Joining Multiple Dataframes with Pandas with overlapping Column Names?

Question

I have multiple (more than 2) dataframes I would like to merge. They all share the same value column:

In [431]: [x.head() for x in data]
Out[431]: 
[                 


        

Answer 1

I would try pandas.merge using the suffixes= option.

import pandas as pd
import datetime as dt

df_1 = pd.DataFrame({'x' : [dt.datetime(2012,10,21) + dt.timedelta(n) for n in range(10)], 'y' : range(10)})
df_2 = pd.DataFrame({'x' : [dt.datetime(2012,10,21) + dt.timedelta(n) for n in range(10)], 'y' : range(10)})
df = pd.merge(df_1, df_2, on='x', suffixes=['_1', '_2'])

I am interested to see if the experts have a more algorithmic approach to merge a list of data frames.