Welcome to pyplot-hub – your one-stop shop for quick, easy, and beautiful plots in Python! Whether you’re a data scientist, analyst, or just a curious soul trying to visualize your data, this repo is your go-to place. Here, you’ll find simple Python scripts to create the most common plots, all ready for you to use, customize, and explore! 🚀
We’ve got all the plot types you need, and more!
- Histograms 📈: Perfect for visualizing the distribution of your data.
- Box Plots 📦: Great for identifying outliers and understanding data spread.
- Line Plots 📉: Show trends over time or any continuous variable.
- Pie Charts 🥧: For when you want to show proportions in a deliciously fun way.
- and many more
- Easy to Use: Just run the script and watch the magic happen! ✨
- Highly Customizable: Modify titles, colors, labels, and more with just a few lines of code.
- Data-Friendly: Great for visualizing anything from small datasets to big data! 📊
- Clone this repo.
- Pick your plot type (Histogram, Line Plot, etc.).
- Plug in your data and run the script.
- Customize and tweak to your heart’s content! 💡
pyplot-hub makes visualizing your data as easy as pie (pun intended 🥧)! Happy plotting!
Can't find what you're looking for? No worries - it's just a peanut! 🥜 Drop me a line at [email protected] and I'll help you crack it:
If you find this toolkit helpful and want to support open science and free education, consider contributing to:
UPI: 8618102886@ybl
Dr. Kanaka K. K., PhD, ARS
Scientist
School of Bioinformatics
ICAR-Indian Institute of Agricultural Biotechnology, Ranchi
Be like IIAB!: IIAB is like yogic center where all the sciences (Plant, Animal, Aquatic,Mibrobiology, IT) meet to address emerging issues in food production.
Remember: Every analysis is just a peanut waiting to be cracked! 🥜
When the data seems overwhelming - just say "It's a peanut!"
When the statistics look scary - whisper "It's a peanut!"
When the code won't run - smile and say "It's a peanut!"
🥜 It's a peanut!