Python pandas实现基于距离和限额的商品分配算法
import pandas as pd
import math
# 设置文件路径
product_info_path = 'D:\\pythonProject3\\商品信息\\商品打包.xlsx'
member_info_path = 'D:\\pythonProject3\\打包问题\\会员信息.xlsx'
outfile_path = 'D:\\pythonProject3\\打包问题\\会员信息 - 副本4.xlsx'
# 循环处理每个会员信息表
for jishu in range(1, 32):
# 加载商品信息表和会员信息表
product_info = pd.read_excel(product_info_path)
member_info = pd.read_excel(member_info_path, sheet_name=f'会员信息{jishu}')
# 对商品信息表按照经纬度排序
product_info.sort_values(by=['新商品GPS经度', '新商品GPS纬度'], inplace=True)
# 初始化会员挑选到商品的数量
member_info['挑选商品数量'] = 0
# 遍历每个会员
for i in range(len(member_info)):
member = member_info.iloc[i]
# 获取会员的GPS经纬度
member_latitude = member['会员GPS纬度']
member_longitude = member['会员GPS经度']
# 获取会员的预订商品限额
limit = member['预订商品限额']
# 初始化商品数量和总距离
selected_quantity = 0
total_distance = 0
# 遍历每个商品
for j in range(len(product_info)):
product = product_info.iloc[j]
# 获取商品的GPS经纬度和打包数量
product_latitude = product['新商品GPS纬度']
product_longitude = product['新商品GPS经度']
quantity = product['打包数量']
# 计算商品与会员之间的距离
distance = math.sqrt(
(member_latitude - product_latitude) ** 2 + (member_longitude - product_longitude) ** 2)
# 判断商品与会员之间的距离是否满足要求
if distance <= 1:
# 判断挑选该商品是否会超过预订商品限额
if selected_quantity + quantity <= limit:
# 更新商品数量和总距离
selected_quantity += quantity
total_distance += distance
else:
break
# 更新会员挑选到商品的数量
member_info.at[i, '挑选商品数量'] = selected_quantity
# 计算出货率
total_selected_quantity = member_info['挑选商品数量'].sum()
out_rate = total_selected_quantity / 835
# 更新会员信息表,添加出货率列
member_info['出货率'] = out_rate
# 保存更新后的会员信息表
with pd.ExcelWriter(outfile_path, mode='a', engine='openpyxl') as writer:
member_info.to_excel(writer, columns=['会员编号', '会员GPS纬度', '会员GPS经度', '信誉值', '预订商品比例',
'挑选商品数量', '出货率'], sheet_name=f'会员信息{jishu}', index=False)
# 输出信息
print(f'会员信息{jishu}处理完成,出货率为:{out_rate}')
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