how to match a word in a datacolumn with a list of values and applying ignorecase in pandas in python

Question

I have a df,

Name
Ram is one of the key ram
Kumar is playing cricket
Ravi is playing and ravi is a good player

and a list

m         


        

Answer 1

In [187]: pat = '({})'.format('|'.join(my_list))

In [188]: df['Match'] = df['Name'].str.extract(pat, expand=False)

In [190]: df['Count'] = df.Name.str.count(pat)

In [191]: df
Out[191]:
                                                Name Match  Count
0                          Ram is one of the key ram   Ram      1
1                           Kumar is playing cricket   NaN      0
2  Ravi is playing and ravi (ravi ravi) is a good...  ravi      3  # i've intentionally added `(ravi ravi)`

Answer 2

Is this what you are looking for ?

new_l = [i.lower() for i in my_list]
extracted = df['Name'].str.lower().str.findall('(' + '|'.join(new_l) + ')').apply(set)


df['Match'] = extracted.apply(','.join)
df['count'] = extracted.apply(len)

                                          Name     Match  count
0                      Ram is one of the key ram       ram      1
1                       Kumar is playing cricket                0
2  Ravi Ram is playing and ravi is a good player  ram,ravi      2