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This repository has been archived by the owner on Aug 17, 2024. It is now read-only.
Hi,
firstly thanks for this great library.
I am wondering if there is a way to modify rows inplace.
Each time using
df.setRow(1, row => row.set("y", 33))
to set column "y" in row 1 to value 33
a new dataframe object is created.
Is there a way to avoid this and directly modify the existing object?
Thanks!
The text was updated successfully, but these errors were encountered:
I have added a new method DataFrame.setRowInPlace (with the same usage) mutating directly the existing DataFrame on the develop branch (you can switch on it to test).
Hi,
firstly thanks for this great library.
I am wondering if there is a way to modify rows inplace.
Each time using
df.setRow(1, row => row.set("y", 33))
to set column "y" in row 1 to value 33
a new dataframe object is created.
Is there a way to avoid this and directly modify the existing object?
Thanks!
The text was updated successfully, but these errors were encountered: