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datetime.timedelta(7*x)) ) # adjusting demand by weight next_group_demand_df['users'] = (next_group_demand_df.users * next_group_share).map(lambda x: int(round(x))) # labelling the segment next_group_demand_df['segment'] = 'existing, cohort = %s' % cohort # updating the plan raw_demand_est_model_df