if you please write the tables names as written in demo what are these tables it will help. Thanks
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rehananis commented
I was looking for 2019 IO table but it look like it is already normalized. if you kindly mention the name of these tables it could help me to understand the code. Thanks
self.V = pd.DataFrame()
self.U = pd.DataFrame()
self.A = pd.DataFrame() # technology matrix, covering 13 Canadian provinces, 44 country and 5 Rest of the World region
self.K = pd.DataFrame() # capital matrix (only available if you chose to endogenize capitals)
self.Z = pd.DataFrame()
self.W = pd.DataFrame()
self.R = pd.DataFrame() # normalized value added
self.Y = pd.DataFrame() # final demand
self.WY = pd.DataFrame()
self.g = pd.DataFrame()
self.inv_g = pd.DataFrame()
self.q = pd.DataFrame()
self.inv_q = pd.DataFrame()
self.F = pd.DataFrame() # environmental flow matrix
self.S = pd.DataFrame() # normalized environmental flow matrix
self.FY = pd.DataFrame() # direct emissions from final demand
self.C = pd.DataFrame() # characterization matrix (using IW+)
self.INT_imports = pd.DataFrame()
self.L = pd.DataFrame() # Leontief inverse
self.E = pd.DataFrame()
self.D = pd.DataFrame() # total emissions per final demand sector
self.who_uses_int_imports_U = pd.DataFrame()
self.who_uses_int_imports_K = pd.DataFrame()
self.who_uses_int_imports_Y = pd.DataFrame()
self.A_exio = pd.DataFrame()
self.K_exio = pd.DataFrame()
self.S_exio = pd.DataFrame()
self.F_exio = pd.DataFrame()
self.C_exio = pd.DataFrame()
self.link_openio_exio_A = pd.DataFrame()
self.link_openio_exio_K = pd.DataFrame()
self.link_openio_exio_Y = pd.DataFrame()
self.merchandise_imports = pd.DataFrame()
self.merchandise_imports_scaled_U = pd.DataFrame()
self.merchandise_imports_scaled_K = pd.DataFrame()
self.merchandise_imports_scaled_Y = pd.DataFrame()
self.minerals = pd.DataFrame()
MaximeAgez commented
You identified the main ones that are used to make the calculations. The others are only necessary to construct the matrices you identified.
You can look at V (Supply matrix) and U (Use matrix) also. The rest does not really matter.