python画曲线图_曲线1-e

一

import numpy as np
import matplotlib.pyplot as plt
import re
from matplotlib.pyplot import MultipleLocator


input_txt = 'r3.txt'
x = []
y = []

f = open(input_txt)
i=0
for line in f:
    line = line.strip('\n')
    line = line.split(' ')
    line = " ".join(line)
    line = re.compile('[\\x00-\\x08\\x0b-\\x0c\\x0e-\\x1f]').sub(' ', line) 
    line = line.split(' ')
    #if i>10:
    x.append(int(line[0]))
    y.append(float(line[1]))
    i=i+1

f.close

plt.plot(x, y)
y_major_locator=MultipleLocator(10)
ax=plt.gca()
ax.xaxis.set_major_locator(y_major_locator)
plt.margins(0)
#plt.xlim(5,40)
#plt.xticks(np.arange(1, 150))

plt.xlabel("train step")
plt.ylabel("loss")
plt.tick_params(axis="both")
plt.rcParams['figure.figsize'] = (5.0, 5.0)
plt.show()
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二

import matplotlib.pyplot as plt
import re
from matplotlib.pyplot import MultipleLocator


input_txt1 = 'r1.txt'
input_txt2 = 'r2.txt'
input_txt3 = 'r3.txt'
x = []
y1 = []
y2 = []
y3 = []

f = open(input_txt1)
i=0
for line in f:
    line = line.strip('\n')
    line = line.split(' ')
    line = " ".join(line)
    line = re.compile('[\\x00-\\x08\\x0b-\\x0c\\x0e-\\x1f]').sub(' ', line) 
   
    line = line.split(' ')
    if i>5 and i<60 :
        x.append(int(line[0]))
        y1.append(float(line[1]))
    i=i+1

f.close

f = open(input_txt2)
i=0
for line in f:
    line = line.strip('\n')
    line = line.split(' ')
    line = " ".join(line)
    line = re.compile('[\\x00-\\x08\\x0b-\\x0c\\x0e-\\x1f]').sub(' ', line) 
   
    line = line.split(' ')
    if i>5 and i<60 :
        y2.append(float(line[1]))
    i=i+1

f.close

f = open(input_txt3)
i=0
for line in f:
    line = line.strip('\n')
    line = line.split(' ')
    line = " ".join(line)
    line = re.compile('[\\x00-\\x08\\x0b-\\x0c\\x0e-\\x1f]').sub(' ', line) 
   
    line = line.split(' ')
    if i>5 and i<60 :
        y3.append(float(line[1]))
    i=i+1

f.close
plt.rcParams['figure.figsize'] = (10.0, 5.0)
plt.plot(x,y1,'b-.',label='Dense-YOLOv4')
plt.plot(x,y2,'.b',label='YOLOv4')
plt.plot(x,y3,'',label='SEDense-YOLOv4')

plt.xlabel("train step")
plt.ylabel("loss")
plt.show()
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