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'model_existing_users'}) # adjusting dates from 2023 to 2024 existing_model_df['date'] = existing_model_df.model_date.map( lambda x: datetime.datetime.strptime(x, '%Y-%m-%d') + datetime.timedelta(364) ) existing_model_df = existing_model_df.set_index('date')\ .join(active_forecast_df[['yoy']]) #