Identification of empty elements of a np.array

Question

I want to do a for-loop over a np.array arr[r,c] with unpredicted NaN and want to identify those in order to impute them specifically according to the context. Could anybody helP?

Answer 1

You should really try to elaborate your question.

If your numpy array is 1D then do the following:

for i in range(arr.shape[0]):
    print(arr[i])

If your numpy array is 2D then do the following:

for i in range(arr.shape[0]):
    for j in range(arr.shape[1]):
        print(arr[i,j])

if you want to denote the 'NaN' values differently. Just use an if statement

if math.isnan(arr[i,j]):
    arr[i,j] = "anything"