dask.array.nanargmin
dask.array.nanargmin¶
- dask.array.nanargmin(a, axis=None, keepdims=False, split_every=None, out=None)[source]¶
Return the indices of the minimum values in the specified axis ignoring NaNs. For all-NaN slices
ValueError
is raised. Warning: the results cannot be trusted if a slice contains only NaNs and Infs.This docstring was copied from numpy.nanargmin.
Some inconsistencies with the Dask version may exist.
- Parameters
- aarray_like
Input data.
- axisint, optional
Axis along which to operate. By default flattened input is used.
- outarray, optional
If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype.
New in version 1.22.0.
- keepdimsbool, optional
If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the array.
New in version 1.22.0.
- Returns
- index_arrayndarray
An array of indices or a single index value.
Examples
>>> import numpy as np >>> a = np.array([[np.nan, 4], [2, 3]]) >>> np.argmin(a) 0 >>> np.nanargmin(a) 2 >>> np.nanargmin(a, axis=0) array([1, 1]) >>> np.nanargmin(a, axis=1) array([1, 0])