sensortoolkit.model._apply_correction.individual_corr

individual_corr(param=None, df_list=None, stats_df=None)[source]

Apply an individual correction to each sensor dataset based on the OLS regression slope and intercept values in the passed statistics dataframe.

Parameters
  • param (str) – The evaluation parameter.

  • df_list (list) – List of sensor dataframes.

  • stats_df (pandas dataframe) – Statistics dataframe containing OLS regression statisitcs including slope and intercept for either sensor vs. FRM/FEM regression or sensor vs. intersensor regression.

Returns

List of modified dataframes with column added for corrected parameter values.

Return type

df_list (list)