6. How to handle multi delimiters| Top 10 PySpark Scenario Based Interview Question|

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[@AkilanXtremer]

Good initiative

[@GeekCoders]

Thank you!!

[@kameshrawat8504]

Could you please try to explain new functions as well for example the explode function. When you are using it please explain quicky what function does. Just a suggestion

[@GeekCoders]

Sure kamesh.. Kindly check 2,3 video of this playlist

[@sravankumar1767]

Nice explanation bro 👍 👌 👏

[@GeekCoders]

Thank you

[@k.venkatsubbaiah1986]

bro , do you have git hub link to access notebooks ?

[@GeekCoders]

No sir

[@sanooosai]

thank you

[@GeekCoders]

Thanks

[@peterchowdhury]

Pipe ki jaga agr comma rehta to maza aur ata 😅

[@dinsan4044]

Hi, Could you please create a video to combine below 3 csv data files into one data frame dynamically File name: Class_01.csv StudentID Student Name Gender Subject B Subject C Subject D 1 Balbinder Male 91 56 65 2 Sushma Female 90 60 70 3 Simon Male 75 67 89 4 Banita Female 52 65 73 5 Anita Female 78 92 57 File name: Class_02.csv StudentID Student Name Gender Subject A Subject B Subject C Subject E 1 Richard Male 50 55 64 66 2 Sam Male 44 67 84 72 3 Rohan Male 67 54 75 96 4 Reshma Female 64 83 46 78 5 Kamal Male 78 89 91 90 File name: Class_03.csv StudentID Student Name Gender Subject A Subject D Subject E 1 Mohan Male 70 39 45 2 Sohan Male 56 73 80 3 shyam Male 60 50 55 4 Radha Female 75 80 72 5 Kirthi Female 60 50 55

[@GeekCoders]

Use df1.unionByName(df2,allowMissingColumns=True).unionByName(df3,allowMissingColumns=True)