CIRAIG/OpenIO-Canada

if you please write the tables names as written in demo what are these tables it will help. Thanks

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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()

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.