2. I have an existing .ipynb notebook file that contains "outputs" entries for most of the cells. When I load this in VSCode (1.39.2, Python Extension 2019.10.44104), it does not load/show the "outputs" content. In my case, the content of the .ipynb is not reproducible (think platform-dependent timing data) so simply re-running the cells when I
9. I was using a jupyter notebook inside VSCode and used ?? on the object to look the source code. The output showed : Output exceeds the size limit. Open the full output data in a text editor. But when I click on it it opens the output in another window but everything is illegible.
Observe as the full text output in a JSON format and the useful "stack" information is obscured by unhelpful formatting. This makes it very difficult to see the full stack trace and debug code from a Jupyter notebook. VS Code version: Code 1.68.1 (30d9c6c, 2022-06-14T12:48:58.283Z) OS version: Windows_NT x64 10.0.19044 Restricted Mode: No
I tried changing the second snippet to: pd.set_option ('display.max_rows',None) pd.set_option ('display.max_columns',None) pd.set_option ('display.width',-1) I thought this would replicate the results of the first snippet, but it doesn’t seem to work. The first result is nice because it DOESN’T wrap the entire dataframe, but it DOES wrap

With the Jupyter extension Python Markdown it actually is possible to do exactly what you describe. Installation instructions can be found on the github page of nbextensions. Make sure you'll enable the python markdown extension using a jupyter command or the extension configurator.

To display Bokeh plots inline in a classic Jupyter notebook, use the output_notebook() function from bokeh.io instead of (or in addition to) the output_file() function. No other modifications are required. When you call show(), the plot will display inline in the next notebook output cell. See a screenshot of Jupyter below:
As1yr.
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    • jupyter notebook display full output