ChatGPT Team VS Genmini Pro VS 文心一言3.5，ChatGPT到底有多强大？

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写在前面

本人只支持GPT-4.0，所以没管谷歌和百度的事（因为它们免费用户也能生成图片）

ChatGPT

键盘快捷键

询问版本号

生成图片

写代码

<dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-thymeleaf</artifactId> </dependency> <!-- 其他依赖 --> </dependencies> package com.example.shopping; import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; @SpringBootApplication public class Application { public static void main(String[] args) { SpringApplication.run(Application.class, args); } } package com.example.shopping; import org.springframework.stereotype.Controller; import org.springframework.ui.Model; import org.springframework.web.bind.annotation.GetMapping; @Controller public class ShoppingController { @GetMapping("/") public String homePage(Model model) { // 可以在这里添加模型属性，例如商品列表 return "index"; // 返回index.html模板 } } <!DOCTYPE html> <html xmlns:th="http://www.thymeleaf.org"> <head> <title>购物网站</title> <meta charset="UTF-8"> <!-- 引入CSS --> </head> <body> <h1>欢迎来到我的购物网站</h1> <!-- 内容和结构 --> </body> </html> ./mvnw spring-boot:run

写表格

导出Excel表格

import pandas as pd # 创建数据 data = { "边数 (n)": list(range(3, 13)), "多边形名称": ["三角形", "四边形", "五边形", "六边形", "七边形", "八边形", "九边形", "十边形", "十一边形", "十二边形"], "内角和 (S)": [(n-2)*180 for n in range(3, 13)] } # 创建DataFrame df = pd.DataFrame(data) # 文件路径 file_path = '/mnt/data/polygon_angles.xlsx' # 写入Excel文件 df.to_excel(file_path, index=False) file_path

https://www.123pan.com/s/3fqmjv-2MK3v.html

代码分析

生成图表

# 数据（英文版） countries_en = ['China', 'India', 'USA', 'Indonesia', 'Brazil', 'Others'] population = [1400, 1350, 330, 270, 210, 2940] # 生成饼图（英文版） plt.figure(figsize=(10, 7)) plt.pie(population, labels=countries_en, autopct='%1.1f%%', startangle=140) plt.title('World Population Statistics Example Pie Chart') plt.axis('equal') # Ensure that pie is drawn as a circle. plt.show()

导出Excel表格

# 将数据导出到Excel data_en = { "Country": countries_en, "Population (millions)": population } # 创建DataFrame df_en = pd.DataFrame(data_en) # 指定导出的Excel文件路径 file_path_en = '/mnt/data/world_population_statistics.xlsx' # 导出到Excel df_en.to_excel(file_path_en, index=False) file_path_en

https://www.123pan.com/s/3fqmjv-sMK3v.html

导出图表图片

# Re-generate the pie chart to save it as an image file # Generate pie chart (English version) for saving plt.figure(figsize=(10, 7)) plt.pie(population, labels=countries_en, autopct='%1.1f%%', startangle=140) plt.title('World Population Statistics Example Pie Chart') plt.axis('equal') # Ensure that pie is drawn as a circle. # File path for saving image image_file_path = '/mnt/data/world_population_pie_chart.png' # Save the figure plt.savefig(image_file_path) image_file_path