Boolean Indexing with Numpy Question 6? [SOLVED]

Screen Link:
https://app.dataquest.io/m/290/boolean-indexing-with-numpy/6/assigning-values-in-ndarrays

My Code:

# this creates a copy of our taxi ndarray
taxi_modified = taxi.copy()
taxi_modified[28214, 5] = 1
taxi_modified[:,0] = taxi_modified[:,0]%10 +  (taxi_modified[:,0]%100-taxi_modified[:,0]%10)
taxi_modified[1800:1802,7] = taxi_modified[:7].mean()

What I expected to happen:

array([[    16,      1,      1, ...,  11.65,  69.99,      1],
         [    16,      1,      1, ...,      8,   54.3,      1],
         [    16,      1,      1, ...,      0,   37.8,      2],
         ...,
         [    16,      6,     30, ...,      5,  63.34,      1],
         [    16,      6,     30, ...,   8.95,  44.75,      1],
         [    16,      6,     30, ...,      0,  54.84,      2]])

The output to match the expected, which it does. And the next screen button to appear.

What actually happened:
Note:The array below was colored in blue font in the actual result displayed.

taxi_modifiedndarray (<class 'numpy.ndarray'>)
- actual + expected

  array([[    16,      1,      1, ...,  11.65,  69.99,      1],
         [    16,      1,      1, ...,      8,   54.3,      1],
         [    16,      1,      1, ...,      0,   37.8,      2],
         ...,
         [    16,      6,     30, ...,      5,  63.34,      1],
         [    16,      6,     30, ...,   8.95,  44.75,      1],
         [    16,      6,     30, ...,      0,  54.84,      2]])

I think my answer does match the expected, but it’s still not displaying the the next screen button. And if I do press next it does not give me credit for completing this question. I have also tried it by using the code from the solution, but it’s causing the same issue. I’m not sure if it’s something wrong with my code or missing something. Any help would be appreciated.

Realized my mistake, I was missing a comma in my code :sweat_smile:. Ignore my post above, sorry