使用LightGBM进行饭店流量预测（1）数据处理

    import pandas as pd
    air_visit = pd.read_csv('air_visit_data.csv')
    air_visit.index = pd.to_datetime(air_visit['visit_date'])
    air_visit.head()
    
    
      
      
      
      
    

    # 按天来算
    air_visit = air_visit.groupby('air_store_id').apply(lambda i: i['visitors'].resample('1d'))
    
    # 缺失值填0
    air_visit['visit_date'] = air_visit['visit_date'].dt.strftime('%Y-%m-%d')
    air_visit['was_mil'] = air_visit['visitors'].isnull()