scipy.sparse.bsr_array.max#
- bsr_array.max(axis=None, out=None)[source]#
Return the maximum of the array/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 maximum over all 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:
- amaxcoo_matrix or scalar
Maximum 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
min
The minimum value of a sparse array/matrix along a given axis.
numpy.matrix.max
NumPy’s implementation of ‘max’ for matrices