电商 商品数据分析 市场洞察 导出数据后 横线对比 python实现

代码

#-*- encoding:utf-8 -*-
import  pandas  as pd
from pandas import DataFrame
import csv
import os
from openpyxl.utils import get_column_letter, column_index_from_string



#原文：
#https://www.cnblogs.com/SH170706/p/10450239.html
#https://blog.csdn.net/wangxingfan316/article/details/79628463
#https://blog.csdn.net/brucewong0516/article/details/79097909
#https://blog.csdn.net/qq_38115310/article/details/98031934
#https://blog.csdn.net/AuserBB/article/details/79269562
#https://www.cnblogs.com/programmer-tlh/p/10461353.html




# 获取列的索引
def get_column_index(column_name):
    dic={
        '所属店铺' : 2,
        '日期' : 3,
        '交易金额' : 4,
        '访客人数' : 5,
        '支付人数' : 6,
        '支付转化率' : 7,
        '客单价' : 8,
        'uv价值' : 9,
    }
    return dic[column_name]



# 获取一列值
def get_column_value(file_name, column_name):
    with open(file_name, newline='', encoding='UTF-8') as csvfile:
        rows = csv.reader(csvfile)
        arr1 = []
        for row_index,row in enumerate(rows):
            if row_index==0:# 跳过首行，首行都是列名
                continue            
            if isinstance(row,list):
                if len(row)==10:                    
                    column_index = get_column_index(column_name)
                    value = str(row[column_index]).replace(',', '')
                    arr1.append(value)
                    #arr1.append(','.join(row).split(',')[column_index])# 这句代码是有bug的，单元格如果出现逗号就有问题！！！
        return arr1



# 获取店铺名称
def get_store_name(file_name):
    return get_column_value(file_name, '所属店铺')[0]



# 创建sheet
def create_sheet(column_name):
    path = "./files/"
    files = os.listdir(path)
    dic1 = {}
    # 生成首列
    arr_date = get_column_value(path+files[0], '日期')
    dic1['日期'] = arr_date
    # 遍历文件
    for filename in files:
        fullname = path + filename# excel的相对路径      
        # 生成数据列
        store_name = get_store_name(fullname)
        arr_value = get_column_value(fullname, column_name)
        dic1[store_name] = arr_value
    return dic1    
    



# 生成excel
writer = pd.ExcelWriter('1.xlsx')
arr_column_names=['交易金额', '访客人数', '支付人数', '支付转化率', '客单价', 'uv价值']
for item in arr_column_names:
    pd.DataFrame(create_sheet(item)).to_excel(writer, sheet_name=item, index=False)


# 列固定宽度
for index, item in enumerate(writer.sheets):
    max_column = writer.sheets[item].max_column
    for i in range(max_column):
        letter = get_column_letter(i+1)
        writer.sheets[item].column_dimensions[letter].width = 20


writer.save()

效果

mark

以后空了再编译成exe文件传上来