Pandas merge creates unwanted duplicate entries

Question

I\'m new to Pandas and I want to merge two datasets that have similar columns. The columns are going to each have some unique values compared to the other column, in addition to

Answer 1

I have unfortunately stumbled upon a similar problem which I see is now old. I solved it by using this function in a different way, applying it to the two original tables, even though there were no duplicates in these. This is an example (I apologize, I am not a professional programmer):

import pandas as pd

dict1 = {'A':[2,2,3,4,5]}
dict2 = {'A':[2,2,3,4,5]}

df1 = pd.DataFrame(dict1)
df1=df1.drop_duplicates()

df2 = pd.DataFrame(dict2)
df2=df2.drop_duplicates()

df=pd.merge(df1,df2)
print('df1:')
print( df1 )

print('df2:')
print( df2 )

print('df:')
print( df )