如何将数据集转换为数组

name,age,city
Alice,30,New York
Bob,25,Los Angeles

import pandas as pd

# 读取CSV文件
df = pd.read_csv('data.csv')

# 转换为NumPy数组
array = df.to_numpy()
print(array)

[
    {"name": "Alice", "age": 30, "city": "New York"},
    {"name": "Bob", "age": 25, "city": "Los Angeles"}
]

const fs = require('fs');

// 读取JSON文件
const data = JSON.parse(fs.readFileSync('data.json', 'utf8'));

console.log(data);

import com.opencsv.CSVReader;
import java.io.FileReader;
import java.util.ArrayList;
import java.util.List;

public class Main {
    public static void main(String[] args) throws Exception {
        CSVReader reader = new CSVReader(new FileReader("data.csv"));
        List<String[]> records = reader.readAll();
        String[][] array = records.toArray(new String[0][]);

        for (String[] record : array) {
            System.out.println(String.join(", ", record));
        }
    }
}

import pandas as pd

# 读取CSV文件
df = pd.read_csv('data.csv')

# 填充缺失值
df.fillna(0, inplace=True)

# 移除异常值（假设年龄不能小于0）
df = df[df['age'] >= 0]

# 转换为NumPy数组
array = df.to_numpy()
print(array)