only integer scalar arrays can be converted to a scalar index pandas
df1 = pd.DataFrame({'a': [1, 2]})
df2 = pd.DataFrame({'b': [3, 1]})
df1.columns = ['b']
df1.merge(df2, on='b')
# b
# 0 1only integer scalar arrays can be converted to a scalar index pandas
df1 = pd.DataFrame({'a': [1, 2]})
df2 = pd.DataFrame({'b': [3, 1]})
df1.columns = ['b']
df1.merge(df2, on='b')
# b
# 0 1Fix TypeError: only integer scalar arrays can be converted to a scalar index
# 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']TypeError: only integer scalar arrays can be converted to a scalar index
# 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 indexCopyright © 2021 Codeinu
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