As far as I know, the kernel doesn't know anything about the open notebook.
The notebook file might not even be on the same machine as the kernel.
But, dataframes should already be display'able in a nice way in the
notebook. Is there something missing from the default functionality?
On Tuesday, July 11, 2017 at 5:52:46 PM UTC-5, Sterling Paramore wrote:
>
> Thanks Brian,
>
> I guess I wasn't clear enough. I want to be able to execute code within a
> cell that gets the JSON for the current notebook. Here's the best I can do
> currently. It almost works, but I don't know how to get the name of the
> current notebook:
>
> ```
> import nbformat
>
> fp = open('TheNameOfThisWorkbook.ipynb')
> nb = nbformat.read(fp, 4)
>
> for cell in nb['cells']:
> print('---')
> print(cell)
> ```
>
>
> On Tue, Jul 11, 2017 at 3:34 PM, Brian Granger <[email protected]
> <javascript:>> wrote:
>
>> In the file browser of JupyterLab, right click on the file and "Open
>> With" the "Editor"
>>
>> On Tue, Jul 11, 2017 at 3:31 PM, Sterling Paramore <[email protected]
>> <javascript:>> wrote:
>> > Is there a way to get the JSON representation of a notebook that is
>> > currently open that could be passed to nbformat?
>> >
>> > I'm trying to create a pandas dataframe from a markdown cell with a
>> table in
>> > it. This is kind of a hack workaround for having some way of easily
>> editing
>> > and pretty-printing dataframes within a notebook.
>> >
>> > Thanks,
>> > Sterling
>> >
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>>
>> --
>> Brian E. Granger
>> Associate Professor of Physics and Data Science
>> Cal Poly State University, San Luis Obispo
>> @ellisonbg on Twitter and GitHub
>> [email protected] <javascript:> and [email protected] <javascript:>
>>
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