Merge Pandas Dataframes

Can we call it reconciliation?

Did you mean on='customer_id'?

literaaly pandas mege is exclusively used by us in banking on everyday basis.

Still use sql query to join, I'll try it next, thanks!

Its a must know for SQL and relational databases too

Please which platform are Yu running this python on?

How to use SQL with python 😂

Whats the difference between merge and join on pandas. And could you make a video of those commands using polars?

Cust id is abcd lol

Perfect loop! Very useful content!

More of this content Sir! This is undeniably fun to learn. 😍

Beautiful Videos Man

You missed Pandas join function

Lol. Today, i spent 6h on a merge, and now you make this video. Here is an idea for a future video I'd like to see from you: Table 1 has a few columns representing different types of analysts. The actual values are not their names but ids. Table 2 has (obviously) an id column, FirstName and LastName. I don't want a simple merge. I want a mapping. I want Table 1's ids to be replaced with (corresponding FullNames). Throw in some condiments as well, like: columns in table 1 have in fact the ids stored as strings while Table 2 Id column has int64

Merge is great but what if you want to merge two dataframes that have slightly different string values on the column you want to merge? I am in the situation where I have one large dataframe (>60k rows) and one small (200 rows) and I want to merge a certain column of the 60k dataframe to the 200 row dataframe. I know that both dataframes have a column that share almost the same values ( Example: DF1 Column A = 'Dogs', DF2 Column A = 'Dog' ) Any tips on how to merge those? tried to clean the data with fuzzy matching, but that took to long, because my dirty dataframe has over 60k rows. Any tips are welcome!

Thanks Rob!
Also in Tableau, we can do it easily

Shouldn't we be using concat instead?

I like the indicator trick!! Thank you for sharing

This video is an infinite loop! 🤯 it ends with "so now you know why..." and begins with "this technique is a must know for working with dataframes in Python" 👍🏻