The error message "TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array" is raised when you’re trying to use a non-integer scalar array as an index with a 1D numpy indices array.

Here’s an example to reproduce this error:

```
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
indices = np.array([0.5, 1.5, 2.5])
result = arr[indices]
```

In this example, we’re trying to use a 1D array `indices`

that contains non-integer values as an index for accessing elements from the array `arr`

. However, numpy expects the indices to be integer scalars, not floats. Hence it raises the "TypeError" with the above error message.

To fix this error, you need to ensure that the `indices`

array contains only integer values. One way to do this is by converting the array to integer type using the `astype()`

method:

```
import numpy as np
arr = np.array([1, 2, 3, 4, 5])
indices = np.array([0.5, 1.5, 2.5]).astype(int)
result = arr[indices]
```

Now the `indices`

array contains only integer values, and you should not encounter the "TypeError" anymore.

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