Brushing Up on Pandas Groupby

Photo by Artur Łuczka on Unsplash
Data Frame with 10 Features and 1 Target
345 Different Value_counts for Genre
Number of Books in the 345 Different Genres
11 Different BookCategories
A groupby operation involves some combination of splitting the object, applying a function, and combining the results. This can be used to group large amounts of data and compute operations on these groups.
Applying the groupby() operation on the Data Frame
  • count()
  • describe()
  • first()
  • last()
  • max()
  • mean()
  • min()
  • nth():
  • sem()
  • size()
  • std()
  • sum()
  • var()
A portion of the Different Genres in “Arts, Film & Photograph” Category
Appended .max()
‘Action & Adventure’ Category with 754 books in the “Action & Adventure (Books)” Genre
754 Books is the Highest Number in Genre and Book Category

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Multi Record Transactions for Aerospike

Basic Camera Follow In Unity

Networking Has Landed!

Java Modules: a complete guide part 1

Solving Linear Equation System

Rand (NumPy) and Randint (NumPy) in Python

Linux Boot Process — Part 1

Automated AD LAB with BadBlood installed automatically # Part 1

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Annika Noren

Annika Noren

More from Medium

Numpy Pandas in Python from Scratch

Pandas dtypes: To category or not to category?

Python Operators