Pandas

Analyze data with the Pandas data analysis library for Python. Start from the basics or see real-life examples of pros using Pandas to solve problems.

Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.
Code Snippet Corner
3 min read
June 03

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.
Code Snippet Corner
3 min read
May 28

Using Hierarchical Indexes With Pandas

Use Panda's Multiindex to make your data work harder for you.
Pandas
12 min read
May 28

Reshaping Pandas DataFrames

A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.
Pandas
12 min read
May 21

Plotting Data With Seaborn and Pandas

Create beautiful data visualizations out-of-the-box with Python’s Seaborn.
Data Science
13 min read
April 29

Building an ETL Pipeline: From JIRA to SQL

An example data pipeline which extracts data from the JIRA Cloud API and loads it to a SQL database.
Data Engineering
12 min read
March 28

Downcast Numerical Data Types with Pandas

Using an Example Where We Downcast Numerical Columns.

Liberating Data from PDFs with Tabula and Pandas

Making 'open' data more open.
Pandas
12 min read
November 04

Importing Excel Datetimes Into Pandas, Part II

Import dates & times from Excel .xlsx files into Pandas!

Importing Excel Datetimes Into Pandas, Part I

Pandas & Excel, Part 1.