Python 基于列的2个数据帧之间的负数
我有两个数据帧熊猫df1,df2:Python 基于列的2个数据帧之间的负数,python,pandas,dataframe,Python,Pandas,Dataframe,我有两个数据帧熊猫df1,df2: df1 = pd.DataFrame({'col1': ['A', 'B', 'C', 'D'], 'col2': ["D1","D2","D3","D4"], 'col3': ["C1","C2","C3","C4"],
df1 = pd.DataFrame({'col1': ['A', 'B', 'C', 'D'],
'col2': ["D1","D2","D3","D4"],
'col3': ["C1","C2","C3","C4"],
'col4': ["B1","B2","B3","B4"]})
df2 = pd.DataFrame({'col_ID': ['A', 'D']})
df1=
col1 | col2 | col3 | col4
A | D1 | C1 | B1
B | D2 | C2 | B2
C | D3 | C3 | B3
D | D4 | C4 | B4
和df2:
df2=
col_ID |
A |
D |
我想得到df1.col1中不在df2.colu ID中的行
df1=
col1 | col2 | col3 | col4
B | D2 | C2 | B2
C | D3 | C3 | B3
感谢您的帮助isin
df1[~df1.col1.isin(df2.col_ID)]谢谢你们两位。
df1[~df1.col1.isin(df2.col_ID)]