Extract only first element of tuple
Question:
I have a column on my data containing a list of two elements of tuples from POS tagging. I want to extract only the first element of these tuples and append it to another column. All code I found can only be applied to a single list of tuples. I would like to loop the code for every row as I have more than 100 rows.
pos_tag_clean
word_clean
[(semoga, SC), (saja, RB), (di, IN), (sini, PR), (bisa, MD), (cepat, JJ), (cair, NN), (semoga, NN), (saja, RB), (ini, PR), (beneran, NN), (ada, VB), (nya, NN), (bantuan, NN), (buat, JJ), (butuh, VB), (banget, NN)]
[semoga, saja, di, sini, bisa, cepat, cair, semoga, saja, ini, beneran, ada, nya, bantuan, buat, butuh, banget]
[(kak, VB), (kenapa, WH), (perbaikan, NN), (sistem, NN), (nya, PRP), (tidak, NEG), (selesai, VB)]
[kak, kenapa, perbaikan, sistem, nya, tidak, selesai]
[(sangat, RB), (baik, JJ)]
[sangat, baik]
Can you help me solve this?
Answers:
Well, if each row is stored in pos_tag_clean, you could do a list comprehension:
word_clean = [[item[0] for item in row] for row in pos_tag_clean]
I have a column on my data containing a list of two elements of tuples from POS tagging. I want to extract only the first element of these tuples and append it to another column. All code I found can only be applied to a single list of tuples. I would like to loop the code for every row as I have more than 100 rows.
| pos_tag_clean | word_clean |
|---|---|
| [(semoga, SC), (saja, RB), (di, IN), (sini, PR), (bisa, MD), (cepat, JJ), (cair, NN), (semoga, NN), (saja, RB), (ini, PR), (beneran, NN), (ada, VB), (nya, NN), (bantuan, NN), (buat, JJ), (butuh, VB), (banget, NN)] | [semoga, saja, di, sini, bisa, cepat, cair, semoga, saja, ini, beneran, ada, nya, bantuan, buat, butuh, banget] |
| [(kak, VB), (kenapa, WH), (perbaikan, NN), (sistem, NN), (nya, PRP), (tidak, NEG), (selesai, VB)] | [kak, kenapa, perbaikan, sistem, nya, tidak, selesai] |
| [(sangat, RB), (baik, JJ)] | [sangat, baik] |
Can you help me solve this?
Well, if each row is stored in pos_tag_clean, you could do a list comprehension:
word_clean = [[item[0] for item in row] for row in pos_tag_clean]