numpy.var()
numpy.var
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numpy.var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False)
[source] -
Compute the variance along the specified axis.
Returns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis.
Parameters: a : array_like
Array containing numbers whose variance is desired. If
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is not an array, a conversion is attempted.