Is it possible to find common values in two dataframes using Python?

Question

I have a dataframe df1 that is the list of e-mails of people that downloaded a certain e-book, and another dataframe df2 that is the e-mails of people that downloaded a different e-book.

I want to find the people that downloaded both e-books, or the common values between df1 and df2, using Python.

Is it possible to do that? How?

Answer 1

This was already discussed. Can you click on the below link

Find the common values in columns in Pandas dataframe

Answer 2

Assuming the two data frames as df1 and df2 with email column, you can do the following:

intersected_df = pd.merge(df1, df2, how='inner')

This data frame will have the values corresponding to emails found in df1 and df2

Answer 3

1. Dump the emails from df1 into a set, in order to avoid duplicates.
2. Dump the emails from df2 into a set, for the same reason.
3. Find the intersection of these two sets, as such:

set1 = set(df1.Emails)`
set2 = set(df2.Emails)
common = set1.intersection(set2)```

Answer 4

I believe you should merge the two dataframes

merged = pd.merge(df1, df1, how='inner', on=['e-mails'])

and then drop the Nan values:

merged.dropna(inplace=True)