scipy.sparse.csc_array.nanmin#
- csc_array.nanmin(axis=None, out=None)[source]#
Return the minimum of the array/matrix or minimum along an axis, ignoring any NaNs. This takes all elements into account, not just the non-zero ones.
New 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.
- 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
.
See also
nanmax
The maximum value of a sparse array/matrix along a given axis, ignoring NaNs.
min
The minimum value of a sparse array/matrix along a given axis, propagating NaNs.
numpy.nanmin
NumPy’s implementation of ‘nanmin’.