python——读取txt文本数据并可视化

最近用于对比结果，使用到了python的基本操作，之前也有了解但是与Ｍ相比难免有些区别

txt文本数据如下

0.9453125 0.9640625 0.671875 0.55625 0.475
0.921875 0.965625 0.7828125 0.5046875 0.6421875
0.9390625 0.946875 0.9328125 0.496875 0.5390625
0.9640625 0.9671875 0.89375 0.509375 0.4890625
0.8984375 0.9640625 0.875 0.5015625 0.428125

import matplotlib.pyplot as plt
import numpy as np

winSizes = [1,5,10,20,30]; #1,5,10,20,30
learning_rates = [0.001,0.01,0.1,1,5] #0.0001,0.1,1,5
data = []

filename = './winS-lr_hideSize=5.txt'

def loadData(filename):
    infile = open(filename,'r')
    ret = np.zeros([5,5])
    cnt = 0
    for line in infile:
        dataline = [float(s) for s in line.split()]
        for i in range(5):
            ret[cnt,i] = dataline[i]
        cnt = cnt+1
    return ret
    
ret = loadData(filename)
for i in range(5):
    plt.plot(learning_rates,ret[i,:])
plt.show()    

方法二：（补充2019/03/28）

    with open('./highway_gps.csv', 'rb') as f:
        reader = csv.reader(f)
        for row in reader:
            contents = row[0]
            x, y, s, dx, dy = contents.split()
            gps_x.append(float(x))
            gps_y.append(float(y))
            gps_s.append(float(s))
            gps_dx.append(float(dx))
            gps_dy.append(float(dy))