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.remove_callback() Function
The Tick.remove_callback() function in axis module of matplotlib library is used to remove a callback based on its observer id.
Syntax: Tick.remove_callback(self, oid)
Parameters: This method accepts the following parameters.
- oid: This parameter is the observer id.
Return value: This method does not return any value.
Below examples illustrate the matplotlib.axis.Tick.remove_callback() function in matplotlib.axis:
Example 1:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick import matplotlib.pyplot as plt import numpy as np import time def update(): global timer plt.get_current_fig_manager().canvas.figure.patch.set_facecolor( str (np.random.random())) plt.draw() def start_animation(): global it timer = fig.canvas.new_timer(interval = 50 ) w = timer.add_callback(update) timer.start() timer.remove_callback(w) it = 1 fig = plt.figure() start_animation() fig.suptitle('matplotlib.axis.Tick.remove_callback() \ function Example', fontweight = "bold" ) plt.show() |
Output:
Example 2:
Python3
# Implementation of matplotlib function from matplotlib.axis import Tick from random import randint, choice import time import matplotlib.pyplot as plt import matplotlib.patches as patches back_color = "black" colors = [ 'red' , 'green' , 'blue' , 'purple' , "yellow" , "pink" ] width, height = 4 , 4 fig = plt.figure() plt.xlim([ 0 , width]) plt.ylim([ 0 , height]) fig.canvas.draw() it = 1 def update(): global it x = randint( 0 , width - 1 ) y = randint( 0 , height - 1 ) arti = patches.Rectangle( (x, y), 1 , 1 , facecolor = choice(colors), edgecolor = back_color ) fig.add_artist(arti) fig.draw_artist(arti) fig.canvas.blit(fig.bbox) if it > 100 : timer.remove_callback(w) it + = 1 timer = fig.canvas.new_timer(interval = 1 ) w = timer.add_callback(update) timer.start() fig.suptitle('matplotlib.axis.Tick.remove_callback() \ function Example', fontweight = "bold" ) plt.show() |
Output: