Get the value of second dimension in numpy array

Question

My NumPy array looks like this

  array([-5.65998629e-02, -1.21844731e-01,  2.44745120e-01,  1.73819885e-01,
         -1.99641913e-01, -9.42866057e-02, ..])]
 ['آؤ_بھگت'
  array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
         0., 0., 0., 0., 0., 0., 0., 0., ..])                       ]
 ['آؤلی'
  array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
         0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0..])                       ]

When I want to search some specific word I use the built in function

arr_index = np.where(x == 'شعلہ_مزاجی')
print(arr_index)

print(x[arr_index])

When I print it gives the index, but not the second value

How to get the second value in numpy array?

Answer 1

Update :

I was not getting the actual index value and it will also not print if the second value does not have any encodings.

arr_index = np.where(x == 'یے')

print(len(arr_index))

value = (arr_index[0])
print(value)

result = str(value)[1:-1]

result = int(result)

value = x[(result)][1]

print(value)

This will give the embeddings