Mar-10-2022, 05:03 PM
(This post was last modified: Mar-11-2022, 06:18 AM by Yoriz.
Edit Reason: removed unnecessary quote of previous post
)
But i want to create 3 different DataFrame, exactly like the example i gave :
Table_2016=pd.read_pickle("./0_DATA/0_raw/Table_PM_2016.pkl")
Table_2017=pd.read_pickle("./0_DATA/0_raw/Table_PM_2017.pkl")
Table_2018=pd.read_pickle("./0_DATA/0_raw/Table_PM_2018.pkl")
Table_2016=pd.read_pickle("./0_DATA/0_raw/Table_PM_2016.pkl")
Table_2017=pd.read_pickle("./0_DATA/0_raw/Table_PM_2017.pkl")
Table_2018=pd.read_pickle("./0_DATA/0_raw/Table_PM_2018.pkl")