Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.
Matplotlib.axis.Tick.set_url() Function
The Tick.set_url() function in axis module of matplotlib library is used to set the url for the artist.
Syntax: Tick.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.
Below examples illustrate the matplotlib.axis.Tick.set_url() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np import matplotlib.pyplot as plt fig, ax = plt.subplots() s = ax.scatter([1, 10, 3], [4, 5, 6]) fig.canvas.print_figure('neveropen1.svg') fig.suptitle('matplotlib.axis.Tick.set_url() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import numpy as np 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]) fig.canvas.print_figure('neveropen2.svg') fig.suptitle('matplotlib.axis.Tick.set_url() \ function Example', fontweight ="bold") plt.show() |
Output:
