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.
Answers:
Use list convert a Series (column) into a python list:
list(df1["tweet"])
-
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)
Option 1 : df1['tweet'][0] or df1.loc[0, 'tweet']
Option 2 : df1['tweet'].to_list()[0]
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.
Use list convert a Series (column) into a python list:
list(df1["tweet"])
-
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)
Option 1 : df1['tweet'][0] or df1.loc[0, 'tweet']
Option 2 : df1['tweet'].to_list()[0]