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.

beautiful thank you

The most detailed explanation with visuals of how the data frames are merging and joining ... #Kudos

Really good tutorial ready for part 3

Permission to ask. Fpdf2 installation failed. Message appears "Could not find a version that satisfies the requirement fpdf (from versions: none)" and "No matching distribution found for fpdf". Please help.

thanks, dude!

If you create multiple pdf files, can you go back later and combine them into one?

Nicely done!

.append has been deprecated

BEST VIDEOOOO!!!!!🤩🤩🤩🤩

i love it, keep it up mate

Thanks. Can you tell once again for beginners pls.

thank you so much

Thanks and yes please 2:15

i want to set columns side by side 'outer' even with concatenate and axis = 1 i am still getting nan values like in 12:12 instead of 12:20, . ... why ???? oh why?????, thanks a lot for this wonderful well explained perfect tutorial

why am i getting this ?????!!!!!! df.groupby(['pclass'])[['survived','fare']].sum() survived fare pclass 1 200 211.3375151.55151.55151.55151.5526.5577.958305... 2 119 24241311.510.526261311.510.51310.512.525262626... 3 181 7.5520.2520.2520.257.657.657.9257.22927.258.05...

still doesnt work. I dont have the copy to path option when right clicking

Cool bro ❤

Wow

Thanks for this. I had added my path to the user variables rather than the system variables and it was driving me mad why it wasn't working. Working fine now, thank you.

best ever

best quick and easy to follow tutorial

Still saved me 4 years later! Thanks

I'm a simple man: I solve a problem with a 20 seconds video, I give like

Great Video … Thank you so very much ❤❤❤

You are a legend, thanks!

Great video that just clear my questions!

diagram rating 1. Really understood the context

Pls ZOOOOOM your screen..............Awsome video..

Thank you! 2 years later.

Can you teach us all the maths applied to data analysis?

Is this good to be used with otf files of fonts?

What happened to this channel?

Thank you

can anyone explain at money col he replaces everything with empty string but i have loss which is indicated by - how can i keep the - sign for indicatiing loss and change its type to nu[meric ??

please could you tell me on what basis it takes the thresholds for the ABC categories

Wonderful video with a great explanation and got the answers.

This video has been very useful, thank you very much <3

I have a problem where certain columns that were too long got split into the rext row and conjured None and Nan entiies and misplaced name-stub that should be in first column but was paced in 3rd column. I want to append the stub to the column 1 name of the previous row and then remove the row with the None Nan entiies.

what if we have more than one format

Very simple and easy to understand explanation, the concept has been explained in almost the first minute

Great! Thank you very much!

hi i love your bald head

Outstanding!

Excellent narration. Your videos are so precise. Not beating around the bush as many KZbinrs do. I start following your videos recently and I it gives me great results. In the summing up of rows I encounter a problem of which I am not able to figure out. I tried to do the same example of yours and it is frustrating that I don't get the result. The code I have written is: df['sums'] = df.sum(axis=1). and I keep getting the error message: TypeError: unsupported operand type(s) for +: 'int' and 'str' Please... can you help me.

Hello, great explanation. Is a way to contact you directly for pay coach, i have a project to do and i need help?

it's easy to understand how you explain it

nice thx

Awesome!

Thanks for wonderful tutorial, how could we convert a large csv having 4-5 uneven colomns lenghts, header of CSV should be on top of every PDF page, and PDF grid should be accourding to large line with breaks (to cater in single cell)