Python中的 Matplotlib.axis.Axis.set_url()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.set_url()函数
matplotlib 库的轴模块中的Axis.set_url()函数用于设置艺术家的 url。
Syntax: Axis.set_url(self, url)
Parameters: This method accepts the following parameters.
- url: This parameter is the string containing the url.
Return value: This method does not return any value.
下面的示例说明了 matplotlib.axis 中的 matplotlib.axis.Axis.set_url()函数:
示例 1:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
s = ax.scatter([1, 2, 3], [4, 5, 6])
Axis.set_url(s, 'http://www.google.com')
fig.canvas.print_figure('geeks1.svg')
fig.suptitle('matplotlib.axis.Axis.set_url() \
function Example\n', fontweight ="bold")
plt.show()
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
im = ax.imshow(Z,
interpolation ='bilinear',
cmap = "bone",
origin ='lower',
extent =[-3, 3, -3, 3])
Axis.set_url(im, 'http://www.google.com')
fig.canvas.print_figure('geeks2.svg')
fig.suptitle('matplotlib.axis.Axis.set_url() \
function Example\n', fontweight ="bold")
plt.show()
输出:
示例 2:
Python3
# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np
import matplotlib.cm as cm
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
delta = 0.025
x = y = np.arange(-3.0, 3.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = np.exp(-X**2 - Y**2)
Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2)
Z = (Z1 - Z2) * 2
im = ax.imshow(Z,
interpolation ='bilinear',
cmap = "bone",
origin ='lower',
extent =[-3, 3, -3, 3])
Axis.set_url(im, 'http://www.google.com')
fig.canvas.print_figure('geeks2.svg')
fig.suptitle('matplotlib.axis.Axis.set_url() \
function Example\n', fontweight ="bold")
plt.show()
输出: