Article Categories
- All Categories
-
Data Structure
-
Networking
-
RDBMS
-
Operating System
-
Java
-
MS Excel
-
iOS
-
HTML
-
CSS
-
Android
-
Python
-
C Programming
-
C++
-
C#
-
MongoDB
-
MySQL
-
Javascript
-
PHP
Selected Reading
How to update matplotlib's imshow() window interactively?
To plot interactive matplotlib’s imshow window, we can take the following steps −
Using the subplots() method, create a figure and a set of subplots.
Create an array to plot an image, using numpy.
Display the image using the imshow() method.
To make a slider axis, create an axes and a slider, with facecolor=yellow.
To update the image, while changing the slider, we can write a user-defined method, i.e., update(). Using the draw_idle() method, request a widget redraw once the control returns to the GUI event loop.
To display the figure, use the show() method.
Example
import numpy as np from matplotlib import pyplot as plt from matplotlib.widgets import Slider plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, ax = plt.subplots() image = np.random.rand(3, 3) img = ax.imshow(image) axcolor = 'yellow' ax_slider = plt.axes([0.20, 0.01, 0.65, 0.03], facecolor=axcolor) slider = Slider(ax_slider, 'Slide->', 0.1, 30.0, valinit=2) def update(val): ax.imshow(np.random.rand(3, 3)) fig.canvas.draw_idle() slider.on_changed(update) plt.show()
Output

Advertisements
