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.Axis.add_callback() Function
The Axis.add_callback() function in axis module of matplotlib library is used to add a callback function that will be called whenever one of the Artist’s properties changes.
Syntax: Artist.add_callback(self, func)
Parameters: This method accepts the following parameters.
- func: This parameter is the callback function.
Return value: This method returns the observer id associated with the callback.
Below examples illustrate the matplotlib.axis.Axis.add_callback() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis import matplotlib.pyplot as plt import numpy as np import time def update(): plt.get_current_fig_manager()\ .canvas.figure.patch.\ set_facecolor(str(np.random.random())) plt.draw() print("Draw at time :", time.time()) def start_animation(): timer = fig.canvas.new_timer(interval = 200) timer.add_callback(update) timer.start() fig, ax = plt.subplots() start_animation() ax.set_title('matplotlib.axis.Axis.add_callback() \ function Example', fontweight ="bold") plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Axis from random import randint, choice import time import matplotlib.pyplot as plt import matplotlib.patches as mpatches back_color = "black"colors = ['red', 'green', 'blue', 'purple'] width, height = 4, 4 fig, ax = plt.subplots() ax.set(xlim =[0, width], ylim =[0, height]) fig.canvas.draw() def update(): x = randint(0, width - 1) y = randint(0, height - 1) arti = mpatches.Rectangle( (x, y), 1, 1, facecolor = choice(colors), edgecolor = back_color ) ax.add_artist(arti) ax.draw_artist(arti) fig.canvas.blit(ax.bbox) print("Draw at time :", time.time()) timer = fig.canvas.new_timer(interval = 1) timer.add_callback(update) timer.start() ax.set_title('matplotlib.axis.Axis.add_callback() \ function Example', fontweight ="bold") plt.show() |
Output:
Draw at time : 1591263025.354224 Draw at time : 1591263025.4612164 Draw at time : 1591263025.6232233 Draw at time : 1591263025.748225 Draw at time : 1591263025.8842134 ...... so on...
