Pandas Check if a Row Exists Anywhere in a Column and Return True or False

Question

I'm trying to check is a row is present anywhere in another column and return True / False in a column called 'Check'.

Specifically I'm trying to lookup the values in a column called 'Keyword', and check if it exists anywhere in a column called description.

Each keyword to check is 2 words+ and I'm looking to find the word in the exact order.

Keyword        Description                Check
spam spam      spam spam foo bar          True
spam foo                                  True
spam bar                                  False
spam spam foo                             True
spam bar                                  False

My code:

df['Check'] = df.apply(lambda row: row['Keyword'] in row['Description'], axis=1)

This checks if the keyword is in a matching row, but I need to check if it existing anywhere in the entire column instead. Thanks!

Answer 1

You can use Series.isin method against a list of values. So you need a proper list of Description column values:

In [915]: vals = [x.split() for x in df.Description.values][0]
In [917]: df['Check'] = df.Keyword.isin(vals)

In [918]: df
Out[918]: 
  Keyword        Description  Check
0    spam  eggs spam foo bar   True
1    eggs                      True
2   house                     False
3     foo                      True
4     bar                      True
5  turtle                     False