(I've updated the subject line.)

A reproducible scenario is always helpful.  
Could you also please include the output of `pip freeze` from the 
environment in which your kernel is running?

Thank you.
On Monday, August 17, 2020 at 11:48:50 PM UTC-7 [email protected] wrote:

> hi Kevin,
>
> thanks for your fast response.
>
> I don't know which version of Jupyter I was running before.
>
> I just run the (exact same) code from the spyder IDE, in the same Python 
> Environment (3.7.8), and there the plot is shown in the correct way:
>
> If interesting, I think I can make a Jupyter program of less then 10 lines 
> that shows the problem.
>
> greetings,
>
> Stef
>
>
> On 2020-08-18 00:23, Kevin Bates wrote:
>
> Hi Stef,
>
> It's certainly possible there could be a bug introduced in 6.1.  However, 
> this kind of thing strikes me as something related to the kernel and how it 
> renders output.  That said, I've been surprised before as to what the 
> front-end does beyond just issuing the cell's contents to the kernel.
>
> I would first ensure the kernel (ipython, ipykernel) and plotting (?) 
> packages are the same as when things appeared to work previously (was that 
> with Notebook 6.0.3?).
>
> Also, perhaps someone with some front-end expertise could chime in here - 
> might something on the front-end have triggered this change in behavior?
>
> Thanks,
> Kevin.
>
> On Monday, August 17, 2020 at 2:58:46 PM UTC-7 [email protected] wrote:
>
>> Thanks for the new release.
>>
>> Is it possible that in this new version a bug is introduced in panda's 
>> plot routine ?
>>
>> The problem is that only a small upper left part is displayed
>>
>> I'm not an expert, but why I think Jupyter Notebook is causing the 
>> problem, is that even in saved noteooks the problem occures.
>>
>> greetings, Stef
>>
>>
>> On 2020-07-31 22:58, Kevin Bates wrote:
>>
>> The Notebook 6.1.0 release is now available!  You can catch up on the 
>> changes here 
>> <https://jupyter-notebook.readthedocs.io/en/latest/changelog.html#release-6-1-0)>
>> .  
>>
>> This release culminates in a substantial community effort with nearly 60 
>> different contributors. Thank you to all those that contributed, raised 
>> issues, and participated in its success!
>>
>> To get 6.1.0:
>>
>> For pip-managed installations:
>> new: pip install notebook
>> existing: pip install --upgrade notebook
>>
>> For conda-managed installations:
>> new: conda install -c conda-forge notebook
>> existing: conda update -c conda-forge notebook
>>
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