将熊猫数据框转换为具有以下格式的excel答案

【问题标题】：Transforming pandas data frame into excel with below format将熊猫数据框转换为具有以下格式的excel
【发布时间】：2020-11-04 16:49:40
【问题描述】：

我的 pandas 数据框如下所示。

我需要在 python 中将上述数据框转换为如下所示，并将结果保存在具有适当缩进的 Excel 工作表中。

任何帮助将不胜感激。谢谢

【问题讨论】：

标签： python-3.x excel pandas excel-formula

【解决方案1】：

df = pd.DataFrame({"CLIENTID":["A","A","A","I","I"], "Key1":["VI","SA","SU","RA","RA"], 
              "Key2":["NA","RA","VI","VI","VI"], "Key3":["KA","AZ","KA","NA","SA"],
              "Key4":["AV","AV","AZ","AZ","SU"], "Value1":["1-3","2-5","234","78-127","0-28"],
              "Value2":["as","ad","adw","ds","sd"],"Value3":["ads","add","addw","dfs","wsd"],
              "Value4":["N","Y","N","N","TRUE"], "AVG":[123,321,344,233,432], "AMOUNT":[98,67,45,44,56]})

l1 = []
l2 = []
l3 = []
l4 = []

for key,value in df.iterrows():
    l1.append(value[0])
    temp = value[1]+": "+value[5]+"\n"+value[2]+": "+value[6]+"\n"+value[3]+": "+value[7]+"\n"+value[4]+": "+value[8]
    l2.append(temp)
    l3.append(value[9])
    l4.append(value[10])

updated_df = pd.DataFrame(list(zip(l1,l2,l3,l4)),columns =['CLIENTID', "Key-Value","AVG","AMOUNT"])
updated_df.to_csv("data.csv")

当您打开 csv 文件时，使用自动换行来查看快照中提到的详细信息。

【讨论】：