Combining Data in Pandas With merge(), .join(), and concat()

Combining Data in pandas With concat() and merge()

Martin Breuss
Martin Breuss 20 Lessons 1h 34m data-science intermediate
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The Series and DataFrame objects in pandas are powerful tools for exploring and analyzing data. Part of their power comes from a multifaceted approach to combining separate datasets. With pandas, you can merge and concatenate your datasets, allowing you to unify and better understand your data as you analyze it.

In this video course, you’ll learn how and when to combine your data in pandas with:

  • merge() for combining data on common columns or indices
  • concat() for combining DataFrames across rows or columns

If you have some experience using DataFrame and Series objects in pandas and you’re ready to learn how to combine them, then this video course will help you do exactly that. If you’re feeling a bit rusty, then you can watch a quick refresher on DataFrames before proceeding.

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Getting Started

3 Lessons 9m

1. Combining Data in pandas with concat() and merge() (Overview) 03:22

2. Set Up Your Environment 02:49

3. Create the Dataset 03:09

Combining Data Using concat()

8 Lessons 31m

1. Concatenate Along the Row Axis 03:33

2. Concatenate Along the Column Axis 05:45

3. Mark Your DataFrames With Keys 03:34

4. Access Data in a Multi-Index DataFrame 04:45

5. Re-create a New Index After Concatenation 03:47

6. Join Columns When Concatenating on Rows 04:46

7. Join Rows When Concatenating on Columns 02:36

8. Revisit Combining Data Using concat() 02:32

Combining Data Using merge()

9 Lessons 53m

1. Perform an Inner Join Using merge() 07:01

2. Perform an Outer Join Using merge() 06:19

3. Understand the Differences Between Left and Right Joins 07:34

4. Specify the Join Columns Explicitly 06:07

5. Join DataFrames Using Index Columns 06:48

6. Customize Column Suffixes and Perform a Cross Join 04:12

7. Practice Your Intuition With Some Peculiarities 07:10

8. Revisit Combining Data Using merge() 03:23

9. Combining Data in pandas With concat() and merge() (Summary) 04:51

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About Martin Breuss

Martin Breuss Martin Breuss

Martin likes automation, goofy jokes, and snakes, all of which fit into the Python community. He enjoys learning and exploring and is up for talking about it, too. He writes and records content for Real Python and CodingNomads.

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