Group By and Aggregate Functions in Pandas | Python Pandas Tutorials

Hi, if you had an issue making a group by with the 'Base Flavors' and the mean of the flavor rating, texture rating, and total rating. try this is works : df.groupby('Base Flavor')[['Flavor Rating', 'Texture Rating', 'Total Rating']].mean() Next line: print(group_by_frame)

why my pandas program in python work like this print(df.groupby(['Base Flavor', 'Liked']).mean(['Base Flavor', 'Liked']))
and don’t work like this:
print(df.groupby(['Base Flavor', 'Liked']).mean())

Why the query would not let me run df.groupby('Base Flavor').mean(), unless I put 'Based Flavor' in the aggregation function? However, it allowed me to run the other aggregations without having to include the column I am looking for in the function.

Excellent. Much better than edx ibm course

The "I've spent years researching this" at the start killed me 😂

Thank you very much! as always, your videos are very helpful!

Hey Alex, Hope you are doing well. First to let you know that you have been a great help for me in navigating the data analytics domain.
You once mentioned in one of your videos that cloud computing is now a necessary skills for Data analysts and that you would explain this in detail in one of your video. we are eagerly waiting for this video. Please make one when feasible.

very clear tutorial. nice work!

is data analyst oversaturated? someone said that, wdyt alex?

What did Boris do, to be the pandas course of choice on Udemy to receive paid promotion?

“Squiggly bracket” > “curly bracket” 😂

Also the first time I’ve seen describe() with groupby(). Makes total sense, thank you!

Thanks Sir

I really like this series and many thanks to Alex for sharing such useful knowledge.

This was very helpful, thank you!

I am interested to become a data analyst where do i begin, dont you have a beginner course? Or community so that we can join? I dont have any information about data analyst so i want to be taught from beginner friendly

Thanks sir🎉🎉🎉🎉

Thanks 🤩🤩🤩

Thanks for your great work Alex..!

Thanks a lot Alex! First one🎉🎉