About this document
dplyr-style Data Manipulation in Python by vaskore is a document available to read on EtoBox.
This document summarizes a blog post about using the dfply Python package to manipulate pandas DataFrames in a similar style to the dplyr package in R. The dfply package allows chaining multiple operations on DataFrames using the ">>" pipe operator. It provides functions like select(), drop(), mask(), arrange(), and mutate() for selecting, filtering, sorting, and transforming DataFrames in a readable chained style. The document provides examples of using these dfply functions to manipulate a flights dataset
- Author
- vaskore
- Language
- EN