Python如何提取pandas dataframe中[]括号内的指定字符串并使用布尔值创建新列

import pandas as pd
import re

# 创建示例DataFrame
df = pd.DataFrame({'column': ['[apple]', '[banana]', '[orange]']})

# 使用正则表达式提取[]括号内的字符串
pattern = r'\[(.*?)\]'
df['new_column'] = df['column'].str.extract(pattern)

# 创建布尔值的列表
df['boolean_column'] = df['new_column'].notnull()

print(df)

    column new_column  boolean_column
0  [apple]      apple            True
1 [banana]     banana            True
2 [orange]     orange            True

import pandas as pd

# 创建示例DataFrame
df = pd.DataFrame({'column': ['[apple]', '[banana]', '[orange]']})

# 使用字符串处理方法提取[]括号内的字符串
df['new_column'] = df['column'].str.strip('[]')

# 创建布尔值的列表
df['boolean_column'] = df['new_column'].notnull()

print(df)

    column new_column  boolean_column
0  [apple]      apple            True
1 [banana]     banana            True
2 [orange]     orange            True