https://github.com/patilni3/matplotlib-in-depth

Python's Matplotlib Library for Data Analysis, Machine Learning, Data Science and many more...
https://github.com/patilni3/matplotlib-in-depth

data-analysis data-representation data-science data-visualization matplotlib matplotlib-pyplot plots-in-python powerbi seaborn

Last synced: 2 days ago
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Python's Matplotlib Library for Data Analysis, Machine Learning, Data Science and many more...

• Host: GitHub
• URL: https://github.com/patilni3/matplotlib-in-depth
• Owner: PatilNi3
• Created: 2024-11-06T09:26:04.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-11-06T09:39:53.000Z (3 months ago)
• Last Synced: 2024-12-16T06:17:22.223Z (about 2 months ago)
• Topics: data-analysis, data-representation, data-science, data-visualization, matplotlib, matplotlib-pyplot, plots-in-python, powerbi, seaborn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.62 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Introduction:

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations.

Matplotlib is a widely-used plotting library for Python that allows users to create a variety of static, animated, and interactive visualizations in a simple and effective way. It is highly customizable and provides a range of options for creating high-quality graphs and plots.

## Installation:

  1. **pip:** pip install matplotlib

  2. **conda:** conda install -c conda-forge matplotlib

## Key Features

1. What is Matplotlib and What is Matplotlib Figure?

2. Advantages of Matplotlib

3. Different types of plots in Matplotlib with their use cases and examples

4. [Line Plot](#line-plot)

5. [Scatter Plot](#scatter-plot)

6. [Bar Plot](#bar-plot)

7. [Horizontal Bar Plot](#horizontal-bar-plot)

8. [Histogram](#histogram)

9. [Box Plot](#box-plot)

10. [Pie Chart](#pie-chart)

11. [Heatmap](#heatmap)

12. [Violin Plot](#violin-plot)

13. [3D Plot](#3d-plot)

## Reference:

### 1. Books: 

[Scientific Visualization: Python + Matplotlib (2021)](https://inria.hal.science/hal-03427242/) by Nicolas P. Rougier

[Mastering matplotlib](https://www.packtpub.com/en-us/product/mastering-matplotlib-9781783987542) by Duncan M. McGreggor

[Interactive Applications Using Matplotlib](https://www.packtpub.com/en-us/product/interactive-applications-using-matplotlib-9781783988846) by Benjamin Root

### 2. Videos:

[Plotting with matplotlib](https://youtu.be/P7SVi0YTIuE?si=ltjzBnFTQlu3Fh6C) by Mike Müller

[Introduction to NumPy and Matplotlib](https://youtu.be/3Fp1zn5ao2M?si=t8gWp21pyHAjwSJX) by Eric Jones

[Matplotlib Introduction](https://youtube.com/playlist?list=PLeo1K3hjS3uu4Lr8_kro2AqaO6CFYgKOl&si=Dul8vIVBKQADHMva) by codebasics

### 3. Tutorial:

[Matplotlib tutorial](https://github.com/rougier/matplotlib-tutorial) by Nicolas P. Rougier

[Anatomy of Matplotlib - IPython Notebooks](https://github.com/matplotlib/AnatomyOfMatplotlib) by Benjamin Root

[Beyond the Basics: Data Visualization in Python](https://github.com/stefmolin/python-data-viz-workshop) by Stefanie Molin

# Thank You ☺