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:
# 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:
# 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...