有一张图片显示了所有标记的名称和描述，希望对您有所帮助。

import matplotlib.pylab as plt

markers = ['.',',','o','v','^','<','>','1','2','3','4','8','s','p','P','*','h','H','+','x','X','D','d','|','_']
descriptions = ['point', 'pixel', 'circle', 'triangle_down', 'triangle_up','triangle_left',
                'triangle_right', 'tri_down', 'tri_up', 'tri_left', 'tri_right', 'octagon',
                'square', 'pentagon', 'plus (filled)','star', 'hexagon1', 'hexagon2', 'plus',
                'x', 'x (filled)','diamond', 'thin_diamond', 'vline', 'hline']
x=[]
y=[]

for i in range(5):
    for j in range(5):
        x.append(i)
        y.append(j)
        
plt.figure(figsize=(8, 8))

for i,j,m,l in zip(x,y,markers,descriptions):
    plt.scatter(i,j,marker=m)
    plt.text(i-0.15,j+0.15,s=m+' : '+l)
    
plt.axis([-0.1,4.8,-0.1,4.5])

plt.axis('off')
plt.tight_layout()
plt.show() 

在绘图调用中指定关键字args linestyle和/或marker。

例如，使用虚线和蓝色圆圈标记:

plt.plot(range(10), linestyle='--', marker='o', color='b', label='line with marker')
plt.legend()

一个快捷方式调用相同的东西:

plt.plot(range(10), '--bo', label='line with marker')
plt.legend()

下面是可能的线条和标记样式的列表:

================    ===============================
character           description
================    ===============================
   -                solid line style
   --               dashed line style
   -.               dash-dot line style
   :                dotted line style
   .                point marker
   ,                pixel marker
   o                circle marker
   v                triangle_down marker
   ^                triangle_up marker
   <                triangle_left marker
   >                triangle_right marker
   1                tri_down marker
   2                tri_up marker
   3                tri_left marker
   4                tri_right marker
   s                square marker
   p                pentagon marker
   *                star marker
   h                hexagon1 marker
   H                hexagon2 marker
   +                plus marker
   x                x marker
   D                diamond marker
   d                thin_diamond marker
   |                vline marker
   _                hline marker
================    ===============================

编辑:有一个标记点的任意子集的例子，在评论中要求:

import numpy as np
import matplotlib.pyplot as plt

xs = np.linspace(-np.pi, np.pi, 30)
ys = np.sin(xs)
markers_on = [12, 17, 18, 19]
plt.plot(xs, ys, '-gD', markevery=markers_on, label='line with select markers')
plt.legend()
plt.show()

最后一个使用markevery kwarg的例子从1.4+开始就可能了，因为这个特性分支的合并。如果您使用旧版本的matplotlib，仍然可以通过在线形图上叠加散点图来获得结果。有关详细信息，请参阅编辑历史。

作为将来的参考- plot()返回的Line2D艺术家也有一个set_markevery()方法，它允许你只在某些点上设置标记-请参阅https://matplotlib.org/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_markevery

这里有一个例子:

import numpy as np
import matplotlib.pyplot as plt

def grafica_seno_coseno():
    x = np.arange(-4,2*np.pi, 0.3)
    y = 2*np.sin(x)
    y2 = 3*np.cos(x)
    plt.plot(x, y,  '-gD')
    plt.plot(x, y2, '-rD')
    for xitem,yitem in np.nditer([x,y]):
        etiqueta = "{:.1f}".format(xitem)
        plt.annotate(etiqueta, (xitem,yitem), textcoords="offset points",xytext=(0,10),ha="center")
    for xitem,y2item in np.nditer([x,y2]):
        etiqueta2 = "{:.1f}".format(xitem)
        plt.annotate(etiqueta2, (xitem,y2item), textcoords="offset points",xytext=(0,10),ha="center")
    plt.grid(True)
    plt.show()
    
    
grafica_seno_coseno()

有一张图片显示了所有标记的名称和描述，希望对您有所帮助。

import matplotlib.pylab as plt

markers = ['.',',','o','v','^','<','>','1','2','3','4','8','s','p','P','*','h','H','+','x','X','D','d','|','_']
descriptions = ['point', 'pixel', 'circle', 'triangle_down', 'triangle_up','triangle_left',
                'triangle_right', 'tri_down', 'tri_up', 'tri_left', 'tri_right', 'octagon',
                'square', 'pentagon', 'plus (filled)','star', 'hexagon1', 'hexagon2', 'plus',
                'x', 'x (filled)','diamond', 'thin_diamond', 'vline', 'hline']
x=[]
y=[]

for i in range(5):
    for j in range(5):
        x.append(i)
        y.append(j)
        
plt.figure(figsize=(8, 8))

for i,j,m,l in zip(x,y,markers,descriptions):
    plt.scatter(i,j,marker=m)
    plt.text(i-0.15,j+0.15,s=m+' : '+l)
    
plt.axis([-0.1,4.8,-0.1,4.5])

plt.axis('off')
plt.tight_layout()
plt.show() 

一个简单的技巧来改变一个特定的点标记形状，大小…首先将其与所有其他数据一起绘制，然后仅与该点(如果想更改多个点的样式，则为该点集)绘制另一个图。 假设我们想要改变第二个点的标记形状:

x = [1,2,3,4,5]
y = [2,1,3,6,7]

plt.plot(x, y, "-o")
x0 = [2]
y0 = [1]
plt.plot(x0, y0, "s")

plt.show()

结果是: 多标记图