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
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
Good initiative
Thank you!!
Nice explanation bro 👍 👌 👏
Thank you
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
Sure kamesh.. Kindly check 2,3 video of this playlist
bro , do you have git hub link to access notebooks ?
No sir
thank you
Thanks
Pipe ki jaga agr comma rehta to maza aur ata 😅
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
Use df1.unionByName(df2,allowMissingColumns=True).unionByName(df3,allowMissingColumns=True)