拆分pandas包含多行字符串的系列行分成不同的行

Question

I have a pandas Series that is filled with strings like this:

In:    
s = pd.Series(['This is a single line.', 'This is another one.', 'This is a string\nwith more than one line.'])

Out:
0                        This is a single line.
1                          This is another one.
2    This is a string\nwith more than one line.
dtype: object

How can I split all rows in this Series that contain the linebreak character \\n into rows of their own? What I would expect is:

0      This is a single line.
1        This is another one.
2            This is a string
3    with more than one line.
dtype: object

I know that I can split each row by the linebreak character with

s = s.str.split('\n')

which gives

0                        [This is a single line.]
1                          [This is another one.]
2    [This is a string, with more than one line.]

but this only breaks the string within the row, not into rows of their own for each token.

Answer 1

You could loop over each string in each row to create a new series:

pd.Series([j for i in s.str.split('\n') for j in i])

It might make more sense to do this on the input rather than creating a temporary series, eg:

strings = ['This is a single line.', 'This is another one.', 'This is a string\nwith more than one line.']
pd.Series([j for i in strings for j in i.split('\n')])