How to match particular word in the list to pandas column?

Question

a = ['bed', 'mattress', 'sheets', 'pillow', 'admission kits']

df = pd.DataFrame({'sr.no':[1,2,3,4,5], 'des': ['2 bed rooms', 'natural language processing', '2x2 sheets grabs', '2 meter long pillow', '2x30mm long']})

df =   sr.no       des
       1           2 bed rooms
       2           natural language processing
       3           2x2 sheets grabs
       4           2 meter long pillow
       5           2x30mm long

Here is list 'a' and dataframe 'df'. so here I want to match elements in list 'a' with dataframe column 'des'. if 'a' list of word present in 'des' column then print matched word otherwise print not match.

Here is the output that I want:

out=   sr.no    des                            output
       1        2 bed rooms                    bed
       2        natural language processing    not match
       3        2x2 sheets grabs               sheets 
       4        2 meter long pillow            pillow
       5        2x30mm long                    not match

How I can do this using python?

Answer 1

If we only want to see if there is a match, we can use str.contains for the check and np.where to assign values:

df['output'] = np.where(df['des'].str.contains('|'.join(a)), 'match', 'not match')

Output:

   sr.no                          des     output
0      1                  2 bed rooms      match
1      2  natural language processing  not match
2      3             2x2 sheets grabs      match
3      4          2 meter long pillow      match
4      5                  2x30mm long  not match