pandas.Series.str.contains

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最新推荐文章于 2025-04-24 17:46:29 发布

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pandas.Series.str.contains方法用于检查字符串系列中是否包含特定模式或正则表达式，返回布尔值系列。参数包括pat（匹配模式），case（是否区分大小写，默认为True）和regex（是否启用正则，默认True）。文中通过电影题材的例子进行示例说明。

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pandas.Series.str.contains用于判断Series的字符串中是否包含待匹配的模式或者正则表达式，返回的是一个boolean Series。

Parameters:

pat：str. Character sequence or regular expression.
case：bool, default True. If True, case sensitive.
regex：bool, default True. If True, assumes the pat is a regular expression. If False, treats the pat as a literal string.

下面以一个电影题材的例子说明：
数据集如图所示：
movies_title_genres
代码：

import pandas as pd


movie = [['Toy Story (1995)', 'Adventure|Animation|Children|Comedy|Fantasy'],
         ['Jumanji (1995)', 'Adventure|Children|Fantasy'],
         ['Grumpier Old Men (1995)', 'Comedy|Romance'],
         ['Waiting to Exhale (1995)', 'Comedy|Drama|Romance'],
         ['Father of the Bride Part II (1995)', 'Comedy'],
         ['Heat (1995)', 'Action|Crime|Thriller'],
         ['Sabrina (1995)', 'Comedy|Romance'],
         ['Tom and Huck (1995)', 'Adventure|Children'],
         ['Sudden Death (1995)', 'Action'],
         ['GoldenEye (1995)', 'Action|Adventure|Thriller'],
         ['American President, The (1995)', 'Comedy|Drama|Romance'],
         ['Dracula: Dead and Loving It (1995)', 'Comedy|Horror'],
         ['Balto (1995)', 'Adventure|Animation|Children'],
         ['Nixon (1995)', 'Drama'],
         ['Cutthroat Island (1995)', 'Action|Adventure|Romance'],
         ['Casino (1995)', 'Crime|Drama'],
         ['Sense and Sensibility (1995)', 'Drama|Romance'],
         ['Four Rooms (1995)', 'Comedy'],
         ['Ace Ventura: When Nature Calls (1995)', 'Comedy'],
         ['Money Train (1995)', 'Action|Comedy|Crime|Drama|Thriller']]

df = pd.DataFrame(data=movie, columns=['title', 'genres'])
movie_with_Action = df[df['genres'].str.contains(pat='Action')]
movie_with_Romance = df[df['genres'].str.contains(pat='Romance')]
movie_with_Action_Romance = df[df['genres'].str.contains(pat='Action|Romance')]