https://github.com/gusgitmath/histogram_plot

Python script for creating customized histograms using Matplotlib. Based on "Math & Physics Fun with Gus" YouTube tutorial. Features include data generation, histogram plotting, customization of bins and colors, and calculation of mean and standard deviation. Great for data visualization enthusiasts and students.
https://github.com/gusgitmath/histogram_plot

Last synced: about 2 months ago
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Python script for creating customized histograms using Matplotlib. Based on "Math & Physics Fun with Gus" YouTube tutorial. Features include data generation, histogram plotting, customization of bins and colors, and calculation of mean and standard deviation. Great for data visualization enthusiasts and students.

• Host: GitHub
• URL: https://github.com/gusgitmath/histogram_plot
• Owner: GusGitMath
• Created: 2024-08-29T15:07:41.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-08-29T15:09:53.000Z (4 months ago)
• Last Synced: 2024-08-29T16:51:13.598Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://www.youtube.com/watch?v=obhy7mlceto&t=229s
• Size: 83 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Crazy Fun Histogram Customization Jupyter Notebook

Date: Aug 2022

This Jupyter notebook accompanies the YouTube video "Crazy Fun Histogram Customization in Python (Matplotlib)!" by Math and Physics Fun with Gus.

## Contents

The notebook contains step-by-step code and explanations for:

1. Importing necessary libraries (Matplotlib, NumPy)

2. Generating sample data

3. Creating a basic histogram

4. Customizing histogram appearance

   - Adjusting bin sizes and colors

   - Adding labels and title

   - Customizing axis properties

5. Calculating and displaying statistics (mean and standard deviation)

6. Recreating the "Math & Physics Fun With Gus" histogram

## How to Use

1. Ensure you have Jupyter Notebook or JupyterLab installed

2. Install required libraries: 

   ```

   pip install matplotlib numpy

   ```

3. Open the notebook in Jupyter

4. Run cells sequentially to see the histogram creation process

## Customization

Feel free to modify the code to experiment with different data distributions, colors, or histogram styles. The notebook is designed to be interactive and educational.

Enjoy your histogram adventure!