Date
{'cnr1_T_C_Avg': 'CNR1TC_Avg', 'cnr1_T_K_Avg': 'CNR1TK_Avg'}.
What about cnr4_T_C_Avg? cnr{num}_T_C_Avg? cnr{num}_T_K_Avg?cnr4_T_C_Avg : CNR4TC_Avg.
Raw Precip data example:
2021-03-26 09:00:00 is 0.2
2021-03-26 09:05:00 is 0.0
2021-03-26 09:15:00 is 0.1
This when insert_timestamp() method in mastermetProcessor.py is run :
2021-03-26 09:00:00 is 0.2
2021-03-26 09:05:00 is 0.0
2021-03-26 09:10:00 is NAN
2021-03-26 09:15:00 is 0.1
Now in aggreagate_precip() in mastermetprocessor.py :
2021-03-26 09:00:00 is NAN
Now in data_merge() n mastermetProcessor.py :
2021-03-26 09:00:00 all met tower variables will have data but precip_IWS is NAN.