如何将timeseries数据中的列作为数组返回

import pandas as pd

# 读取timeseries数据
data = pd.read_csv('data.csv')

# 提取需要的列数据并保存到数组
column_array = data['column_name'].to_numpy()

# 返回数组
return column_array

import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

public class Main {
    public static void main(String[] args) {
        List<Double> columnList = new ArrayList<>();

        try (BufferedReader reader = new BufferedReader(new FileReader("data.csv"))) {
            String line;
            while ((line = reader.readLine()) != null) {
                String[] columns = line.split(",");
                double columnValue = Double.parseDouble(columns[columnIndex]);
                columnList.add(columnValue);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }

        // 将List转换为数组
        double[] columnArray = new double[columnList.size()];
        for (int i = 0; i < columnList.size(); i++) {
            columnArray[i] = columnList.get(i);
        }

        // 返回数组
        return columnArray;
    }
}