Get first element of Pandas Series of string

Question

I think I have a relatively simply question but am not able to locate an appropriate answer to solve the coding problem.

I have a pandas column of string: df1['tweet'].head(1) 0 besides food, Name: tweet

I need to extract the text and push it into a Python str object, of this format:

test_messages = ["line1", "line2", "etc"]

The goal is to classify a test set of tweets and therefore believe the input to: X_test = tfidf.transform(test_messages) is a str object.

Related: [Pandas - Get first row value of a given column](https://stackoverflow.com/questions/25254016/pandas-get-first-row-value-of-a-given-column) — smci, Sep 03 '18 at 06:00

score 3 · Accepted Answer · answered Jun 15 '13 at 16:39

3

Use list convert a Series (column) into a python list:

list(df1["tweet"])

answered Jun 15 '13 at 16:39

Andy Hayden

smci · Answer 2 · 2018-09-03T21:24:17.530

1

Get the Series head(), then access the first value:

df1['tweet'].head(1).item()
or: Use the Series tolist() method, then slice the 0'th element:

df.height.tolist() [94, 170] df.height.tolist()[0] 94

(Note that Python indexing is 0-based, but head() is 1-based)

edited Sep 03 '18 at 21:24

answered Sep 03 '18 at 05:50

smci

score 1 · Answer 3 · answered Feb 04 '23 at 13:10

1

Option 1 : df1['tweet'][0] or df1.loc[0, 'tweet']
Option 2 : df1['tweet'].to_list()[0]

answered Feb 04 '23 at 13:10

Subham Shit

3 Answers3