importmatplotlib.pyplotaspltimportnumpyasnp np.random.seed(42)data=np.random.randn(100)mean=np.mean(data)fig,ax=plt.subplots()ax.plot(data,label='Data')ax.axhline(y=mean,color='r',linestyle='--',label='Mean')ax.legend()ax.set_title('Data with Mean Line - how2matplotlib.com')plt...
importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.axhline(y=0.2,linestyle='-',color='r')# 实线ax.axhline(y=0.4,linestyle='--',color='g')# 虚线ax.axhline(y=0.6,linestyle=':',color='b')# 点线ax.axhline(y=0.8,linestyle='-.',color='m')# 点划线ax.set_title('Different ...
步骤1:导入所需库 首先,你需要导入matplotlib库,用于绘制图形。 importmatplotlib.pyplotasplt 1. 步骤2:创建数据 接下来,创建x和y的数据,以供绘制图形。 x=[1,2,3,4,5]y=[2,3,5,7,11] 1. 2. 步骤3:绘制图形 使用plt.plot()函数绘制折线图。 plt.plot(x,y) 1. 步骤4:添加y轴直线 添加y轴上...
Matplotlib is a powerful Python library for creating static, animated, and interactive visualizations. Line charts are one of the most common types of charts used to display data trends over time. This tutorial covers how to create various types of line charts using Matplotlib. Line charts are i...
结果1 题目设导入Matplotlib.pyplot模块时的别名为plt,则语句line,=plt.plot()的作用是()。 A. line是Line2D对象的列表 B. line为生成的第1个线条对象 C. 该语句会出错 D. plot方法返回一个线条对象 相关知识点: 试题来源: 解析 B 反馈 收藏
Plot with a 20.5pt wide line: importmatplotlib.pyplotasplt importnumpyasnp ypoints = np.array([3,8,1,10]) plt.plot(ypoints, linewidth ='20.5') plt.show() Result: Try it Yourself » Multiple Lines You can plot as many lines as you like by simply adding moreplt.plot()functions: ...
Matplotlib是一个Python绘图库,用于创建各种静态、动态和交互式的图形。在Matplotlib中,有几种方法可以绘制对角线,如plot_diagonal和diagonal_plot。这些方法可以帮助我们更好地展示数据的关系和分布。 使用plot_diagonal方法绘制对角线 plot_diagonal方法是直接使用函数plot(),该函数可以在数组或序列上绘制对角线。例如,我...
pyplot.plot官方文档我用的是matplotlib3.3.4,官方把linestyle替换成了ls,linewidth替换成了lw 就ok了 示例代码如下: from matplotlib import pyplot as plt import matplotlib x = range(2, 28, 2) # x = [2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26] ...
15. yticks 16. legend 17. grid 18. xlim 19. ylim 20. text 21. annotate 22. savefig 23. show 24. figure 25. tight_layout 26. subplots_adjust 27. axhline 28. axvline 29. errorbar 30. boxplot #Matplotlib#数据可视化#python第三方库...
Plot a line:By usingpyplot()method with special parameter linestyled as dashed. Display:At last display the plot. The syntax to create a matplotlib dashed line chart is as below: matplotlib.pyplt.plot(x, y, linestyle='dashed') The above-used parameters are outlined as below: ...