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.

Code Snippet Corner: Splitting Columns With Pandas

Code Snippet Corner: Splitting Columns With Pandas

Splitting up columns that contain multiple things with Python and Pandas
Comparing Rows Between Two Pandas DataFrames

Comparing Rows Between Two Pandas DataFrames

Find which rows are different between two DataFrames, as well as which DataFrame they are unique to.
Recasting Low-Cardinality Columns as Categoricals

Recasting Low-Cardinality Columns as Categoricals

Downcast strings in Pandas to their proper data-types using HDF5.
Removing Duplicate Columns in Pandas

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.
Using Hierarchical Indexes With Pandas

Using Hierarchical Indexes With Pandas

Use Panda's Multiindex to make your data work harder for you.
Reshaping Pandas DataFrames

Reshaping Pandas DataFrames

A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.
Plotting Data With Seaborn and Pandas

Plotting Data With Seaborn and Pandas

Create beautiful data visualizations out-of-the-box with Python’s Seaborn.
Building an ETL Pipeline: From JIRA's REST API to SQL

Building an ETL Pipeline: From JIRA's REST API to SQL

Build a pipeline which extracts raw data from the JIRA's Cloud API, transforms it, and loads the data into a SQL database.