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

2024-02-22 AIGC 0

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

%20写代码%20

<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;@SpringBootApplicationpublic 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;@Controllerpublic 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DataFramedf = 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Exceldata_en = {    "Country": countries_en,    "Population (millions)": population}# 创建DataFramedf_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Exceldf_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 savingplt.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 imageimage_file_path = '/mnt/data/world_population_pie_chart.png'# Save the figureplt.savefig(image_file_path)image_file_path