Kunal Jain — July 20, 2015
Beginner Cheatsheet Data Exploration Infographics Python

Introduction

If some one would ask me to mention 2 most important libraries in Python for data science, I’ll probably name “pandas” and “scikit-learn”. Pandas for the capability to read datasets in DataFrames, exploring and making them ready for modeling / machine learning and Scikit-learn for actually learning from these features created in Pandas.

While there are quite a few cheat sheets to summarize what scikit-learn brings to the table, there isn’t one I have come across for Pandas. Hence, we thought of creating a cheat sheet for common data exploration operations in Python using Pandas. If you think we have missed any thing in the cheat sheet, please feel free to mention it in comments.

The PDF version of the sheet can be downloaded from here (so that you can copy paste codes)

 

data exploration in python using pandas

You can keep this cheat sheet handy while performing data exploration. Download the PDF Version here.

 

If you like what you just read & want to continue your analytics learning, subscribe to our emailsfollow us on twitter or like our facebook page.

About the Author

Kunal Jain
Kunal Jain

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

Our Top Authors

Download Analytics Vidhya App for the Latest blog/Article

One thought on "CheatSheet: Data Exploration using Pandas in Python"

venugopal rao
venugopal rao says: September 08, 2016 at 5:18 am
All together one place very useful Reply

Leave a Reply Your email address will not be published. Required fields are marked *