Jupyter Notebook 中的 Pandas Dataframe 表垂直滚动条

Question

I have a large (vertically) pandas Dataframe that I would like to display as a nice table with (vertical) scrollbars in a jupyter notebook in vs code .

I have come across post that addresses the solution, but it is 5 years old, so was wondering if there is now a better method. Here is the post: Pandas DataFrame Table Vertical Scrollbars

Right now I use the following to see all the data:

pd.set_option("display.max_rows", None)

But this shows all the rows which becomes problematic when, say >100 rows.

Just to be clear, i am looking for a scroll bar (as in the image):

Answer 1

I don't think there is a solution for the old jupyter. But for the successor JupyterLab it's quite easy. (Not just for DataFrames but for all outputs.)

It looks like this.

To reach this view in you have to make a right-click on the blue column and choose 'enable scrolling for Outputs'.

Btw: as you see I'm still using the pd.set_option("display.max_rows", None) .