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?

np.isnan combined with np.argwhere

    x = np.array([[1,2,3,4],
                  [2,3,np.nan,5],
                  [np.nan,5,2,3]])
    np.argwhere(np.isnan(x))

output:

    array([[1, 2],
           [2, 0]])

From: stackoverflow.com/q/37754948