Python Pandas Library Tutorial - Merging and Joining DataFrames in Pandas
Data professionals often need to merge and join multiple datasets. Luckily, Pandas library has a lot of built-in functions that can help us to create large datasets. In this video, we will walk you through the most common methods to perform Merging and Joining DataFrames in Pandas; concat() and merge().
🔸The concat() method joins two or more Pandas DataFrames in a column-wise or row-wise approach.
🔸The merge() method can perform a complex column-wise combining of Pandas dataframes in a SQL-like way.
Timecodes:
0:00 INTRO
04:09 Concat() Method
10:43 Merge() Method
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👉 Jupyter notebook used in this video: https://github.com/NabuRika/pandas_cr...
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