绘制多条loss曲线（y:迭代次数和x:阀值）

#!/usr/bin/python
# -*- coding: UTF-8 -*-
# 文件名：PaintRoc.py
import os
import pylab as pl
import pylab as pl1 #roc曲线
#文件名
file_x = open('C:\\work\\1220\\x\\x.txt')#file_y = open('E:\\model_output_log\\y\\_iter_36000_yhand_output.txt')
dir = 'C:\\work\\1220\\y\\'

#dir = 'D:\\2017111701\\model\\'
x1 = []
object_dic = {}
no_object_dic = {}
fig = pl.figure()
x_number= []
y_number= []
for distance in range(50):y_number.append(distance*0.02)
for distance in range(100):x_number.append(distance* 0.01)
try:# 绘制第一副图像的第一条直线
    for line in file_x:x1.append(float(line[0:9]))for root, dirs, files in os.walk(dir):temp = 'no phone'
        number = 0
        line_color = ['pink','green','red','blue','purple','chocolate','','','','','','','','','','','','','','','','']for file in files:filepath = os.path.join(root, file)file_y = open(filepath)y1 = []for line in file_y:y1.append(float(line[0:9]))# 控制图像颜色line_color和最大正确率计算列表no_object_list、object_list
            temp = filepl.plot(x1, y1, label=temp)  #pl.plot(x1, y1, line_color[number], label=temp)
            #pl.plot([x1[0], y1[0], ], [0, y1[0]], 'k--', linewidth=1.5)
            temp = ""
            number = number + 1
            #line_color = 'ro-'
            file_y.close()finally:file_x.close()#for key in no_object_dic.keys():
#pl.annotate("sdf",0,1)
#pl.plot([0.999,0.999,],[0,0.999],'k--',linewidth=2.5)#绘制曲线
#pl.xticks(x1, rotation=0)   绘制x轴坐标
pl.xticks(x_number, rotation=0)
pl.yticks(y_number, rotation=0)
#pl.margins(0.08)
pl.title('Prediction Second|PTR')  # give plot a title
pl.xlabel('Prediction ')  # make axis labels
pl.ylabel('PTR ')
pl.subplots_adjust(None,None,None, None,
                      0.2, 0.2)
pl.xlim(0.5, 1)  # set axis limits
pl.ylim(0.002, 1)
pl.legend(loc='upper left')  # upper left 标识线条
pl.show()
fig.savefig('E:\\paint\\model_8\\1.jpg')
#pl.plot(x1, y1,'ro', label="point")# 画点
#print("最值====",max(y1))

#pl.show()# show the plot on the screen


#pl1.show()