cross_section module

cross_section module#

cross_section.py#

Function to construct cross section of data for given year.

Functions included in the file:
  • cross_section

    Cross-sectional data slicer, selects a single year of the data dictionary.

cross_section.cross_section(data_in, dimensions, year, y, scenario, econometrics=None, lag=None, lag_sales=None)#

Construct cross section of data for given year.

Parameters:

  • data_in (dictionary of numpy arrays) – Data to take the cross-section from

  • dimensions (dictionary of tuples) – Dictionary with the dimensions of all variables

  • year (int) – The index of the year

  • scenario (string) – The name of the scenario

  • econometrics (dataframe) – Optional argument, variable names for the econometrics

  • lag (int) – Optional argument, the lag to take the cross-section of

  • lag_sales (dictionary of dataframes) – Optional argument, target country and number of lags for the lagged sales specification.

Returns:

data_out – Dictionary of numpy array for a single given year

Return type:

dictionary of numpy arrays