使用isin和否定布尔掩码：
people_usa[~people_usa['ID'].isin(people_all ['ID'])]
例：
In [364]:
people_all = pd.DataFrame({ 'ID' : np.arange(5)})
people_usa = pd.DataFrame({ 'ID' : [3,4,6,7,100]})
people_usa[~people_usa['ID'].isin(people_all['ID'])]
Out[364]:
ID
2 6
3 7
4 100
因此从结果中删除了3和4，布尔掩码如下所示：
In [366]:
people_usa['ID'].isin(people_all['ID'])
Out[366]:
0 True
1 True
2 False
3 False
4 False
Name: ID, dtype: bool
使用~反转蒙版
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