import pandas as pd from datascroller import scroll # Call `scroll` with a Pandas DataFrame as the sole argument: my_df = pd.read_csv ('') scroll (my_df) Tried using this in jupyter notebook, and it consistently killed the kernel. Hi @rbonallo, it is a tool for the terminal only.
The traditional Jupyter Notebook interface allows you to toggle output scrolling for your cells. This allows you to visualize part of a long output without it taking up the entire page. You can trigger this behavior in Jupyter Book by adding the following tag to a cell’s metadata: { "tags": [ "output_scroll", ] }
I'm running jupyter notebooks in VSCode and have a return of a very large json - too large to see it all in the jupyter notebook. When I prettyprint the json in VSCode, it shows some of the data, then: "show more (open the raw output data in a text editor) . . . "When I click on that, VSCode pops up a msg, "The window is not responding".
If the latter, the file can be either a script with .ipy extension, or a Jupyter notebook with .ipynb extension. When running a Jupyter notebook, the output from print statements and other displayed objects will appear in the terminal (even matplotlib figures will open, if a terminal-compliant backend is being used). An exception has occurred, use %tb to see the full traceback. error/warning followed by a single line of traceback. I want to see the full traceback as suggested. But I didn't understand what %tb is how and where I can use it. Is it an argument that I should've given to jupyter command or is it something I should've used in python code (sth