Legend de la trama de dispersión de Python
# credit to the Stack Overflow user in the source link
import matplotlib.pyplot as plt
from numpy.random import random
colors = ['b', 'c', 'y', 'm', 'r']
lo = plt.scatter(random(10), random(10), marker='x', color=colors[0])
ll = plt.scatter(random(10), random(10), marker='o', color=colors[0])
l = plt.scatter(random(10), random(10), marker='o', color=colors[1])
a = plt.scatter(random(10), random(10), marker='o', color=colors[2])
h = plt.scatter(random(10), random(10), marker='o', color=colors[3])
hh = plt.scatter(random(10), random(10), marker='o', color=colors[4])
ho = plt.scatter(random(10), random(10), marker='x', color=colors[4])
plt.legend((lo, ll, l, a, h, hh, ho),
('Low Outlier', 'LoLo', 'Lo', 'Average', 'Hi', 'HiHi', 'High Outlier'),
scatterpoints=1,
loc='lower left',
ncol=3,
fontsize=8)
plt.show()
wolf-like_hunter