Nested for loop using lambda function

Question

I have a nested for loop something like:

for x in df['text']:
  for i in x:
    if i in someList:
      count++

Where df['text'] is a series of lists containing words such as ['word1', 'word2', 'etc']
I know I can just use the for format but I want to convert it into a lambda function.
I tried doing:
df['in'] = df['text'].apply(lambda x: [count++ for i in x if i in someList]) but it is not proper syntax. How can I modify to get the function to what I desire?

Answer 1

I feel like you need expend the row and doing with isin , since with pandas , we usually try not use for loop .

df['in']=pd.DataFrame(df['text'].tolist(),index=df.index).isin(someList).sum(1)