scipy.sparse.csr_matrix.max¶
- csr_matrix.max(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). - 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.
- np.matrix.max
- NumPy’s implementation of ‘max’ for matrices
 
