第五周，一些python的代码，有一些bug还没找出来
{
"cells": [
{
"cell_type": "markdown",
"id": "f427f82c",
"metadata": {},
"source": [
"# 第一题"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "3bb0e5ff",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"总的等待时间: 25 h\n",
"总的延迟时间: 1 h\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# 创建码头的DataFrame\n",
"ports = pd.DataFrame({'Type': ['Bulk', 'Container', 'Gas'],\n",
" 'Number': [3, 2, 1],\n",
" 'Capacity': [4, 3, 2],\n",
" 'Docking time limit': [8, 12, 16]})\n",
"\n",
"# 创建船只的DataFrame\n",
"ships = pd.DataFrame({'Type': ['Bulk', 'Container', 'Gas'],\n",
" 'Arrival': [10, 6, 3],\n",
" 'Docking time': [4, 6, 8],\n",
" 'Average stay': [6, 8, 10],\n",
" 'Priority': [1, 2, 3]})\n",
"\n",
"# 模拟船只的到达和离开\n",
"for i in range(24): # 对于每一个小时\n",
" # 检查是否有船只到达\n",
" for j in range(len(ships)):\n",
" if np.random.rand() < ships.loc[j, 'Arrival'] / 24: # 如果类型j的船只到达\n",
" # 寻找可用的、优先级最高的码头\n",
" available_ports = ports[(ports['Number'] > 0) & (ports['Type'] == ships.loc[j, 'Type'])]\n",
" if len(available_ports) > 0:\n",
" # 减少可用码头的数量\n",
" ports.loc[available_ports.index[0], 'Number'] -= 1\n",
" # 增加船只的停靠时间\n",
" ships.loc[j, 'Docking time'] += ships.loc[j, 'Average stay']\n",
" else:\n",
" # 如果没有可用码头，船只需要等待\n",
" ships.loc[j, 'Docking time'] += 1\n",
"\n",
" # 检查是否有船只离开\n",
" for j in range(len(ships)):\n",
" if ships.loc[j, 'Docking time'] > 0:\n",
" ships.loc[j, 'Docking time'] -= 1\n",
" if ships.loc[j, 'Docking time'] == 0:\n",
" # 如果船只完成了停靠，增加可用码头的数量\n",
" ports.loc[ports[ports['Type'] == ships.loc[j, 'Type']].index[0], 'Number'] += 1\n",
"\n",
"# 计算总的等待时间和延迟时间\n",
"total_waiting_time = ships['Docking time'].sum()\n",
"total_delay_time = ships['Docking time'].sum() - ships['Average stay'].sum()\n",
"\n",
"print(f'总的等待时间: {total_waiting_time}','h')\n",
"print(f'总的延迟时间: {total_delay_time}','h')"
]
},
{
"cell_type": "markdown",
"id": "ce5c1f05",
"metadata": {},
"source": [
"# 第二题"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "cdefc713",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"日总收入(万元): 110\n",
"运营效率: 1.1956521739130435\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# 创建码头的DataFrame\n",
"ports = pd.DataFrame({'Type': ['Bulk', 'Container', 'Gas'],\n",
" 'Number': [3, 2, 1],\n",
" 'Capacity': [4, 3, 2],\n",
" 'Docking time limit': [8, 12, 16],\n",
" 'Average Load': [0.8, 0.7, 0.6]})\n",
"\n",
"# 创建船只的DataFrame\n",
"ships = pd.DataFrame({'Type': ['Bulk', 'Container', 'Gas'],\n",
" 'Arrival': [10, 6, 3],\n",
" 'Docking time': [4, 6, 8],\n",
" 'Average stay': [6, 8, 10],\n",
" 'Priority': [1, 2, 3],\n",
" 'Revenue': [15, 20, 25]})\n",
"\n",
"# 每日运营成本\n",
"operating_cost = 100\n",
"\n",
"# 计算每日收益\n",
"daily_revenue = 0\n",
"\n",
"# 模拟船只的到达和离开\n",
"for i in range(24): # 对于每一个小时\n",
" # 检查是否有船只到达\n",
" for j in range(len(ships)):\n",
" if np.random.rand() < ships.loc[j, 'Arrival'] / 24: # 如果类型j的船只到达\n",
" # 寻找可用的、优先级最高的码头\n",
" available_ports = ports[(ports['Number'] > 0) & (ports['Type'] == ships.loc[j, 'Type'])]\n",
" if len(available_ports) > 0:\n",
" # 减少可用码头的数量\n",
" ports.loc[available_ports.index[0], 'Number'] -= 1\n",
" # 增加船只的停靠时间\n",
" ships.loc[j, 'Docking time'] += ships.loc[j, 'Average stay']\n",
" # 增加收益\n",
" daily_revenue += ships.loc[j, 'Revenue']\n",
" else:\n",
" # 如果没有可用码头，船只需要等待\n",
" ships.loc[j, 'Docking time'] += 1\n",
"\n",
" # 检查是否有船只离开\n",
" for j in range(len(ships)):\n",
" if ships.loc[j, 'Docking time'] > 0:\n",
" ships.loc[j, 'Docking time'] -= 1\n",
" if ships.loc[j, 'Docking time'] == 0:\n",
" # 如果船只完成了停靠，增加可用码头的数量\n",
" ports.loc[ports[ports['Type'] == ships.loc[j, 'Type']].index[0], 'Number'] += 1\n",
"\n",
"# 计算总的等待时间和延迟时间\n",
"total_waiting_time = ships['Docking time'].sum()\n",
"total_delay_time = ships['Docking time'].sum() - ships['Average stay'].sum()\n",
"\n",
"# 计算运营效率\n",
"operating_efficiency = daily_revenue / (total_waiting_time + total_delay_time + operating_cost)\n",
"\n",
"print(f\"日总收入(万元): {daily_revenue}\")\n",
"print(f\"运营效率: {operating_efficiency}\")"
]
},
{
"cell_type": "markdown",
"id": "7ead9f92",
"metadata": {},
"source": [
"# 第三题"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "6f9e6c4b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"总的等待时间: 13 hours\n",
"总的延迟时间: 24 hours\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"# 定义港口数据\n",
"ports = pd.DataFrame({\n",
" 'Type': ['Bulk', 'Container', 'LPG'],\n",
" 'Number': [3, 2, 1],\n",
" 'Capacity': [4, 3, 2],\n",
" 'Time Limit': [8, 12, 16],\n",
" 'Priority': [1, 2, 3]\n",
"}).set_index('Type')\n",
"\n",
"\n",
"# 定义船只数据\n",
"ships = pd.DataFrame({\n",
" 'Type': ['Bulk', 'Container', 'LPG'],\n",
" 'Arrival Number': [10, 6, 3],\n",
" 'Docking Time': [6, 8, 10],\n",
" 'Priority': [1, 2, 3]\n",
"}).set_index('Type')\n",
"\n",
"# 初始化等待时间和延迟时间\n",
"waiting_time = 0\n",
"delay_time = 0\n",
"\n",
"# 模拟24小时的运营过程\n",
"for hour in range(24):\n",
" # 检查是否有船只到达\n",
" arriving_ships = ships[ships['Arrival Number'] > 0]\n",
" if len(arriving_ships) > 0:\n",
" selected_ship = arriving_ships.sort_values(by='Priority', ascending=False).iloc[0]\n",
" # 减少到达数量\n",
" ships.loc[selected_ship.name, 'Arrival Number'] -= 1\n",
" \n",
" # 检查是否有可用的码头\n",
" available_ports = ports[ports['Number'] > 0]\n",
" if len(available_ports) > 0:\n",
" selected_port = available_ports.sort_values(by='Priority', ascending=False).iloc[0]\n",
" # 减少可用码头的数量\n",
" ports.loc[selected_port.name, 'Number'] -= 1\n",
" \n",
" # 计算停靠时间\n",
" docking_time = selected_ship['Docking Time']\n",
" if docking_time > selected_port['Time Limit']:\n",
" delay_time += docking_time - selected_port['Time Limit']\n",
" docking_time = selected_port['Time Limit']\n",
" ports.loc[selected_port.name, 'Time Limit'] -= docking_time\n",
" else:\n",
" # 如果没有可用码头，增加等待时间\n",
" waiting_time += 1\n",
"\n",
"print(f\"总的等待时间: {waiting_time} hours\")\n",
"print(f\"总的延迟时间: {delay_time} hours\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "451748ea",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.8.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
标签：loc,Docking,ships,博客,暑假,time,大二,Type,ports From： https://www.cnblogs.com/Bronya019c/p/17627268.html