ipympl
ipympl copied to clipboard
matplotlib
Only "Loading widget..." but no Matplotlib figures (fresh install with conda)
Fresh install with conda (laptop with Ubuntu 18.04 => nothing to do with Docker).
Maybe related to #161 ?
Matplotlib figures do not show up and I get only
Loading widget...
[<matplotlib.lines.Line2D at 0x7fa9e8358e50>]
Standard installation with conda:
conda install -c conda-forge ipympl nodejs
jupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib
jupyter labextension list
JupyterLab v1.2.5
Known labextensions:
app dir: /home/marianne/miniconda3/share/jupyter/lab
@jupyter-widgets/jupyterlab-manager v1.1.0 enabled OK
jupyter-matplotlib v0.5.0 enabled OK
Note that ipywidgets seems to work fine. from ipywidgets import Button; Button(description='test') gives a button.
Could you provide the output of:
which jupyter
and
which python
Are you in a conda environment?
jupyter, jupyter-lab and python all in /home/marianne/miniconda3/bin.
I'm going to try in a conda environment.
Did you make sure to clear the browser cache? By restarting the browser or hard refreshing
Ah it works in an virtual environment...
I'm trying to compare the conda packages installed in base and in the virtual env, but there are of course many packages and it's not evident.
Python 3.7 for base and Python 3.8 for the venv. Same versions for all jupyter* packages...
Nodejs 11.14 for base and 13.7 in the venv...
I am not sure what is going wrong here... But I would suggest uninstalling everything from the base now, in order to reduce the chances to get conflicts between environments.
Hum, strange: ipympl=0.2.1 in base and ipympl=0.4.1=py_0 in venv !
After conda update -c conda-forge ipympl nodejs, it works!
I thought conda install updates the packages and it did not update them in this case.
It is also a mystery why I have such old packages in base (miniconda installed today). I may have done conda install matplotlib before conda config --add channels conda-forge, but it should not affect ipympl version (?)
Anyway, it is easy to get stuck in this problem...
From conda install -h:
Conda attempts to install the newest versions of the requested packages. To
accomplish this, it may update some packages that are already installed, or
install additional packages.
Then it explains why it did not work. jupyter labextension install jupyter-matplotlib will install the latest labextension available online, which is not compatible with ipympl 0.2.1...
We might want to update the README telling people to be careful about the labextension version.
I still don't understand why conda install -c conda-forge ipympl nodejs didn't not "install the newest versions of the requested packages".
I'm having a similar problem. When running the example I just get
Loading widget...
I'm in a conda environment (output of conda list below), and which python/jupyter/jupyter-lab all point to that conda environment. I've also tried closing and reopening the browser to clear the cache.
Any other ideas?
Output of conda list
# packages in environment at /home/tegn500/anaconda3/envs/py37:
#
# Name Version Build Channel
_anaconda_depends 2019.03 py37_0
_ipyw_jlab_nb_ext_conf 0.1.0 py37_0
_libgcc_mutex 0.1 main
aiohttp 3.6.2 pypi_0 pypi
alabaster 0.7.12 py37_0
anaconda custom py37_1
anaconda-client 1.7.2 py37_0
anaconda-navigator 1.9.7 py37_0
anaconda-project 0.8.3 py_0
animatplot 0.4.1 pypi_0 pypi
appdirs 1.4.3 py_1 conda-forge
asciitree 0.3.3 py_2 conda-forge
asn1crypto 1.0.1 py37_0
astroid 2.3.1 py37_0
astropy 3.2.2 py37h7b6447c_0
async-timeout 3.0.1 pypi_0 pypi
atomicwrites 1.3.0 py37_1
attrs 19.2.0 py_0
babel 2.7.0 py_0
backcall 0.1.0 py37_0
backports 1.0 py_2
backports.functools_lru_cache 1.6.1 py_0
backports.os 0.1.1 py37_0
backports.shutil_get_terminal_size 1.0.0 py37_2
backports.tempfile 1.0 py_1
backports.weakref 1.0.post1 py_1
beautifulsoup4 4.8.0 py37_0
bitarray 1.0.1 py37h7b6447c_0
bkcharts 0.2 py37_0
black 19.10b0 py37_0 conda-forge
blas 1.0 mkl
bleach 3.1.0 py37_0
blosc 1.16.3 hd408876_0
bokeh 1.4.0 py37_0
boto 2.49.0 py37_0
bottleneck 1.2.1 py37h035aef0_1
bzip2 1.0.8 h7b6447c_0
ca-certificates 2020.4.5.1 hecc5488_0 conda-forge
cairo 1.14.12 h8948797_3
certifi 2020.4.5.1 py37hc8dfbb8_0 conda-forge
cffi 1.12.3 py37h2e261b9_0
cftime 1.0.4.2 pypi_0 pypi
chardet 3.0.4 py37_1003
click 7.0 py37_0
cloudpickle 1.2.2 py_0
clyent 1.2.2 py37_1
colorama 0.4.1 py37_0
conda-package-handling 1.6.0 py37h7b6447c_0
conda-verify 3.4.2 py_1
configobj 5.0.6 pypi_0 pypi
contextlib2 0.6.0 py_0
cryptography 2.7 py37h1ba5d50_0
curl 7.65.3 hbc83047_0
cycler 0.10.0 py37_0
cython 0.29.13 py37he6710b0_0
cytoolz 0.10.0 py37h7b6447c_0
dask 2.5.2 py_0
dask-core 2.5.2 py_0
dask-labextension 1.1.0 pypi_0 pypi
dbus 1.13.6 h746ee38_0
decorator 4.4.0 py37_1
defusedxml 0.6.0 py_0
distributed 2.5.2 py_0
docutils 0.15.2 py37_0
entrypoints 0.3 py37_0
et_xmlfile 1.0.1 py37_0
expat 2.2.6 he6710b0_0
fastcache 1.1.0 py37h7b6447c_0
fasteners 0.14.1 py_3 conda-forge
filelock 3.0.12 py_0
flake8 3.7.9 py37hc8dfbb8_1 conda-forge
flask 1.1.1 py_0
fontconfig 2.13.0 h9420a91_0
freetype 2.9.1 h8a8886c_1
fribidi 1.0.5 h7b6447c_0
fsspec 0.5.2 py_0
future 0.18.2 py37_0
get_terminal_size 1.0.0 haa9412d_0
gevent 1.4.0 py37h7b6447c_0
glib 2.56.2 hd408876_0
glob2 0.7 py_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py37h10f8cd9_2
graphite2 1.3.13 h23475e2_0
graphviz 2.40.1 h21bd128_2
greenlet 0.4.15 py37h7b6447c_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.9.0 py37h7918eee_0
harfbuzz 1.8.8 hffaf4a1_0
hdf5 1.10.4 hb1b8bf9_0
heapdict 1.0.1 py_0
holoviews 1.12.7 py_0 pyviz
html5lib 1.0.1 py37_0
icu 58.2 h9c2bf20_1
idna 2.8 py37_0
imageio 2.6.0 py37_0
imagesize 1.1.0 py37_0
importlib_metadata 0.23 py37_0
intel-openmp 2019.4 243
ipykernel 5.1.2 py37h39e3cac_0
ipympl 0.5.6 pyh9f0ad1d_1 conda-forge
ipython 7.8.0 py37h39e3cac_0
ipython_genutils 0.2.0 py37_0
ipywidgets 7.5.1 py_0 conda-forge
isort 4.3.21 py37_0
itsdangerous 1.1.0 py37_0
jbig 2.1 hdba287a_0
jdcal 1.4.1 py_0
jedi 0.15.1 py37_0
jeepney 0.4.1 py_0
jinja2 2.10.3 py_0
joblib 0.13.2 py37_0
jpeg 9b h024ee3a_2
json5 0.8.5 py_0
jsonschema 3.0.2 py37_0
jupyter 1.0.0 py37_7
jupyter-server-proxy 1.2.0 pypi_0 pypi
jupyter_bokeh 1.1.1 py_0 bokeh
jupyter_client 5.3.3 py37_1
jupyter_console 6.0.0 py37_0
jupyter_core 4.5.0 py_0
jupyterlab 1.1.4 pyhf63ae98_0
jupyterlab_server 1.0.6 py_0
keyring 18.0.0 py37_0
kiwisolver 1.1.0 py37he6710b0_0
krb5 1.16.1 h173b8e3_7
lazy-object-proxy 1.4.2 py37h7b6447c_0
libarchive 3.3.3 h5d8350f_5
libcurl 7.65.3 h20c2e04_0
libedit 3.1.20181209 hc058e9b_0
libffi 3.2.1 hd88cf55_4
libgcc-ng 9.1.0 hdf63c60_0
libgfortran-ng 7.3.0 hdf63c60_0
liblief 0.9.0 h7725739_2
libpng 1.6.37 hbc83047_0
libsodium 1.0.16 h1bed415_0
libssh2 1.8.2 h1ba5d50_0
libstdcxx-ng 9.1.0 hdf63c60_0
libtiff 4.0.10 h2733197_2
libtool 2.4.6 h7b6447c_5
libuuid 1.0.3 h1bed415_2
libxcb 1.13 h1bed415_1
libxml2 2.9.9 hea5a465_1
libxslt 1.1.33 h7d1a2b0_0
llvmlite 0.29.0 py37hd408876_0
locket 0.2.0 py37_1
lxml 4.4.1 py37hefd8a0e_0
lz4-c 1.8.1.2 h14c3975_0
lzo 2.10 h49e0be7_2
markdown 3.2.1 py_0 conda-forge
markupsafe 1.1.1 py37h7b6447c_0
matplotlib 3.1.1 py37h5429711_0
matplotlib-base 3.1.3 py37hef1b27d_0
mccabe 0.6.1 py37_1
mistune 0.8.4 py37h7b6447c_0
mkl 2019.4 243
mkl-service 2.3.0 py37he904b0f_0
mkl_fft 1.0.14 py37ha843d7b_0
mkl_random 1.1.0 py37hd6b4f25_0
mock 3.0.5 py37_0
monotonic 1.5 py_0 conda-forge
more-itertools 7.2.0 py37_0
mpc 1.1.0 h10f8cd9_1
mpfr 4.0.1 hdf1c602_3
mpmath 1.1.0 py37_0
msgpack-python 0.6.1 py37hfd86e86_1
multidict 4.7.4 pypi_0 pypi
multipledispatch 0.6.0 py37_0
mypy 0.761 py_0 conda-forge
mypy_extensions 0.4.3 py37hc8dfbb8_1 conda-forge
natsort 6.2.0 pypi_0 pypi
navigator-updater 0.2.1 py37_0
nbconvert 5.6.0 py37_1
nbformat 4.4.0 py37_0
ncurses 6.1 he6710b0_1
netcdf4 1.5.3 pypi_0 pypi
networkx 2.3 py_0
nltk 3.4.5 py37_0
nodejs 11.14.0 he1b5a44_1 conda-forge
nose 1.3.7 py37_2
notebook 6.0.1 py37_0
numba 0.45.1 py37h962f231_0
numcodecs 0.6.4 py37he1b5a44_0 conda-forge
numexpr 2.7.0 py37h9e4a6bb_0
numpy 1.17.2 py37haad9e8e_0
numpy-base 1.17.2 py37hde5b4d6_0
numpydoc 0.9.1 py_0
olefile 0.46 py37_0
openpyxl 3.0.0 py_0
openssl 1.1.1g h516909a_0 conda-forge
packaging 19.2 py_0
pandas 0.25.1 py37he6710b0_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py37_1
panel 0.8.1 pyh8c360ce_0 conda-forge
pango 1.42.4 h049681c_0
param 1.9.3 py_0 conda-forge
parso 0.5.1 py_0
partd 1.0.0 py_0
patchelf 0.9 he6710b0_3
path.py 12.0.1 py_0
pathlib2 2.3.5 py37_0
pathspec 0.7.0 py_0 conda-forge
patsy 0.5.1 py37_0
pcre 8.43 he6710b0_0
pep8 1.7.1 py37_0
pexpect 4.7.0 py37_0
pickleshare 0.7.5 py37_0
pillow 6.2.0 py37h34e0f95_0
pint 0.0.0 dev_0 <develop>
pip 19.2.3 py37_0
pixman 0.38.0 h7b6447c_0
pkginfo 1.5.0.1 py37_0
pluggy 0.13.0 py37_0
ply 3.11 py37_0
prometheus_client 0.7.1 py_0
prompt_toolkit 2.0.10 py_0
psutil 5.6.3 py37h7b6447c_0
ptyprocess 0.6.0 py37_0
py 1.8.0 py37_0
py-lief 0.9.0 py37h7725739_2
pycodestyle 2.5.0 py37_0
pycosat 0.6.3 py37h14c3975_0
pycparser 2.19 py37_0
pycrypto 2.6.1 py37h14c3975_9
pyct 0.4.6 py_0 conda-forge
pyct-core 0.4.6 py_0 conda-forge
pycurl 7.43.0.3 py37h1ba5d50_0
pyflakes 2.1.1 py37_0
pygments 2.4.2 py_0
pylint 2.4.2 py37_0
pyodbc 4.0.27 py37he6710b0_0
pyopenssl 19.0.0 py37_0
pyparsing 2.4.2 py_0
pyqt 5.9.2 py37h05f1152_2
pyrsistent 0.15.4 py37h7b6447c_0
pysocks 1.7.1 py37_0
pytables 3.5.2 py37h71ec239_1
pytest 5.2.1 py37_0
pytest-arraydiff 0.3 py37h39e3cac_0
pytest-astropy 0.5.0 py37_0
pytest-clarity 0.2.0a1 py_0 conda-forge
pytest-doctestplus 0.4.0 py_0
pytest-openfiles 0.4.0 py_0
pytest-remotedata 0.3.2 py37_0
python 3.7.4 h265db76_1
python-dateutil 2.8.0 py37_0
python-graphviz 0.13.2 py_0 conda-forge
python-libarchive-c 2.8 py37_13
python_abi 3.7 1_cp37m conda-forge
pytz 2019.3 py_0
pyviz_comms 0.7.4 pyh8c360ce_0 conda-forge
pywavelets 1.0.3 py37hdd07704_1
pyyaml 5.1.2 py37h7b6447c_0
pyzmq 18.1.0 py37he6710b0_0
qt 5.9.7 h5867ecd_1
qtawesome 0.6.0 py_0
qtconsole 4.5.5 py_0
qtpy 1.9.0 py_0
readline 7.0 h7b6447c_5
regex 2020.2.20 py37h8f50634_1 conda-forge
requests 2.22.0 py37_0
ripgrep 0.10.0 hc07d326_0
rise 5.6.1 py37_0 conda-forge
rope 0.14.0 py_0
ruamel_yaml 0.15.46 py37h14c3975_0
scikit-image 0.15.0 py37he6710b0_0
scikit-learn 0.21.3 py37hd81dba3_0
scipy 1.4.1 py37h0b6359f_0
seaborn 0.9.0 py37_0
secretstorage 3.1.1 py37_0
send2trash 1.5.0 py37_0
setuptools 41.4.0 py37_0
simpervisor 0.3 pypi_0 pypi
simplegeneric 0.8.1 py37_2
singledispatch 3.4.0.3 py37_0
sip 4.19.8 py37hf484d3e_0
six 1.12.0 py37_0
snappy 1.1.7 hbae5bb6_3
snowballstemmer 2.0.0 py_0
sortedcollections 1.1.2 py37_0
sortedcontainers 2.1.0 py37_0
soupsieve 1.9.3 py37_0
sphinx 2.2.0 py_0
sphinxcontrib 1.0 py37_1
sphinxcontrib-applehelp 1.0.1 py_0
sphinxcontrib-devhelp 1.0.1 py_0
sphinxcontrib-htmlhelp 1.0.2 py_0
sphinxcontrib-jsmath 1.0.1 py_0
sphinxcontrib-qthelp 1.0.2 py_0
sphinxcontrib-serializinghtml 1.1.3 py_0
sphinxcontrib-websupport 1.1.2 py_0
spyder 3.3.6 py37_0
spyder-kernels 0.5.2 py37_0
sqlalchemy 1.3.9 py37h7b6447c_0
sqlite 3.30.0 h7b6447c_0
statsmodels 0.10.1 py37hdd07704_0
sympy 1.4 py37_0
tbb 2019.4 hfd86e86_0
tblib 1.4.0 py_0
termcolor 1.1.0 py_2 conda-forge
terminado 0.8.2 py37_0
testpath 0.4.2 py37_0
tk 8.6.8 hbc83047_0
toml 0.10.0 py_0 conda-forge
toolz 0.10.0 py_0
tornado 6.0.3 py37h7b6447c_0
tqdm 4.36.1 py_0
traitlets 4.3.3 py37_0
traittypes 0.2.1 py_1 conda-forge
typed-ast 1.4.1 py37h516909a_0 conda-forge
typing_extensions 3.7.4.1 py37hc8dfbb8_1 conda-forge
unicodecsv 0.14.1 py37_0
unixodbc 2.3.7 h14c3975_0
urllib3 1.24.2 py37_0
wcwidth 0.1.7 py37_0
webencodings 0.5.1 py37_1
werkzeug 0.16.0 py_0
wheel 0.33.6 py37_0
widgetsnbextension 3.5.1 py37_0
wrapt 1.11.2 py37h7b6447c_0
wurlitzer 1.0.3 py37_0
xarray-interactive 0.0.1 dev_0 <develop>
xbout 0.1.0 dev_0 <develop>
xlrd 1.2.0 py37_0
xlsxwriter 1.2.1 py_0
xlwt 1.3.0 py37_0
xstorm 0.1 dev_0 <develop>
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
yarl 1.4.2 pypi_0 pypi
zarr 2.3.2 py37_0 conda-forge
zeromq 4.3.1 he6710b0_3
zict 1.0.0 py_0
zipp 0.6.0 py_0
zlib 1.2.11 h7b6447c_3
zstd 1.3.7 h0b5b093_0
I also got the same Loading widget... error and later on when trying to fix it I also got the Widget loads, returns Error displaying widget: model not found error (see #154).
However, I solved both errors by enforcing the conda package version ipympl=0.5.6 which is compatible with Jupyterlab version 2. The problem was that Conda by default would version install ipympl version 0.3.3, which is not compatible with Jupyterlab version 2.
So to sum up, I got these version to work:
conda install jupyterlab=2.1.5 ipympl==0.5.6 # NOTE: ipympl installes "jupyter-matplotlib v0.7.2"
Such that which notebook code works:
%matplotlib widget
import matplotlib.pyplot as plt
import numpy as np
# Testing matplotlib interactions with a simple plot
fig = plt.figure()
plt.plot(np.sin(np.linspace(0, 20, 100)))
@PeterFogh, what OS are you running? Here on Windows 10, I just tried conda create -n test jupyterlab ipympl, and get ipympl conda-forge/noarch::ipympl-0.5.6-pyh9f0ad1d_1 among the long list of packages to be installed, i.e. version 0.5.6, not 0.3.3.
jupyterlab is version 2.1.5.
Hi @thomasaarholt, Unix, more specific:
> lsb_release -a
No LSB modules are available.
Distributor ID: Ubuntu
Description: Ubuntu 18.04.4 LTS
Release: 18.04
Codename: bionic
Yah, I should say that I installed more Conda packages then first stated, as it is probably some of their dependencies which makes Conda downgrade the ipymlp version. I tried to install all these packages, which works:
conda create -n py37_jupyterlab_v2.1.5 python=3.7 jupyterlab nb_conda_kernels nodejs nbresuse flake8 jupyterlab_code_formatter black ipympl==0.5.6 nbdime dask-labextension jupyterlab-git pandas holoviews
And for setting up the JupyterLab extensions:
conda activate py37_jupyterlab_v2.1.5; jupyter labextension install @ijmbarr/[email protected] @jupyter-widgets/[email protected] @jupyterlab/[email protected] @jupyterlab/[email protected] @jupyterlab/[email protected] @jupyterlab/[email protected] @jupyterlab/[email protected] @krassowski/[email protected] @pyviz/[email protected] @ryantam626/[email protected] [email protected] [email protected] [email protected] [email protected] --no-build; jupyter lab build; jupyter serverextension enable --py jupyterlab_code_formatter; jupyter serverextension enable dask_labextension