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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