# scipy.sparse.coo_matrix.min¶

coo_matrix.min(self, axis=None, out=None)[source]

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).

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
amincoo_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.

max

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

np.matrix.min

NumPy’s implementation of ‘min’ for matrices

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