将包含多行字符串的 pandas Series 行拆分为单独的行答案

【问题标题】：Split pandas Series rows containing multiline strings into separate rows将包含多行字符串的 pandas Series 行拆分为单独的行
【发布时间】：2014-11-26 17:14:45
【问题描述】：

我有一个熊猫系列，里面充满了这样的字符串：

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

如何将本系列中包含换行符 \n 的所有行拆分为各自的行？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割每一行

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

这给了

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

但这只会破坏行内的字符串，而不是为每个标记分成自己的行。

【问题讨论】：

标签： python pandas split series

【解决方案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可能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')])

【讨论】：