同一人做多个主体网站负责人今日头条新闻推荐

根据之前发布的思路  第一步 进行数据合并

import pandas as pd# 读取所有附件的数据
data1 = pd.read_excel('附件一.xlsx')
data2 = pd.read_excel('附件二.xlsx')
data3 = pd.read_excel('附件三.xlsx')
data4 = pd.read_excel('附件四.xlsx')# 根据商品编码将附件一和附件二连接
combinedData = pd.merge(data1, data2, on='商品编码', how='inner')# 根据商家编码将上述的结果和附件三连接
combinedData = pd.merge(combinedData, data3, on='商家编码', how='inner')# 根据仓库编码将上述的结果和附件四连接
combinedData = pd.merge(combinedData, data4, on='仓库编码', how='inner')# 保存合并后的数据到新的Excel文件中
combinedData.to_excel('合并后的数据.xlsx', index=False, engine='openpyxl')

或者 matlab

% 读取所有附件的数据
data1 = readtable('附件一.xlsx');
data2 = readtable('附件二.xlsx');
data3 = readtable('附件三.xlsx');
data4 = readtable('附件四.xlsx');% 根据商品编码将附件一和附件二连接
combinedData = innerjoin(data1, data2, 'Keys', '商品编码');% 根据商家编码将上述的结果和附件三连接
combinedData = innerjoin(combinedData, data3, 'Keys', '商家编码');% 根据仓库编码将上述的结果和附件四连接
combinedData = innerjoin(combinedData, data4, 'Keys', '仓库编码');% 保存合并后的数据到新的Excel文件中
writetable(combinedData, '合并后的数据.xlsx');

之后就是对于数据的 转码 将文本数据转化为数字

py代码

# 定义数据
data = {"商家编码": {"1": "seller_10", "2": "seller_11", "3": "seller_12", "4": "seller_13", ...},"商品编码": {"1": "product_1914", "2": "product_1915", "3": "product_1916", ...},"仓库编码": {"1": "wh_1", "2": "wh_10", "3": "wh_11", ...},"商品一级分类": {"1": "手机通讯", "2": "食品饮料", "3": "家庭清洁/纸品", ...},"商品二级分类": {"1": "手机配件", "2": "粮油调味", "3": "进口食品", ...},"商品三级分类": {"1": "手机配件_5", "2": "粮油调味_1", "3": "进口食品_1", ...},"商家分类": {"1": "手机通讯", "2": "食品饮料", "3": "美妆护肤", ...},"库存分类": {"1": "A", "2": "B", "3": "D", ...},"商家规模": {"1": "Large", "2": "Special", "3": "Small", ...},"仓库类别": {"1": "Large", "2": "Special", "3": "Small", ...}
}def transcode(record):for key, value in record.items():if value in data[key]:record[key] = data[key][value]return record# 示例
record = {"商家编码": "1","商品编码": "2","仓库编码": "3",...
}transcoded_record = transcode(record)
print(transcoded_record)

matalb

% 假设原始数据存储在一个cell array中，名为data
% data = {...};  % 你需要将这里填充为你的数据% 定义一个map来存储转码信息
map = containers.Map();% 定义你的转码数据
sellers = {'seller_10', 'seller_11', 'seller_12', 'seller_13', ...};
products = {'product_1914', 'product_1915', 'product_1916', 'product_1917', ...};
warehouses = {'wh_1', 'wh_10', 'wh_11', 'wh_12', ...};
% ... 添加其他数据% 填充map
for i = 1:length(sellers)map(sellers{i}) = i;
endfor i = 1:length(products)map(products{i}) = i;
endfor i = 1:length(warehouses)map(warehouses{i}) = i;
end
% ... 同样地，为其他数据填充map% 对原始数据进行转码
rows, cols = size(data);
for r = 1:rowsfor c = 1:colsif isKey(map, data{r, c})data{r, c} = map(data{r, c});endend
end% 输出转码后的数据
disp(data);

然后 就可以进行后续分析了