scipy.sparse.csc_matrix.min¶
- csc_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).
- outNone, 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
- amincoo_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.
numpy.matrix.min
NumPy’s implementation of ‘min’ for matrices