Pandas functions: merge vs. join vs. concat

[@misraturp]

Which Pandas functions would you like me to compare/explain next?

[@YogiNotTheBear007]

hi, could you please explain cut, apply and map?

[@misraturp]

@@YogiNotTheBear007 Added to the list! Thank you!

[@arshad1781]

Make a complete video series A to Z step by step on Data science, Machine learning, Deep learning like hot 🔥 topic

[@misraturp]

@@arshad1781 Good idea, thanks Arshad!

[@zulhishamtan4308]

Merge_asof() is awesome for time series merging. Hope you can consider to make a video for it. Thanks again.

[@mosama22]

Do you know what I really LOVE about your videos, you COVER THE WHOLE TOPIC, so if we talking about reshaping for example you mentioned all the 8 functions could be used and then you chose. Having the full picture really helps a lot. Even if you are an expert, going back to your videos, sometimes help remind us what other options do we have, or what other functions we might forget about.

[@mosama22]

Thank you for the beautiful videos, I'd just appreciate if you added a link to the data set and the notebook you use for each video please, so we can follow up with you.
Thanks a million again for the beautiful videos 🙂

[@bethuelthipe-moukangwe7786]

The lessons about pandas are now making sense to me, especially on how to use groupby, apply ,apply map and lambda function.
Big thanks Ms Misra Turp.

[@oscar-expertprojectmanager6733]

Thank you Misra. Great explanation on the Pandas functions: merge vs. join vs. concat. One comment I would make about using pd.set_options('display.max_rows', None) and pd.set_options('display.max_columns', None); If your dataset is large, you run the risk of crushing your notebook, and you would have to go through a process to fix it.

[@gaganbhattacharya9890]

I didn't know what does ''left_on & right_on' means in merge & the difference between merge & join but now I understand!
Thanks!

[@Xirato95]

Thank you for your clear explanations! I love it how you explain it while using a simple example and go through it step by step. I’m new to Python and Pandas library and while looking up different functions the explanations can be a little bit overwhelming. You made this noobie prove! Keep up the good work and much appreciated!

[@misraturp]

This is awesome to hear, you're welcome!

[@kentjordan4658]

May you provide the dataset? Thanks! 😄

[@zulhishamtan4308]

Thank you for the sharing... Awesome... I learnt a lot...

[@SESHUNITR]

loved it Misra. clear explanation and a quick reference if we forget.

[@misraturp]

Great to hear!

[@ArunKumar-sc9dl]

Thank you, very simple explanation.

[@misraturp]

You're welcome!

[@blackpenny9628]

great...concise and straight

[@ahmedalhomeidy]

clear explanation and precise and on to the point, I love it

[@misraturp]

Thank you!

[@harishpoalampalli9637]

Hey Turp !! great explanantion !! Is it possibe to provide the data sets !! Thanks

[@kennethstephani692]

Great video!!

[@misraturp]

Thanks!

[@ishanseth4442]

Thanks a lot

[@khemrajpatil5683]

Thanks for the vide!. It gives me clarity.

[@misraturp]

You're welcome!

[@batyratayev2230]

Thanks @misraturp!

[@tusharwarade4603]

plz add datasets used in this video😊😊

[@anurajms]

thank you

[@ahamedsuhails]

Thank you

[@avirajankitjain256]

Hi , where is the data set?

[@GregThatcher]

Thanks!

[@misraturp]

Thank you!

[@loordgo8772]

thanx for the video. what about Merge Conflict? can be detected using Pandas?

[@ashwinr1407]

clear and informative ! thanks.

[@misraturp]

You're very welcome

[@nicknicknick7860]

Nailed the explanation, thank youu!

[@misraturp]

You're welcome :)

[@AmitMishra-xd7yo]

Thanks! It's pretty useful!

[@misraturp]

Great to hear!

[@abinetayele7901]

Perfect video.

[@misraturp]

Glad you think so!

[@domillima]

When you merge left_on='ID', right_on='ID2'.. two columns of different names with the same IDs, is there a way to drop one of these, other than adding .dop(col_name) at the end? thanks

[@mariaclaraceballos3488]

thanks for the explanation! what happens if we use the function concat with 2 dataframes that have repeated data, i mean an ID that is in both dataframes?

[@vaibhavk2430]

In streamlit can you implement direction feature like we have in google maps i.e. we choose our starting point and ending point and and there is a direction showing the way

[@misraturp]

I don't think so but then again I never tried doing that.

[@86Maryj]

Hi can you please help to do pivot with multiple sheets

[@arshad1781]

Nice 👍

[@misraturp]

Thanks!

[@bryan-9742]

I never got sent any of the cheat sheets. Are you sure that links is still functioning?

[@misraturp]

Hey Bryan, it should still be working. Could you check your spam folder. I see that someone with the name Bryan submitted the form but never confirmed their email. (Don't want to share the last name here but that could be you). Either way, if you cannot find the mail in your spam folder, you can get it here too: misraturp.gumroad.com/l/pandascs

[@vijhey3850]

wheres video for group by ()?

[@misraturp]

Good idea!

[@busrauygun1158]

Videolarınıza Türkçe altyazı ekleseniz Türkler de bu nimetten faydalansa çok güzel olmaz mı

[@sanooosai]

rocker

[@chethanhv3125]

thanks @misra Turp

[@misraturp]

You're very welcome!

[@vigneshm4916]

Great video !

[@misraturp]

Thank you!