`numpy:nanargmin`

source: /numpy/lib/_nanfunctions_impl.py :510

Signature

   def     nanargmin (    a    ,    axis    =  None   ,    out    =  None   ,  * ,     keepdims    =  <no value>     )

Summary

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.

Parameters

a : array_like: Input data.
axis : int, optional: Axis along which to operate. By default flattened input is used.
out : array, optional: If provided, the result will be inserted into this array. It should be of the appropriate shape and dtype.
versionadded 1.22.0
keepdims : bool, 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.
versionadded 1.22.0

Returns

index_array : ndarray: 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)
np.nanargmin(a)

✗

np.nanargmin(a, axis=0)
np.nanargmin(a, axis=1)

`numpy:nanargmin`

Signature

Summary

Parameters

Returns

Examples

See also

Aliases

Referenced by

This package