weixin_39961636 于 2020-11-20 23:29:54 发布
这篇博客展示了如何使用Python的matplotlib库将四条曲线（DT, M1, M2, M3, M4）绘制到一张图表上。通过读取不同文件的数据并设置颜色、标签和线宽，博主详细解释了如何设置坐标轴范围、刻度间距和图例位置，最终保存为PNG图像。" 80390367,7487975,NOI 2.1 枚举算法解析：鸡兔同笼问题,"['算法', '信息学奥赛', 'C++', '数学'] 如下所示：
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 07 09:17:40 2018
@author: yjp
"""
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import MultipleLocator, FormatStrFormatter
y0 = []
y1 = []
y2 = []
y3 = []
y4 = []
f = open("y0.txt")
lines = f.readlines()
for li in lines:
y0.append(li)
f = open("y1.txt")
lines = f.readlines()
for li in lines:
y1.append(li)
f = open("y2.txt")
lines = f.readlines()
for li in lines:
y2.append(li)
f = open("y3.txt")
lines = f.readlines()
for li in lines:
y3.append(li)
f = open("y4.txt")
lines = f.readlines()
for li in lines:
y4.appen
