Комментарии:
Thank you! You saved me from using pySpark
ОтветитьWhat a God you are!
Ответитьy con un csv que se tiene en drive?
ОтветитьThis is awesome!
ОтветитьIncredibly helpful and clearly explained. Thank you!
ОтветитьI know this is a python tutorial but for what it's worth, the equivalent in powershell: @{Names = (Import-Csv names.csv)} | ConvertTo-Json
ОтветитьVery clear, very helpful, very simple, very GREAT.
ОтветитьThis video solved a myriad of problems, thanks
ОтветитьHello. This method is not working for csv file with larger number of rows and columns. Can someone please assist?
ОтветитьThanks for the tutorial. Even after 2 years, this video was useful. Now I can use this to create api's
ОтветитьThnak you , at most about last minute without "names"
Ответитьthank you so much
ОтветитьHey , how to make multiple keys ?? Like :
{ "AB" :
{ "..." :
{ "..." :
{"..." , "....." }
}
}
}
can you convert csv to arff data format ?
ОтветитьHi Thanks for this but how could I limit the size as Im using a large dataset and only really want about 1000 records.
ОтветитьGreat tutorial, do you have another where you go into more nested dictionaries?
ОтветитьThanks for this tutorial, what if our CSV file had more rows and we wanted to append some of the rows to form nested dictionaries.
ОтветитьIs this method okay for when working with large set of data. I mean getting the row number might not be always easy
ОтветитьAwesome !!! Much thanks mate
Ответитьwhat IDE are you using?
ОтветитьText size is very small. Difficult to read text on mobile screen.
ОтветитьVery Nice, It helped me a lot. Thank you so much
ОтветитьSir what we want to do if we want to convert only particular columns of csv file into json. plz reply quickly
ОтветитьOMG!! thank you... Just what I needed it
ОтветитьHi, its a great code but I have a question here, If I want the output as {Bob:28, Fred:32, Jim:35}.... Don't want the header as keys.......just want both the columns as keys and values in one dictionary. How can I do that?
ОтветитьThanks for your video
ОтветитьAwesome. Thank you very much.
In the json output I noticed that the numbers are like strings. How can I make numbers as integers (without quotations in the json output)?
Hi! Thanks for the video. I have one error when I try to read the json "'utf-8' codec can't decode byte 0xff in position 0: invalid start byte". Could you help me? Thanks
ОтветитьThis saved me so much time thank you so much! please consider some sort of tip jar so I can contribute and support your efforts.
ОтветитьThanks for your video, the only problem I am facing here is after the conversion, the order of the fields is not maintained in JSON file as of CSV. Do you have any workaround on that?
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