Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
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
Updated on: 10-Apr-2021
3K+ Views
Advertisements