DeepSeek 评中国最宜居城市是珠海，怎么看这个结果？你去过珠海吗？

import requests import re from collections import defaultdict import matplotlib.pyplot as plt # 用于存放每个排名（1~5）的城市统计 ranking_counts = {1: defaultdict(int), 2: defaultdict(int), 3: defaultdict(int), 4: defaultdict(int), 5: defaultdict(int)} # 循环50次请求 for i in range(50): url = "https://api.siliconflow.cn/v1/chat/completions" payload = { "model": "deepseek-ai/DeepSeek-V3", "messages": [ { "role": "user", "content": "R1中国最宜居的城市，请从第一到第五直接给出答案。" } ], "stream": False, "max_tokens": 512, "stop": ["null"], "temperature": 0.7, "top_p": 0.7, "top_k": 50, "frequency_penalty": 0.5, "n": 1, "response_format": {"type": "text"} } headers = { "Authorization": "Bearer <token>", "Content-Type": "application/json" } response = requests.post(url, json=payload, headers=headers) answer = response.text print(f"Response {i+1}:\n{answer}\n") # 假设返回结果格式类似： # "1. 北京 # 2. 上海 # 3. 广州 # 4. 深圳 # 5. 成都" # 使用正则表达式提取排名与城市 pattern = re.compile(r"^\s*(\d+)[\.\、\s]+(.+)$", re.MULTILINE) matches = pattern.findall(answer) if matches and len(matches) >= 5: for rank, city in matches[:5]: try: rank_int = int(rank) if 1 <= rank_int <= 5: ranking_counts[rank_int][city.strip()] += 1 except ValueError: continue # 统计完成后打印统计结果 print("统计结果：") for rank in range(1, 6): print(f"\n第 {rank} 名：") for city, count in ranking_counts[rank].items(): print(f"{city}：{count} 次") # 可视化部分：为每个排名绘制一个条形图 fig, axs = plt.subplots(3, 2, figsize=(12, 10)) axs = axs.flatten() for idx, rank in enumerate(range(1, 6)): cities = list(ranking_counts[rank].keys()) counts = list(ranking_counts[rank].values()) ax = axs[idx] ax.bar(cities, counts, color='skyblue') ax.set_title(f"第 {rank} 名城市出现频次") ax.set_xlabel("城市") ax.set_ylabel("次数") ax.tick_params(axis='x', rotation=45) # 删除多余的子图（如果有） if len(axs) > 5: fig.delaxes(axs[-1]) plt.tight_layout() plt.show()