Open bl-young opened 8 months ago
Comparing results by FacilityID shows a number of differences for individual facilities.
FacilityID
import stewicombo sc1 = stewicombo.getInventory('NEI_TRI_air_2017_v1.1.1_ff2903a') sc2 = stewicombo.getInventory('NEI_TRI_air_seccntx_2017_v1.1.1_ff2903a') sc1 = sc1.groupby(['FacilityID']).agg({'FlowAmount':'sum'}) sc2 = sc2.groupby(['FacilityID']).agg({'FlowAmount':'sum'}) s = (pd.merge(sc1, sc2, on='FacilityID') .rename(columns=rename_flow_cols) .assign(Rel=lambda x: x['m1'] / x['m2']) .query('Rel >= 1.01 or Rel <= 0.99') )
However the same review by FlowName does not.
FlowName
import stewicombo sc1 = stewicombo.getInventory('NEI_TRI_air_2017_v1.1.1_ff2903a') sc2 = stewicombo.getInventory('NEI_TRI_air_seccntx_2017_v1.1.1_ff2903a') sc1 = sc1.groupby(['FlowName']).agg({'FlowAmount':'sum'}) sc2 = sc2.groupby(['FlowName']).agg({'FlowAmount':'sum'}) s = (pd.merge(sc1, sc2, on='FlowName') .rename(columns=rename_flow_cols) .assign(Rel=lambda x: x['m1'] / x['m2']) .query('Rel >= 1.01 or Rel <= 0.99') )
This suggests to me that a different approach is being taken to handle the reported FacilityID. This has downstream ramifications for assigning sectors/NAICS in flowsa/USEEIO
Comparing results by
FacilityID
shows a number of differences for individual facilities.However the same review by
FlowName
does not.This suggests to me that a different approach is being taken to handle the reported FacilityID. This has downstream ramifications for assigning sectors/NAICS in flowsa/USEEIO