[Solved] TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array

Hello Guys, How are you all? Hope You all Are Fine. Today When I am using numpy concatenate And I am facing following error TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array Error Occurs ?

When I am using numpy concatenate Here is my code.

>>> a = np.eye(2)
>>> np.concatenate(a, a)

And I am facing 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

How To Solve TypeError: only integer scalar arrays can be converted to a scalar index with 1D numpy indices array Error ?

Solution 1: input the two arrays as a tuple in your concatenate

Here is The correct way is to input the two arrays as a tuple in your concatenate.

np.concatenate((arg1, arg2))

Solution 2: Use 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 Error Occurs

TypeError: only integer scalar arrays can be converted to a scalar index

So that Here is fix

import numpy

st1 = numpy.array(['std1', 'std2', 'std3', 'std4'])
st2 = numpy.array(['std5', 'std6'])

st3 = numpy.concatenate((st1, st2))
print(st3) //print successful

Summary

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?

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