pandas three-way joining multiple dataframes on columns

Question

I have 3 CSV files. Each has the first column as the (string) names of people, while all the other columns in each dataframe are attributes of that person.

How can

Answer 1

Simple Solution:

If the column names are similar:

 df1.merge(df2,on='col_name').merge(df3,on='col_name')

If the column names are different:

df1.merge(df2,left_on='col_name1', right_on='col_name2').merge(df3,left_on='col_name1', right_on='col_name3').drop(columns=['col_name2', 'col_name3']).rename(columns={'col_name1':'col_name'})