How to handle R kernel tibble in Jupyter lab .ipynb file to display limited row results?

Question

I am trying using R Kernel in jupyter lab and getting 1000's of rows or more displaying when results are tibble, this makes my browser crash sometimes.

How do i limit these so that it doesn't make my browser crash and works as smoothly as in Rstudio?

I am using below versions:

jupyter lab: Version 2.2.6

R: R version 4.0.3

Answer 1

Not exactly a proper solution but a way around that I tried is to pipe the results to print and mention number of rows there: validaton_splits %>% print(n=1) .