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 extract data from a Matplotlib plot?
To extract data from a plot in matplotlib, we can use get_xdata() and get_ydata() methods.
Steps
- Set the figure size and adjust the padding between and around the subplots.
- Create y data points using numpy.
- Plot y data points with color=red and linewidth=5.
- Print a statment for data extraction.
- Use get_xdata() and get_ydata() methods to extract the data from the plot (step 3).
- Print x and y data (Step 5).
- To display the figure, use 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
y = np.array([1, 3, 2, 5, 2, 3, 1])
curve, = plt.plot(y, c='red', lw=5)
print("Extracting data from plot....")
xdata = curve.get_xdata()
ydata = curve.get_ydata()
print("X data points for the plot is: ", xdata)
print("Y data points for the plot is: ", ydata)
plt.show()Output
Extracting data from plot.... X data points for the plot is: [0. 1. 2. 3. 4. 5. 6.] Y data points for the plot is: [1 3 2 5 2 3 1]
Updated on: 01-Jun-2021
12K+ Views
Advertisements