python - 将包含多行字符串的 Pandas 系列行拆分为单独的行

Question

我有一个 pandas 系列，里面装满了这样的字符串:

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

如何将此系列中包含换行符 \n 的所有行拆分为它们自己的行？我期望的是:

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

我知道我可以用换行符分隔每一行

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

给出

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

但这只会将行内的字符串打断，不会为每个标记打断它们自己的行。

Answer 1

您可以遍历每一行中的每个字符串以创建一个新系列:

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

在输入上执行此操作比创建临时系列更有意义，例如:

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')])