scipy.sparse.bsr_array.

nanmin#

bsr_array.nanmin(axis=None, out=None, *, explicit=False)[source]#

Return the minimum, ignoring any Nans, along an axis.

Return the minimum, ignoring any Nans, of the array/matrix along an axis. By default this takes all elements into account, but with explicit set, only stored elements are considered.

Added in version 1.11.0.

Parameters:

axis{-2, -1, 0, 1, None} optional: Axis along which the minimum 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_array 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.