[ANN] Jupyter Notebook 6.1.0 is available!

Kevin Bates

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Jul 31, 2020, 4:58:36 PM7/31/20

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The Notebook 6.1.0 release is now available! You can catch up on the changes here.

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

Damián Avila

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Aug 4, 2020, 3:15:24 PM8/4/20

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Congrats on the release, Kevin!

And thanks to all those contributors for their hard work.

Best,

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Damián Avila

Stef

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Aug 17, 2020, 5:58:46 PM8/17/20

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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

Kevin Bates

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Aug 17, 2020, 6:23:21 PM8/17/20

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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.

Stef

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Aug 18, 2020, 2:48:50 AM8/18/20

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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

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Kevin Bates

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Aug 18, 2020, 9:50:31 AM8/18/20

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(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.

Stef

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Aug 18, 2020, 1:21:36 PM8/18/20

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The testprogram is just 4 lines long and the problem comes from the firstline.

If you comment out the first line, the figure is drawn correctly (but not interactive)

program

%matplotlib notebook
import pandas as pd
Data = pd.DataFrame ( [ 1,2,6,8,9 ] )
Data.plot ()

!pip freeze

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Carol Willing

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Aug 18, 2020, 2:56:52 PM8/18/20

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I'm seeing the same behavior when running within a python virtual environment.

Here's a link to the test notebook as a gist: https://gist.github.com/willingc/98a9c591e7ce9e8fee5cc811a5e307f7

I'm seeing an exception in the Console

Exception inside the 'handler_close' callback: TypeError: Cannot read property '_remove_fig_handler' of undefined
at mpl.figure.handle_close (eval at append_javascript (outputarea.js:763), <anonymous>:706:49)
at Object.socket_on_message [as onmessage] (eval at append_javascript (outputarea.js:763), <anonymous>:521:17)
at eval (eval at append_javascript (outputarea.js:763), <anonymous>:671:12)
at Comm._callback (comm.js:194)
at Comm.handle_msg (comm.js:202)
at comm.js:132 TypeError: Cannot read property '_remove_fig_handler' of undefined
at mpl.figure.handle_close (eval at append_javascript (http://localhost:8888/static/notebook/js/main.min.js?v=fd76f62c63dfcfdb33c73b0d15290316:45772:13), <anonymous>:706:49)
at Object.socket_on_message [as onmessage] (eval at append_javascript (http://localhost:8888/static/notebook/js/main.min.js?v=fd76f62c63dfcfdb33c73b0d15290316:45772:13), <anonymous>:521:17)
at eval (eval at append_javascript (http://localhost:8888/static/notebook/js/main.min.js?v=fd76f62c63dfcfdb33c73b0d15290316:45772:13), <anonymous>:671:12)
at Comm._callback (http://localhost:8888/static/notebook/js/main.min.js?v=fd76f62c63dfcfdb33c73b0d15290316:47531:24)
at Comm.handle_msg (http://localhost:8888/static/notebook/js/main.min.js?v=fd76f62c63dfcfdb33c73b0d15290316:47539:21)

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Kevin Bates

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Aug 18, 2020, 3:23:37 PM8/18/20

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Interesting. I don't see an issue (image attached). Seems like an issue should be opened on Notebook and can be looked at further from there. I cannot help with issues coming from the front-end. The chart does take forever (guessing close to 60 seconds) to display though.

Here's the output of "!pip freeze":

appnope==0.1.0

argon2-cffi==20.1.0

attrs==19.3.0

backcall==0.2.0

bleach==3.1.5

certifi==2020.6.20

cffi==1.14.2

chardet==3.0.4

coverage==5.2.1

cycler==0.10.0

decorator==4.4.2

defusedxml==0.6.0

entrypoints==0.3

idna==2.10

importlib-metadata==1.7.0

iniconfig==1.0.1

ipykernel==5.3.4

ipython==7.17.0

ipython-genutils==0.2.0

jedi==0.17.2

Jinja2==2.11.2

jsonschema==3.2.0

jupyter-client==6.1.6

jupyter-core==4.6.3

kiwisolver==1.2.0

MarkupSafe==1.1.1

matplotlib==3.3.1

mistune==0.8.4

more-itertools==8.4.0

nbconvert==5.6.1

nbformat==5.0.7

nbval==0.9.6

nose==1.3.7

nose-exclude==0.5.0

nose-warnings-filters==0.1.5

notebook==6.1.3

numpy==1.19.1

packaging==20.4

pandas==1.1.0

pandocfilters==1.4.2

parso==0.7.1

pexpect==4.8.0

pickleshare==0.7.5

Pillow==7.2.0

pluggy==0.13.1

prometheus-client==0.8.0

prompt-toolkit==3.0.6

ptyprocess==0.6.0

py==1.9.0

pycparser==2.20

Pygments==2.6.1

pyparsing==2.4.7

pyrsistent==0.16.0

pytest==6.0.1

pytest-cov==2.10.0

python-dateutil==2.8.1

pytz==2020.1

pyzmq==19.0.2

requests==2.24.0

requests-unixsocket==0.2.0

selenium==3.141.0

Send2Trash==1.5.0

six==1.15.0

terminado==0.8.3

testpath==0.4.4

toml==0.10.1

tornado==6.0.4

traitlets==4.3.3

urllib3==1.25.10

wcwidth==0.2.5

webencodings==0.5.1

zipp==3.1.0

Screen Shot 2020-08-18 at 12.17.35 PM.png

Kevin Bates

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Aug 18, 2020, 8:23:59 PM8/18/20

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FWIW, I created a fresh environment using Carol's freeze list and Python 3.8 (I had originally used 3.7) and still cannot reproduce it on Chrome or FireFox.

Carol Willing

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Aug 19, 2020, 11:05:18 AM8/19/20

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Thanks Kevin. I was able to get the example working with interactivity on Chrome if I disabled/removed all installed extensions.

To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/33a30c0c-2a36-4254-9e3f-599570832455n%40googlegroups.com.

Stef

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Aug 21, 2020, 6:20:29 AM8/21/20

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after running a general update on jupyter

conda update jupyter

the problem was solved.

thanks guys,

To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/CAM3Vvhw5vT7zh20wo-2%3DN73QFgJ%3DFR_9ogw4SSU2X-oyyV%2Bqjw%40mail.gmail.com.

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