Matplotlib marcatore custom/simbolo

Question

Quindi c'è questa guida: http://matplotlib.org/examples/pylab_examples/scatter_symbol.html

# http://matplotlib.org/examples/pylab_examples/scatter_symbol.html 
from matplotlib import pyplot as plt 
import numpy as np 
import matplotlib 

x = np.arange(0.0, 50.0, 2.0) 
y = x ** 1.3 + np.random.rand(*x.shape) * 30.0 
s = np.random.rand(*x.shape) * 800 + 500 

plt.scatter(x, y, s, c="g", alpha=0.5, marker=r'$\clubsuit$', 
      label="Luck") 
plt.xlabel("Leprechauns") 
plt.ylabel("Gold") 
plt.legend(loc=2) 
plt.show() 

Ma cosa succede se siete come me e non si desidera utilizzare un pennarello Clubsuit ...

Come fai il tuo pennarello _________?

UPDATE

Quello che mi piace di questo speciale tipo di marcatore è che è facile da regolare con sintassi semplice matplotlib:

from matplotlib import pyplot as plt 
import numpy as np 
import matplotlib 

x = np.arange(0.0, 50.0, 2.0) 
y = x ** 1.3 + np.random.rand(*x.shape) * 30.0 
s = np.random.rand(*x.shape) * 800 + 500 

plt.plot(x, y, "ro", alpha=0.5, marker=r'$\clubsuit$', markersize=22) 
plt.xlabel("Leprechauns") 
plt.ylabel("Gold") 
plt.show() 

Answer 1

Così ha scoperto che era basta usare i simboli matematici e non fare riferimento ad alcun marcatore speciale basato sul vettore memorizzato nel modulo matplotlib ...

from matplotlib import pyplot as plt 
import numpy as np 
from numpy.random import randint 
import matplotlib 

x = np.arange(0.0, 100.0, 2.0) 
y = x ** 1.3 + np.random.rand(*x.shape) * 30.0 
s = np.random.rand(*x.shape) * 800 + 500 

markers = ['\\alpha', '\\beta', '\gamma', '\sigma','\infty', \ 
      '\spadesuit', '\heartsuit', '\diamondsuit', '\clubsuit', \ 
      '\\bigodot', '\\bigotimes', '\\bigoplus', '\imath', '\\bowtie', \ 
      '\\bigtriangleup', '\\bigtriangledown', '\oslash' \ 
      '\ast', '\\times', '\circ', '\\bullet', '\star', '+', \ 
      '\Theta', '\Xi', '\Phi', \ 
      '\$', '\#', '\%', '\S'] 

def getRandomMarker(): 
    return "$"+markers[randint(0,len(markers),1)]+"$" 

def getMarker(i): 
    # Use modulus in order not to have the index exceeding the lenght of the list (markers) 
    return "$"+markers[i % len(markers)]+"$" 

for i, mi in enumerate(markers): 
    plt.plot(x[i], y[i], "b", alpha=0.5, marker=getRandomMarker(), markersize=randint(16,26,1)) 
    plt.plot(x[i], y[i]+50, "m", alpha=0.5, marker=getMarker(i), markersize=randint(16,26,1)) 
    # Let's see if their "center" is located where we expect them to be... 
    plt.plot(x[i], y[i]+100, "y", alpha=0.5, marker=getMarker(i), markersize=24) 
    plt.plot(x[i], y[i]+100, "k+", markersize=12, markeredgewidth=2) 

plt.xlabel("x-axis") 
plt.ylabel("y-axis") 
plt.xlim(-5, plt.xlim()[1]+5) 
plt.ylim(0, plt.ylim()[1]*1.1) 
plt.gcf().set_size_inches(12,6) 
plt.show()