Question

我对CSV文件进行了排序以进行一些计算。 Python 2.7

import pandas as pd
df = pd.read_csv('Cliente_x_Pais_Sitio.csv', sep=',')
df1 = df.sort_values(by=['Cliente','Auth_domain','Sitio',"Country"])
df1.to_csv('test.csv')

CSV数据（test.csv）：

Cliente,Fecha,Auth_domain,Sitio,Country,ECPM_medio
FF,15/12/2017,@ff,ff_Color,AfganistÃ¡n,0.53
FF,15/01/2018,@ff,ff_Color,AfganistÃ¡n,0.5
FF,15/01/2017,@ff,ff_Color,Alemania,0.34
FF,15/12/2017,@ff,ff_Color,Alemania,0.38
FF,15/01/2018,@ff,ff_Color,Alemania,0.37

我需要什么：

if (15/12/2017 ECPM) ≤ (15/01/2018 ECPM):
    if ((15/12/2017 ECPM)*0.8) ≥ (15/01/2017 ECPM):
        r = (15/01/2017 ECPM)
    else:
        r = ((15/12/2017 ECPM)*0.8)
else:
    if (15/01/2018 ECPM) ≥ (15/01/2017 ECPM):
        r = (15/01/2017 ECPM)
    else:
        r = (15/01/2018 ECPM)

填写实际数据，前两行是：

if 0.53 ≤ 0.5:
    if 0.5 ≥ 0: #if we don't have the cell value I would like to add a 0 True
        r = 0.5

请记住我有超过10,000行的儿子我需要一个多表格

新的CSV应该告诉我：

Cliente,Auth_domain,Sitio,Country,Recomendation_ECPM
FF,@ff,ff_Color,AfganistÃ¡n,0.5
FF,@ff,ff_Color,Alemania,0.34

Answer 1

我不确定我有正确的

[[[[[[[[[[[[[[[[[[[['popji']]]]]]]]]]]]]]]]]]或
setval

但管道无论使用sort，group_by还是transform。因为我们会先将compare_val（nan首先与最后的shift(-1)进行比较，然后我们必须将其删除。

shift(1)

使用Python比较CSV行

1 个答案: