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Tom
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Asked: 2022-06-09T03:02:58+00:00 In:

How to fix typeerror: only integer scalar arrays can be converted to a scalar index?

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Please help me!

I get the “TypeError: only integer scalar arrays can be converted to a scalar index” in my below code which I attempt to concatenate two arrays of the same type and use numpy.concatenate() function.

# import numpy

import numpy
# Create 2 different arrays
ar1 = numpy.array(['Apple', 'Orange', 'Banana', 'Pineapple', 'Grapes'])
ar2 = numpy.array(['Onion', 'Potato'])
# Concatenate array ar1 & ar2 using numpy.concatenate()
ar3 = numpy.concatenate(ar1, ar2)
print(ar3)
# Output
Traceback (most recent call last):
File "c:\\Projects\\Tryouts\\listindexerror.py", line 9, in <module>
ar3 = numpy.concatenate(ar1, ar1)
File "<__array_function__ internals>", line 5, in concatenate
TypeError: only integer scalar arrays can be converted to a scalar index

I would appreciate it if someone could tell me the cause of the error and how to fix it. Thanks.

 

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1 Answer

  1. Best Answer
    Expert

    The cause: Python numpy raises typeerror: only integer scalar arrays can be converted to a scalar index when you aim to transform the ordinary array into a scalar index. Another possible reason is when you try to concatenate but don’t pass a Tuple or a list.

    Solution:

    Two ways to solve the problem:

    1. Concatenate array by list

      In the example below, It used the numpy.concatenate() method to convert array 1 and array 2 to a List. You must surround arrays 1 and 2 between square brackets.

      # import numpy
import numpy

# Create 2 different arrays
ar1 = numpy.array(['Apple', 'Orange', 'Banana', 'Pineapple', 'Grapes'])
ar2 = numpy.array(['Onion', 'Potato'])

# Concatenate array ar1 & ar2 using numpy.concatenate()
ar3 = numpy.concatenate([ar1, ar2])
print(ar3)

# Output
['Apple' 'Orange' 'Banana' 'Pineapple' 'Grapes' 'Onion' 'Potato']

    2. Concatenate array by Tuple

             Array 1 and array 2 are converted to Tuple inside the numpy.concatenate() method.

    # import numpy
import numpy

# Create 2 different arrays
ar1 = numpy.array(['Apple', 'Orange', 'Banana', 'Pineapple', 'Grapes'])
ar2 = numpy.array(['Onion', 'Potato'])

# Concatenate array ar1 & ar2 using numpy.concatenate()
ar3 = numpy.concatenate((ar1, ar2))
print(ar3)

# Output
['Apple' 'Orange' 'Banana' 'Pineapple' 'Grapes' 'Onion' 'Potato']
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