# scipy.sparse.bsr_array.max

bsr_array.max(axis=None, out=None)

  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).

    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:
    amax coo_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 matrix along a given axis.

  `numpy.matrix.max`

    NumPy’s implementation of ‘max’ for matrices