如何识别包含多个单词的字符串

Question

数据类型为字符串的数据框列文本包含句子，我希望提取包含某些单词的行，而不考虑它们出现的位置。

例如：

Column
Cat and mouse are the born enemies
Cat is a furry pet


df = df[df['cleantext'].str.contains('cat' & 'mouse')].reset_index()
df.shape

以上是抛出错误。

我知道对于或条件我们可以写 -

df = df[df['cleantext'].str.contains('cat | mouse')].reset_index()

但我想提取同时存在猫和老鼠的行

预期输出 -

Column
Cat and mouse are the born enemies

Answer 1

这是一种方法，也适用于多个单词：

words = ['cat', 'mouse']
m = pd.concat([df.Column.str.lower().str.contains(w) for w in words], axis=1).all(1)
df.loc[m,:]

      Column
0  Cat and mouse are the born enemies

如何识别包含多个单词的字符串

How to identify the string where it contains multiple words

python

regex

conditional

string-search