import pandas as pd | |
import Generate | |
import config | |
Aircomp_df=pd.read_csv('D:/project/aircompressordata.csv') | |
#df=Aircomp_df.drop(config.DROP_COLOUMNS,axis=1) | |
Energy_df=pd.read_csv('D:/project/energymeter.csv') | |
boiler_df=pd.read_csv('D:/project/Boiler1.csv') | |
''' | |
preds=Generate.inference_Aircomp("2023-07-31 23:00:00",Aircomp_df) | |
print(preds) | |
preds=Generate.inference_Energy("2023-07-13 12:00:50",Energy_df) | |
print(preds) | |
''' | |
preds=Generate.inference_boiler("2023-04-30 01:59:00",boiler_df) | |
print(preds) |