# scipy.sparse.bsr_matrix.max¶

bsr_matrix.max(self, axis=None, out=None)[source]

Return the maximum 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 maximum 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
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.

min

The minimum value of a sparse matrix along a given axis.

numpy.matrix.max

NumPy’s implementation of ‘max’ for matrices

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