Iterate through a list of strings from a column in dataframe python

Question

I have a pandas dataframe containing a list of words in the 'Message' column. How do i iterate through the list of strings from the column to apply a function that i created to correct the spelling?

I already have the function for the correction ready.

def correct_spelling(data):
w = Word(data) 
correct_word = (w.correct())
return correct_word



df['Message'] = correct_spelling(df['Message'])

INITIAL DATAFRAME

S/No Month Message

0 June [hey, howw, are, yyou, doing, today, i...]

1 August [sally, thinks, that, this, jobb, is, easyy...]

2 February [trry, to, buiy, him, a, neow, watch... ]

3 December [i, have, twp, much, taime, on, my, hand... ]

FINAL DATAFRAME

S/No Month Message

0 June [hey, how, are, you, doing, today, i...]

1 August [sally, thinks, that, this, job, is, easy...]

2 February [try, to, buy, him, a, new, watch... ]

3 December [i, have, two, much, time, on, my, hand... ]

Answer 1

If need processing each word separately use:

df['Message'] = df['Message'].apply(lambda x: [correct_spelling(y) for y in x])

If possible pass list:

df['Message'] = df['Message'].apply(correct_spelling)