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.

A Brief History of Pandas

A nuclear test gone wrong, high finance, and some convenient code!

Being REALLY Lazy With Multiple Aggregations in Pandas

Perform multiple aggregate functions simultaneously with Pandas 0.25

Splitting Columns With Pandas

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.

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

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

Removing Duplicate Columns in Pandas

Dealing with duplicate column names in your Pandas DataFrame.

Using Hierarchical Indexes With Pandas

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

Reshaping Pandas DataFrames

A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.