numpy.matrix.min¶
- matrix.min(axis=None, out=None)[source]¶
Return the minimum value along an axis.
Parameters: See `amin` for complete descriptions. : See also
Notes
This is the same as ndarray.min, but returns a matrix object where ndarray.min would return an ndarray.
Examples
>>> x = -np.matrix(np.arange(12).reshape((3,4))); x matrix([[ 0, -1, -2, -3], [ -4, -5, -6, -7], [ -8, -9, -10, -11]]) >>> x.min() -11 >>> x.min(0) matrix([[ -8, -9, -10, -11]]) >>> x.min(1) matrix([[ -3], [ -7], [-11]])