@kumar-vns
🙏🙏🚩🚩🙏🙏Truly sir great lecture I had been trying to understand group by in pandas since last 25 days, but no-one was able to clear my confusion. But you sir explained me brilliantly and I am really so obliged of you. Thanks and I subscribed you and share on Facebook page, from Banaras City, India 😄😄😄🙏🙏🙏🙏🙏🙏
@lightningmi
Good step by step tutorial. But one thing you missed by Groupby multi columns, and apply different aggregate function. example: [column A, column B] A=sum, B=average. something like that
@Aleqsie
ok this is a mad comprehensive information that is explained amazingly briefly and clearly within just 7 min.
@rashadm.sadigov4366
Dude thank you sooo much. Finally someone with proper english explained things properly
@athief
It's great to have a 5-min quick & dirty dive, but a couple more seconds here and there to say that "agg" means "aggregate", that if we want more than one column summarised we must provide a list (hence the double brackets), etc. It provides a simple explanation that facilitates memory.
@crystalchaung1576
I had to watch this a couple times too hear that part around 4:18 about why groupby will only return those who survived. It is good you added that. Now that I understand that, I can take a shot at age groups for the Titanic.
@imad_uddin
I have seen three of your videos so far, all were very well thought out. Really helpful. You deserve many more subscribers!
@samuuuueeel
Thanks!!!! I had problems with the groupby and .mean( ). In my course don't write the [ [ ] ], my teacher only wrote df.groupby( [ ' ' ] ).mean( ) for a dataframe with str and float and python output was only the column with float data, but conserved the column name. My solution was with the [ ], but I needed the column name. I give you a like. Sorry for my english.
@sgerodes
Brilliant. It had exactly what i needed. Multiple groups and the splitting trick
@erandawi
Thanks a lot i am searching this in entire weeks on articles.
@jimalix6270
Super helpful video! Glad I found your channel!
@saisarath623
Really helpful tricks. Thank you!
@falafelexplorer
Simple and informative i love this video and am saving it for future references! Thank you!
@tonianibal7585
Thank you very much for sharing! It really helped me, was exactly what I was looking for. People like you are blessed ang good people helping to develop this world! I just subscribed, follow and will share in my groups!
@mrb7931
Thanks a lot! You saved me day , now i can calculate mean by categorizing datasets
@afonsoosorio2099
Awesome 👌. Clear crystal 🔮. I specially like the bin trick, straightforward. That is really amazing 👏 😍. I had to break into intervals using numpy select ( ) or user defined function with apply ( ) to get the same result with the bin method. Keep it up.
@Monkeysal07
THANK YOU!!! that last tip is a life saver
@lawngreenlyp
This is a very good video for explanation. Thanks so much from Hong Kong.
@aishwaryapattnaik3082
Just what we needed . Awesome content 🙌🏼
@ShiladityaBiswasNow