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@@ -1,513 +1,447 @@
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class CustConfig:
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FEATURE_COLUMNS = [
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- "BB_RETAIL_CUSTOMER_CODE", # 零售户代码
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- "BB_RTL_CUST_GRADE_NAME", # 零售户分档名称
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- "BB_RTL_CUST_MARKET_TYPE_NAME", # 零售户市场类型名称
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- "STORE_AREA", # 店铺经营面积
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- "BB_RTL_CUST_BUSINESS_TYPE_NAME", # 零售户业态名称
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- "OPERATOR_EDU_LEVEL", # 零售客户经营者文化程
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- "OPERATOR_AGE", # 经营者年龄
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- "BB_RTL_CUST_CHAIN_FLAG", # 零售户连锁标识
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- "PRESENT_STAR_TERMINAL", # 终端星级
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- "MD04_MG_RTL_CUST_CREDITCLASS_NAME", # 零售户信用等级名称
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- "MD04_DIR_SAL_STORE_FLAG", # 直营店标识
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- "BB_CUSTOMER_MANAGER_SCOPE_NAME", # 零售户经营范围名称
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- "PRODUCT_INSALE_QTY", # 在销品规数
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- # "CUST_INVESTMENT", # 店铺资源投入建设
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-
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- # "NEW_PRODUCT_MEMBERS_QTY_SAMEPRICE_OCC", # 新品订货量占同价类比重
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- # "PRODUCT_LISTING_RATE", # 品规上架率
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- # "STOCKOUT_DAYS", # 断货天数
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- # "YLT_TURNOVER_RATE", # 易灵通动销率
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- # "YLT_BAR_PACKAGE_SALE_OCC", # 易灵通条包销售占比
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- # "UNPACKING_RATE", # 拆包率
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-
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-
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- # "BB_RTL_CUST_POSITION_TYPE_NAME", # 零售户商圈类型名称
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-
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- # "BB_RTL_CUST_SUB_BUSI_PLACE_NAME", # 零售户业态细分名称
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-
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- # "BB_RTL_CUST_TERMINAL_LEVEL_NAME", # 零售户终端层级名称
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- # "BB_RTL_CUST_TERMINALEVEL_NAME", # 零售户终端层级细分名称
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- # "MD04_MG_SAMPLE_CUST_FLAG", # 样本户标识
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- # "MD07_RTL_CUST_IS_SALE_LARGE_FLAG", # 零售户大户标识
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- # "BB_RTL_CUST_OPERATE_METHOD_NAME", # 零售户经营方式名称
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- # "BB_RTL_CUST_CGT_OPERATE_SCOPE_NAME", # 零售户卷烟经营规模名称
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-
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- # "AVERAGE_CONSUMER_FLOW", # 月均消费人流
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- # "NEW_PRODUCT_MEMBERS_QTY", # 新品消费会员数量
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+ "BB_RETAIL_CUSTOMER_CODE", # 零售户代码
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+ "BB_RTL_CUST_MARKET_TYPE_NAME", # 零售户市场类型名称
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+ "BB_RTL_CUST_BUSINESS_TYPE_NAME", # 零售客户业态名称
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+ "BB_RTL_CUST_CHAIN_FLAG", # 零售户连锁标识
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+ "MD04_MG_RTL_CUST_CREDITCLASS_NAME", # 零售户信用等级名称
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+ "MD04_DIR_SAL_STORE_FLAG", # 直营店标识
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+ "BB_CUSTOMER_MANAGER_SCOPE_NAME", # 零售户经营范围名称
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+ "BB_RTL_CUST_TERMINAL_LEVEL_NAME", # 零售户终端层级名称
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+ "OPERATOR_EDU", # 零售客户经营者文化程度
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+ "STORE_AREA", # 店铺经营面积
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+ "OPERATOR_AGE", # 经营者年龄
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+ "PRODUCT_INSALE_QTY", # 在销品规数
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]
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- # 数据清洗规则
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- CLEANING_RULES = {
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- "BB_RTL_CUST_GRADE_NAME": {"method": "fillna", "opt": "fill", "value": "十五档", "type": "str"},
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- "BB_RTL_CUST_MARKET_TYPE_NAME": {"method": "fillna", "opt": "fill", "value": "城网", "type": "str"},
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- "STORE_AREA": {"method": "fillna", "opt": "mean", "type": "num"},
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- "BB_RTL_CUST_BUSINESS_TYPE_NAME": {"method": "fillna", "opt": "fill", "value": "其他", "type": "str"},
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- "OPERATOR_EDU_LEVEL": {"method": "fillna", "opt": "fill", "value": "无数据", "type": "str"},
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- "OPERATOR_AGE": {"method": "fillna", "opt": "mean", "type": "num"},
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- "BB_RTL_CUST_CHAIN_FLAG": {"method": "fillna", "opt": "fill", "value": "否", "type": "str"},
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- "PRESENT_STAR_TERMINAL": {"method": "fillna", "opt": "fill", "value": "非星级", "type": "str"},
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- "MD04_MG_RTL_CUST_CREDITCLASS_NAME": {"method": "fillna", "opt": "fill", "value": "B", "type": "str"},
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- "MD04_DIR_SAL_STORE_FLAG": {"method": "fillna", "opt": "fill", "value": "否", "type": "str"},
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- "BB_CUSTOMER_MANAGER_SCOPE_NAME": {"method": "fillna", "opt": "fill", "value": "否", "type": "str"},
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- "PRODUCT_INSALE_QTY": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "CUST_INVESTMENT": {"method": "fillna", "opt": "fill", "type": 0}
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-
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-
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- # "NEW_PRODUCT_MEMBERS_QTY_SAMEPRICE_OCC": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "PRODUCT_LISTING_RATE": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "STOCKOUT_DAYS": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "YLT_TURNOVER_RATE": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "NEW_PRODUCT_MEMBERS_QTY": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "PRODUCT_INSALE_QTY": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "UNPACKING_RATE": {"method": "fillna", "opt": "mean", "type": "num"},
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-
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- # "BB_RTL_CUST_POSITION_TYPE_NAME": {"method": "fillna", "opt": "fill", "value": "其他", "type": "str"},
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- # "BB_RTL_CUST_SUB_BUSI_PLACE_NAME": {"method": "fillna", "opt": "fill", "value": "其他", "type": "str"},
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- # "BB_RTL_CUST_TERMINALEVEL_NAME": {"method": "fillna", "opt": "replace", "value": "BB_RTL_CUST_TERMINAL_LEVEL_NAME", "type": "str"},
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- # "MD04_MG_SAMPLE_CUST_FLAG": {"method": "fillna", "value": "N", "opt": "fill"},
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- # "MD07_RTL_CUST_IS_SALE_LARGE_FLAG": {"method": "fillna", "value": "N", "opt": "fill"},
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- # "BB_RTL_CUST_CGT_OPERATE_SCOPE_NAME": {"method": "fillna", "value": "中", "opt": "fill"},
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- }
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ONEHOT_CAT = {
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- "BB_RTL_CUST_GRADE_NAME": ['一档', '二档', '三档', '四档', '五档', '六档', '七档', '八档', '九档', '十档', '十一档', '十二档',
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- '十三档', '十四档', '十五档', '十六档', '十七档', '十八档', '十九档', '二十档', '二十一档', '二十二档',
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- '二十三档', '二十四档', '二十五档', '二十六档', '二十七档', '二十八档', '二十九档', '三十档'],
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- "BB_RTL_CUST_MARKET_TYPE_NAME": ["城网", "农网"],
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- "BB_RTL_CUST_BUSINESS_TYPE_NAME": ["便利店", "超市", "烟草专业店", "娱乐服务类", "其他"],
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- "OPERATOR_EDU_LEVEL": [1, 2, 3, 4, 5, 6, 7, "无数据"],
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- "BB_RTL_CUST_CHAIN_FLAG": ["是", "否"],
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- "PRESENT_STAR_TERMINAL": ["一星", "二星", "三星", "四星", "五星", "非星级"],
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- "MD04_MG_RTL_CUST_CREDITCLASS_NAME": ["AAA", "AA", "A", "B", "C", "D"],
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- "MD04_DIR_SAL_STORE_FLAG": ["是", "否"],
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- "BB_CUSTOMER_MANAGER_SCOPE_NAME": ["是", "否"],
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-
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-
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-
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- # "BB_RTL_CUST_POSITION_TYPE_NAME": ["居民区", "商业娱乐区", "交通枢纽区", "旅游景区", "工业区", "集贸区", "院校学区", "办公区", "其他"]
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+ "BB_RTL_CUST_MARKET_TYPE_NAME": ["城网", "农网"],
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+ "BB_RTL_CUST_BUSINESS_TYPE_NAME": ["便利店", "超市", "烟草专业店", "娱乐服务类", "其他"],
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+ "BB_RTL_CUST_CHAIN_FLAG": ["是", "否"],
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+ "MD04_MG_RTL_CUST_CREDITCLASS_NAME": ["AAA", "AA", "A", "B", "C", "D"],
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+ "MD04_DIR_SAL_STORE_FLAG": ["是", "否"],
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+ "BB_CUSTOMER_MANAGER_SCOPE_NAME": ["是", "否"],
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+ "BB_RTL_CUST_TERMINAL_LEVEL_NAME": ["普通终端", "一般现代终端", "合作终端", "加盟终端", "直营终端"],
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+ "OPERATOR_EDU": [1, 2, 3, 4, 5, 6, 7, "无数据"],
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+ "STORE_AREA": ["0-20", "21-50", "51-100", "101-150", "151-200", "201-300", "301-400", "401-600", "601-1000", "1001-2000", "2000以上"],
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+ "OPERATOR_AGE": ["19-30", "31-40", "41-50", "51-65", "66-80", "80以上"],
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+ "PRODUCT_INSALE_QTY": ["0-10", "11-20", "21-30", "31-40", "41-50", "51-60",
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+ "61-70", "71-80", "81-90", "91-100", "101-110", "111-120",
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+ "121-130", "131-140", "141-150", "151-160", "161-170", "171-180",
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+ "181-190", "191-200", "201-210", "211-220", "221-230", "231-240",
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+ "241-250", "251-260", "261-270", "271-280", "281-290", "291-350"],
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}
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-
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-
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-
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+
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class ProductConfig:
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FEATURE_COLUMNS = [
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- "product_code", # 商品编码
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- "direct_retail_price", # 建议零售价
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- "is_low_tar", # 是否低焦油烟
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- "tar_qty", # 焦油含量
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- "is_exploding_beads", # 是否爆珠
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- "is_shortbranch", # 是否短支烟
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- "is_medium", # 是否中支烟
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- "is_tiny", # 是否细支
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- "product_style_code_name", # 包装类型名称
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- "org_is_abnormity", # 是否异形包装
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- "is_chuangxin", # 是否创新品类
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- "is_key_brand", # 是否重点品牌
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- "foster_level_hy", # 是否行业共育品规
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- "foster_level_sj", # 是否省级共育品规
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- "is_cigar", # 是否雪茄型卷烟
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- "co_qty", # 一氧化碳含量
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- "tbc_total_length", # 烟支总长度
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- "tbc_length", # 烟支长度
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- "filter_length", # 滤嘴长度
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-
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-
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-
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- # "adjust_price", # 含税调拨价
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- # "notwithtax_adjust_price", # 不含税调拨价
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- # "whole_sale_price", # 统一批发价
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- # "allot_price", # 调拨价
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- # "direct_whole_price", # 批发指导价
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- # "retail_price", # 零售价
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- # "price_type_name", # 卷烟价类名称
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- # "gear_type_name", # 卷烟档位名称
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- # "category_type_name", # 卷烟品类名称
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- # "is_high_level", # 是否高端烟
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- # "is_upscale_level", # 是否高端烟不含高价
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- # "is_high_price", # 是否高价烟
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- # "is_low_price", # 是否低价烟
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- # "is_encourage", # 是否全国鼓励品牌
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- # "is_abnormity", # 是否异形包装
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- # "is_intake", # 是否进口烟
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- # "is_short", # 是否紧俏品牌
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- # "is_ordinary_price_type", # 是否普一类烟
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- # "source_type", # 来源类型
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- # "chinese_mix", # 中式混合
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- # "sub_price_type_name", # 细分卷烟价类名称
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+ "city_uuid", # 地市id
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+ "product_code", # 商品编码
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+ "factory_name", # 产地(工业公司名称)
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+ "brand_name", # 品牌名称
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+ "is_low_tar", # 低焦油卷烟
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+ "is_medium", # 中支烟
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+ "is_tiny", # 细支烟
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+ "is_coarse", # 粗支烟（同时非中非细）
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+ "is_exploding_beads", # 爆珠烟
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+ "no_is_exploding_beads", # 非爆珠烟
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+ "is_abnormity", # 异形包装
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+ "no_is_abnormity", # 非异形包装
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+ "is_cig", # 雪茄烟
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+ "no_is_cig", # 非雪茄烟
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+ "is_chuangxin", # 创新品类
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+ "no_is_chuangxin", # 非创新品类
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+ "direct_retail_price", # 卷烟建议零售价
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+ "tbc_total_length", # 烟支总长度
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+ "product_style", # 包装类型
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]
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- CLEANING_RULES = {
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- "direct_retail_price": {"method": "fillna", "opt": "mean", "type": "num"},
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- "is_low_tar": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "tar_qty": {"method": "fillna", "opt": "mean", "type": "num"},
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- "is_exploding_beads": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "is_shortbranch": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "is_medium": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "is_tiny": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "product_style_code_name": {"method": "fillna", "opt": "fill", "type": "str", "value": "其他"},
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- "org_is_abnormity": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "is_chuangxin": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "is_key_brand": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "foster_level_hy": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "foster_level_sj": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "is_cigar": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- "co_qty": {"method": "fillna", "opt": "mean", "type": "num"},
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- "tbc_total_length": {"method": "fillna", "opt": "mean", "type": "num"},
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- "tbc_length": {"method": "fillna", "opt": "mean", "type": "num"},
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- "filter_length": {"method": "fillna", "opt": "mean", "type": "num"},
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-
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-
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- # "adjust_price": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "notwithtax_adjust_price": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "whole_sale_price": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "allot_price": {"method": "fillna", "opt": "fill", "type": "num", "value": 0.0},
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- # "direct_whole_price": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "retail_price": {"method": "fillna", "opt": "mean", "type": "num"},
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- # "price_type_name": {"method": "fillna", "opt": "fill", "type": "str", "value": "一类烟"},
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- # "gear_type_name": {"method": "fillna", "opt": "fill", "type": "str", "value": "其他"},
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- # "category_type_name": {"method": "fillna", "opt": "fill", "type": "str", "value": "其他"},
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- # "is_high_level": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_upscale_level": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_high_price": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_low_price": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_encourage": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_abnormity": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_intake": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
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- # "is_short": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
|
|
|
- # "is_ordinary_price_type": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
|
|
|
- # "source_type": {"method": "fillna", "opt": "fill", "type": "str", "value": "其他"},
|
|
|
- # "chinese_mix": {"method": "fillna", "opt": "fill", "type": "str", "value": "否"},
|
|
|
- # "sub_price_type_name": {"method": "fillna", "opt": "fill", "type": "str", "value": "普一类烟"},
|
|
|
- }
|
|
|
-
|
|
|
-
|
|
|
ONEHOT_CAT = {
|
|
|
- "is_low_tar": ["是", "否"],
|
|
|
- "is_exploding_beads": ["是", "否"],
|
|
|
- "is_shortbranch": ["是", "否"],
|
|
|
- "is_medium": ["是", "否"],
|
|
|
- "is_tiny": ["是", "否"],
|
|
|
- "product_style_code_name": ["条盒硬盒", "条包硬盒", "条盒软盒", "条包软盒", "铁盒", "其他"],
|
|
|
- "org_is_abnormity": ["是", "否"],
|
|
|
- "is_chuangxin": ["是", "否"],
|
|
|
- "is_key_brand": ["是", "否"],
|
|
|
- "foster_level_hy": ["是", "否"],
|
|
|
- "foster_level_sj": ["是", "否"],
|
|
|
- "is_cigar": ["是", "否"],
|
|
|
-
|
|
|
-
|
|
|
-
|
|
|
- # "price_type_name": ["一类烟", "二类烟", "三类烟", "四类烟", "五类烟", "无价类"],
|
|
|
- # "gear_type_name": ["第一档位", "第二档位", "第三档位", "第四档位", "第五档位", "第六档位", "第七档位", "第八档位", "其他"],
|
|
|
- # "category_type_name": ["第1品类", "第2品类", "第3品类", "第4品类", "第5品类", "第6品类", "第7品类",
|
|
|
- # "第8品类", "第9品类", "第10品类", "第11品类", "第12品类", "第13品类", "其他"],
|
|
|
- # "is_high_level": ["是", "否"],
|
|
|
- # "is_upscale_level": ["是", "否"],
|
|
|
- # "is_high_price": ["是", "否"],
|
|
|
- # "is_low_price": ["是", "否"],
|
|
|
- # "is_encourage": ["是", "否"],
|
|
|
- # "is_abnormity": ["是", "否"],
|
|
|
- # "is_intake": ["是", "否"],
|
|
|
- # "is_short": ["是", "否"],
|
|
|
- # "is_ordinary_price_type": ["是", "否"],
|
|
|
- # "source_type": ["是", "否"],
|
|
|
- # "chinese_mix": ["是", "否"],
|
|
|
- # "sub_price_type_name": ["高端烟", "高价位烟", "普一类烟", "二类烟", "三类烟", "四类烟", "五类烟", "无价类"],
|
|
|
+ "factory_name": ["安徽中烟", "澳门云福卷烟厂", "北欧烟草集团", "博格集团", "重庆中烟", "川渝中烟", "菲利普莫里斯亚洲",
|
|
|
+ "福建中烟", "甘肃工业", "广东中烟", "广西中烟", "贵州中烟", "海南红塔", "河北中烟", "河南中烟",
|
|
|
+ "黑龙江工业", "红塔辽宁烟草", "湖北中烟", "湖南中烟", "吉林工业", "家源开发股份有限公司",
|
|
|
+ "嘉莱赫国际有限公司", "江苏中烟", "江西中烟", "凯德控股有限公司", "力量雪茄烟草有限公司",
|
|
|
+ "南洋兄弟烟草股份", "内蒙古昆明卷烟", "日本烟草（香港）有限公司", "三宝麟国际集团", "厦门调拨站",
|
|
|
+ "山东中烟", "山西昆明烟草", "陕西中烟", "上海烟草(集团)公司", "上海烟草公司", "深圳工业", "四川中烟",
|
|
|
+ "特富意烟草(国际)", "雪茄客烟草国际贸易有限公司", "耀莱雪茄控股有限公司", "引领国际有限公司",
|
|
|
+ "英飞烽香港有限公司", "英美烟草中国有限公司", "云南中烟", "浙江中烟", "中茄国际贸易有限公司",
|
|
|
+ "中烟英美烟草国际有限公司", "株式会社 KT&G"],
|
|
|
+ "brand_name": ["万宝路", "555", "骆驼(国外)", "大华", "娇子", "大青山", "龙凤呈祥", "黄鹤楼", "真龙", "七匹狼",
|
|
|
+ "芙蓉王", "双喜(广)", "贵烟", "钓鱼台", "红双喜(南洋)", "云烟", "蒙特", "富恩特", "拉·加莱拉", "苏烟",
|
|
|
+ "丹纳曼", "黄山", "南京", "利群", "金桥", "泰山", "好日子", "石林", "美登", "红河", "嘉辉", "七星",
|
|
|
+ "都彭", "天下秀", "长城", "高希霸", "钻石", "金圣", "王冠雪茄", "黄金叶", "中南海", "长白山", "红旗渠",
|
|
|
+ "建牌", "大卫杜夫", "罗密欧", "茂大", "红金龙", "天子", "熊猫", "双喜(深)", "大前门", "兰州",
|
|
|
+ "红双喜(沪)", "雄狮", "广州", "红玫王", "黄果树", "红塔山", "福", "小熊猫", "爱喜", "蒙特利", "玉溪",
|
|
|
+ "都宝", "麦克纽杜", "卡里罗", "中华", "牡丹(沪)", "阿里山", "顺百利", "白沙", "羊城", "白云",
|
|
|
+ "特美思", "国宾", "帕特加", "比德奥", "冬虫夏草", "威龙（湛江）", "香格里拉", "红梅", "延安",
|
|
|
+ "特富意", "石狮", "金香港", "好猫", "登喜路", "乐迪", "林海灵芝", "椰树", "北京", "大红鹰", "大丰收",
|
|
|
+ "红双喜(武汉)", "五叶神", "狮", "优民", "将军", "遵义", "恒大", "飞马", "红三环", "芙蓉", "工字",
|
|
|
+ "古田", "狮牌", "君力", "哈尔滨", "梦都", "香梅(阜阳)", "哈德门", "梅州", "红山茶", "猴王", "沙龙",
|
|
|
+ "潘趣", "狮子牌", "上海", "红玫", "醒宝", "广州湾", "百乐门", "关塔那摩", "威斯", "五一", "寿百年",
|
|
|
+ "人民大会堂", "土楼", "三沙", "西湖", "光明", "阿诗玛", "宝亨", "恭贺新禧", "长寿", "茶花", "迎客松",
|
|
|
+ "龙烟", "金澳门", "宝岛", "多米尼加之花", "国喜", "金驼", "君特欧", "上游", "幸福", "春城", "吉庆",
|
|
|
+ "黄山松", "黄金龙", "紫气东来", "彼亚赛", "银辉", "潮牌", "庐山", "三峡", "壹支笔", "双叶"],
|
|
|
+ "is_low_tar": ["是", "否"],
|
|
|
+ "is_medium": ["是", "否"],
|
|
|
+ "is_tiny": ["是", "否"],
|
|
|
+ "is_coarse": ["是", "否"],
|
|
|
+ "is_exploding_beads": ["是", "否"],
|
|
|
+ "no_is_exploding_beads": ["是", "否"],
|
|
|
+ "is_abnormity": ["是", "否"],
|
|
|
+ "no_is_abnormity": ["是", "否"],
|
|
|
+ "is_cig": ["是", "否"],
|
|
|
+ "no_is_cig": ["是", "否"],
|
|
|
+ "is_chuangxin": ["是", "否"],
|
|
|
+ "no_is_chuangxin": ["是", "否"],
|
|
|
+ "direct_retail_price": ["0-10", "10-30", "31-50", "51-100", "10-19.9", "250-499.9", "200-249.9",
|
|
|
+ "5-9.9", "0-5", "100-109.9", "150-199.9", "101-150", "120-129.9", "大于500",
|
|
|
+ "20-29.9", "30-39.9", "140-149.9", "50-59.9", "40-49.9", "80-89.9", "60-69.9",
|
|
|
+ "70-79.9", "大于150", "130-139.9", "90-99.9", "110-119.9"],
|
|
|
+ "tbc_total_length": ["小于79", "80-89", "90-100", "大于120"],
|
|
|
+ "product_style": ["包装类型（条盒硬盒）", "包装类型（条包硬盒）", "包装类型（条盒软盒）", "包装类型（条包软盒）", "包装类型（铁盒）", "包装类型（其它）"],
|
|
|
}
|
|
|
-
|
|
|
+
|
|
|
class OrderConfig:
|
|
|
FEATURE_COLUMNS = [
|
|
|
- "BB_RETAIL_CUSTOMER_CODE", # 零售户编码
|
|
|
- "PRODUCT_CODE", # 卷烟编码
|
|
|
- "MONTH6_SALE_QTY", # 近半年销量(箱)
|
|
|
- "MONTH6_SALE_AMT", # 近半年销售额(万元)
|
|
|
- "MONTH6_GROSS_PROFIT_RATE", # 近半年毛利率
|
|
|
- "MONTH6_SALE_QTY_YOY", # 销售量同比
|
|
|
- "MONTH6_SALE_QTY_MOM", # 销售量环比
|
|
|
- "MONTH6_SALE_AMT_YOY", # 销售额(购进额)同比
|
|
|
- "MONTH6_SALE_AMT_MOM", # 销售额(购进额)环比
|
|
|
- "STOCK_QTY", # 库存
|
|
|
- "ORDER_FULLORDR_RATE", # 订足率
|
|
|
- "FULL_FILLMENT_RATE", # 订单满足率
|
|
|
- "ORDER_FULLORDR_RATE_MOM", # 订足率环比
|
|
|
- "CUSTOMER_REPURCHASE_RATE", # 会员重购率
|
|
|
- "NEW_PRODUCT_MEMBERS_QTY_SAMEPRICE_OCC", # 新品订货量占同价类比重/decimal(18,6)
|
|
|
- "DEMAND_RATE", # 需求量满足率
|
|
|
- "LISTING_RATE", # 品规商上架率
|
|
|
- "PUT_MARKET_FINISH_RATE", # 投放完成率
|
|
|
- "OUT_STOCK_DAYS", # 断货天数
|
|
|
- "YLT_TURNOVER_RATE", # 易灵通动销率
|
|
|
- "YLT_BAR_PACKAGE_SALE_OCC", # 易灵通调包销售占比
|
|
|
- "UNPACKING_RATE", # 拆包率
|
|
|
- "POS_PACKAGE_PRICE", # pos机单包价格
|
|
|
- ]
|
|
|
-
|
|
|
- CLEANING_FEATURES = [
|
|
|
- "MONTH6_SALE_QTY",
|
|
|
- "MONTH6_SALE_AMT",
|
|
|
- "MONTH6_GROSS_PROFIT_RATE",
|
|
|
- "MONTH6_SALE_QTY_YOY",
|
|
|
- "MONTH6_SALE_QTY_MOM",
|
|
|
- "MONTH6_SALE_AMT_YOY",
|
|
|
- "MONTH6_SALE_AMT_MOM",
|
|
|
- "STOCK_QTY",
|
|
|
- "ORDER_FULLORDR_RATE",
|
|
|
- "FULL_FILLMENT_RATE",
|
|
|
- "ORDER_FULLORDR_RATE_MOM",
|
|
|
- "CUSTOMER_REPURCHASE_RATE",
|
|
|
- "NEW_PRODUCT_MEMBERS_QTY_SAMEPRICE_OCC",
|
|
|
- "DEMAND_RATE",
|
|
|
- "LISTING_RATE",
|
|
|
- "PUT_MARKET_FINISH_RATE",
|
|
|
- "OUT_STOCK_DAYS",
|
|
|
- "UNPACKING_RATE",
|
|
|
+ "cust_uuid", # 零售户uuid
|
|
|
+ "cust_code", # 零售户编码
|
|
|
+ "product_code", # 品牌规格编码
|
|
|
+ "sale_qty", # 销量包
|
|
|
+ "sale_qty_l", # 销量上期
|
|
|
+ "sale_qty_hb", # 销量环比
|
|
|
+ "sale_amt", # 销售额包
|
|
|
]
|
|
|
|
|
|
- WEIGHTS = {
|
|
|
- "MONTH6_SALE_QTY": 0.15,
|
|
|
- "MONTH6_SALE_QTY_MOM": 0.2,
|
|
|
- "ORDER_FULLORDR_RATE": 0.3,
|
|
|
- "ORDER_FULLORDR_RATE_MOM": 0.35,
|
|
|
- }
|
|
|
-
|
|
|
- POSFEATURES = [
|
|
|
- "YLT_TURNOVER_RATE","YLT_BAR_PACKAGE_SALE_OCC","POS_PACKAGE_PRICE"
|
|
|
+
|
|
|
+class ShopConfig:
|
|
|
+ FEATURE_COLUMNS = [
|
|
|
+ "cust_code", # 客户编码
|
|
|
+ "r_home_num", # 常驻人口_居住人数
|
|
|
+ "r_work_num", # 常驻人口_工作人数
|
|
|
+ "r_resident_num", # 常驻人口_工作或居住人数
|
|
|
+ "r_urban_cons_middle", # 常驻人口_城市消费水平_中
|
|
|
+ "r_urban_cons_low", # 常驻人口_城市消费水平_低
|
|
|
+ "r_urban_cons_lower", # 常驻人口_城市消费水平_次低
|
|
|
+ "r_urban_cons_secondhigh", # 常驻人口_城市消费水平_次高
|
|
|
+ "r_urban_cons_high", # 常驻人口_城市消费水平_高
|
|
|
+ "r_edu_junior_middle", # 常驻人口_学历_初中
|
|
|
+ "r_edu_doctor", # 常驻人口_学历_博士
|
|
|
+ "r_edu_specialty", # 常驻人口_学历_大专
|
|
|
+ "r_edu_primary", # 常驻人口_学历_小学
|
|
|
+ "r_edu_college", # 常驻人口_学历_本科
|
|
|
+ "r_edu_postgraduate", # 常驻人口_学历_硕士
|
|
|
+ "r_edu_senior_middle", # 常驻人口_学历_高中
|
|
|
+ "r_house_price79999", # 常驻人口_居住社区房价_60000_79999
|
|
|
+ "r_house_price59999", # 常驻人口_居住社区房价_40000_59999
|
|
|
+ "r_house_price39999", # 常驻人口_居住社区房价_20000_39999
|
|
|
+ "r_house_price19999", # 常驻人口_居住社区房价_10000_19999
|
|
|
+ "r_house_price9999", # 常驻人口_居住社区房价_8000_9999
|
|
|
+ "r_house_price7999", # 常驻人口_居住社区房价_5000_7999
|
|
|
+ "r_house_price4999", # 常驻人口_居住社区房价_2000_4999
|
|
|
+ "r_age_17", # 常驻人口_年龄_0_17
|
|
|
+ "r_age_24", # 常驻人口_年龄_18_24
|
|
|
+ "r_age_30", # 常驻人口_年龄_25_30
|
|
|
+ "r_age_35", # 常驻人口_年龄_31_35
|
|
|
+ "r_age_40", # 常驻人口_年龄_36_40
|
|
|
+ "r_age_45", # 常驻人口_年龄_41_45
|
|
|
+ "r_age_60", # 常驻人口_年龄_46_60
|
|
|
+ "r_age_over_60", # 常驻人口_年龄_61以上
|
|
|
+ "r_sex_woman", # 常驻人口_性别_女
|
|
|
+ "r_sex_man", # 常驻人口_性别_男
|
|
|
+ "r_catering_50", # 常驻人口_餐饮消费水平_50
|
|
|
+ "r_catering_100", # 常驻人口_餐饮消费水平_100
|
|
|
+ "r_catering_150", # 常驻人口_餐饮消费水平_150
|
|
|
+ "r_catering_200", # 常驻人口_餐饮消费水平_200
|
|
|
+ "r_catering_500", # 常驻人口_餐饮消费水平_500
|
|
|
+ "r_catering_over_500", # 常驻人口_餐饮消费水平_500以上
|
|
|
+ "r_catering_times_2", # 常驻人口_餐饮消费频次_1_2
|
|
|
+ "r_catering_times_4", # 常驻人口_餐饮消费频次_2_4
|
|
|
+ "r_catering_times_6", # 常驻人口_餐饮消费频次_4_6
|
|
|
+ "r_catering_times_8", # 常驻人口_餐饮消费频次_6_8
|
|
|
+ "r_catering_times_10", # 常驻人口_餐饮消费频次_8_10
|
|
|
+ "r_catering_times_11", # 常驻人口_餐饮消费频次_11以上
|
|
|
+ "r_native_beijing", # 常驻人口_家乡地_北京市
|
|
|
+ "r_native_tianjing", # 常驻人口_家乡地_天津市
|
|
|
+ "r_native_hebei", # 常驻人口_家乡地_河北省
|
|
|
+ "r_native_shanxi", # 常驻人口_家乡地_山西省
|
|
|
+ "r_native_neimeng", # 常驻人口_家乡地_内蒙古
|
|
|
+ "r_native_liaoning", # 常驻人口_家乡地_辽宁省
|
|
|
+ "r_native_jilin", # 常驻人口_家乡地_吉林省
|
|
|
+ "r_native_heilongjiang", # 常驻人口_家乡地_黑龙江省
|
|
|
+ "r_native_shanghai", # 常驻人口_家乡地_上海市
|
|
|
+ "r_native_jiangsu", # 常驻人口_家乡地_江苏省
|
|
|
+ "r_native_zhejiang", # 常驻人口_家乡地_浙江省
|
|
|
+ "r_native_anhui", # 常驻人口_家乡地_安徽省
|
|
|
+ "r_native_fujian", # 常驻人口_家乡地_福建省
|
|
|
+ "r_native_jiangix", # 常驻人口_家乡地_江西省
|
|
|
+ "r_native_shandong", # 常驻人口_家乡地_山东省
|
|
|
+ "r_native_henan", # 常驻人口_家乡地_河南省
|
|
|
+ "r_native_hubei", # 常驻人口_家乡地_湖北省
|
|
|
+ "r_native_hunan", # 常驻人口_家乡地_湖南省
|
|
|
+ "r_native_guangdong", # 常驻人口_家乡地_广东省
|
|
|
+ "r_native_hainan", # 常驻人口_家乡地_海南省
|
|
|
+ "r_native_sichuan", # 常驻人口_家乡地_四川省
|
|
|
+ "r_native_guizhou", # 常驻人口_家乡地_贵州省
|
|
|
+ "r_native_yunnan", # 常驻人口_家乡地_云南省
|
|
|
+ "r_native_shan", # 常驻人口_家乡地_陕西省
|
|
|
+ "r_native_gansu", # 常驻人口_家乡地_甘肃省
|
|
|
+ "r_native_qinghai", # 常驻人口_家乡地_青海省
|
|
|
+ "r_native_guangxi", # 常驻人口_家乡地_广西壮族自治区
|
|
|
+ "r_native_ningxia", # 常驻人口_家乡地_宁夏回族自治区
|
|
|
+ "r_native_xinjiang", # 常驻人口_家乡地_新疆维吾尔自治区
|
|
|
+ "r_native_xizang", # 常驻人口_家乡地_西藏自治区
|
|
|
+ "r_native_chongqing", # 常驻人口_家乡地_重庆市
|
|
|
+ "r_native_hongkong", # 常驻人口_家乡地_香港
|
|
|
+ "r_native_macao", # 常驻人口_家乡地_澳门
|
|
|
+ "r_native_taiwan", # 常驻人口_家乡地_台湾
|
|
|
+ "r_native_other", # 常驻人口_家乡地_其它
|
|
|
+ "f_flow_num", # 流动人口_工作日_日均流动人口数量
|
|
|
+ "f_holiday_flow_num", # 流动人口_节假日_日均流动人口数量
|
|
|
+ "f_workday_flow_num", # 流动人口_日均流动人口数量
|
|
|
+ "f_flowurban_cons_middle", # 日均流动_城市消费水平_中
|
|
|
+ "f_flowurban_cons_low", # 日均流动_城市消费水平_低
|
|
|
+ "f_flowurban_cons_lower", # 日均流动_城市消费水平_次低
|
|
|
+ "f_flowurban_cons_second_high", # 日均流动_城市消费水平_次高
|
|
|
+ "f_flowurban_cons_high", # 日均流动_城市消费水平_高
|
|
|
+ "f_flowedu_junior_middle", # 日均流动_学历_初中
|
|
|
+ "f_flowedu_doctor", # 日均流动_学历_博士
|
|
|
+ "f_flowedu_specialty", # 日均流动_学历_大专
|
|
|
+ "f_flowedu_primary", # 日均流动_学历_小学
|
|
|
+ "f_flowedu_college", # 日均流动_学历_本科
|
|
|
+ "f_flowedu_postgraduate", # 日均流动_学历_硕士
|
|
|
+ "f_flowedu_senior_middle", # 日均流动_学历_高中
|
|
|
+ "f_flowhouse_middle", # 日均流动_居住社区房价_中
|
|
|
+ "f_flowhouse_low", # 日均流动_居住社区房价_低
|
|
|
+ "f_flowhouse_lower", # 日均流动_居住社区房价_次低
|
|
|
+ "f_flowhouse_second_high", # 日均流动_居住社区房价_次高
|
|
|
+ "f_flowhouse_high", # 日均流动_居住社区房价_高
|
|
|
+ "f_flowage_17", # 日均流动_年龄_0_17
|
|
|
+ "f_flowage_24", # 日均流动_年龄_18_24
|
|
|
+ "f_flowage_30", # 日均流动_年龄_25_30
|
|
|
+ "f_flowage_35", # 日均流动_年龄_31_35
|
|
|
+ "f_flowage_40", # 日均流动_年龄_36_40
|
|
|
+ "f_flowage_45", # 日均流动_年龄_41_45
|
|
|
+ "f_flowage_60", # 日均流动_年龄_46_60
|
|
|
+ "f_flowage_over_60", # 日均流动_年龄_61以上
|
|
|
+ "f_flowsex_woman", # 日均流动_性别_女
|
|
|
+ "f_flowsex_man", # 日均流动_性别_男
|
|
|
+ "f_holidayurban_cons_middle", # 节假日流动_城市消费水平_中
|
|
|
+ "f_holidayurban_cons_low", # 节假日流动_城市消费水平_低
|
|
|
+ "f_holidayurban_cons_lower", # 节假日流动_城市消费水平_次低
|
|
|
+ "f_holidayurban_cons_secondhigh", # 节假日流动_城市消费水平_次高
|
|
|
+ "f_holidayurban_cons_high", # 节假日流动_城市消费水平_高
|
|
|
+ "f_holidayedu_junior_middle", # 节假日流动_学历_初中
|
|
|
+ "f_holidayedu_doctor", # 节假日流动_学历_博士
|
|
|
+ "f_holidayedu_specialty", # 节假日流动_学历_大专
|
|
|
+ "f_holidayedu_primary", # 节假日流动_学历_小学
|
|
|
+ "f_holidayedu_college", # 节假日流动_学历_本科
|
|
|
+ "f_holidayedu_postgraduate", # 节假日流动_学历_硕士
|
|
|
+ "f_holidayedu_senior_middle", # 节假日流动_学历_高中
|
|
|
+ "f_holidayhouse_middle", # 节假日流动_居住社区房价_中
|
|
|
+ "f_holidayhouse_low", # 节假日流动_居住社区房价_低
|
|
|
+ "f_holidayhouse_lower", # 节假日流动_居住社区房价_次低
|
|
|
+ "f_holidayhouse_second_high", # 节假日流动_居住社区房价_次高
|
|
|
+ "f_holidayhouse_high", # 节假日流动_居住社区房价_高
|
|
|
+ "f_holidayage_17", # 节假日流动_年龄_0_17
|
|
|
+ "f_holidayage_24", # 节假日流动_年龄_18_24
|
|
|
+ "f_holidayage_30", # 节假日流动_年龄_25_30
|
|
|
+ "f_holidayage_35", # 节假日流动_年龄_31_35
|
|
|
+ "f_holidayage_40", # 节假日流动_年龄_36_40
|
|
|
+ "f_holidayage_45", # 节假日流动_年龄_41_45
|
|
|
+ "f_holidayage_60", # 节假日流动_年龄_46_60
|
|
|
+ "f_holidayage_over_60", # 节假日流动_年龄_61以上
|
|
|
+ "f_holidaysex_woman", # 节假日流动_性别_女
|
|
|
+ "f_holidaysex_man", # 节假日流动_性别_男
|
|
|
+ "f_workday_urban_cons_middle", # 工作日流动_城市消费水平_中
|
|
|
+ "f_workday_urban_cons_low", # 工作日流动_城市消费水平_低
|
|
|
+ "f_workday_urban_cons_lower", # 工作日流动_城市消费水平_次低
|
|
|
+ "f_workday_urban_cons_secondhigh",# 工作日流动_城市消费水平_次高
|
|
|
+ "f_workday_urban_cons_high", # 工作日流动_城市消费水平_高
|
|
|
+ "f_workday_edu_junior_middle", # 工作日流动_学历_初中
|
|
|
+ "f_workday_edu_doctor", # 工作日流动_学历_博士
|
|
|
+ "f_workday_edu_specialty", # 工作日流动_学历_大专
|
|
|
+ "f_workday_edu_primary", # 工作日流动_学历_小学
|
|
|
+ "f_workday_edu_college", # 工作日流动_学历_本科
|
|
|
+ "f_workday_edu_postgraduate", # 工作日流动_学历_硕士
|
|
|
+ "f_workday_edu_senior_middle", # 工作日流动_学历_高中
|
|
|
+ "f_workday_house_middle", # 工作日流动_居住社区房价_中
|
|
|
+ "f_workday_house_low", # 工作日流动_居住社区房价_低
|
|
|
+ "f_workday_house_lower", # 工作日流动_居住社区房价_次低
|
|
|
+ "f_workday_house_second_high", # 工作日流动_居住社区房价_次高
|
|
|
+ "f_workday_house_high", # 工作日流动_居住社区房价_高
|
|
|
+ "f_workday_age_17", # 工作日流动_年龄_0_17
|
|
|
+ "f_workday_age_24", # 工作日流动_年龄_18_24
|
|
|
+ "f_workday_age_30", # 工作日流动_年龄_25_30
|
|
|
+ "f_workday_age_35", # 工作日流动_年龄_31_35
|
|
|
+ "f_workday_age_40", # 工作日流动_年龄_36_40
|
|
|
+ "f_workday_age_45", # 工作日流动_年龄_41_45
|
|
|
+ "f_workday_age_60", # 工作日流动_年龄_46_60
|
|
|
+ "f_workday_age_over_60", # 工作日流动_年龄_61以上
|
|
|
+ "f_workday_sex_woman", # 工作日流动_性别_女
|
|
|
+ "f_workday_sex_man", # 工作日流动_性别_男
|
|
|
]
|
|
|
|
|
|
-class ImportanceFeaturesMap:
|
|
|
- CUSTOM_FEATRUES_MAP = {
|
|
|
- "BB_RTL_CUST_GRADE_NAME": "零售户分档名称",
|
|
|
- "BB_RTL_CUST_MARKET_TYPE_NAME": "零售户市场类型名称",
|
|
|
- "STORE_AREA": "店铺经营面积",
|
|
|
- "BB_RTL_CUST_BUSINESS_TYPE_NAME": "零售户业态名称",
|
|
|
- "OPERATOR_EDU_LEVEL": "零售客户经营者文化程",
|
|
|
- "OPERATOR_AGE": "经营者年龄",
|
|
|
- "BB_RTL_CUST_CHAIN_FLAG": "零售户连锁标识",
|
|
|
- "PRESENT_STAR_TERMINAL": "终端星级",
|
|
|
- "MD04_MG_RTL_CUST_CREDITCLASS_NAME": "零售户信用等级名称",
|
|
|
- "MD04_DIR_SAL_STORE_FLAG": "直营店标识",
|
|
|
- "BB_CUSTOMER_MANAGER_SCOPE_NAME": "零售户经营范围名称",
|
|
|
- "PRODUCT_INSALE_QTY": "在销品规数",
|
|
|
- # "CUST_INVESTMENT": "店铺资源投入建设",
|
|
|
- }
|
|
|
-
|
|
|
- PRODUCT_FEATRUES_MAP = {
|
|
|
- # ProductConfig 字段映射
|
|
|
- "direct_retail_price": "建议零售价",
|
|
|
- "is_low_tar": "是否低焦油烟",
|
|
|
- "tar_qty": "焦油含量",
|
|
|
- "is_exploding_beads": "是否爆珠",
|
|
|
- "is_shortbranch": "是否短支烟",
|
|
|
- "is_medium": "是否中支烟",
|
|
|
- "is_tiny": "是否细支",
|
|
|
- "product_style_code_name": "包装类型名称",
|
|
|
- "org_is_abnormity": "是否异形包装",
|
|
|
- "is_chuangxin": "是否创新品类",
|
|
|
- "is_key_brand": "是否重点品牌",
|
|
|
- "foster_level_hy": "是否行业共育品规",
|
|
|
- "foster_level_sj": "是否省级共育品规",
|
|
|
- "is_cigar": "是否雪茄型卷烟",
|
|
|
- "co_qty": "一氧化碳含量",
|
|
|
- "tbc_total_length": "烟支总长度",
|
|
|
- "tbc_length": "烟支长度",
|
|
|
- "filter_length": "滤嘴长度",
|
|
|
- }
|
|
|
-
|
|
|
- ORDER_FEATURE_MAP = {
|
|
|
- "MONTH6_SALE_QTY": "近半年销量(箱)",
|
|
|
- "MONTH6_SALE_AMT": "近半年销售额(万元)",
|
|
|
- "MONTH6_GROSS_PROFIT_RATE": "近半年毛利率",
|
|
|
- "MONTH6_SALE_QTY_YOY": "销量同比",
|
|
|
- "MONTH6_SALE_QTY_MOM": "销量环比",
|
|
|
- "MONTH6_SALE_AMT_YOY": "销售额（购进额）同比",
|
|
|
- "MONTH6_SALE_AMT_MOM": "销售额（购进额）环比",
|
|
|
- "STOCK_QTY": "库存",
|
|
|
- "ORDER_FULLORDR_RATE": "订足率",
|
|
|
- "ORDER_FULLORDR_RATE_MOM": "订足率环比",
|
|
|
- "FULL_FILLMENT_RATE": "订单满足率",
|
|
|
- "CUSTOMER_REPURCHASE_RATE": "会员重购率（部分有会员）",
|
|
|
- "NEW_PRODUCT_MEMBERS_QTY_SAMEPRICE_OCC": "新品订货量占同价类比重",
|
|
|
- "DEMAND_RATE": "需求量满足率",
|
|
|
- "LISTING_RATE": "品规上架率",
|
|
|
- "PUT_MARKET_FINISH_RATE": "投放完成率",
|
|
|
- "OUT_STOCK_DAYS": "断货天数（部分零售商有）",
|
|
|
- "UNPACKING_RATE": "拆包率",
|
|
|
- "city_uuid": "城市UUID"
|
|
|
- }
|
|
|
-
|
|
|
- POS_FEATURE_MAP = {
|
|
|
- "YLT_TURNOVER_RATE": "易灵通动销率",
|
|
|
- "YLT_BAR_PACKAGE_SALE_OCC": "易灵通条包销售占比",
|
|
|
- "POS_PACKAGE_PRICE": "POS机单包价格",
|
|
|
+ ONEHOT_CAT = {
|
|
|
+ "r_home_num": ["0-100", "101-500", "501-2000", "2001-5000", "5001-10000", "10000以上"],
|
|
|
+ "r_work_num": ["0-100", "101-500", "501-2000", "2001-5000", "5001-10000", "10000以上"],
|
|
|
+ "r_resident_num": ["0-100", "101-500", "501-2000", "2001-5000", "5001-10000", "10001-20000", "20000以上"],
|
|
|
+ "r_urban_cons_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_urban_cons_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_urban_cons_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_urban_cons_secondhigh": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_urban_cons_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_junior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_doctor": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_specialty": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_primary": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_college": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_postgraduate": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_edu_senior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price79999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price59999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price39999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price19999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price9999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price7999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_house_price4999": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_17": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_24": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_30": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_35": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_40": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_45": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_age_over_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_sex_woman": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_sex_man": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_50": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_100": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_150": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_200": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_500": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_over_500": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_times_2": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_times_4": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_times_6": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_times_8": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_times_10": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_catering_times_11": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_beijing": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_tianjing": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_hebei": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_shanxi": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_neimeng": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_liaoning": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_jilin": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_heilongjiang": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_shanghai": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_jiangsu": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_zhejiang": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_anhui": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_fujian": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_jiangix": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_shandong": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_henan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_hubei": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_hunan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_guangdong": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_hainan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_sichuan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_guizhou": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_yunnan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_shan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_gansu": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_qinghai": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_guangxi": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_ningxia": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_xinjiang": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_xizang": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_chongqing": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_hongkong": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_macao": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_taiwan": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "r_native_other": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flow_num": ["0-100", "101-500", "501-2000", "2001-5000", "5001-10000", "10001-50000", "50001-100000", "100000以上"],
|
|
|
+ "f_holiday_flow_num": ["0-100", "101-500", "501-2000", "2001-5000", "5001-10000", "10001-50000", "50001-100000", "100000以上"],
|
|
|
+ "f_workday_flow_num": ["0-100", "101-500", "501-2000", "2001-5000", "5001-10000", "10001-50000", "50001-100000", "100000以上"],
|
|
|
+ "f_flowurban_cons_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowurban_cons_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowurban_cons_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowurban_cons_second_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowurban_cons_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_junior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_doctor": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_specialty": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_primary": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_college": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_postgraduate": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowedu_senior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowhouse_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowhouse_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowhouse_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowhouse_second_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowhouse_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_17": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_24": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_30": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_35": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_40": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_45": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowage_over_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowsex_woman": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_flowsex_man": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayurban_cons_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayurban_cons_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayurban_cons_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayurban_cons_secondhigh": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayurban_cons_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_junior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_doctor": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_specialty": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_primary": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_college": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_postgraduate": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayedu_senior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayhouse_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayhouse_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayhouse_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayhouse_second_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayhouse_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_17": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_24": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_30": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_35": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_40": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_45": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidayage_over_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidaysex_woman": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_holidaysex_man": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_urban_cons_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_urban_cons_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_urban_cons_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_urban_cons_secondhigh": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_urban_cons_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_junior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_doctor": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_specialty": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_primary": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_college": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_postgraduate": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_edu_senior_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_house_middle": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_house_low": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_house_lower": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_house_second_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_house_high": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_17": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_24": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_30": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_35": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_40": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_45": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_age_over_60": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_sex_woman": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
+ "f_workday_sex_man": ["0-10", "10-20", "20-30", "30-40", "40-50", "50-60", "60-70", "70-80", "80-90", "90-100"],
|
|
|
}
|
|
|
-
|
|
|
- SHOPING_FEATURES_MAP = {
|
|
|
- # 商圈 字段映射
|
|
|
- "r_home_num": "常驻人口_居住人数",
|
|
|
- "r_work_num": "常驻人口_工作人数",
|
|
|
- "r_resident_num": "常驻人口_工作或居住人数",
|
|
|
- "r_urban_cons_middle": "常驻人口_城市消费水平_中",
|
|
|
- "r_urban_cons_low": "常驻人口_城市消费水平_低",
|
|
|
- "r_urban_cons_lower": "常驻人口_城市消费水平_次低",
|
|
|
- "r_urban_cons_secondhigh": "常驻人口_城市消费水平_次高",
|
|
|
- "r_urban_cons_high": "常驻人口_城市消费水平_高",
|
|
|
- "r_edu_junior_middle": "常驻人口_学历_初中",
|
|
|
- "r_edu_doctor": "常驻人口_学历_博士",
|
|
|
- "r_edu_specialty": "常驻人口_学历_大专",
|
|
|
- "r_edu_primary": "常驻人口_学历_小学",
|
|
|
- "r_edu_college": "常驻人口_学历_本科",
|
|
|
- "r_edu_postgraduate": "常驻人口_学历_硕士",
|
|
|
- "r_edu_senior_middle": "常驻人口_学历_高中",
|
|
|
- "r_house_price79999": "常驻人口_居住社区房价_60000_79999",
|
|
|
- "r_house_price59999": "常驻人口_居住社区房价_40000_59999",
|
|
|
- "r_house_price39999": "常驻人口_居住社区房价_20000_39999",
|
|
|
- "r_house_price19999": "常驻人口_居住社区房价_10000_19999",
|
|
|
- "r_house_price9999": "常驻人口_居住社区房价_8000_9999",
|
|
|
- "r_house_price7999": "常驻人口_居住社区房价_5000_7999",
|
|
|
- "r_house_price4999": "常驻人口_居住社区房价_2000_4999",
|
|
|
- "r_age_17": "常驻人口_年龄_0_17",
|
|
|
- "r_age_24": "常驻人口_年龄_18_24",
|
|
|
- "r_age_30": "常驻人口_年龄_25_30",
|
|
|
- "r_age_35": "常驻人口_年龄_31_35",
|
|
|
- "r_age_40": "常驻人口_年龄_36_40",
|
|
|
- "r_age_45": "常驻人口_年龄_41_45",
|
|
|
- "r_age_60": "常驻人口_年龄_46_60",
|
|
|
- "r_age_over_60": "常驻人口_年龄_61以上",
|
|
|
- "r_sex_woman": "常驻人口_性别_女",
|
|
|
- "r_sex_man": "常驻人口_性别_男",
|
|
|
- "r_catering_50": "常驻人口_餐饮消费水平_50",
|
|
|
- "r_catering_100": "常驻人口_餐饮消费水平_100",
|
|
|
- "r_catering_150": "常驻人口_餐饮消费水平_150",
|
|
|
- "r_catering_200": "常驻人口_餐饮消费水平_200",
|
|
|
- "r_catering_500": "常驻人口_餐饮消费水平_500",
|
|
|
- "r_catering_over_500": "常驻人口_餐饮消费水平_500以上",
|
|
|
- "r_catering_times_2": "常驻人口_餐饮消费频次_1_2",
|
|
|
- "r_catering_times_4": "常驻人口_餐饮消费频次_2_4",
|
|
|
- "r_catering_times_6": "常驻人口_餐饮消费频次_4_6",
|
|
|
- "r_catering_times_8": "常驻人口_餐饮消费频次_6_8",
|
|
|
- "r_catering_times_10": "常驻人口_餐饮消费频次_8_10",
|
|
|
- "r_catering_times_11": "常驻人口_餐饮消费频次_11以上",
|
|
|
- "r_native_beijing": "常驻人口_家乡地_北京市",
|
|
|
- "r_native_tianjing": "常驻人口_家乡地_天津市",
|
|
|
- "r_native_hebei": "常驻人口_家乡地_河北省",
|
|
|
- "r_native_shanxi": "常驻人口_家乡地_山西省",
|
|
|
- "r_native_neimeng": "常驻人口_家乡地_内蒙古",
|
|
|
- "r_native_liaoning": "常驻人口_家乡地_辽宁省",
|
|
|
- "r_native_jilin": "常驻人口_家乡地_吉林省",
|
|
|
- "r_native_heilongjiang": "常驻人口_家乡地_黑龙江省",
|
|
|
- "r_native_shanghai": "常驻人口_家乡地_上海市",
|
|
|
- "r_native_jiangsu": "常驻人口_家乡地_江苏省",
|
|
|
- "r_native_zhejiang": "常驻人口_家乡地_浙江省",
|
|
|
- "r_native_anhui": "常驻人口_家乡地_安徽省",
|
|
|
- "r_native_fujian": "常驻人口_家乡地_福建省",
|
|
|
- "r_native_jiangix": "常驻人口_家乡地_江西省",
|
|
|
- "r_native_shandong": "常驻人口_家乡地_山东省",
|
|
|
- "r_native_henan": "常驻人口_家乡地_河南省",
|
|
|
- "r_native_hubei": "常驻人口_家乡地_湖北省",
|
|
|
- "r_native_hunan": "常驻人口_家乡地_湖南省",
|
|
|
- "r_native_guangdong": "常驻人口_家乡地_广东省",
|
|
|
- "r_native_hainan": "常驻人口_家乡地_海南省",
|
|
|
- "r_native_sichuan": "常驻人口_家乡地_四川省",
|
|
|
- "r_native_guizhou": "常驻人口_家乡地_贵州省",
|
|
|
- "r_native_yunnan": "常驻人口_家乡地_云南省",
|
|
|
- "r_native_shan": "常驻人口_家乡地_陕西省",
|
|
|
- "r_native_gansu": "常驻人口_家乡地_甘肃省",
|
|
|
- "r_native_qinghai": "常驻人口_家乡地_青海省",
|
|
|
- "r_native_guangxi": "常驻人口_家乡地_广西壮族自治区",
|
|
|
- "r_native_ningxia": "常驻人口_家乡地_宁夏回族自治区",
|
|
|
- "r_native_xinjiang": "常驻人口_家乡地_新疆维吾尔自治区",
|
|
|
- "r_native_xizang": "常驻人口_家乡地_西藏自治区",
|
|
|
- "r_native_chongqing": "常驻人口_家乡地_重庆市",
|
|
|
- "r_native_hongkong": "常驻人口_家乡地_香港",
|
|
|
- "r_native_macao": "常驻人口_家乡地_澳门",
|
|
|
- "r_native_taiwan": "常驻人口_家乡地_台湾",
|
|
|
- "r_native_other": "常驻人口_家乡地_其它",
|
|
|
- "f_flow_num": "流动人口_日均流动人口数量",
|
|
|
- "f_holiday_flow_num": "流动人口_节假日日均流动人口数量",
|
|
|
- "f_workday_flow_num": "流动人口_工作日日均流动人口数量",
|
|
|
- "f_flowurban_cons_middle": "日均流动_城市消费水平_中",
|
|
|
- "f_flowurban_cons_low": "日均流动_城市消费水平_低",
|
|
|
- "f_flowurban_cons_lower": "日均流动_城市消费水平_次低",
|
|
|
- "f_flowurban_cons_second_high": "日均流动_城市消费水平_次高",
|
|
|
- "f_flowurban_cons_high": "日均流动_城市消费水平_高",
|
|
|
- "f_flowedu_junior_middle": "日均流动_学历_初中",
|
|
|
- "f_flowedu_doctor": "日均流动_学历_博士",
|
|
|
- "f_flowedu_specialty": "日均流动_学历_大专",
|
|
|
- "f_flowedu_primary": "日均流动_学历_小学",
|
|
|
- "f_flowedu_college": "日均流动_学历_本科",
|
|
|
- "f_flowedu_postgraduate": "日均流动_学历_硕士",
|
|
|
- "f_flowedu_senior_middle": "日均流动_学历_高中",
|
|
|
- "f_flowhouse_middle": "日均流动_居住社区房价_中",
|
|
|
- "f_flowhouse_low": "日均流动_居住社区房价_低",
|
|
|
- "f_flowhouse_lower": "日均流动_居住社区房价_次低",
|
|
|
- "f_flowhouse_second_high": "日均流动_居住社区房价_次高",
|
|
|
- "f_flowhouse_high": "日均流动_居住社区房价_高",
|
|
|
- "f_flowage_17": "日均流动_年龄_0_17",
|
|
|
- "f_flowage_24": "日均流动_年龄_18_24",
|
|
|
- "f_flowage_30": "日均流动_年龄_25_30",
|
|
|
- "f_flowage_35": "日均流动_年龄_31_35",
|
|
|
- "f_flowage_40": "日均流动_年龄_36_40",
|
|
|
- "f_flowage_45": "日均流动_年龄_41_45",
|
|
|
- "f_flowage_60": "日均流动_年龄_46_60",
|
|
|
- "f_flowage_over_60": "日均流动_年龄_61以上",
|
|
|
- "f_flowsex_woman": "日均流动_性别_女",
|
|
|
- "f_flowsex_man": "日均流动_性别_男",
|
|
|
- "f_holidayurban_cons_middle": "节假日流动_城市消费水平_中",
|
|
|
- "f_holidayurban_cons_low": "节假日流动_城市消费水平_低",
|
|
|
- "f_holidayurban_cons_lower": "节假日流动_城市消费水平_次低",
|
|
|
- "f_holidayurban_cons_secondhigh": "节假日流动_城市消费水平_次高",
|
|
|
- "f_holidayurban_cons_high": "节假日流动_城市消费水平_高",
|
|
|
- "f_holidayedu_junior_middle": "节假日流动_学历_初中",
|
|
|
- "f_holidayedu_doctor": "节假日流动_学历_博士",
|
|
|
- "f_holidayedu_specialty": "节假日流动_学历_大专",
|
|
|
- "f_holidayedu_primary": "节假日流动_学历_小学",
|
|
|
- "f_holidayedu_college": "节假日流动_学历_本科",
|
|
|
- "f_holidayedu_postgraduate": "节假日流动_学历_硕士",
|
|
|
- "f_holidayedu_senior_middle": "节假日流动_学历_高中",
|
|
|
- "f_holidayhouse_middle": "节假日流动_居住社区房价_中",
|
|
|
- "f_holidayhouse_low": "节假日流动_居住社区房价_低",
|
|
|
- "f_holidayhouse_lower": "节假日流动_居住社区房价_次低",
|
|
|
- "f_holidayhouse_second_high": "节假日流动_居住社区房价_次高",
|
|
|
- "f_holidayhouse_high": "节假日流动_居住社区房价_高",
|
|
|
- "f_holidayage_17": "节假日流动_年龄_0_17",
|
|
|
- "f_holidayage_24": "节假日流动_年龄_18_24",
|
|
|
- "f_holidayage_30": "节假日流动_年龄_25_30",
|
|
|
- "f_holidayage_35": "节假日流动_年龄_31_35",
|
|
|
- "f_holidayage_40": "节假日流动_年龄_36_40",
|
|
|
- "f_holidayage_45": "节假日流动_年龄_41_45",
|
|
|
- "f_holidayage_60": "节假日流动_年龄_46_60",
|
|
|
- "f_holidayage_over_60": "节假日流动_年龄_61以上",
|
|
|
- "f_holidaysex_woman": "节假日流动_性别_女",
|
|
|
- "f_holidaysex_man": "节假日流动_性别_男",
|
|
|
- "f_workday_urban_cons_middle": "工作日流动_城市消费水平_中",
|
|
|
- "f_workday_urban_cons_low": "工作日流动_城市消费水平_低",
|
|
|
- "f_workday_urban_cons_lower": "工作日流动_城市消费水平_次低",
|
|
|
- "f_workday_urban_cons_secondhigh": "工作日流动_城市消费水平_次高",
|
|
|
- "f_workday_urban_cons_high": "工作日流动_城市消费水平_高",
|
|
|
- "f_workday_edu_junior_middle": "工作日流动_学历_初中",
|
|
|
- "f_workday_edu_doctor": "工作日流动_学历_博士",
|
|
|
- "f_workday_edu_specialty": "工作日流动_学历_大专",
|
|
|
- "f_workday_edu_primary": "工作日流动_学历_小学",
|
|
|
- "f_workday_edu_college": "工作日流动_学历_本科",
|
|
|
- "f_workday_edu_postgraduate": "工作日流动_学历_硕士",
|
|
|
- "f_workday_edu_senior_middle": "工作日流动_学历_高中",
|
|
|
- "f_workday_house_middle": "工作日流动_居住社区房价_中",
|
|
|
- "f_workday_house_low": "工作日流动_居住社区房价_低",
|
|
|
- "f_workday_house_lower": "工作日流动_居住社区房价_次低",
|
|
|
- "f_workday_house_second_high": "工作日流动_居住社区房价_次高",
|
|
|
- "f_workday_house_high": "工作日流动_居住社区房价_高",
|
|
|
- "f_workday_age_17": "工作日流动_年龄_0_17",
|
|
|
- "f_workday_age_24": "工作日流动_年龄_18_24",
|
|
|
- "f_workday_age_30": "工作日流动_年龄_25_30",
|
|
|
- "f_workday_age_35": "工作日流动_年龄_31_35",
|
|
|
- "f_workday_age_40": "工作日流动_年龄_36_40",
|
|
|
- "f_workday_age_45": "工作日流动_年龄_41_45",
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- "f_workday_age_60": "工作日流动_年龄_46_60",
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- "f_workday_age_over_60": "工作日流动_年龄_61以上",
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- "f_workday_sex_woman": "工作日流动_性别_女",
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- "f_workday_sex_man": "工作日流动_性别_男"
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- }
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Sherlock