A deep dive visual tutorial on how to join columns with other data frames in pandas

he join( ) function of the pandas’ library is used to join columns of another DataFrame. It can efficiently join columns with another DataFrame on index or on a key column. We can also join multiple DataFrame objects by passing a list. Let’s start by understanding its’ syntax and parameters. The companion materials for this tutorial can be found under our resources section.

Table of Content:

1. Syntax
2. Create DataFrames
3. Understanding lsuffix and rsuffix parameters
4. Joining DataFrames by Index Values
5. Set index to join DataFrames
6. Understanding the on parameter
7. Joining multiple DataFrames
8. Joining a Series with a DataFrame
9. Understanding the “how” parameter
10. Understanding the “sort” parameter
11. Key Takeaways
12. Resources
13. References

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