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Thank you!
ОтветитьThanks so much it is very informative.
ОтветитьVery helpful
ОтветитьThe best video...i was searching in so many videos here and thanks to you I'm done:) MANY WISHESSSSS
ОтветитьHi, thank you! I have a problem while trying to convert 'missing' to int I have this error (IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer). Also my vs Code ipynb file won't recognise Int64: ..errors='coerce').astype(Int64)
ОтветитьThank you! I've watched a lot of videos, but it was yours that helped me at a certain point👍
ОтветитьThank youuuuuuuuuuuuuuuuuuuu!!!!!!!!!!!!!!!!!!!!
ОтветитьExplanation with rationale as to why we do it a certain way is exemplary
ОтветитьIt is not working with any of your suggestions please help
ОтветитьHow to convert high and low in float
ОтветитьHow to find out which of the columns are having a datatype object and convert them to string type ...i mean not specifically mentioning the column name..but by iterating and taking them automatically...PLS REPLY
ОтветитьThank you!
ОтветитьHello, I just want to ask what to do if a dataframe is displaying 1,500 even if the value on the excel is 1,500.00
Ответитьreally helpful bro... thanks for creating this video
ОтветитьIt's a nicely explained tutorial. 👍
ОтветитьYou completely skipped over the only column I cared about (missing) by saying "now we should be fully equipped to deal with this on our own".
Abysmal tutorial and teacher.
thank you so much..!!
ОтветитьThanks alot u save my life
ОтветитьThanks for this!
ОтветитьThank you so much for this! :)
ОтветитьCan you share the link to the video for converting column to datetime? It's not in your descriptions
Ответитьnice and short..thanks
ОтветитьThank you so much bro
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