As mentioned on a related post: With the new version of ipywidgets, I ran into this problem, but then I found on their github readme that you now need to follow. pip install ipywidgets. with. jupyter nbextension enable --py widgetsnbextension. Share. Improve this answer. Follow. answered Oct 23, 2020 at 1:42. Add the following to ipython_config.py (find it by ipython locate profile ): c.PlainTextFormatter.max_width = 120. which will allow the pretty printer to use less vertical space by allowing lines to extend out to 120 characters rather than the default of 79. Share. 14. Point mouse cursor in the blank area (usually white) on the left side of the output part of the cell, then click. Each click will toggle the status of the output area between semi-collapse and full-expand. You can double-click to toggle between full-collapse and full-expand. Share. Follow. edited Mar 2 at 10:55. answered Oct 26, 2016 at 0:25. 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 I choose text/plain as the renderer - I obviously get plain text that is useless and uninteractive. (Like in the first output in the screenshot) If I choose the Jupyter IPyWidget Renderer - I get an empty output. VS Code - Screenshot of the menu (allows choosing one of the two renderers) Here's the code of the problematic cell: Double-check the settings at "Settings" -> "Site" and make sure "New notebooks use private outputs (omit outputs when saving)" is disabled. Similarly, check also "Edit" -> "Notebook settings" and make sure "Omit code cell output when saving this notebook" is disabled. Yes, these are two separate settings. Retry 1# if it didn't work before after import pandas as pd pd.set_option('display.max_columns', None) from IPython.display import display creating a frame then a simple for loop to display every 30 cols. df = pd.DataFrame([range(200)]) cols = df.shape[1] for i in range(0,cols,30): display(df.iloc[:,i:i+30]) EDIT: Forgot to add a pic of the output Last year when I fit a datset to a KMeans function in Jupyter Notebook script, the cell output displayed full function arguments of KMeans on execution. But recently I ran the code lines again, and the output is displayed with extremely curtailed info. I want the full info to be displayed, like it did earlier. How can I make that happen? Code: model=KMeans(n_clusters=4,random_state=9) model I just discovered that tabulate has a HTML option and is rather simple to use.. Update: As of Jupyter v6 and later, the returned table should just render via the output cell: The Python interfaces that your code in the notebook uses is part of IPython. Jupyter is the language-independent pieces, like the notebook UI and document format. Jupyter is the language-independent pieces, like the notebook UI and document format. S00cU0.