cunumeric.var#

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 a is not an array, a conversion is attempted.
axis (None or int or tuple[int], optional) –
Axis or axes along which the variance is computed. The default is to compute the variance of the flattened array.

If this is a tuple of ints, a variance is performed over multiple axes, instead of a single axis or all the axes as before.
dtype (data-type, optional) – Type to use in computing the variance. For arrays of integer type the default is float64; for arrays of float types it is the same as the array type.
out (ndarray, optional) – Alternate output array in which to place the result. It must have the same shape as the expected output, but the type is cast if necessary.
ddof (int, optional) – “Delta Degrees of Freedom”: the divisor used in the calculation is N - ddof, where N represents the number of elements. By default ddof is zero.
keepdims (bool, optional) – If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.
where (array_like of bool, optional) – A boolean array which is broadcasted to match the dimensions of array, and selects elements to include in the reduction.

Returns:

m – If out=None, returns a new array of the same dtype as above containing the variance values, otherwise a reference to the output array is returned.

Return type:

ndarray, see dtype parameter above