{ "cells": [ { "cell_type": "code", "id": "e19ec4ae5347c678", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.063825Z", "start_time": "2024-09-08T08:06:03.748257Z" } }, "source": [ "import numpy as np\n", "import pandas as pd\n", "\n", "pd.options.display.max_columns = 100" ], "outputs": [], "execution_count": 1 }, { "cell_type": "code", "id": "initial_id", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.504512Z", "start_time": "2024-09-08T08:06:04.064830Z" } }, "source": [ "\n", "df_crop_details = pd.read_excel('./data/2.xlsx', sheet_name=1)" ], "outputs": [], "execution_count": 2 }, { "cell_type": "code", "id": "1d2a51b3414be94", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.520325Z", "start_time": "2024-09-08T08:06:04.505719Z" } }, "source": [ "# 去除空格\n", "df_crop_details['cropName'] = df_crop_details['cropName'].apply(lambda x: x.strip())\n", "# CropType = [x.strip() for x in CropType]\n" ], "outputs": [], "execution_count": 3 }, { "cell_type": "code", "id": "514cd9136d9ca341", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.551546Z", "start_time": "2024-09-08T08:06:04.522370Z" } }, "source": [ "df_crop_planting = pd.read_excel('./data/2.xlsx', sheet_name=0)\n", "# 照例去除一下空格\n", "df_crop_planting['cropName'] = df_crop_planting['cropName'].apply(lambda x: x.strip())\n", "# ffill\n", "df_crop_planting['landName'] = df_crop_planting['landName'].ffill()\n", "# df_crop_planting" ], "outputs": [], "execution_count": 4 }, { "cell_type": "code", "id": "1503f8b642c842db", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.583467Z", "start_time": "2024-09-08T08:06:04.553055Z" } }, "source": [ "df_land = pd.read_excel('./data/1.xlsx', sheet_name=0)\n", "# 去除landType和landName的空格\n", "df_land['landType'] = df_land['landType'].apply(lambda x: x.strip())\n", "df_land['landName'] = df_land['landName'].apply(lambda x: x.strip())\n", "# df_land" ], "outputs": [], "execution_count": 5 }, { "cell_type": "code", "id": "3cdf51a9a9d4d30f", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.598934Z", "start_time": "2024-09-08T08:06:04.585407Z" } }, "source": [ "# 计算利润\n", "unit_profit_lsc = []\n", "for line in df_crop_details.values:\n", " s = str(line[7]).split('-')\n", " unit_profit_lsc.append((float(s[0]) + float(s[1])) / 2 * line[5] - line[6])\n", "df_crop_details['unitProfit'] = unit_profit_lsc\n", "# df_crop_details" ], "outputs": [], "execution_count": 6 }, { "cell_type": "code", "id": "569016a9b90f841b", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.629979Z", "start_time": "2024-09-08T08:06:04.599929Z" } }, "source": [ "df_crop_type_land = pd.read_excel('./data/1.xlsx', sheet_name=1)\n", "# 老规矩，去掉cropName和cropType的空格\n", "df_crop_type_land['cropType'] = df_crop_type_land['cropType'].apply(lambda x: x.strip())\n", "df_crop_type_land['cropName'] = df_crop_type_land['cropName'].apply(lambda x: x.strip())\n", "# df_crop_type_land" ], "outputs": [], "execution_count": 7 }, { "cell_type": "code", "id": "a7661d84217b578c", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.646043Z", "start_time": "2024-09-08T08:06:04.631981Z" } }, "source": [ "# 搞一下季节和年份的集合\n", "SeasonType = [\"单季\", \"第一季\", \"第二季\"]\n", "SeasonDict = {\"单季\": 1, \"第一季\": 1, \"第二季\": 2}\n", "SeasonNum = [1, 2]\n", "years = [2024, 2025, 2026, 2027, 2028, 2029, 2030]" ], "outputs": [], "execution_count": 8 }, { "cell_type": "code", "id": "4a4e06a1f2d4d8ab", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.661620Z", "start_time": "2024-09-08T08:06:04.647030Z" } }, "source": [ "# 枚举地块类型\n", "LandType = {\"A\": \"平旱地\", \"B\": \"梯田\", \"C\": \"山坡地\", \"D\": \"水浇地\", \"E\": \"普通大棚\", \"F\": \"智慧大棚\"}\n", "# LandType" ], "outputs": [], "execution_count": 9 }, { "cell_type": "code", "id": "cc938565a63a8129", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.677628Z", "start_time": "2024-09-08T08:06:04.664102Z" } }, "source": [ "# 枚举地块\n", "LandName = df_crop_planting['landName'].unique()\n", "# LandName" ], "outputs": [], "execution_count": 10 }, { "cell_type": "code", "id": "dae53a6215cea525", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.693684Z", "start_time": "2024-09-08T08:06:04.679628Z" } }, "source": [ "# 枚举地块面积，取df_land的landName为key，landArea为value\n", "LandArea = {x: df_land[df_land['landName'] == x]['landArea'].values[0] for x in LandName}\n", "# LandArea" ], "outputs": [], "execution_count": 11 }, { "cell_type": "code", "id": "7a0e6cc209d93b56", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.709206Z", "start_time": "2024-09-08T08:06:04.694711Z" } }, "source": [ "# 读入作物名称\n", "CropName = df_crop_details['cropName'].unique()\n", "# CropName" ], "outputs": [], "execution_count": 12 }, { "cell_type": "code", "id": "8a280f918bb3139a", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.740752Z", "start_time": "2024-09-08T08:06:04.710206Z" } }, "source": [ "# 作物分类\n", "CropType = {x: df_crop_type_land[df_crop_type_land['cropType'] == x]['cropName'].values for x in\n", " df_crop_type_land['cropType'].values}\n", "CropType['粮食（除了水稻）'] = CropType['粮食'][:-1] # 这样不太好，但能用\n", "CropType['豆类'] = np.array(list(CropType['粮食（豆类）']) + list(CropType['蔬菜（豆类）']), dtype=object)\n", "CropType['全粮食'] = np.array(list(CropType['粮食']) + list(CropType['粮食（豆类）']), dtype=object)\n", "CropType['全粮食（除了水稻）'] = np.array(list(CropType['粮食'][:-1]) + list(CropType['粮食（豆类）']), dtype=object)\n", "CropType['全蔬菜'] = np.array(list(CropType['蔬菜']) + list(CropType['蔬菜（豆类）']), dtype=object)\n", "CropType['特殊蔬菜'] = np.array([\"大白菜\", \"白萝卜\", \"红萝卜\"], dtype=object)\n", "CropType[\"普通蔬菜\"] = np.array([c for c in CropType['全蔬菜'] if c not in CropType['特殊蔬菜']], dtype=object)\n", "CropType" ], "outputs": [ { "data": { "text/plain": [ "{'粮食（豆类）': array(['黄豆', '黑豆', '红豆', '绿豆', '爬豆'], dtype=object),\n", " '粮食': array(['小麦', '玉米', '谷子', '高粱', '黍子', '荞麦', '南瓜', '红薯', '莜麦', '大麦', '水稻'],\n", " dtype=object),\n", " '蔬菜（豆类）': array(['豇豆', '刀豆', '芸豆'], dtype=object),\n", " '蔬菜': array(['土豆', '西红柿', '茄子', '菠菜', '青椒', '菜花', '包菜', '油麦菜', '小青菜', '黄瓜',\n", " '生菜', '辣椒', '空心菜', '黄心菜', '芹菜', '大白菜', '白萝卜', '红萝卜'], dtype=object),\n", " '食用菌': array(['榆黄菇', '香菇', '白灵菇', '羊肚菌'], dtype=object),\n", " '粮食（除了水稻）': array(['小麦', '玉米', '谷子', '高粱', '黍子', '荞麦', '南瓜', '红薯', '莜麦', '大麦'],\n", " dtype=object),\n", " '豆类': array(['黄豆', '黑豆', '红豆', '绿豆', '爬豆', '豇豆', '刀豆', '芸豆'], dtype=object),\n", " '全粮食': array(['小麦', '玉米', '谷子', '高粱', '黍子', '荞麦', '南瓜', '红薯', '莜麦', '大麦', '水稻',\n", " '黄豆', '黑豆', '红豆', '绿豆', '爬豆'], dtype=object),\n", " '全粮食（除了水稻）': array(['小麦', '玉米', '谷子', '高粱', '黍子', '荞麦', '南瓜', '红薯', '莜麦', '大麦', '黄豆',\n", " '黑豆', '红豆', '绿豆', '爬豆'], dtype=object),\n", " '全蔬菜': array(['土豆', '西红柿', '茄子', '菠菜', '青椒', '菜花', '包菜', '油麦菜', '小青菜', '黄瓜',\n", " '生菜', '辣椒', '空心菜', '黄心菜', '芹菜', '大白菜', '白萝卜', '红萝卜', '豇豆', '刀豆',\n", " '芸豆'], dtype=object),\n", " '特殊蔬菜': array(['大白菜', '白萝卜', '红萝卜'], dtype=object),\n", " '普通蔬菜': array(['土豆', '西红柿', '茄子', '菠菜', '青椒', '菜花', '包菜', '油麦菜', '小青菜', '黄瓜',\n", " '生菜', '辣椒', '空心菜', '黄心菜', '芹菜', '豇豆', '刀豆', '芸豆'], dtype=object)}" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 13 }, { "cell_type": "code", "id": "bf6d61d66f06bdeb", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.756788Z", "start_time": "2024-09-08T08:06:04.741752Z" } }, "source": [ "# any([x[-1] == ' ' for x in CropName])\n", "# 居然有空格\n", "# 现在去掉了" ], "outputs": [], "execution_count": 14 }, { "cell_type": "code", "id": "22f9730e3d9c1016", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:04.945877Z", "start_time": "2024-09-08T08:06:04.757790Z" } }, "source": [ "# 亩产量\n", "unit_yield_lsc = {\n", " l: {\n", " 1: {\n", " c: df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " ((df_crop_details['season'] == \"单季\") |\n", " (df_crop_details['season'] == \"第一季\"))\n", " ]['unitYield'].values[0] if df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " ((df_crop_details['season'] == \"单季\") |\n", " (df_crop_details['season'] == \"第一季\"))\n", " ]['unitYield'].values.size > 0 else 0\n", " for c in CropName\n", " },\n", " 2: {\n", " c: df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " (df_crop_details['season'] == \"第二季\")\n", " ]['unitYield'].values[0] if df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " (df_crop_details['season'] == \"第二季\")][\n", " 'unitYield'].values.size > 0 else 0\n", " for c in CropName\n", " }\n", " }\n", " for l in LandType.values()\n", "}\n", "\n", "# unit_yield_lsc" ], "outputs": [], "execution_count": 15 }, { "cell_type": "code", "id": "99dbe4ca6c54db0b", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.134526Z", "start_time": "2024-09-08T08:06:04.947314Z" } }, "source": [ "# 亩利润\n", "unit_profit_lsc = {\n", " l: {\n", " 1: {\n", " c: df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " ((df_crop_details['season'] == \"单季\") |\n", " (df_crop_details['season'] == \"第一季\"))\n", " ]['unitProfit'].values[0] if df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " ((df_crop_details['season'] == \"单季\") |\n", " (df_crop_details['season'] == \"第一季\"))\n", " ]['unitProfit'].values.size > 0 else 0\n", " for c in CropName\n", " },\n", " 2: {\n", " c: df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " (df_crop_details['season'] == \"第二季\")\n", " ]['unitProfit'].values[0] if df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " (df_crop_details['season'] == \"第二季\")\n", " ]['unitProfit'].values.size > 0 else 0\n", " for c in CropName\n", " }\n", " }\n", " for l in LandType.values()\n", "}\n", "\n", "# unit_profit_lsc" ], "outputs": [], "execution_count": 16 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.323451Z", "start_time": "2024-09-08T08:06:05.135577Z" } }, "cell_type": "code", "source": [ "# 亩成本\n", "unit_cost_lsc = {\n", " l: {\n", " 1: {\n", " c: df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " ((df_crop_details['season'] == \"单季\") |\n", " (df_crop_details['season'] == \"第一季\"))\n", " ]['cost'].values[0] if df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " ((df_crop_details['season'] == \"单季\") |\n", " (df_crop_details['season'] == \"第一季\"))\n", " ]['cost'].values.size > 0 else 0\n", " for c in CropName\n", " },\n", " 2: {\n", " c: df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " (df_crop_details['season'] == \"第二季\")\n", " ]['cost'].values[0] if df_crop_details[\n", " (df_crop_details['cropName'] == c) &\n", " (df_crop_details['cropLandType'] == l) &\n", " (df_crop_details['season'] == \"第二季\")\n", " ]['cost'].values.size > 0 else 0\n", " for c in CropName\n", " }\n", " }\n", " for l in LandType.values()\n", "}\n", "# unit_cost_lsc" ], "id": "1c8ad73eaea8be7a", "outputs": [], "execution_count": 17 }, { "cell_type": "code", "id": "13f2ccc7aa215d4c", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.338917Z", "start_time": "2024-09-08T08:06:05.324337Z" } }, "source": [ "# 每种作物的总需求\n", "crop_demand = {\n", " c: 0\n", " for c in CropName\n", "}\n", "\n", "# 这里需要另一张表\n", "# 代码独立出来移到上面去了\n", "\n", "for line in df_crop_planting.values:\n", " # 面积*该土地类型的亩产量 面积 地块类型字典 地块类型 季节 作物名称\n", " crop_demand[line[2]] += line[4] * unit_yield_lsc[LandType[line[0][0]]][SeasonDict[line[5]]][line[2]]\n", "\n", "# crop_demand" ], "outputs": [], "execution_count": 18 }, { "cell_type": "code", "id": "5d09872708d40da4", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.386035Z", "start_time": "2024-09-08T08:06:05.339917Z" } }, "source": [ "# 准备开搞\n", "from pulp import LpMaximize, LpProblem, LpVariable, lpSum, value, PULP_CBC_CMD, LpContinuous, LpBinary\n", "import pulp" ], "outputs": [], "execution_count": 19 }, { "cell_type": "code", "id": "b6eff87c7a762769", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.401548Z", "start_time": "2024-09-08T08:06:05.387014Z" } }, "source": [ "model = LpProblem(\"Crop_Planting_Optimization_with_Specific_Rules\", LpMaximize)" ], "outputs": [], "execution_count": 20 }, { "cell_type": "code", "id": "7bfdb9425c3e9683", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.417576Z", "start_time": "2024-09-08T08:06:05.402547Z" } }, "source": [ "# %timeit X = LpVariable.dicts(\"X\", (CropName, LandName, years, seasons), lowBound=0, cat=LpContinuous)\n", "# %timeit XX = LpVariable.dicts(\"X\", [(c, l, y, s) for c in CropName for l in LandName for y in years for s in seasons],lowBound=0, cat=LpContinuous)" ], "outputs": [], "execution_count": 21 }, { "cell_type": "code", "id": "4cb129e20385a7ee", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.465493Z", "start_time": "2024-09-08T08:06:05.418576Z" } }, "source": [ "\n", "t = []\n", "for y in years:\n", " for l in LandName:\n", " for s in SeasonNum:\n", " if l[0] in [\"A\", \"B\", \"C\"] and s == 1:\n", " for c in CropType[\"全粮食（除了水稻）\"]:\n", " t.append((c, l, y, s))\n", " if l[0] == \"D\":\n", " if s == 1:\n", " for c in list(CropType[\"普通蔬菜\"]) + [\"水稻\"]:\n", " t.append((c, l, y, s))\n", " if s == 2:\n", " for c in CropType[\"特殊蔬菜\"]:\n", " t.append((c, l, y, s))\n", " if l[0] == \"E\":\n", " if s == 1:\n", " for c in list(CropType[\"普通蔬菜\"]):\n", " t.append((c, l, y, s))\n", " if s == 2:\n", " for c in CropType[\"食用菌\"]:\n", " t.append((c, l, y, s))\n", " if l[0] == \"F\":\n", " for s in SeasonNum:\n", " for c in CropType[\"普通蔬菜\"]:\n", " t.append((c, l, y, s))\n", "\n", "\n", "# X" ], "outputs": [], "execution_count": 22 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.496947Z", "start_time": "2024-09-08T08:06:05.466594Z" } }, "cell_type": "code", "source": [ "# 地块l在y年的s季的种植c的量\n", "X = LpVariable.dicts(\"X\", t,\n", " lowBound=0,\n", " cat=LpContinuous\n", " )" ], "id": "ca23e006a68f2993", "outputs": [], "execution_count": 23 }, { "cell_type": "code", "id": "9dab983ca7b3b607", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.528472Z", "start_time": "2024-09-08T08:06:05.497934Z" } }, "source": [ "# 地块l在y年的s季是否种植了c\n", "# Y = LpVariable.dicts(\"crop_plant_bool\", (CropName, LandName, years, SeasonType), cat=LpBinary)\n", "# Y = LpVariable.dicts(\"Y\", [(c, l, y, s) for c in CropName for l in LandName for y in years for s in SeasonNum],\n", "# cat=LpBinary)\n", "Y = LpVariable.dicts(\"Y\", t, cat=LpBinary)\n", "\n", "# Y" ], "outputs": [], "execution_count": 24 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.543616Z", "start_time": "2024-09-08T08:06:05.530473Z" } }, "cell_type": "code", "source": [ "# def is_feasible(c, l, y, s):\n", "# if l[0] in [\"A\", \"B\", \"C\"] and (c not in CropType[\"全粮食（除了水稻）\"]):\n", "# return False\n", "# if l[0] == \"D\" and (c not in CropType[\"全蔬菜\"] and c!=\"水稻\"):\n", "# return False\n", "# if l[0] == 'E' and s==2 and (c not in CropType[\"食用菌\"]):\n", "# return False\n", "# if l[0] == 'F' and (c not in CropType[\"全蔬菜\"]):\n", "# return False\n", "# return True" ], "id": "28c6686374b8ed76", "outputs": [], "execution_count": 25 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.559071Z", "start_time": "2024-09-08T08:06:05.545501Z" } }, "cell_type": "code", "source": [ "tt = set(t)\n", "\n", "\n", "def is_feasible(c, l, y, s):\n", " return (c, l, y, s) in tt" ], "id": "bf16c7f3ea10152f", "outputs": [], "execution_count": 26 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.745561Z", "start_time": "2024-09-08T08:06:05.560052Z" } }, "cell_type": "code", "source": [ "# 确保与X进行01约束\n", "# for c in CropName:\n", "# for l in LandName:\n", "# for y in years:\n", "# for s in SeasonNum:\n", "# # if 1:\n", "# if is_feasible(c, l, y, s):\n", "# # 如果种植了作物，则种植面积大于0\n", "# model += X[c, l, y, s] <= 100 * Y[c, l, y, s], f\"PlantingConstraint1_{c}_{l}_{y}_{s}\"\n", "# # 如果未种植作物，则种植面积为0\n", "# model += X[c, l, y, s] >= 0.001 * Y[c, l, y, s], f\"PlantingConstraint2_{c}_{l}_{y}_{s}\"\n", "\n", "\n", "min_area = 0.2\n", "for c in CropName:\n", " for l in LandName:\n", " for y in years:\n", " for s in SeasonNum:\n", " if is_feasible(c, l, y, s):\n", " model += X[c, l, y, s] <= LandArea[l] * Y[c, l, y, s], f\"LandAreaConstraint_{c}_{l}_{y}_{s}\"\n", " model += X[c, l, y, s] >= min_area * (\n", " 1 if Y[c, l, y, s] else 0), f\"MinAreaConstraint_{c}_{l}_{y}_{s}\"" ], "id": "603175d36624172f", "outputs": [], "execution_count": 27 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.839721Z", "start_time": "2024-09-08T08:06:05.748539Z" } }, "cell_type": "code", "source": [ "# 目标函数：总利润 = sum(x[i]*profit[c,l,s])\n", "# model += lpSum( # 地块类型 季节 作物类型\n", "# X[c, l, y, s] * unit_profit_lsc[LandType[l[0]]][s][c]\n", "# for c, l, y, s in t\n", "# ), \"total_profit\"\n", "\n", "# 定义超过需求的变量\n", "# Excess = LpVariable.dicts(\"Excess\", [(c, y) for c in CropName for y in years], lowBound=0)\n", "\n", "# 初始化总目标函数的表达式\n", "total_profit = lpSum([]) # 空的lpSum用于初始化\n", "\n", "# 累积每个作物、每个年份的利润和惩罚\n", "for c in CropName:\n", " for y in years:\n", " # 计算利润部分\n", " profit_term = lpSum(\n", " X[c, l, y, s] * unit_profit_lsc[LandType[l[0]]][s][c]\n", " for l in LandName for s in SeasonNum if is_feasible(c, l, y, s)\n", " )\n", " \n", " # 惩罚超过需求的部分：将每个地块、每个季节的单位成本与种植量相乘\n", " penalty_term = lpSum(\n", " X[c, l, y, s] * unit_cost_lsc[LandType[l[0]]][s][c]\n", " for l in LandName for s in SeasonNum if is_feasible(c, l, y, s)\n", " ) - crop_demand[c] * lpSum(\n", " unit_cost_lsc[LandType[l[0]]][s][c]\n", " for l in LandName for s in SeasonNum if is_feasible(c, l, y, s)\n", " )\n", " \n", " # 累积到总目标函数中\n", " total_profit += profit_term - penalty_term\n", "\n", "# 一次性将目标函数添加到模型中\n", "model += total_profit, \"total_profit\"\n", "# # 累积每个作物、每个年份的利润和惩罚\n", "# for c in CropName:\n", "# for y in years:\n", "# # 计算利润部分，单位利润减去单位成本\n", "# profit_term = lpSum(\n", "# X[c, l, y, s] * (unit_profit_lsc[LandType[l[0]]][s][c])\n", "# for l in LandName for s in SeasonNum if is_feasible(c, l, y, s)\n", "# )\n", "# \n", "# # 惩罚超过需求的部分\n", "# penalty_term = Excess[c, y] * lpSum(unit_cost_lsc[LandType[l[0]]][s][c] for l in LandName for s in SeasonNum if\n", "# is_feasible(c, l, y, s))\n", "# \n", "# # 累积到总目标函数中\n", "# total_profit += profit_term - penalty_term\n", "# \n", "# # 一次性将目标函数添加到模型中\n", "# model += total_profit, \"total_profit\"\n", "# \n", "# \n", "# # 目标函数：利润部分和惩罚部分\n", "# for c in CropName:\n", "# for y in years:\n", "# # 计算利润部分，单位利润减去单位成本\n", "# profit_term = lpSum(\n", "# X[c, l, y, s] * (unit_profit_lsc[LandType[l[0]]][s][c])\n", "# for l in LandName for s in SeasonNum if is_feasible(c, l, y, s)\n", "# )\n", "# \n", "# # 惩罚超过需求的部分\n", "# penalty_term = Excess[c, y] * lpSum(unit_cost_lsc[LandType[l[0]]][s][c] for l in LandName for s in SeasonNum if\n", "# is_feasible(c, l, y, s)) # penalty_cost_per_unit 是每单位超过需求的惩罚成本\n", "# \n", "# # 添加到目标函数中\n", "# model += profit_term - penalty_term, f\"total_profit_{c}_{y}\"\n" ], "id": "4505b0f2fe6bf93d", "outputs": [], "execution_count": 28 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.855563Z", "start_time": "2024-09-08T08:06:05.840637Z" } }, "cell_type": "code", "source": [ "# # 添加需求约束\n", "# for c in CropName:\n", "# for y in years:\n", "# model += lpSum(\n", "# X[c, l, y, s] for l in LandName for s in SeasonNum if is_feasible(c, l, y, s)\n", "# ) <= crop_demand[c] + Excess[c, y], f\"demand_constraint_{c}_{y}\"" ], "id": "a2fe5874538f1596", "outputs": [], "execution_count": 29 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.870378Z", "start_time": "2024-09-08T08:06:05.856571Z" } }, "cell_type": "code", "source": [ "# 约束，启动！\n", "# 条件1：每年的所有季节中每种作物的种植量必须小于需求量\n", "# for c in CropName:\n", "# for y in years:\n", "# model += lpSum(X[c, l, y, s] * unit_yield_lsc[LandType[l[0]]][s][c] for l in LandName for s in SeasonNum if\n", "# is_feasible(c, l, y, s)) <= \\\n", "# crop_demand[c], f\"CropDemandConstraint_{c}_{y}\"" ], "id": "1f185c0856fbcf27", "outputs": [], "execution_count": 30 }, { "cell_type": "code", "id": "7e13de7700d38f19", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.901626Z", "start_time": "2024-09-08T08:06:05.871321Z" } }, "source": [ "# 条件2： 每年每季每块地的种植面积不能超过该地块的总面积\n", "for l in LandName:\n", " for y in years:\n", " for s in SeasonNum:\n", " model += lpSum(X[c, l, y, s] for c in CropName if is_feasible(c, l, y, s)) <= LandArea[\n", " l], f\"LandAreaConstraint_{l}_{y}_{s}\"" ], "outputs": [], "execution_count": 31 }, { "cell_type": "code", "id": "1f6ac4323825f28b", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.917541Z", "start_time": "2024-09-08T08:06:05.902521Z" } }, "source": [ "# 条件3： 平旱地、梯田和山坡地每年适宜单季种植[粮食类作物（水稻除外）]。因为除了[粮食类作物（水稻除外）]以外的作物似乎已经被上面的产量和利润的0给约束了，所以大概不需要做限制了吧\n", "for l in LandName:\n", " if l[0] in [\"A\", \"B\", \"C\"]: # [\"平旱地\", \"梯田\", \"山坡地\"]\n", " for y in years:\n", " model += lpSum(\n", " Y[c, l, y, 2] for c in CropName if is_feasible(c, l, y, 2)) == 0, f\"SingleSeasonConstraint1_{y}_{l}\"\n", " # model += lpSum(Y[c, l, y, 1] for c in CropType[\"全粮食（除了水稻）\"] if is_feasible(c, l, y, 1)) >= 1, f\"SingleSeasonConstraint2_{y}_{l}\"\n" ], "outputs": [], "execution_count": 32 }, { "cell_type": "code", "id": "c0e9b6b37092f0e7", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.933622Z", "start_time": "2024-09-08T08:06:05.918440Z" } }, "source": [ "# 条件4： 水浇地每年可以单季种植水稻或两季种植蔬菜作物。\n", "for l in LandName:\n", " if l[0] == \"D\":\n", " for y in years:\n", " for c in CropType[\"全蔬菜\"]:\n", " if is_feasible(c,l,y,2):\n", " model += Y[\"水稻\", l, y, 1] + Y[c, l, y, 2] <= 1, f\"IrrigatedConstraint0_{l}_{y}_{c}\"\n", "\n", "# for l in LandName:\n", "# if l[0] in [\"D\"]:\n", "# model += lpSum(Y[c, l, y, s] for c in CropType[\"全粮食（除了水稻）\"] for y in years for s in SeasonNum) == 0, f\"IrrigatedConstraint3_{l}\"\n", "\n", "# if l[0] != \"D\": # [\"水浇地\"]\n", "# continue\n", "# for y in years:\n", "# model += (\n", "# (lpSum(Y[\"水稻\", l, y, \"单季\"]) != 0) and\n", "# (lpSum(\n", "# Y[c, l, y, s]\n", "# for c in CropType['全蔬菜']\n", "# for s in [\"第一季\", \"第二季\"]\n", "# ) == 0)\n", "# ) or (\n", "# (lpSum(Y[\"水稻\", l, y, \"单季\"]) == 0) and\n", "# (lpSum(\n", "# Y[c, l, y, s]\n", "# for c in CropType['全蔬菜']\n", "# for s in [\"第一季\", \"第二季\"]\n", "# ) != 0)\n", "# ), f\"irrigatedConstraint_{l}_{y}\"\n", "\n" ], "outputs": [], "execution_count": 33 }, { "cell_type": "code", "id": "8f8da502641f32fa", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.948896Z", "start_time": "2024-09-08T08:06:05.934627Z" } }, "source": [ "# 条件5： 若在某块水浇地种植两季蔬菜，第一季可种植多种蔬菜（大白菜、白萝卜和红萝卜除外）；第二季只能种植大白菜、白萝卜和红萝卜中的一种（便于管理）。\n", "# 感觉没必要，因为前面有field和profit为0的惩罚\n", "# for l in LandName:\n", "# if l[0] != \"D\": # [\"水浇地\"]\n", "# continue\n", "# for c in CropType['全蔬菜']:\n", "# for y in years:\n", "# if c not in CropType['特殊蔬菜']:\n", "# if is_feasible(c, l, y, 2):\n", "# model += Y[c, l, y, 2] == 0, f\"SpecialCropConstraint_{l}_{c}_{y}_第二季\"\n", "# else:\n", "# if is_feasible(c, l, y, 1):\n", "# model += Y[c, l, y, 1] == 0, f\"SpecialCropConstraint_{l}_{c}_{y}_第一季\"\n", " # if c not in CropType['特殊蔬菜']:\n", " # model += lpSum(Y[c, l, y, 2] for y in years) == 0, f\"SpecialCropConstraint_{l}_{c}_第二季\"\n", " # else:\n", " # model += lpSum(Y[c, l, y, 1] for y in years) == 0, f\"SpecialCropConstraint_{l}_{c}_第一季\"\n", "\n", "# for l in LandName:\n", "# if l[0] != \"D\": # [\"水浇地\"]\n", "# continue\n", "# for y in years:\n", "# model += lpSum(Y[\"水稻\", l, y, s] for s in [\"第一季\", \"第二季\"]) == 0, f\"SpecialCropConstraint1_{l}_{y}\"\n", "# model += (lpSum(Y[c, l, y, s] for s in [\"第一季\", \"第二季\"] for c in CropType['全蔬菜']) >= 0) and (\n", "# lpSum(Y[\"水稻\", l, y, \"单季\"]) == 0), f\"SpecialCropConstraint2_{l}_{y}\"" ], "outputs": [], "execution_count": 34 }, { "cell_type": "code", "id": "df2d7e8918382a0", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.964928Z", "start_time": "2024-09-08T08:06:05.950903Z" } }, "source": [ "# 条件6： 根据季节性要求，大白菜、白萝卜和红萝卜只能在水浇地的第二季种植。\n", "# for c in CropType[\"特殊蔬菜\"]:\n", "# # for l in LandName:\n", "# # if l[0] != \"D\": # [\"水浇地\"]\n", "# # model += lpSum(Y[c, l, y, s] for y in years for s in SeasonNum for l in LandName if\n", "# # l[0] != \"D\") == 0, f\"SpecialCropConstraint_{c}\"\n", "# for l in LandName:\n", "# if l[0] != \"D\": # [\"水浇地\"]\n", "# for y in years:\n", "# for s in SeasonNum:\n", "# if is_feasible(c, l, y, s):\n", "# model += Y[c, l, y, s] == 0, f\"SpecialCropConstraint_{c}_{l}_{y}_{s}\"\n" ], "outputs": [], "execution_count": 35 }, { "cell_type": "code", "id": "1d402d3df13f6732", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.980443Z", "start_time": "2024-09-08T08:06:05.965932Z" } }, "source": [ "# 条件7： 大棚没有单季。普通大棚每年种植两季作物，第一季可种植多种蔬菜（大白菜、白萝卜和红萝卜除外），第二季只能种植食用菌。\n", "# for l in LandName:\n", "# for y in years:\n", "# for c in CropName:\n", "# if l[0] in [\"E\", \"F\"]: # 大棚\n", "# model += lpSum(Y[c, l, y, \"单季\"]) == 0, f\"SpecialCropConstraint_{c}_{y}_{l}\"\n", "\n", "# for l in LandName:\n", "# if l[0] == \"E\": # [\"普通大棚\"]\n", "# # model += lpSum(Y[c, l, y, 1] for c in CropType[\"特殊蔬菜\"] for y in years) == 0, f\"SpecialCropConstraint_{l}\"\n", "# # model += lpSum(Y[c, l, y, 2] for c in CropName if c not in CropType[\"食用菌\"] for y in\n", "# # years) == 0, f\"SpecialCropConstraint1__{l}\"\n", "# for y in years:\n", "# for c in CropType[\"特殊蔬菜\"]:\n", "# if is_feasible(c, l, y, 1):\n", "# model += Y[c, l, y, 1] == 0, f\"SpecialCropConstraint1_{l}_{y}_{c}\"\n", "# for c in CropName:\n", "# if c not in CropType[\"食用菌\"]:\n", "# if is_feasible(c, l, y, 2):\n", "# model += Y[c, l, y, 2] == 0, f\"SpecialCropConstraint2_{l}_{y}_{c}\"\n" ], "outputs": [], "execution_count": 36 }, { "cell_type": "code", "id": "930ab378623172ec", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:05.996056Z", "start_time": "2024-09-08T08:06:05.982444Z" } }, "source": [ "# 条件8： 食用菌类只能在普通大棚第二季的时候种植\n", "# for c in CropType[\"食用菌\"]:\n", "# # model += lpSum(Y[c, l, y, s] for y in years for l in LandName if l[0] != \"E\" for s in\n", "# # SeasonNum) == 0, f\"SpecialCropConstraint2_{c}\"\n", "# # model += lpSum(Y[c, l, y, 1] for l in LandName if l[0] == \"E\" for y in years) == 0, f\"SpecialCropConstraint3_{c}\"\n", "# for y in years:\n", "# for s in SeasonNum:\n", "# model += lpSum(Y[c, l, y, s] for l in LandName if l[0] != \"E\" if\n", "# is_feasible(c, l, y, s)) == 0, f\"SpecialCropConstraint2_{y}_{c}_{s}\"\n", "# model += lpSum(Y[c, l, y, 1] for l in LandName if l[0] == \"E\" if\n", "# is_feasible(c, l, y, 1)) == 0, f\"SpecialCropConstraint3_{y}_{c}\"\n", "# for l in LandName:\n", "# if l[0] != \"E\":\n", "# for y in years:\n", "# for s in SeasonType:\n", "# model += lpSum(Y[c, l, y, s] for c in CropType[\"食用菌\"]) == 0, f\"SpecialCropConstraint1_{l}_{y}_{s}\"\n", "# else:\n", "# for y in years:\n", "# model += lpSum(Y[c, l, y, \"第一季\"] for c in CropType[\"食用菌\"]) == 0, f\"SpecialCropConstraint2_{l}_{y}\"\n" ], "outputs": [], "execution_count": 37 }, { "cell_type": "code", "id": "bda8b4c538a097bc", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:06.011840Z", "start_time": "2024-09-08T08:06:05.997121Z" } }, "source": [ "# 条件9： 智慧大棚每年都可种植两季蔬菜（大白菜、白萝卜和红萝卜除外）\n", "# for l in LandName:\n", "# if l[0] == 'F':\n", "# # model += lpSum(Y[c, l, y, s] for c in CropType[\"特殊蔬菜\"] for y in years for s in\n", "# # SeasonNum) == 0, f\"SpecialCropConstraint4_{l}\"\n", "# for y in years:\n", "# for s in SeasonNum:\n", "# model += lpSum(Y[c, l, y, s] for c in CropType[\"特殊蔬菜\"] if\n", "# is_feasible(c, l, y, s)) == 0, f\"SpecialCropConstraint1_{l}_{y}_{s}\"\n", " # for y in years:\n", " # model += lpSum(Y[c, l, y, \"第一季\"] for c in CropType[\"全蔬菜\"] if\n", " # c not in CropType[\"特殊蔬菜\"]) >= 0, f\"SpecialCropConstrain3_{l}_{y}\"\n", " # model += lpSum(Y[c, l, y, \"第二季\"] for c in CropType[\"全蔬菜\"] if\n", " # c not in CropType[\"特殊蔬菜\"]) >= 0, f\"SpecialCropConstraint4_{l}_{y}\"\n", " # model += lpSum(\n", " # Y[c, l, y, s] for c in CropType[\"特殊蔬菜\"] for s in SeasonType) == 0, f\"SpecialCropConstraint5_{l}_{y}\"" ], "outputs": [], "execution_count": 38 }, { "cell_type": "code", "id": "e8fb2dea1326a05b", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:06.043385Z", "start_time": "2024-09-08T08:06:06.013345Z" } }, "source": [ "# 条件10： 别种得太碎了，啥意思？ 每种作物不超过4块地吧。\n", "for c in CropName:\n", " for y in years:\n", " for s in SeasonNum:\n", " model += lpSum(\n", " Y[c, l, y, s] for l in LandName if is_feasible(c, l, y, s)) <= 3, f\"MaxCropTypeConstraint_{c}_{y}_{s}\"" ], "outputs": [], "execution_count": 39 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:06.074027Z", "start_time": "2024-09-08T08:06:06.044845Z" } }, "cell_type": "code", "source": [ "# 条件11： 每块地最大种植作物种类数3\n", "for l in LandName:\n", " for y in years:\n", " for s in SeasonNum:\n", " model += lpSum(\n", " Y[c, l, y, s] for c in CropName if is_feasible(c, l, y, s)) <= 3, f\"MaxLandConstraint_{l}_{y}_{s}\"" ], "id": "b8d9ae82090818ec", "outputs": [], "execution_count": 40 }, { "cell_type": "code", "id": "49f1490823c6af3c", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:06.152311Z", "start_time": "2024-09-08T08:06:06.075083Z" } }, "source": [ "# 条件12： 最小种植面积：0.2吧\n", "for l in LandName:\n", " for y in years:\n", " for s in SeasonNum:\n", " for c in CropName:\n", " if is_feasible(c, l, y, s):\n", " model += X[c, l, y, s] >= 0.2 * (\n", " 1 if X[c, l, y, s] else 0), f\"MinCropAreaConstraint_{c}_{l}_{y}_{s}\"" ], "outputs": [], "execution_count": 41 }, { "cell_type": "code", "id": "bdf1048b83723f91", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:06.230187Z", "start_time": "2024-09-08T08:06:06.153299Z" } }, "source": [ "# 条件13 ： 最重要的，不能重复种植同一块地同一年同一季的同一作物\n", "# 每种作物在同一地块（含大棚）都不能连续重茬种植\n", "\n", "for l in LandName:\n", " for c in CropName:\n", " for y in years[1:]: # 单季不能连年种植 同一年不能连续种植 跨年也不能连续种植\n", " if is_feasible(c, l, y - 1, 1) and is_feasible(c, l, y - 1, 2):\n", " model += Y[c, l, y - 1, 1] + Y[c, l, y - 1, 2] <= 1, f\"RepeatPlantingConstraint_{c}_{l}_{y}\"\n", " model += Y[c, l, y - 1, 2] + Y[c, l, y, 1] <= 1, f\"RepeatPlantingConstraint1_{c}_{l}_{y}\"\n", " if is_feasible(c, l, y - 1, 1) and is_feasible(c, l, y, 1):\n", " if l[0] in [\"A\", \"B\", \"C\"]: # and c in CropType[\"全粮食\"]:\n", " model += Y[c, l, y - 1, 1] + Y[c, l, y, 1] <= 1, f\"RepeatPlantingConstraint2_{c}_{l}_{y}\"\n", " elif l[0] == \"D\" and c == \"水稻\":\n", " model += Y[c, l, y - 1, 1] + Y[c, l, y, 1] <= 1, f\"RepeatPlantingConstraint3_{c}_{l}_{y}\"\n", "\n", " # if y < years[-1]:\n", " # model += Y[c, l, y, \"单季\"] + Y[c, l, y + 1, \"单季\"] <= 1, f\"SingleSeasonConstraint1_{c}_{l}_{y}\"\n", " # model += Y[c, l, y, \"第一季\"] + Y[c, l, y + 1, \"第二季\"] <= 1, f\"DoubleSeasonConstraint1_{c}_{l}_{y}\"\n", " # model += Y[c, l, y, \"第一季\"] + Y[c, l, y, \"第二季\"] <= 1, f\"DoubleSeasonConstraint2_{c}_{l}_{y}\"\n" ], "outputs": [], "execution_count": 42 }, { "cell_type": "code", "id": "50da0aff9c68ae24", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:06.245603Z", "start_time": "2024-09-08T08:06:06.230862Z" } }, "source": [ "# 条件14：从 2023 年开始，要求每个地块（含大棚） 在三年内至少种植一次豆类作物\n", "for l in LandName:\n", " for y in years[2:]: # 只需循环到倒数第三年，因为要考虑三年周期\n", " # 在 y-2 到 y+2 之间的三年内，至少有一次豆类作物\n", " model += lpSum(X[c, l, y_r, s]\n", " for c in CropType['豆类']\n", " for y_r in range(y - 2, y + 1)\n", " for s in SeasonNum if is_feasible(c, l, y_r, s)) >= LandArea[l], f\"BeanConstraint_{l}_{y}\"\n", "\n", "\n", "\n", "# 条件13： 最重要的，从 2023 年开始要求每个地块（含大棚） 的所有土地三年内至少种植一次豆类作物\n", "# CropType['豆类']\n", "# for l in LandName:\n", "# for y in years[:-2]:\n", "# model += lpSum(Y[c,l,y_r,s] for c in CropType['豆类'] for y_r in range(y,y+3) for s in SeasonType)>=1, f\"BeanConstraint_{l}_{y}\"\n", "# model += lpSum(X[c, l, y_r, s] for c in CropType['豆类'] for y_r in range(y, y + 3) for s in SeasonType) >= \\\n", "# LandArea[l], f\"BeanConstraint_{l}_{y}\"\n", "# model += lpSum(Y[c, l, y_r, \"单季\"] for c in CropType['豆类'] for y_r in\n", "# range(y - 2, y + 1)) >= 1, f\"BeanConstraint1_{l}_{y}\"\n", "# model += lpSum(Y[c, l, y_r, s] for c in CropType['豆类'] for y_r in range(y - 2, y + 1) for s in\n", "# [\"第一季\", \"第二季\"]) >= 1, f\"BeanConstraint2_{l}_{y}\"" ], "outputs": [], "execution_count": 43 }, { "cell_type": "code", "id": "d4792a1210afca3b", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:15.814241Z", "start_time": "2024-09-08T08:06:06.246550Z" } }, "source": [ "%%time\n", "model.solve(\n", " pulp.GUROBI_CMD(msg=True,\n", " timeLimit=7200,\n", " threads=20,\n", " options=[(\"Method\", 2), (\"MIPGap\", 0.0001)]))\n", "\n", "# model.solve()\n", "# 创建求解器实例\n", "# solver = pulp.PULP_CBC_CMD(\n", "# timeLimit=120,\n", "# threads=4,\n", "# )\n", "# solver.solve(model)\n", "# print(Y)\n", "\n" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 0 ns\n", "Wall time: 9.56 s\n" ] }, { "data": { "text/plain": [ "1" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 44 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:15.829436Z", "start_time": "2024-09-08T08:06:15.815222Z" } }, "cell_type": "code", "source": [ "# for c in CropName:\n", "# for l in LandName:\n", "# for y in years:\n", "# for s in SeasonNum:\n", "# print(f\"Y[({c}, {l}, {y}, {s})] = {pulp.value(Y[(c, l, y, s)])}\")" ], "id": "c64b04effa808515", "outputs": [], "execution_count": 45 }, { "cell_type": "code", "id": "cb3f4e95111e3292", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:16.238091Z", "start_time": "2024-09-08T08:06:15.830431Z" } }, "source": [ "# 输出文件名，包含起始年份和结束年份\n", "output_filename = f\"planting_plan_{years[0]}-{years[-1]}.xlsx\"\n", "\n", "with pd.ExcelWriter(output_filename) as writer:\n", " for y in years:\n", "\n", " # 用于存储需要交换的DataFrame\n", " sheets_to_swap = {}\n", "\n", " for s in SeasonNum:\n", " # 创建一个空的 DataFrame，横轴为作物名称，纵轴为地块名称\n", " result_table = pd.DataFrame(columns=CropName, index=LandName)\n", "\n", " # 填充表格数据\n", " for l in LandName:\n", " for c in CropName:\n", " # 获取变量 X[c, l, y, s] 的值\n", " if is_feasible(c, l, y, s):\n", " crop_value = value(X[c, l, y, s])\n", " if crop_value is not None and crop_value > 0:\n", " result_table.at[l, c] = crop_value # 填入结果\n", "\n", " # 用 0 填充空值\n", " result_table.fillna(0, inplace=True)\n", " sheet_name = f\"{y}_Season_第{s}季\"\n", " result_table.to_excel(writer, sheet_name=sheet_name)\n", "\n", "print(f\"结果已保存到文件：{output_filename}\")\n" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "结果已保存到文件：planting_plan_2024-2030.xlsx\n" ] } ], "execution_count": 46 }, { "cell_type": "code", "id": "ebbf10d3", "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:16.687917Z", "start_time": "2024-09-08T08:06:16.239987Z" } }, "source": [ "import pandas as pd\n", "\n", "# 假设以下变量已经定义\n", "# years, SeasonNum, CropName, LandName, X, value, output_filename\n", "\n", "with pd.ExcelWriter(output_filename) as writer:\n", " for y in years:\n", " # 用于存储需要交换的DataFrame\n", " sheets_to_swap = {}\n", "\n", " for s in SeasonNum:\n", " # 创建一个空的 DataFrame，横轴为作物名称，纵轴为地块名称\n", " result_table = pd.DataFrame(columns=CropName, index=LandName)\n", "\n", " # 填充表格数据\n", " for l in LandName:\n", " for c in CropName:\n", " # 获取变量 X[c, l, y, s] 的值\n", " if is_feasible(c, l, y, s):\n", " crop_value = value(X[c, l, y, s])\n", " if crop_value is not None and crop_value > 0:\n", " result_table.at[l, c] = crop_value # 填入结果\n", "\n", " # 用 0 填充空值\n", " result_table.fillna(0, inplace=True)\n", "\n", " # 对DataFrame中的所有数值进行四舍五入，保留两位小数\n", " result_table = result_table.round(2)\n", "\n", " sheet_name = f\"{y}_Season_第{s}季\"\n", " result_table.to_excel(writer, sheet_name=sheet_name)\n" ], "outputs": [], "execution_count": 47 }, { "metadata": { "ExecuteTime": { "end_time": "2024-09-08T08:06:16.703415Z", "start_time": "2024-09-08T08:06:16.688918Z" } }, "cell_type": "code", "source": "", "id": "ab1fd16df70c4293", "outputs": [], "execution_count": 47 } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.17" } }, "nbformat": 4, "nbformat_minor": 5 }