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Pandas & Matplotlib Cheat Sheet — Key commands and practical examples for analyzing and visualizing data.

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Pandas Cheat Sheet

A simple and practical Pandas Cheat Sheet with common commands and examples for quick reference.
Useful for beginners and intermediate data scientists working with Python and Pandas.


🐼 What is Pandas?

Pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation library for Python.

This cheat sheet summarizes the most common tasks and functions you need when working with data in Pandas.


📋 Contents

✅ Reading and writing data
✅ Selecting rows and columns
✅ Filtering and sorting data
✅ Handling missing values
✅ Grouping and aggregating
✅ Merging and joining DataFrames
✅ Useful tips and tricks


📂 How to Use

1️⃣ Clone or download this repository:

git clone https://github.com/anthonyRanivoarison/pandas-cheat-sheet.git
cd pandas-cheat-sheet

📦 Requirements

  • Make sure that you have python installed.
  • Create a virtual environment with:
python -m venv .venv 
  • Activate it:
source .venv/bin/activate # Linux & Mac
source .venv/Scripts/activate # Windows
  • Install all dependencies with:
pip install -r requirements.txt
  • Open jupyter notebook or an IDE to view and test codes. If you don't have jupyter, use Google Colab

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Pandas & Matplotlib Cheat Sheet — Key commands and practical examples for analyzing and visualizing data.

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