min#
- bsr_array.min(axis=None, out=None, *, explicit=False)[source]#
Return the minimum of the array/matrix or maximum along an axis.
By default, all elements are taken into account, not just the non-zero ones. But with explicit set, only the stored elements are considered.
- Parameters:
- axis{-2, -1, 0, 1, None} optional
Axis along which the sum is computed. The default is to compute the minimum over all 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.
- explicit{False, True} optional (default: False)
When set to True, only the stored elements will be considered. If a row/column is empty, the sparse.coo_array returned has no stored element (i.e. an implicit zero) for that row/column.
Added in version 1.15.0.
- 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_array of dimension
a.ndim - 1.