Matplotlib是Python中的一个库，它是数字的-NumPy库的数学扩展。 Artist类包含用于呈现到FigureCanvas中的对象的Abstract基类。图中所有可见元素都是Artist的子类。
matplotlib.artist.Artist.get_picker()方法
matplotlib库的艺术家模块中的get_picker()方法用于定义艺术家的挑选行为。
用法：Artist.get_picker(self)
参数：此方法不接受任何参数。
返回：此方法是艺术家的挑选行为。
以下示例说明了matplotlib中的matplotlib.artist.Artist.get_picker()函数：
范例1：
# Implementation of matplotlib function
from matplotlib.artist import Artist
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(19680801)
volume = np.random.rayleigh(7, size = 40)
amount = np.random.poisson(7, size = 40)
ranking = np.random.normal(size = 40)
price = np.random.uniform(1, 7, size = 40)
fig, ax = plt.subplots()
scatter = ax.scatter(volume,
amount,
c = ranking,
s = price * 3,
vmin = -3,
vmax = 3,
cmap = "Spectral")
legend1 = ax.legend(*scatter.legend_elements(num = 5),
loc = "upper left",
title = "Ranking")
ax.add_artist(legend1)
ax.text(8, 8, "Value return:"
+ str(Artist.get_picker(ax)),
fontweight = "bold",
fontsize = 18)
fig.suptitle('matplotlib.artist.Artist.get_picker() \
function Example', fontweight ="bold")
plt.show()输出：
范例2：
# Implementation of matplotlib function
from matplotlib.artist import Artist
import numpy as np
import matplotlib.pyplot as plt
X = np.random.rand(10, 200)
xs = np.mean(X, axis = 1)
ys = np.std(X, axis = 1)
fig = plt.figure()
ax = fig.add_subplot(111)
line, = ax.plot(xs, ys, 'go-', picker = 5)
ax.set_picker(True)
ax.text(0.48, 0.3, "Value return:"
+ str(Artist.get_picker(ax)),
fontweight = "bold",
fontsize = 18)
fig.suptitle('matplotlib.artist.Artist.get_picker() \
function Example', fontweight ="bold")
plt.show()输出：
注：本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.artist.Artist.get_picker() in Python。非经特殊声明，原始代码版权归原作者所有，本译文未经允许或授权，请勿转载或复制。