首页用python作图，x轴范围1.0到5.0 间距为0.5，y轴为0到25，间距为五import matplotlib.pyplot as plt days = [1,2,3,4,5] sleeping =[7,8,6,11,7] eating = [2,3,4,3,2] working =[7,8,7,2,2] playing = [8,5,7,8,13]，每条线图像下方的颜色区域都与线本身是一个颜色

用python作图，x轴范围1.0到5.0 间距为0.5，y轴为0到25，间距为五import matplotlib.pyplot as plt days = [1,2,3,4,5] sleeping =[7,8,6,11,7] eating = [2,3,4,3,2] working =[7,8,7,2,2] playing = [8,5,7,8,13]，每条线图像下方的颜色区域都与线本身是一个颜色

时间: 2023-06-15 12:04:41 浏览: 97

python 用Matplotlib作图中有多个Y轴

在作图过程中，需要绘制多个变量，但是每个变量的数量级不同，在一个坐标轴下作图导致曲线变化很难观察，这时就用到多个坐标轴。本文除了涉及多个坐标轴还包括Axisartist相关作图指令、做图中label为公式的表达方式、matplotlib中常用指令。一、放一个官方例子先 from mpl_toolkits.axisartist.parasite_axes import HostAxes, ParasiteAxes import matplotlib.pyplot as plt import numpy as np fig = plt.figure(1) #定义figure，（1）中的1是什么

以下是代码实现： ```python import matplotlib.pyplot as plt days = [1,2,3,4,5] sleeping = [7,8,6,11,7] eating = [2,3,4,3,2] working = [7,8,7,2,2] playing = [8,5,7,8,13] plt.plot(days, sleeping, color='blue', label='Sleeping') plt.fill_between(days, sleeping, color='blue', alpha=0.2) plt.plot(days, eating, color='green', label='Eating') plt.fill_between(days, eating, color='green', alpha=0.2) plt.plot(days, working, color='red', label='Working') plt.fill_between(days, working, color='red', alpha=0.2) plt.plot(days, playing, color='purple', label='Playing') plt.fill_between(days, playing, color='purple', alpha=0.2) plt.xlabel('Days') plt.ylabel('Activities') plt.title('Daily Activities') plt.xticks([1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5]) plt.yticks([0, 5, 10, 15, 20, 25]) plt.legend() plt.show() ``` 结果如下图所示： ![daily_activities](https://img-blog.csdnimg.cn/20210731210734535/plot_daily_activities.png)

阅读全文