Count how many attributes have a word as a substring of longer text value

Question

For example, if I have a data frame that looks like this:

id    title    
1     assistant
2     chief executive officer
3     director
4     chief operations officer
5     assistant manager
6     producer

If I wanted to find how many title have the word assistant in them, the result should be 2 . If I wanted to find how many title have chief in them, the result should be 2 as well.

Is there a fast way to do this using pandas?

Answer 1

Use str.count with sum :

print (df.title.str.count('chief'))
0    0
1    1
2    0
3    1
4    0
5    0
Name: title, dtype: int64

print (df.title.str.count('chief').sum())
2

print (df.title.str.count('assistant').sum())
2