读取csv并且绘制散点图

本人是python新手，对python不熟，所以写了这篇博客用来方便自己
首先是csv文件，csv文件的生成是用java的，因为做实验的环境在java
CSV：

time,cost
1745.0093968037922,0.44017038833986216
1744.1923619737045,0.44020930380282514
1743.5844056242627,0.45103601130745474
1742.328138957596,0.45312215270421813
1552.3770421538036,0.4832019464694919
1551.4868421538035,0.485507344728751
1549.9001333333335,0.505857706356066
1549.3255666666669,0.506082564004214

java里面用来生成csv的代码

public class CSVUtil {
    public static void saveCsv(List<? extends AbIndividual> abIndividuals,String fileName,boolean isNormalizing,boolean append){
        try{
            FileWriter fw = new FileWriter(fileName,append);
            PrintWriter printWriter = new PrintWriter(new BufferedWriter(fw));
            printWriter.print("time");
            printWriter.print(",");
            printWriter.print("cost");
            printWriter.println();
            double [][]data = new double[abIndividuals.size()][2];
            double f1Min = Double.MAX_VALUE;
            double f2Min = Double.MAX_VALUE;
            double f1Max = Double.MIN_VALUE;
            double f2Max = Double.MIN_VALUE;
            for (int i = 0; i < abIndividuals.size(); i++) {
                data[i][0] = abIndividuals.get(i).getFitness()[0];
                f1Min = Math.min(f1Min,data[i][0]);
                f1Max = Math.max(f1Max,data[i][0]);
                data[i][1] = abIndividuals.get(i).getFitness()[1];
                f2Min = Math.min(f2Min,data[i][1]);
                f2Max = Math.max(f2Max,data[i][1]);
            }
            if(isNormalizing){
                for (int i = 0; i < abIndividuals.size(); i++) {
                    data[i][0] = (data[i][0] - f1Min)/(f1Max - f1Min);
                    data[i][1] = (data[i][1] - f2Min)/(f2Max - f2Min);
                }
            }

            for (int i = 0; i < abIndividuals.size(); i++) {
                printWriter.print(data[i][0]);
                printWriter.print(",");
                printWriter.print(data[i][1]);
                printWriter.println();
            }
            printWriter.close();
        }catch (IOException e){
            e.printStackTrace();
        }
    }
}

import time
import pandas as pd
import matplotlib.pyplot as plt
 
plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']
#坐标轴负号的处理
plt.rcParams['axes.unicode_minus']=False
# 读取数据

i = 1
while i < 100:
    fws = 'D://demo//data/FWA'+str(i)+'.csv' #文件的路径
    nagas = 'D://demo//data/NSGA'+str(i)+'.csv' 
    fwc = pd.read_csv(fws) #应该是读取这个文件，并且加载到数组里？
    nagac = pd.read_csv(nagas)
# 绘制单条折线图
    plt.scatter(fwc.time, # x轴数据
         fwc.cost, # y轴数据
         s=100,
         marker='*',
         c='g'
         )
    plt.scatter(nagac.time, # x轴数据
        nagac.cost, # y轴数据
        s=100,#应该是大小
        marker='*',#标记符
        c='r'#颜色
    )
 
    #对于X轴，只显示x中各个数对应的刻度值
    plt.xticks(fontsize=8, )  #改变x轴文字值的文字大小
    # 添加y轴标签
    plt.ylabel('花费')
    plt.xlabel('时间')
    # 添加图形标题
    plt.title('第'+str(i)+'代')
    # 显示图形
    plt.show()
    i += 1

最后做出来的图

最后

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