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One of the most common Python errors out there is the “TypeError: Only integer scalar array can be converted to a scalar index with 1D numpy indices array”. It seems to catch out with a lot of Python professionals and even students. In this blog, we’ll go through the different causes of this error and what you can do to fix it.
How To Fix The Error “TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array”?
Here is the code for using numpy concatenate:
>>> a = np.eye(2)
>>> np.concatenate(a, a)
But you may have trouble with the following error.
Traceback (most recent call last):
File “<stdin>”, line 1, in <module>
File “<__array_function__ internals>”, line 6, in concatenate
TypeError: only integer scalar arrays can be converted to a scalar index
The proper way to concatenate the two arrays as a tuple is as follows: np.concatenate((arg1, arg2)).
Option 1: In the concatenate, enter the two arrays as a tuple
The proper way to concatenate the two arrays as a tuple is as follows:
np.concatenate((arg1, arg2)).
Option 2: Utilize this way
import numpy st1 = numpy.array(['std1', 'std2', 'std3', 'std4']) st2 = numpy.array(['std5', 'std6']) st3 = numpy.concatenate(st1, st2) print(st3) // error occurs
And then, there’s the error:
TypeError: only integer scalar arrays can be converted to a scalar index
This is how to resolve it:
import numpy st1 = numpy.array(['std1', 'std2', 'std3', 'std4']) st2 = numpy.array(['std5', 'std6']) st3 = numpy.concatenate((st1, st2)) print(st3) //print successful
Conclusion
We hope you enjoyed our blog about dealing with the error “TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array”. If you have any other questions or concerns about this issue, please leave a comment below. Thank you for reading; we are always excited when one of our posts can provide useful information on a topic like this!
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