Pandas join two series on index

# credit to Stack Overflow user in the source link

s1 = pd.Series([1, 2], index=['A', 'B'], name='s1')
s2 = pd.Series([3, 4], index=['A', 'B'], name='s2')

pd.concat([s1, s2], axis=1)
Out:
   s1  s2
A   1   3
B   2   4

pd.concat([s1, s2], axis=1).reset_index()
Out:
  index  s1  s2
0     A   1   3
1     B   2   4

Source: stackoverflow.com

Similar codes

15 votes186 views2 answers
Loop throughthe key and the values of a dict in python
Python
-1 vote182 views2 answers
Find common values in different dataframes pandas
Python
5 votes170 views3 answers
Print complete dataframe pandas
Python
0 vote211 views1 answer
Set .intersection() operation solution in python3
Python
10 votes280 views6 answers
Dich
Python
6 votes177 views1 answer
Install pip on windows 10 python 3.9
Python
0 vote215 views1 answer
Pendulum python
Python
0 vote186 views1 answer
Newick string python
Python
4 votes173 views3 answers
Pandas how to find column contains a certain value
Python
1 vote202 views2 answers
How to sum only the even values in python
Python