importmatplotlib.pyplotaspltimportmatplotlib.datesasmdatesimportdatetimeimportnumpyasnp# 创建示例数据dates=[datetime.datetime(2023,1,1)+datetime.timedelta(days=i)foriinrange(365)]values=np.random.randn(365).cumsum()# 创建图表plt.figure(figsize=(12,6))plt.plot(dates,values)# 添加多个自定义样式的...
This example shows how to plot multiple lines in a single chart. multiple_lines.py import matplotlib.pyplot as plt # Data x = [1, 2, 3, 4, 5] y1 = [2, 3, 5, 7, 11] y2 = [1, 4, 6, 8, 10] # Create multiple lines plt.plot(x, y1, label="Line 1") plt.plot(x, y...
import matplotlib.pyplot as plt import numpy as np ypoints = np.array([3, 8, 1, 10]) plt.plot(ypoints, linestyle = 'dotted') plt.show() Result: Try it Yourself » Example Use a dashed line: plt.plot(ypoints, linestyle = 'dashed') Result: Try it Yourself » Shorter...
使用diagonal_plot方法绘制对角线 diagonal_plot方法会生成一个包含对角线的图表。例如: import matplotlib.pyplot as plt x = np.linspace(-5, 5, 10) y = x / 2 fig, ax = plt.subplots() ax.plot(x, y, linestyle='--', color='r') ax.set_title('Diagonal Line Example') plt.show() 在这...
在matplotlib中仅绘制带边框的矩形 capstyle='round'ax.plotsolid_capstyle='round', while forit is justcapstyle='round')` import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.vlines(x=0.6, ymin=0.2, ymax=0.8, linewidth=10, capstyle='round') ...
Let’s understand the concept with the help of an example as below: # Import librariesimport matplotlib.pyplot as plt# Define Axes x_points = [1.5, 2.6, 3.5, 4, 9] y_points = [3.25, 6.3, 4.23, 1.35, 3]# Plot a graphplt.plot(x_points, y_points, linestyle = 'dashed')# Display...
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 #Python 入门#Matplotlib#数据可视化#python第三方库...
Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。 Pyplot是Matplotlib模块的基于状态的接口,该模块提供了MATLAB-like接口。 matplotlib库的pyplot模块中的axhline()函数用于在轴添加一条水平线。 用法: matplotlib.pyplot.axhline(y=0, xmin=0, xmax=1, **kwargs)参數:此方法接受以下描述的参数: ...
()ax.plot(x,y)ax.axvline(x=np.pi,color='r',linestyle='--',label='π')ax.axvline(x=2*np.pi,color='g',linestyle='--',label='2π')ax.axvline(x=3*np.pi,color='b',linestyle='--',label='3π')ax.legend()ax.set_title('How2matplotlib.com - Multiple axvline Example')...
现在,我们可以使用 Matplotlib 创建一个折线图: plt.plot(x,y,label='Sine Wave')# 绘制x和y的折线图,并添加标签plt.title('Sine Wave Example')# 添加标题plt.xlabel('X-axis')# 添加x轴标签plt.ylabel('Y-axis')# 添加y轴标签plt.legend()# 添加图例 ...