- 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
Populating Matplotlib subplots through a loop and a function
To populate matplotlib subplots through a loop and a function, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Create a figure and a set of subplots with number of rows = 3 and number of columns = 2.
Make a function to iterate the columns of each row and plot the x data points using plot() method at each column index.
Iterate rows (Step 2) and create random x data points and call iterate_columns() function (Step 3).
To display the figure, use show() method.
Example
import numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True fig, axes = plt.subplots(3, 2) """ Iterate column's axes""" def iterate_columns(cols, x): for col in cols: col.plot(x, color='red') """ Iterate row's axes""" for row in axes: x = np.random.normal(0, 1, 100).cumsum() iterate_columns(row, x) plt.show()
Output
Advertisements