我有 2 组数据框,如果 df1['Fruits'] 包含 df2['Fruits'] 字符串,我想清理它
df1
Name Fruits
--------------
Dina Pineapple, [Y*]
Maria PTC*, Apple
Johny Durian, 1-6
Johny 5,6 Rambutan
Maria Apple (Red), [Y] *
Dina [Y] *, Peach88
Dina Kiwi/Qiwi, PS*
df2
Fruits tag
-------------
Apple 20
Pineapple 30
Rambutan 40
Durian 50
Apple (Red) 25
Peach88 55
Kiwi/Qiwi 25
我已经尝试过
df1.loc[df1['Fruits'].contains(df2['Fruits']),'Fruits'] = df2['Fruits']
但它显示
'Series' object has no attribute 'contains'
所以我期望得到的是
df1
Name Fruits
--------------
Dina Pineapple
Maria Apple
Johny Durian
Johny Rambutan
Maria Apple (Red)
Dina Peach88
Dina Kiwi/Qiwi
最佳答案
使用pandas.Series.str.extract
:
reg = '(%s)' % '|'.join(df2['Fruits'])
# Make regex expression using df2['Fruits']
df1['Fruits'] = df1['Fruits'].str.extract(reg)
输出:
Name Fruits
0 Dina Pineapple
1 Maria Apple
2 Johny Durian
3 Johny Rambutan
'(%s)' % '|'.join(df2['Fruits']) 的解释
:
'|'.join(df2['Fruits'])
:为正则表达式中的或
操作创建|
分隔的单词。返回菠萝|苹果|榴莲|红毛丹
(%s) % ...
:这称为字符串格式化,相当于:str.format
:'({})'.format('|'.join(df2['Fruits']))
,- 或更隐式(但更少Pythonic)
'(' + '|'.join(df2['Fruits']) + ')'
- 所有这些都返回
(Apple|Pineapple|Rambutan|Durian)
,一个捕获组,对于pd.Series.str.extract 是必需的
知道要提取什么。
关于python - 将困惑的 str 替换为来自另一个数据帧的干净的 str,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/56268260/