punpy.digital_effects_table.digital_effects_table_templates.DigitalEffectsTableTemplates.make_template_main

punpy.digital_effects_table.digital_effects_table_templates.DigitalEffectsTableTemplates.make_template_main#

DigitalEffectsTableTemplates.make_template_main(dims, dim_sizes, str_corr_dims=[], separate_corr_dims=False, str_repeat_noncorr_dims=[], store_unc_percent=False, repeat_dim_err_corrs=[])[source]#

Make the digital effects table template for the case where random, systematic and structured uncertainties are propagated seperately

Parameters:
  • dims (list) – list of dimensions

  • u_xvar_ref (xarray.Variable) – reference uncertainty component that is used to populate repeated dims

  • str_repeat_noncorr_dims (str or list of str, optional) – set to (list of) string(s) with dimension name(s) to select the axis which has repeated measurements. The calculations will be performed seperately for each of the repeated measurments and then combined, in order to save memory and speed up the process. Defaults to [], for which there is no reduction in dimensionality..

Returns:

measurand digital effects table template to be used by obsarray

Return type:

dict