How to get the indices list of all NaN value in numpy array?
Say now I have a numpy array which is defined as,
[[1,2,3,4], [2,3,NaN,5], [NaN,5,2,3]]
Now I want to have a list that contains all the indices of the missing values, which is
[(1,2),(2,0)] at this case.
Is there any way I can do that?
x = np.array([[1,2,3,4], [2,3,np.nan,5], [np.nan,5,2,3]]) np.argwhere(np.isnan(x))
array([[1, 2], [2, 0]])