Series, dataframes, and indexing

A dataframe is columns of typed series sharing an index. Once the index clicks, selection with loc and iloc stops being guesswork.

Lesson 2.130m 37sBeginner26.6k students

Chapters

30:37
  1. 0:00Overview
  2. 0:22Setup/Install
  3. 2:05DataFrame Fundamentals
  4. 8:46Using Jupyter Notebooks
  5. 9:55Loading CSV Files
  6. 11:00Exploring a DataFrame
  7. 13:24Indexing By Row & Column
  8. 17:40Filtering
  9. 22:03Updating Data
  10. 25:48Deleting Data
  11. 26:18Cleaning Data
  12. 28:00Analyzing Data

What this lesson covers

  • Create dataframes and inspect their dtypes
  • Select rows and columns with loc and iloc
  • Understand why the index matters

This lesson sits in pandas Essentials, part of Python for Data Work. It assumes what came before it and leads directly into the next lesson in the module.

In this lesson you will

  • Create dataframes and inspect their dtypes
  • Select rows and columns with loc and iloc
  • Understand why the index matters

Resources