正在寻找一个python脚本来实现这一点。以下仅为示例，值是以秒为单位的CPU消耗量。
I have a CSV in the format:
col1 col2 col3 col4 Apr2018 May2018 June2018 July 2018
-----------------------------------------------------------------
Job1 ABD dt.com BU1 45087 67547 876465 987564
Job2 ACS pl.com BU2 94768 87658 987689 97678
Now I want to be able to get like this in a dataframe/ Table
col1 col2 col3 col4 Date Value
---------------------------------------------
Job1 ABD dt.com BU1 Apr2018 45087
Job1 ABD dt.com BU1 May2018 67547
Job1 ABD dt.com BU1 June2018 876465
Job1 ABD dt.com BU1 July2018 987564
Job2 ACS pl.com BU2 Apr2018 94768
Job2 ACS pl.com BU2 May2018 87658
Job2 ACS pl.com BU2 June2018 987689
Job2 ACS pl.com BU2 July2018 97678
import pandas as pd
df=pd.read_csv("csv file")
convert_df = pd.melt(df, id_vars=["col1","col2","col3,"col4"],
var_name="Date", value_name="Value")
convert_df = convert_df.sort(["col1","col2","col3,"col4"])
print(convert_df)
pandas数据帧中存在函数熔体。