Python Pandas Tutorial 11. Reshape dataframe using melt

[@codebasics]

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[@sukanyachoudhury6174]

Great video ...Thanks!... I want to point one thing here.
Though going through pandas documentation is a good practice but, there is a shortcut to see the documentation of a specific function also.
Just press shift+tab after typing the function name and you can see all the parameters for that function. like pd.melt() and shift+tab. same goes for dataframes or any other pandas objects also
I find this helpful whenever I am in doubt or forget the parameter names to pass. Hope it's helpful

[@codebasics]

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[@ziaurrehman4221]

Earlier this video i was very confused about how melt command excute the values but your video is very useful and informative...
May god bless you 😊

[@codebasics]

Machine learning tutorials with exercises are available at:
th-cam.com/video/gmvvaobm7eQ/w-d-xo.html

[@ranjeetjadhav1459]

This piece of code is underrated, this really comes in handy...😌😌

[@sy2252]

gr8 help, I was struggling for entire day

[@skkkks2321]

Thank you for the Piece of advise at the end,Yes.practice while watching is best way to learn.Thank you.

[@codebasics]

Yup, without practice it is just a waste of time !

[@flamboyantperson5936]

Eagerly waiting for Machine learning tutorials. Thank You.

[@multitaskprueba1]

Fantastic video! You are a genius! Thanks for teaching!

[@DiwakarKumarpro]

this is the perfect video for melting. thankyou

[@scobbyyy]

This was so helpful, thank you!

[@meetkcs]

Super way of Explanation 👌

[@PreparingForSHTF]

Thanks. You got me out of a bind. This was very well done.

[@harikrishna-harrypth]

Your tutorials are very very helpful!!!! Thank you!

[@codebasics]

Glad it was helpful!

[@mohammadhosseinansari6755]

wow many thanks for sharing your knowledge, I googled the melt command but since I'm new to this couldn't figure out the documentation. Best wishes and regards!

[@codebasics]

I am happy this was helpful to you.

[@arturopresa6552]

Thank you so much for your good explanation!

[@bandafanta]

Oh gosh if I could I'd given you 1000 likes haha Thank you so much !!!

[@VRUNO]

clear, nice and effective video! thanks Mr.!

[@Remanifest]

Extremely helpful. Thank you so much.

[@romanhudec4719]

My gush, I finally understand melt :D thanks!

[@codebasics]

Great!

[@jayshreedonga2833]

Thanks sir you are simply great

[@neeraj.kumar.1]

It was very helpful.....thanks 🌺

[@codebasics]

Glad it was helpful!

[@SravanKumar-jt1ot]

Sir can you make some tutorials on tensorflow

[@Sagar_Tachtode_777]

Thanks for sharing the knowledge ☺️

[@manhaabdellah3474]

Awesomeeee understood it easily

[@easydatascience2508]

You can see mine too. The playlist for Python and R give step by step aranged tutorials, with detailed source files.

[@freddubel6338]

That was very helpful, thanks a lot!

[@codebasics]

Glad to hear that!

[@nicolasmontoya7192]

Thank you, so helpful.

[@vasavaduttathota5855]

Very Usefull..Thank you

[@codebasics]

Glad it was helpful!

[@ericwr4965]

Great video, thank you sir.

[@leelanikatechnicaleducatio2162]

👍👍 very nice sir

[@jirimichalik4229]

Is there any difference if I am using pd.melt(df) or df.melt()?

[@maheshjadhav8071]

Plzz advice me how to get samples onn pro rata basis

[@asuquosamuel8567]

please which algorithm id facebook currently using for their news feed

[@IngenieroAguilera]

Is there an inverse function to melt()?

[@MrGabrielHidd]

always helping ;=D

[@karthikgowda7757]

Hi sir, is this the last video on pandas or any upcoming?

[@soufianetouzani9706]

you are the best

[@codebasics]

thanks soufiane for your kind words

[@mallikarjunannavaram8501]

how to revert back to the original df?

[@tupaiadhikari]

Sir please can you show the syntax on how to extract two columns from a dataframe : I am using the code
df1 = [df['col1'],df['col2']]. But sadly it is not working. Please can you correct the code?

[@pvelayut]

Sir, please try using df.loc[:,['col1','col2']]

[@_The_Sage_]

Is this not an 'inplace' operator?

[@bboyhusky]

Thank you :)

[@juancarlosortega7278]

Thanks ❤🐼

[@mishrr]

id_vars?
you said it to be on X axis but dates are on Y axis

[@mishrr]

you spoke wrong it is is a column identifier variable so its in column

[@jayshreedonga2833]

Thanks sir

[@explorer9782]

waiting for Machine Learning tutorials

[@jayshreedonga2833]

THANKS

[@ranl.8936]

thanks a lot!

[@HarishchandraKandpal]

Provide the code of melt function

[@mandarchincholkar5955]

Most of people here are because of error. 😂😂😂😂

[@dragonn9305]

how to reshape a data from (4,5) to (4,)

[@mishrr]

did you got the solution

[@rhugvedsatardekar9229]

This is Unpivot operation

[@isaacnewton7445]

I love you.

[@zshanez4610]

df1=df.melt(df, id_vars=['days']) is throwing an error!
ERROR : melt() got multiple values for argument 'id_vars'

[@krutarthdarji]

df1=pd.melt(df,id_vars=['days'])

[@valijoneshniyazov]

melt = unpivot

[@reinierstamaria6137]

Thank you so much! Explained beautifully

[@kenwang6182]

Thanks a lot!

[@codebasics]

You're welcome!