plt.subplot(grid[i]) plt.plot(x, y, 'o', label=r'$y = sin(x)^2+ cos(x)$', linestyle=linesstyles[i], ms=7, markevery=mark[i], color=color[i]) plt.axis('equal') plt.xlabel('x(rad)') plt.ylabel('y(rad)') plt.legend() plt.annotate("linestyle:'" +str(linesstyles[i...
importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[2,3,5,7,11]plt.plot(x,y,linestyle=':',label='dotted line')plt.legend()plt.show() Python Copy Output: 4. 点划线样式 点划线样式是点线和虚线的结合。 importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[2,3,5,7,11]plt.plot(x,y,li...
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(12,8))line_styles=['-','--',':','-.','']labels=['Solid','Dashed','Dotted','Dash-dot','None']fori,styleinenumerate(line_styles):plt.plot(x,y+i,linestyle=style,label=f'{labels[i]}- how2matplotlib.com')plt.title(...
plot(*args, scalex=True, scaley=True, data=None, **kwargs) Plot y versus x as lines and/or markers. Call signatures:: plot([x], y, [fmt], data=None, **kwargs) plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) The coordinates of the points or line nodes ar...
lines += ax.plot(x, np.sin(x - i * np.pi / 2), styles[i], color='black') ax.axis('equal') # 设置第一个图例要显示的线条和标签 ax.legend(lines[:2], ['line A','line B'], loc='upper right', frameon=False,fontsize=15) ...
Markers and line styles 上面画的线都是一样的,其实我们可以画出各种不同的线 Marker就是指形成线的那些点 plot() supports an optional third argument that contains a format string for each pair of X, Y arguments in the form of: plt.plot(X, Y, '<format>', ...) ...
plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) 可选参数[fmt] 是一个字符串来定义图的基本属性如:颜色(color),点型(marker),线型(linestyle), 具体形式 fmt = '[color][marker][line]' fmt接收的是每个属性的单个字母缩写,例如: ...
The line style can be written in a shorter syntax:linestyle can be written as ls.dotted can be written as :.dashed can be written as --.Example Shorter syntax: plt.plot(ypoints, ls = ':') Result: Try it Yourself » Line Styles...
You can change the line style in a line chart in python using matplotlib. You need to specify the parameterlinestylein theplot()function of matplotlib. There are several line styles available in python. You can choose any of them. You can either specify the name of the line style or its...
plt.plot(x, y) # 3、图形展示 plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 效果图如下: 利用matplotlib绘制一周天气变化折线图 import matplotlib.pyplot as plt import numpy as np ...