05 How do I select a subset of a DataFrame

Learn the art of selecting subsets of data in Pandas with this essential tutorial! In this video, part of our "Mastering Pandas using the Documentation" playlist, we explore how to effectively select and filter data from a Pandas DataFrame. Whether you're working with large datasets or need precise control over your data, this guide will show you the best practices for accessing specific rows, columns, and data points.
You'll discover:
How to use loc[ ] and iloc[ ] for label-based and integer-based selection
Filtering data with boolean indexing
Selecting specific columns and rows efficiently
Tips for working with multi-index DataFrames
This video is a must-watch for data analysts, data scientists, and anyone looking to enhance their data manipulation skills in Python.
Timestamps
04:11 Selecting single columns (Series)
10:04 Selecting multiple columns
15:02 Filtering specific rows
22:02 Filtering multiple row values in a column (isin and |)
31:45 Working with only non-missing rows of a column
34:23 Select specific rows and columns
41:53 Difference between loc and iloc
42:21 Assigning new values using loc and iloc
44:10 Recap
Link to the dataset:
raw.githubuser...
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