pd.set_option('display.max_rows', 1000) x = np.random.rand(1000,3) display(pd.DataFrame(x)) It shows me the entire table, but I was wondering if there is an option in Pandas to limit the vertical size of the output table & add a vertical scroll bar to allow better viewing. Browse to the folder in which you would like to create your first notebook, click the “New” drop-down button in the top-right and select “Python 3”: Hey presto, here we are! Your first Jupyter Notebook will open in new tab — each notebook uses its own tab because you can open multiple notebooks simultaneously. In the Jupiter notebook, we can use a color marker to print the output in different colors There are three ways that we can use a color marker. let's see how to print a yellow color in a notebook. print('\033[93m output') Split Cells Notebook — Enables split cells in Jupyter notebooks. Enter command mode and use Shift + S to toggle the current cell to either a split cell or full width. Table of Contents — This extension enables you to collect all running headers and display them in a floating window, as a sidebar, or with a navigation menu. If you like to restore previous display options after given cell or piece of code than you can use method reset_option: pd.reset_option('display.max_rows') Step 6: Increase Jupyter Notebook cell width. If you have a big monitor you may want to increase the cell width of Jupyter Notebook to use maximum visual space. This can be done by: 1 Answer. If you were using the typical way to view a dataframe in Jupyter (see my puzzelment about your screenshot in my comments to your original post) it would be things like this: with pd.option_context ('display.max_rows', None, 'display.max_columns', None): display (df) (Note that will work with the text-based viewing, too. aGkFz. 1 Answer. If you were using the typical way to view a dataframe in Jupyter (see my puzzelment about your screenshot in my comments to your original post) it would be things like this: with pd.option_context ('display.max_rows', None, 'display.max_columns', None): display (df) (Note that will work with the text-based viewing, too. Jupyter notebook supports scrollable output by default; Jupyter Lab supports non-scrollable output by default (similar to VS Code, without the link) Shift+O should be hooked up to toggle between the two views; Jupyter notebook and lab have generous margins on the left and right which can be used as a place to put the mouse to avoid scrolling Export to PDF with nbconvert. If you aim at a native conversion from ipynb format to pdf, the nice old nbconvert tool is your friend. It usually comes together with Jupyter and can be invoked conveniently in the menu of JupyterLab File->Export Notebook As->PDF or, in the classic Jupyter Notebook interface, File->Download as->PDF (via LaTeX). in short, it'll spit out a text representation of whatever you put in, and put that in the cell's output. but that's it; it only does text. display is IPython's special-sauce function (see the ipython docs). it's a lot like print, in that 1. you put stuff in and 2. it'll put a representation of the stuff in the cell's output. Run a code cell using Shift-Enter or pressing the button in the toolbar above: [1]: a = 10. [2]: print(a) 10. There are two other keyboard shortcuts for running code: Alt-Enter runs the current cell and inserts a new one below. Ctrl-Enter run the current cell and enters command mode.

jupyter notebook display full output