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previous year's data, I will adjust the number by ~80% YoY, as we've estimated before. exist_model_upd_stats_df = exist_model_upd.pivot_table( index = 'date', columns = 'trigger', values = 'user_id', aggfunc = 'nunique' ).fillna(0) exist_model_upd_stats_df = exist_model_upd_stats_df\ .map(lambda x: