2, 3, 4, 5]))   # → 2
print(statistics.pvariance([1, 2, 3, 4, 5], mu=0))  # → 11
print(statistics.pvariance([2, 4, 4, 4, 5, 5, 7, 9]))  # → 4
print(statistics.pvariance([5]))  # → 0
print(statistics.variance([1, 2, 3, 4, 5]))  # → 2.5

See also

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