根据不同条件为不同列添加列| python熊猫

时间:2018-11-20 23:45:27

标签: python pandas dataframe

我有一个包含4列的数据框:

c1        c2        c3      GName
0.221445  0.300534  5.689   KDD
0.001000  0.969000  15.140  ACC
1.000000  0.094000  -0.245  QETF

称为一列的file数据框:

GName
Abd
kkoew
KDD
pwqh
ACC
dsewf

我需要添加新的列调用label,该列调用基于检查c1, c2 and c3GName中的得分

因此,如果3个分数中的大多数都同意其条件(3个分数中的2个或全部3个)并且GName的值存在于数据帧file中; label = 1,否则label = 0

The conditions of c1 should be > 0.95
c2 should be > 0.50
c3 should be > 15

输出将如下所示:

c1        c2        c3      GName label
0.221445  0.300534  5.689   KDD   0  (because 0 out of 3 and KDD in file)
0.001000  0.969000  15.140  ACC   1  (because 2 out of 3 and ACC in file)
1.000000  0.94060  -0.245  QETF   0  (because 2 out of 3 but QETF not in file)

我正在努力应对这些不同的条件,请帮忙吗?

1 个答案:

答案 0 :(得分:1)

我要这样做的方式是这样:

import pandas as pd

df = pd.DataFrame({'c1':[0.221445, 0.001000, 1.000000],
                   'c2':[0.300534, 0.969000, 0.094000],
                   'c3':[5.689, 15.140, -0.245],
                   'GName':['KDD', 'ACC', 'QETF']})
file = pd.DataFrame({'GName':['KDD', 'ACC']})

conditions = (df['c1'] > 0.95).astype(int) + (df['c2'] > 0.5).astype(int) + (df['c3'] > 15).astype(int)
conditions = (conditions >= 2) & (df['GName'].isin(file['GName']))
df['label'] = 0
df.loc[conditions, 'label'] = 1

>>> df
         c1        c2      c3 GName  label
0  0.221445  0.300534   5.689   KDD      0
1  0.001000  0.969000  15.140   ACC      1
2  1.000000  0.094000  -0.245  QETF      0

如果您也可以在问题中包含用于生成数据框的代码,那就太好了。