Python中的 Matplotlib.axis.Axis.get_pickradius()函数
Matplotlib是Python中的一个库,它是 NumPy 库的数值数学扩展。它是Python中用于二维数组图的惊人可视化库,用于处理更广泛的 SciPy 堆栈。
Matplotlib.axis.Axis.get_pickradius()函数
matplotlib库的axis模块中的axis.get_pickradius()函数用于获取picker使用的轴的深度
Syntax: Axis.get_pickradius(self)
Parameters: This method does not accepts any parameters.
Return value: This method returns the depth of the axis used by the picker.
下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.get_pickradius()函数:
示例 1:
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-')
ax.grid()
print("Value return by get_pickradius() :",
ax.yaxis.get_pickradius())
fig.suptitle("""matplotlib.axis.Axis.get_pickradius()
function Example\n""", fontweight ="bold")
plt.show()
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(27, size = 100)
amount = np.random.poisson(7, size = 100)
ranking = np.random.normal(size = 100)
price = np.random.uniform(1, 7, size = 100)
fig, ax = plt.subplots()
scatter = ax.scatter(volume * 2,
amount**3,
c = ranking,
s = price**3,
vmin = -3,
vmax = 3,
cmap ="Spectral")
ax.yaxis.set_pickradius(25)
ax.grid()
print("Value return by get_pickradius() :",
ax.yaxis.get_pickradius())
fig.suptitle("""matplotlib.axis.Axis.get_pickradius()
function Example\n""", fontweight ="bold")
plt.show()
输出:
Value return by get_pickradius() : 15
示例 2:
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(27, size = 100)
amount = np.random.poisson(7, size = 100)
ranking = np.random.normal(size = 100)
price = np.random.uniform(1, 7, size = 100)
fig, ax = plt.subplots()
scatter = ax.scatter(volume * 2,
amount**3,
c = ranking,
s = price**3,
vmin = -3,
vmax = 3,
cmap ="Spectral")
ax.yaxis.set_pickradius(25)
ax.grid()
print("Value return by get_pickradius() :",
ax.yaxis.get_pickradius())
fig.suptitle("""matplotlib.axis.Axis.get_pickradius()
function Example\n""", fontweight ="bold")
plt.show()
输出:
Value return by get_pickradius() : 25