Matplotlib是Python中的一个库,它是数字的-NumPy库的数学扩展。它是Python中令人惊叹的可视化库,用于数组的2D图,并用于与更广泛的SciPy堆栈配合使用。
Matplotlib.axis.Axis.get_picker()函数
matplotlib库的axis模块中的Axis.get_picker()函数用于定义艺术家的挑选行为。
用法: Axis.get_picker(self)
参数:此方法不接受任何参数。
返回值:此方法返回艺术家的挑选行为。
以下示例说明了matplotlib.axis中的matplotlib.axis.Axis.get_picker()函数:
范例1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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(Axis.get_picker(ax)),
fontweight = "bold",
fontsize = 18)
fig.suptitle("""matplotlib.axis.Axis.get_picker()
function Example\n""", fontweight ="bold")
plt.show()
输出:
范例2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
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(Axis.get_picker(ax)),
fontweight = "bold",
fontsize = 18)
fig.suptitle("""matplotlib.axis.Axis.get_picker()
function Example\n""", fontweight ="bold")
plt.show()
输出:
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注:本文由纯净天空筛选整理自SHUBHAMSINGH10大神的英文原创作品 Matplotlib.axis.Axis.get_picker() function 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。