Coding Ref

The Python "TypeError: only integer scalar arrays can be converted to a scalar index" occurs when `array indexing`

is used on a list instead of a NumPy array. The solution is to convert the list into a NumPy array. It can also occur when two NumPy matrices are concatenated using the wrong syntax. The solution is to input the two matrics as a tuple.

This error will occur if you use `array indexing`

on a list intead of a NumPy array. The following is an example of when this error occurs.

main.py

```
import numpy as np
example_list = list(range(20000))
# ⛔️ TypeError: only integer scalar arrays can be converted to a scalar index
output = example_list[indices.astype(int)]
```

To solve this error, convert `example_list`

, a list object, into a NumPy array object.

main.py

```
import numpy as np
example_list = list(range(20000))
# ✅ this runs
output = np.array(example_list)[indices.astype(int)]
```

This error will occur if you concatenate two NumPy matrices using the wrong syntax. Here is an example of when this occurs.

main.py

```
import numpy as np
#👇️ create a 2 x 2 matrix that looks like:
# [[1., 0.]
# [0., 1.]]
matrix = np.eye(2)
# ⛔️ TypeError: only integer scalar arrays can be converted to a scalar index
np.concatenate(a, a)
# ✅ this runs
np.concatenate((a, a))
>> array([[1., 0.],
[0., 1.],
[1., 0.],
[0., 1.]])
```

The correct solution is to input the two matrices a tuple.

The Python "TypeError: only integer scalar arrays can be converted to a scalar index" occurs when `array indexing`

is used on a list instead of a NumPy array. The solution is to convert the list into a NumPy array. It can also occur when two NumPy matrices are concatenated using the wrong syntax. The solution is to input the two matrics as a tuple.

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