scipy.sparse.csr_matrix.min

csr_matrix.min(axis=None, out=None)

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).

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:

amin : coo_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.

np.matrix.min

NumPy’s implementation of ‘min’ for matrices