numpyvar
Numpyvar is not an official function in the NumPy library; it is a colloquial shorthand sometimes used to refer to computing the variance of data with NumPy. The actual, documented function is numpy.var, which returns the variance of an array or a reduced axis of an array.
The standard function is numpy.var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False). It computes the variance as the
Key behavior and usage notes: if axis is None, numpy.var returns a scalar; otherwise, it returns an
Examples illustrate typical usage: numpy.var([1, 2, 3, 4]) evaluates to 1.25 (population variance), while numpy.var([1, 2,