🏈 Jupyter Notebook Display Full Output

Viewed 4k times. 1. I'm writing some IPython / Jupyter Notebooks which calculate and display a lot of SVG figures. As a minimal example, consider the following: Almost every time I reopen such notebooks (especially the big ones), their figures are replaced by a textual output: Of course, I could recalculate them by running all cells. There is a better way to change the cell width, which uses the jupyter-themes. Now we can use the command line to change the notebook theme: jt -t theme_name -f code_font -fs code_font_size -cellw 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 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. 2 Answers. A more concise traceback, often sufficient, can be obtained by wrapping the raising code in a try/except and printing the stack trace using traceback, e.g.: import traceback try: [].pop () # replace this line with your erroring code except: traceback.print_exc () For the example given above, the stack trace becomes much more readable: 29. Bear in mind that stderr is the default stream for the logging module, so in IPython and Jupyter notebooks you might not see anything unless you configure the stream to stdout: import logging import sys logging.basicConfig (format='% (asctime)s | % (levelname)s : % (message)s', level=logging.INFO, stream=sys.stdout) logging.info ('Hello 1 Answer. Sorted by: 0. The solution shown in the question you linked works for me, just execute. from IPython.core.interactiveshell import InteractiveShell InteractiveShell.ast_node_interactivity = "all". in the first cell, and then it will output each line's output as follows: a=5 a a a *2 >>> 5 >>> 5 >>> 10. Share. 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 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: Hence, using Jupyter Notebook to show the interactive visualization wouldn’t be the best choice. To transform the visualization on your Jupyter Notebook to a standalone dashboard, we can use Voila. Now if you haven’t installed Voila yet, you can install it using pip command as follows: pip install voila However, I would like to preserve the jupyter notebook default settings, and ONLY widen cells to 100%. Therefore, I run the following to restore default, set theme, then launch. jt -r jt -cellw 100% jupyter notebook However, that doesn't do anything; my notebook is still a default width and not 100% width of my screen. In my case, using notebook mode, this method still creates some empty space in the output cell, which clutters my notebook when doing multiple plots at once. I wrapped my plotting routine in a pair of plt.ioff() and plt.ion() and now there is no more clutter. .

jupyter notebook display full output