numpy.matrix.var#

method

matrix.var(axis=None,dtype=None,out=None,ddof=0)[source]#

Returns the variance of the matrix elements, along the given axis.

Refer tonumpy.var for full documentation.

See also

numpy.var

Notes

This is the same asndarray.var, except that where anndarray wouldbe returned, amatrix object is returned instead.

Examples

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>>>x=np.matrix(np.arange(12).reshape((3,4)))>>>xmatrix([[ 0,  1,  2,  3],        [ 4,  5,  6,  7],        [ 8,  9, 10, 11]])>>>x.var()11.916666666666666>>>x.var(0)matrix([[ 10.66666667,  10.66666667,  10.66666667,  10.66666667]]) # may vary>>>x.var(1)matrix([[1.25],        [1.25],        [1.25]])

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