结合在何处
Combining is in and where
如何根据 Pandas
中的奇偶标志创建新列
这是我的数据:
id Flag
001 1
002 2
003 3
004 4
如果标志是偶数则女性,如果标志是奇数则男性,我想要这个输出:
id Flag Gender
001 1 Male
002 2 Female
003 3 Male
004 4 Female
使用 numpy.where
和模 2
来检查偶数和奇数:
df['Gender'] = np.where(df['Flag'] % 2,'Male','Female')
print (df)
id Flag Gender
0 1 1 Male
1 2 2 Female
2 3 3 Male
3 4 4 Female
尝试申请
Id =['001','002','003','004']
Flag=[1,2,3,4]
df=pd.DataFrame({'id':Id,'flag':Flag})
df['gender']=df['flag'].apply(lambda x: 'Male' if x%2 else 'Female')
输出:
id flag gender
0 001 1 Male
1 002 2 Female
2 003 3 Male
3 004 4 Female
如何根据 Pandas
中的奇偶标志创建新列这是我的数据:
id Flag
001 1
002 2
003 3
004 4
如果标志是偶数则女性,如果标志是奇数则男性,我想要这个输出:
id Flag Gender
001 1 Male
002 2 Female
003 3 Male
004 4 Female
使用 numpy.where
和模 2
来检查偶数和奇数:
df['Gender'] = np.where(df['Flag'] % 2,'Male','Female')
print (df)
id Flag Gender
0 1 1 Male
1 2 2 Female
2 3 3 Male
3 4 4 Female
尝试申请
Id =['001','002','003','004']
Flag=[1,2,3,4]
df=pd.DataFrame({'id':Id,'flag':Flag})
df['gender']=df['flag'].apply(lambda x: 'Male' if x%2 else 'Female')
输出:
id flag gender
0 001 1 Male
1 002 2 Female
2 003 3 Male
3 004 4 Female