这是测试代码:
import numpy as np # maybe you should download the package
import pandas as pd # maybe you should download the package
data = ['Romance|Fantasy|Family|Drama', 'War|Adventure|Science Fiction',
'Action|Family|Science Fiction|Adventure|Mystery', 'Action|Drama',
'Action|Drama|Thriller', 'Drama|Romance', 'Comedy|Drama', 'Action',
'Comedy', 'Crime|Comedy|Action|Adventure',
'Drama|Thriller|History', 'Action|Science Fiction|Thriller']
a = pd.Series(data)
print(a.str.contains("|"))
print(a.apply(lambda x:"|" in x))
print(a)
执行上面的代码后,您将获得以下三个输出:
0 True
1 True
2 True
3 True
4 True
5 True
6 True
7 True
8 True
9 True
10 True
11 True
dtype: bool
print(a.apply(lambda x:"|" in x))
的输出是:
0 True
1 True
2 True
3 True
4 True
5 True
6 True
7 False
8 False
9 True
10 True
11 True
dtype: bool
print(a)
的输出是:
您将在7
中的8
和Series a
中看到没有|
。但是,print(a.str.contains("|"))
的返回全部为True
。怎么了?
答案 0 :(得分:9)
|
has a special meaning in RegEx,因此您需要对其进行转义:
In [2]: a.str.contains(r"\|")
Out[2]:
0 True
1 True
2 True
3 True
4 True
5 True
6 True
7 False
8 False
9 True
10 True
11 True
dtype: bool