x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(8,6))plt.plot(x,y,linestyle='dotted',linewidth=2,color='blue',label='how2matplotlib.com')plt.title('Dotted Line Example')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.legend()plt.grid(True)plt.show() Python Copy Output: ...
3. '-.' dash-dot line style 4. ':' dotted line style 三、数据点形状 1. '.' point marker 2. 'o' circle marker 3. 'v' triangle_down marker 4. '^' triangle_down marker 5. '>' triangle_left marker 6...
plot方法的关键字参数linestyle(或ls)用来设置线的样式。 如plt.plot(x, y1, linestyle=':') 或 plt.plot(x, y1, ls=':') 可取值为: - 实线(solid) -- 短线(dashed) -. 短点相间线(dashdot) : 虚点线(dotted) '', ' ', None 4.线条大小 设置plot方法的关键字参数linewidth(或lw)可以改变线...
plot([x], y, [fmt], [x2], y2, [fmt2], ..., **kwargs) #!/usr/bin/env python# -*- coding: utf-8 -*-importnumpyasnpimportmatplotlib.pyplotasplt#数学图形显示theta=np.arange(0,2*np.pi,0.1)x1=3;y1=2r1=x1*np.cos(theta)+y1*np.sin(theta)x2=3;y2=2r2=x2*np.sin(the...
plt.plot(x, y, linestyle='--', label='Dashed Line')```虚线常用于表示辅助线或参考线,用来强调某些重要的数据点或趋势。三、点线(Dotted Line)点线是由一系列短点组成的线条,它们之间没有连接线段。在matplotlib中,我们可以使用':'作为linestyle参数的取值来绘制点线,例如:```plt.plot(x, y, ...
plt.plot(ypoints, linestyle = 'dotted') plt.show() 1. 2. 3. 4. 5. 6. 7. 显示结果如下: 使用简写: 实例 import matplotlib.pyplot as plt import numpy as np ypoints = np.array([6, 2, 13, 10]) plt.plot(ypoints, ls = '-.') ...
``':'`` dotted line style 点线 === === 样例1 1 2 3 4 函数原型:matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) >>> plot('xlabel', 'ylabel', data=obj) 解释:All indexable objects are supported. This could e.g. be a dict, a pandas.DataFame...
plt.plot([4.5,2,3],marker='o') [<matplotlib.lines.Line2D at 0x7f6f0350d438>] 2个参数 自动解析位置参数的原则 (x,y)形式 # x/y 为序列plt.plot([2,1,3],[0.5,2,2.5],marker='o') [<matplotlib.lines.Line2D at 0x7f6f034735c0...
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(...
import matplotlib.pyplot as plt x = [1, 2, 3, 4] y = [12, 11, 14, 13] # 显示中文 plt.rcParams["font.family"] = ["SimHei"] plt.plot(x, y) plt.grid(axis="both", linestyle="dashed", color="black") plt.show() G.参考线plt.axhline(y=值,color=值,linestyle=值,linewidth...