- 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 is the Pyplot histogram bins interpreted? (Matplotlib)
To plot histogram bins interpreted with different bins, we can take the following steps −
Set the figure size and adjust the padding between and around the subplots.
Make a list of data to plot in histogram.
Add a subplot to the current figure,nrows=1, ncols=3 and index=1.
Plot a histogram with data; bins is a number.
Add a subplot to the current figure, nrows=1, ncols=3 and index=2.
Plot a histogram with data; bins is an array.
Add a subplot to the current figure, nrows=1, ncols=3 and index=3.
Plot a histogram with data, bins is a string.
Example
import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True data = [1, 3, 1, 4, 7, 1, 3, 5, 4, 6, 5] plt.subplot(131) plt.hist(data, bins=len(data)) plt.subplot(132) plt.hist(data, bins=[1, 3, 5, 7]) plt.subplot(133) plt.hist(data, bins='stone') plt.show()
Output
Advertisements