scipy.sparse.bsr_matrix.min¶
- bsr_matrix.min(axis=None, out=None)[source]¶
Return the minimum of the matrix or maximum along an axis. This takes all elements into account, not just the non-zero ones.
Parameters: axis : {-2, -1, 0, 1, None} optional
Axis along which the sum is computed. The default is to compute the minimum over all the matrix elements, returning a scalar (i.e. axis = None).
out : None, optional
This argument is in the signature solely for NumPy compatibility reasons. Do not pass in anything except for the default value, as this argument is not used.
Returns: amin : coo_matrix or scalar
Minimum of a. If axis is None, the result is a scalar value. If axis is given, the result is a sparse.coo_matrix of dimension a.ndim - 1.
See also
- max
- The maximum value of a sparse matrix along a given axis.
- np.matrix.min
- NumPy’s implementation of ‘min’ for matrices