Skip to main content
TopMiniSite

Back to all posts

How to Change Number Of Bins In Matplotlib?

Published on
3 min read
How to Change Number Of Bins In Matplotlib? image

Best Matplotlib Guides to Buy in October 2025

1 Storytelling with Data: A Data Visualization Guide for Business Professionals

Storytelling with Data: A Data Visualization Guide for Business Professionals

  • MASTER DATA STORYTELLING TO DRIVE IMPACTFUL BUSINESS DECISIONS.
  • LEARN EFFECTIVE DATA VISUALIZATION TECHNIQUES FOR CLEARER INSIGHTS.
  • BOOST ENGAGEMENT WITH COMPELLING VISUALS THAT CAPTIVATE AUDIENCES.
BUY & SAVE
$23.05 $41.95
Save 45%
Storytelling with Data: A Data Visualization Guide for Business Professionals
2 Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code

Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code

BUY & SAVE
$36.49 $65.99
Save 45%
Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code
3 Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards

Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards

BUY & SAVE
$41.33 $59.99
Save 31%
Data Visualization with Microsoft Power BI: How to Design Savvy Dashboards
4 Python Data Science Handbook: Essential Tools for Working with Data

Python Data Science Handbook: Essential Tools for Working with Data

BUY & SAVE
$44.18 $79.99
Save 45%
Python Data Science Handbook: Essential Tools for Working with Data
5 Advanced Analytics with Power BI and Excel: Learn powerful visualization and data analysis techniques using Microsoft BI tools along with Python and R (English Edition)

Advanced Analytics with Power BI and Excel: Learn powerful visualization and data analysis techniques using Microsoft BI tools along with Python and R (English Edition)

BUY & SAVE
$37.95
Advanced Analytics with Power BI and Excel: Learn powerful visualization and data analysis techniques using Microsoft BI tools along with Python and R (English Edition)
6 Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data

Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data

BUY & SAVE
$14.64 $16.99
Save 14%
Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data
7 Become a Great Data Storyteller: Learn How You Can Drive Change with Data

Become a Great Data Storyteller: Learn How You Can Drive Change with Data

BUY & SAVE
$24.31 $40.00
Save 39%
Become a Great Data Storyteller: Learn How You Can Drive Change with Data
8 Good Charts, Updated and Expanded: The HBR Guide to Making Smarter, More Persuasive Data Visualizations

Good Charts, Updated and Expanded: The HBR Guide to Making Smarter, More Persuasive Data Visualizations

BUY & SAVE
$24.87 $35.00
Save 29%
Good Charts, Updated and Expanded: The HBR Guide to Making Smarter, More Persuasive Data Visualizations
9 Learning Tableau 2022: Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities

Learning Tableau 2022: Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities

BUY & SAVE
$36.09 $79.99
Save 55%
Learning Tableau 2022: Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities
+
ONE MORE?

To change the number of bins in matplotlib, you can use the hist() function and pass the desired number of bins as an argument. For example, if you want to create a histogram with 10 bins, you can use plt.hist(data, bins=10). This will divide the data into 10 bins and plot the histogram accordingly. You can adjust the number of bins to suit your data and visualization needs.

What is the default number of bins in matplotlib?

The default number of bins in Matplotlib is 10.

What is the role of bin size in histogram interpretation in matplotlib?

The size of the bins in a histogram created using Matplotlib determines the number of data points that fall into each bin. A larger bin size will result in fewer bins and a more generalized view of the data distribution, while a smaller bin size will provide a more detailed and granular view.

Choosing the right bin size is important because it can affect the interpretation of the histogram. If the bin size is too large, important details in the data distribution may be missed, while a bin size that is too small may result in noise and make it difficult to see patterns or trends in the data.

Therefore, selecting an appropriate bin size is crucial for accurately interpreting the distribution of the data in a histogram created using Matplotlib. Experimenting with different bin sizes and visually inspecting the resulting histograms can help in finding the optimal bin size for a particular dataset.

What is the significance of the number of bins in matplotlib?

The number of bins in matplotlib represents the number of intervals or groups into which the data will be divided in a histogram. The number of bins is an important parameter to consider because it can affect the appearance and interpretation of the histogram.

Choosing the right number of bins can help to highlight different aspects of the data distribution, such as skewness, outliers, or patterns. Too few bins may oversimplify the data and hide important information, while too many bins can make the histogram difficult to interpret or visually cluttered.

In general, it is recommended to experiment with different numbers of bins to find the most suitable one for representing the data effectively. This can be done by visually inspecting the histogram and considering the distribution of the data. The goal is to find a balance between capturing the underlying patterns in the data and maintaining simplicity and readability in the visualization.

How to change the number of bins in a density plot in matplotlib?

To change the number of bins in a density plot in matplotlib, you can use the bins parameter in the kdeplot() function from seaborn library. Here is an example code to change the number of bins in a density plot:

import seaborn as sns import matplotlib.pyplot as plt

Create some sample data

data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

Plot the density plot with 5 bins

sns.kdeplot(data, bins=5) plt.show()

In this code, we are creating a density plot with 5 bins by setting the bins parameter to 5 in the kdeplot() function. You can adjust the number of bins to your desired value to visualize the data distribution more clearly.

What is the default bin size in matplotlib histograms?

The default bin size in matplotlib histograms is determined by the Freedman-Diaconis rule, which calculates the number of bins based on the data range and the number of data points.