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
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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!
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?
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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
Step by step guide on how to learn data science for free: th-cam.com/video/Vn_mmOuQkSA/w-d-xo.html
Machine learning tutorials with exercises:
th-cam.com/video/gmvvaobm7eQ/w-d-xo.html
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 😊
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This piece of code is underrated, this really comes in handy...😌😌
gr8 help, I was struggling for entire day
Thank you for the Piece of advise at the end,Yes.practice while watching is best way to learn.Thank you.
Yup, without practice it is just a waste of time !
Eagerly waiting for Machine learning tutorials. Thank You.
Fantastic video! You are a genius! Thanks for teaching!
this is the perfect video for melting. thankyou
This was so helpful, thank you!
Super way of Explanation 👌
Thanks. You got me out of a bind. This was very well done.
Your tutorials are very very helpful!!!! Thank you!
Glad it was helpful!
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!
I am happy this was helpful to you.
Thank you so much for your good explanation!
Oh gosh if I could I'd given you 1000 likes haha Thank you so much !!!
clear, nice and effective video! thanks Mr.!
Extremely helpful. Thank you so much.
My gush, I finally understand melt :D thanks!
Great!
Thanks sir you are simply great
It was very helpful.....thanks 🌺
Glad it was helpful!
Sir can you make some tutorials on tensorflow
Thanks for sharing the knowledge ☺️
Awesomeeee understood it easily
You can see mine too. The playlist for Python and R give step by step aranged tutorials, with detailed source files.
That was very helpful, thanks a lot!
Glad to hear that!
Thank you, so helpful.
Very Usefull..Thank you
Glad it was helpful!
Great video, thank you sir.
👍👍 very nice sir
Is there any difference if I am using pd.melt(df) or df.melt()?
Plzz advice me how to get samples onn pro rata basis
please which algorithm id facebook currently using for their news feed
Is there an inverse function to melt()?
always helping ;=D
Hi sir, is this the last video on pandas or any upcoming?
you are the best
thanks soufiane for your kind words
how to revert back to the original df?
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?
Sir, please try using df.loc[:,['col1','col2']]
Is this not an 'inplace' operator?
Thank you :)
Thanks ❤🐼
id_vars?
you said it to be on X axis but dates are on Y axis
you spoke wrong it is is a column identifier variable so its in column
Thanks sir
waiting for Machine Learning tutorials
THANKS
thanks a lot!
Provide the code of melt function
Most of people here are because of error. 😂😂😂😂
how to reshape a data from (4,5) to (4,)
did you got the solution
This is Unpivot operation
I love you.
df1=df.melt(df, id_vars=['days']) is throwing an error!
ERROR : melt() got multiple values for argument 'id_vars'
df1=pd.melt(df,id_vars=['days'])
melt = unpivot
Thank you so much! Explained beautifully
Thanks a lot!
You're welcome!