Combine two Pandas dataframes with the same index
Question:
I have two dataframes with the same index but different columns. How do I combine them into one with the same index but containing all the columns?
I have:
A
1 10
2 11
B
1 20
2 21
and I need the following output:
A B
1 10 20
2 11 21
Answers:
pandas.concat([df1, df2], axis=1)
You’ve got a few options depending on how complex the dataframe is:
Option 1:
df1.join(df2, how='outer')
Option 2:
pd.merge(df1, df2, left_index=True, right_index=True, how='outer')
I have two dataframes with the same index but different columns. How do I combine them into one with the same index but containing all the columns?
I have:
A
1 10
2 11
B
1 20
2 21
and I need the following output:
A B
1 10 20
2 11 21
pandas.concat([df1, df2], axis=1)
You’ve got a few options depending on how complex the dataframe is:
Option 1:
df1.join(df2, how='outer')
Option 2:
pd.merge(df1, df2, left_index=True, right_index=True, how='outer')