過濾熊貓據幀

Question

我有熊貓系列，我們會打電話給我想使用作爲篩選一個DF其中approved_fields：

approved_field(['Field1','Field2','Field3')] 

df 
    Field 
0 Field1 
1 Field4 
2 Field2 
3 Field5 
4 Field2 

應用approved_field過濾器後，產生的DF應該像：

Field 
0 Field1 
1 Field2 
2 Field2 

謝謝！

Answer 1

您可以使用isin和布爾索引：

>>> import pandas as pd 
>>> df = pd.DataFrame({"Field": "Field1 Field4 Field2 Field5 Field2".split()}) 
>>> approved_fields = "Field1", "Field2", "Field3" 
>>> df['Field'].isin(approved_fields) 
0  True 
1 False 
2  True 
3 False 
4  True 
Name: Field, dtype: bool 
>>> df[df['Field'].isin(approved_fields)] 
    Field 
0 Field1 
2 Field2 
4 Field2 

Answer 2

請注意，您在您的預期解決方案指數掉

In [16]: approved_field = ['Field1','Field2','Field3'] 

In [17]: df = DataFrame(dict(Field = ['Field1','Field4','Field2','Field5','Field2'])) 

In [18]: df 
Out[18]: 
    Field 
0 Field1 
1 Field4 
2 Field2 
3 Field5 
4 Field2 

In [19]: df[df.Field.isin(approved_field)] 
Out[19]: 
    Field 
0 Field1 
2 Field2 
4 Field2