after running a general update on jupyter
conda update jupyter
the problem was solved.
thanks guys,
On 2020-08-19 17:05, Carol Willing wrote:
Thanks Kevin. I was able to get the example working with interactivity
on Chrome if I disabled/removed all installed extensions.
On Tue, Aug 18, 2020 at 5:24 PM Kevin Bates <[email protected]
<mailto:[email protected]>> wrote:
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.
On Tuesday, August 18, 2020 at 12:23:37 PM UTC-7 Kevin Bates wrote:
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
On Tuesday, August 18, 2020 at 11:56:52 AM UTC-7
[email protected] wrote:
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)
On Tue, Aug 18, 2020 at 10:21 AM Stef
<[email protected]> wrote:
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*
alabaster==0.7.12
anaconda-client==1.7.2
anaconda-navigator==1.9.12
anaconda-project==0.8.3
argh==0.26.2
argon2-cffi @
file:///home/conda/feedstock_root/build_artifacts/argon2-cffi_1590329924553/work
asn1crypto @
file:///home/conda/feedstock_root/build_artifacts/asn1crypto_1595949944546/work
astroid==2.3.3
astropy==4.0.1.post1
atomicwrites==1.4.0
attrs==19.3.0
autopep8 @
file:///tmp/build/80754af9/autopep8_1592412889138/work
Babel==2.8.0
backcall==0.2.0
backports.functools-lru-cache==1.6.1
backports.shutil-get-terminal-size==1.0.0
backports.tempfile==1.0
backports.weakref==1.0.post1
beautifulsoup4==4.9.1
bitarray @
file:///tmp/build/80754af9/bitarray_1596108526825/work
bkcharts==0.2
bleach==3.1.5
bokeh @
file:///tmp/build/80754af9/bokeh_1593187586470/work
boto==2.49.0
Bottleneck==1.3.2
brotlipy==0.7.0
certifi==2020.6.20
cffi @
file:///home/conda/feedstock_root/build_artifacts/cffi_1595805535531/work
chardet==3.0.4
click==7.1.2
cloudpickle @
file:///tmp/build/80754af9/cloudpickle_1594141588948/work
clyent==1.2.2
colorama==0.4.3
conda==4.8.3
conda-build==3.19.2
conda-package-handling==1.7.0
conda-verify==3.4.2
configobj==5.0.6
contextlib2==0.6.0.post1
cryptography @
file:///home/conda/feedstock_root/build_artifacts/cryptography_1595348769214/work
cycler==0.10.0
Cython @
file:///tmp/build/80754af9/cython_1594831564311/work
cytoolz==0.10.1
dask @
file:///home/conda/feedstock_root/build_artifacts/dask-core_1596244567871/work
decorator==4.4.2
defusedxml==0.6.0
dialite==0.5.2
diff-match-patch @
file:///tmp/build/80754af9/diff-match-patch_1594828741838/work
distributed @
file:///home/conda/feedstock_root/build_artifacts/distributed_1596245653827/work
docutils==0.16
entrypoints==0.3
et-xmlfile==1.0.1
fastcache==1.1.0
filelock==3.0.12
flake8==3.8.3
Flask==1.1.2
flatten-json @
file:///home/conda/feedstock_root/build_artifacts/flatten_json_1594796029827/work
flexx==0.8.0
fsspec @
file:///home/conda/feedstock_root/build_artifacts/fsspec_1596221475257/work
future==0.18.2
gevent @
file:///tmp/build/80754af9/gevent_1593009958030/work
glob2==0.7
gmpy2==2.1.0b1
greenlet==0.4.16
h5py @ file:///tmp/build/80754af9/h5py_1593454119955/work
HeapDict==1.0.1
html5lib @
file:///tmp/build/80754af9/html5lib_1593446221756/work
idna @ file:///tmp/build/80754af9/idna_1593446292537/work
imagecodecs @
file:///home/conda/feedstock_root/build_artifacts/imagecodecs_1593295475914/work
imageio @
file:///tmp/build/80754af9/imageio_1594161405741/work
imagesize==1.2.0
importlib-metadata @
file:///tmp/build/80754af9/importlib-metadata_1593446408836/work
iniconfig @
file:///home/conda/feedstock_root/build_artifacts/iniconfig_1596221474428/work
intervaltree @
file:///tmp/build/80754af9/intervaltree_1594361675072/work
ipykernel @
file:///tmp/build/80754af9/ipykernel_1596206598566/work/dist/ipykernel-5.3.4-py3-none-any.whl
ipysheet==0.4.3
ipython @
file:///home/conda/feedstock_root/build_artifacts/ipython_1596256318236/work
ipython-genutils==0.2.0
ipywidgets==7.5.1
isort==4.3.21
itsdangerous==1.1.0
jdcal==1.4.1
jedi @ file:///tmp/build/80754af9/jedi_1592841891421/work
jeepney==0.4.3
Jinja2==2.11.2
joblib @
file:///tmp/build/80754af9/joblib_1594236160679/work
json5==0.9.5
jsonschema @
file:///tmp/build/80754af9/jsonschema_1594363551272/work
jupyter==1.0.0
jupyter-client @
file:///tmp/build/80754af9/jupyter_client_1594826976318/work
jupyter-console==6.1.0
jupyter-contrib-core==0.3.3
jupyter-contrib-nbextensions==0.5.1
jupyter-core==4.6.3
jupyter-highlight-selected-word==0.2.0
jupyter-latex-envs==1.4.6
jupyter-nbextensions-configurator @
file:///home/conda/feedstock_root/build_artifacts/jupyter_nbextensions_configurator_1594127094771/work
jupyterlab==2.2.2
jupyterlab-server @
file:///tmp/build/80754af9/jupyterlab_server_1594164409481/work
keyring @
file:///tmp/build/80754af9/keyring_1593109704604/work
kiwisolver==1.2.0
lazy-object-proxy @
file:///home/conda/feedstock_root/build_artifacts/lazy-object-proxy_1595435532940/work
libarchive-c==2.9
llvmlite==0.33.0+1.g022ab0f
locket==0.2.0
lxml @
file:///home/conda/feedstock_root/build_artifacts/lxml_1594322698782/work
MarkupSafe @
file:///tmp/build/80754af9/markupsafe_1594371495811/work
matplotlib @
file:///home/conda/feedstock_root/build_artifacts/matplotlib-base_1595353122123/work
mccabe==0.6.1
meteocalc==1.1.0
mistune @
file:///tmp/build/80754af9/mistune_1594373098390/work
mkl-fft==1.1.0
mkl-random==1.1.1
mkl-service==2.3.0
mock==4.0.2
more-itertools==8.4.0
mpmath==1.1.0
msgpack==1.0.0
multipledispatch==0.6.0
navigator-updater==0.2.1
nbconvert @
file:///tmp/build/80754af9/nbconvert_1594376811065/work
nbformat==5.0.7
networkx @
file:///tmp/build/80754af9/networkx_1594377231366/work
nltk @ file:///tmp/build/80754af9/nltk_1592496090529/work
nose @ file:///tmp/build/80754af9/nose_1594377616924/work
notebook @
file:///home/conda/feedstock_root/build_artifacts/notebook_1596225293416/work
numba==0.50.1
numexpr==2.7.1
numpy @
file:///tmp/build/80754af9/numpy_and_numpy_base_1596233707986/work
numpydoc @
file:///tmp/build/80754af9/numpydoc_1594166760263/work
olefile==0.46
openpyxl @
file:///tmp/build/80754af9/openpyxl_1594167385094/work
packaging==20.4
paho-mqtt==1.5.0
pandas @
file:///home/conda/feedstock_root/build_artifacts/pandas_1595958445836/work
pandocfilters==1.4.2
parso==0.7.0
partd==1.1.0
path @
file:///home/conda/feedstock_root/build_artifacts/path_1595896292270/work
pathlib2 @
file:///tmp/build/80754af9/pathlib2_1594380969706/work
pathtools==0.1.2
patsy==0.5.1
pep8==1.7.1
pexpect @
file:///tmp/build/80754af9/pexpect_1594383317248/work
pickleshare @
file:///tmp/build/80754af9/pickleshare_1594384075987/work
Pillow @
file:///tmp/build/80754af9/pillow_1594307325547/work
pkginfo==1.5.0.1
pluggy==0.13.1
ply==3.11
prometheus-client==0.8.0
prompt-toolkit==3.0.5
pscript @
file:///home/conda/feedstock_root/build_artifacts/pscript_1589197636232/work
psutil @
file:///home/conda/feedstock_root/build_artifacts/psutil_1594826921622/work
ptyprocess==0.6.0
py @ file:///tmp/build/80754af9/py_1593446248552/work
pyasn1==0.4.8
pycodestyle==2.6.0
pycosat==0.6.3
pycparser @
file:///tmp/build/80754af9/pycparser_1594388511720/work
pycrypto==2.6.1
pycurl==7.43.0.5
pydocstyle @
file:///tmp/build/80754af9/pydocstyle_1592848020240/work
pyflakes==2.2.0
Pygments==2.6.1
pylint==2.4.4
pyodbc===4.0.0-unsupported
pyOpenSSL @
file:///tmp/build/80754af9/pyopenssl_1594392929924/work
pyparsing==2.4.7
Pypubsub==4.0.3
PyQt5==5.12.3
PyQt5-sip==4.19.18
PyQtChart==5.12
pyqtgraph @
file:///tmp/build/80754af9/pyqtgraph_1594064840332/work
PyQtWebEngine==5.12.1
pyrsistent==0.16.0
pyserial @
file:///tmp/build/80754af9/pyserial_1594419199743/work
pysmb==1.2.1
PySocks @
file:///tmp/build/80754af9/pysocks_1594394576006/work
pytest==6.0.1
python-dateutil==2.8.1
python-jsonrpc-server @
file:///tmp/build/80754af9/python-jsonrpc-server_1594397536060/work
python-language-server @
file:///tmp/build/80754af9/python-language-server_1594161909876/work
pytz==2020.1
PyWavelets==1.1.1
pyxdg==0.26
PyYAML==5.3.1
pyzmq==19.0.2
QDarkStyle==2.8.1
QtAwesome==0.7.2
qtconsole @
file:///tmp/build/80754af9/qtconsole_1592848611704/work
QtPy==1.9.0
regex @
file:///home/conda/feedstock_root/build_artifacts/regex_1594799371287/work
requests @
file:///tmp/build/80754af9/requests_1592841827918/work
rope==0.17.0
Rtree==0.9.4
ruamel-yaml==0.15.87
scikit-image==0.17.2
scikit-learn @
file:///tmp/build/80754af9/scikit-learn_1592502882224/work
scipy @
file:///tmp/build/80754af9/scipy_1592930510235/work
seaborn==0.10.1
SecretStorage @
file:///tmp/build/80754af9/secretstorage_1594419219833/work
Send2Trash==1.5.0
simplegeneric==0.8.1
singledispatch==3.4.0.3
sip==4.19.23
six==1.15.0
snowballstemmer==2.0.0
sortedcollections==1.2.1
sortedcontainers==2.2.2
soupsieve==2.0.1
Sphinx @
file:///tmp/build/80754af9/sphinx_1594223420021/work
sphinxcontrib-applehelp==1.0.2
sphinxcontrib-devhelp==1.0.2
sphinxcontrib-htmlhelp==1.0.3
sphinxcontrib-jsmath==1.0.1
sphinxcontrib-qthelp==1.0.3
sphinxcontrib-serializinghtml==1.1.4
sphinxcontrib-websupport @
file:///tmp/build/80754af9/sphinxcontrib-websupport_1593446360927/work
spyder @
file:///tmp/build/80754af9/spyder_1594830385602/work
spyder-kernels @
file:///home/conda/feedstock_root/build_artifacts/spyder-kernels_1595628911160/work
SQLAlchemy @
file:///tmp/build/80754af9/sqlalchemy_1593446303748/work
ssterm==3.0.0
statsmodels==0.11.1
sympy @
file:///tmp/build/80754af9/sympy_1594236544199/work
tables==3.6.1
tblib==1.6.0
terminado==0.8.3
testpath==0.4.4
threadpoolctl @
file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tifffile @
file:///home/conda/feedstock_root/build_artifacts/tifffile_1595673894086/work
toml @ file:///tmp/build/80754af9/toml_1592853716807/work
toolz==0.10.0
tornado==6.0.4
tqdm @
file:///home/conda/feedstock_root/build_artifacts/tqdm_1594937875116/work
traitlets==4.3.3
typed-ast==1.4.1
typing-extensions @
file:///tmp/build/80754af9/typing_extensions_1592847887441/work
ujson==1.35
unicodecsv==0.14.1
urllib3 @
file:///home/conda/feedstock_root/build_artifacts/urllib3_1595434816409/work
watchdog @
file:///tmp/build/80754af9/watchdog_1593447306189/work
wcwidth @
file:///tmp/build/80754af9/wcwidth_1593447189090/work
webencodings==0.5.1
webruntime @
file:///home/conda/feedstock_root/build_artifacts/webruntime_1589191956213/work
Werkzeug==1.0.1
widgetsnbextension==3.5.1
wrapt==1.12.1
wurlitzer @
file:///tmp/build/80754af9/wurlitzer_1594751868473/work
wxPython==4.0.7.post2
xlrd==1.2.0
XlsxWriter @
file:///home/conda/feedstock_root/build_artifacts/xlsxwriter_1596074457340/work
xlwt==1.3.0
xmltodict==0.12.0
yapf @ file:///tmp/build/80754af9/yapf_1593528177422/work
zict==2.0.0
zipp==3.1.0
zope.event==4.4
zope.interface==5.1.0
On 2020-08-18 15:50, Kevin Bates wrote:
(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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