Combining Data in Pandas With merge(), .join(), and concat()
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, join, and concatenate your datasets, allowing you to unify and better understand your data as you analyze it.
In this tutorial, you’ll learn how and when to combine your data in pandas with:
merge()for combining data on common columns or indices.join()for combining data on a key column or an indexconcat()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