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 zoom a portion of an image and insert in the same plot in Matplotlib?
To zoom a portion of an image and insert in the same plot, we can take the following steps −
Create x and y points, using numpy.
To zoom a part of an image, we can make data for x and y points, in that range.
Plot x and y points (Step 1), using the plot() method with lw=2, color red and label.
Use the legend() method to place text for the plot, Main curve.
Create the axes using the axes() method by putting the rectangle’s coordinate.
Plot x and y points (Step 2), using the plot() method with lw=1, color='green' and label, i.e., subpart of the plot.
Use the legend() method to place text for the plot, zoomed curve.
To display the figure, use the show() method.
Example
import numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-5, 5, 1000) y = np.sin(x) x_zoom = np.linspace(-1, 1, 50) y_zoom = np.sin(x_zoom) plt.plot(x, y, c='red', lw=2, label="Main curve") plt.legend() axes = plt.axes([.30, .6, .20, .15]) axes.plot(x_zoom, y_zoom, c='green', lw=1, label="Zoomed curve") axes.legend() plt.show()
Output
Updated on: 09-Apr-2021
3K+ Views
Advertisements