我在数据框中有两列都是字符串，其中column1在column2中有一些匹配的关键字。我想从新列中的column1和column2中提取那些匹配的关键字。
df['column3']=df.column1.apply(lambda x : df.column2[df.column2.str.contains(x)]
我期望输出是这样的
column1 column2 column3
A girl is going to market girl market school girl market
A girl is going to school girl market school girl school
The sky is blue in color sky blue orange color sky blue color
最佳答案
使用apply
例如：
df["column3"] = df.apply(lambda x: " ".join(i for i in x["column2"].split() if i in x["column1"]),axis=1)
print(df)
输出：
column1 column2 column3
0 A girl is going to market girl market school girl market
1 A girl is going to school girl market school girl school
2 The sky is blue in color sky blue orange color sky blue color
关于python-3.x - 如何从 Pandas 数据框中的两列中提取匹配的关键字？，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/56325012/