Contents

Pandas Basics

This notebook introduces some functionality for pandas Series and DataFrames

  • Be familiar with datetime

  • Use built-in aggregation functions and be able to create your own and apply them using agg

  • Use built-in Series transformation functions and be able to create your own and apply them using apply

  • Use built-in scalar transformation functions and be able to create your own and apply them using applymap

  • Be able to select subsets of the DataFrame using boolean selection

  • Know what the “want operator” is and how to apply it

Lecture Resource

Here is the QuantEcon DataScience pandas basics lecture

We will work through the following notebook.

Local Option

You can download the notebook from here

Then browse to your download location and load jupyter:

cd ~/Downloads
jupyter notebook pandas-basics.ipynb

Cloud Based Option

You can launch the notebook

Pandas Introduction Pandas Index