Nothing displayed pandas dataframe conda install

After I installed beakerx with `conda install -c conda-forge beakerx ipywidgets` dataframes don't show any output anymore in Jupyter Notebook

Fresh conda setup:

conda create --name stats python=3.6
conda activate stats
conda install pandas
conda install ipykernel # allows the use of env kernels in jupyter notebook
conda install ipywidgets # GUI elements in jupyter notebook
python -m ipykernel install --user --name stats --display-name "py36 stats" # enable env as kernel in jupyter notebook

* test everything works*
jupyter notebook
import pandas as pd
df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
df
* Standard Jupyter Notebook table shows *
* --> everything works; shutdown jupyter notebook *

conda install -c conda-forge beakerx ipywidgets
jupyter notebook
import pandas as pd
df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
df
* No output (even without importing beakerx) *

conda install -c conda-forge beakerx ipywidgets
jupyter notebook
import pandas as pd
df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
df
* No output (even without importing beakerx) *

import pandas as pd
from beakerx import *
df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})
df
* Still no output (even without importing beakerx) *

No output is given anymore when running any commands such as `df` or `display(df)`.
Also, I have the same issue as https://github.com/twosigma/beakerx/issues/7766 in which beakerx is used without importing it.

`conda uninstall beakerx` solves all issues, but I would like fancy tables :')

Jupyter notebook file after install beakerx

{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "20649fd6d3394c92a6db1f97941f72d8",
"version_major": 2,
"version_minor": 0
}
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import pandas as pd\n",
"df = pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "py36 stats",
"language": "python",
"name": "stats"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

Pandas environment

conda list

# packages in environment at /home/*user*/anaconda3/envs/stats:
#
# Name Version Build Channel
appdirs 1.4.3 py36h28b3542_0
asn1crypto 0.24.0 py36_0
atomicwrites 1.2.1 py_0 conda-forge
attrs 18.2.0 py36h28b3542_0
automat 0.7.0 py36_0
backcall 0.1.0 py36_0
beakerx 1.1.0 py36_0 conda-forge
blas 1.0 mkl
bleach 2.1.4 py36_0
ca-certificates 2018.8.24 ha4d7672_0 conda-forge
certifi 2018.8.24 py36_1001 conda-forge
cffi 1.11.5 py36he75722e_1
chardet 3.0.4 py36_1003 conda-forge
constantly 15.1.0 py36h28b3542_0
cryptography 2.3.1 py36hc365091_0
decorator 4.3.0 py36_0
entrypoints 0.2.3 py36_2
gmp 6.1.2 h6c8ec71_1
html5lib 1.0.1 py36_0
hyperlink 18.0.0 py36_0
idna 2.7 py36_0
incremental 17.5.0 py36_0
intel-openmp 2019.0 118
ipykernel 5.0.0 py36h39e3cac_0
ipython 7.0.1 py36h39e3cac_0
ipython_genutils 0.2.0 py36_0
ipywidgets 7.4.2 py_0 conda-forge
jedi 0.12.1 py36_0
jinja2 2.10 py36_0
jsonschema 2.6.0 py36_0
jupyter_client 5.2.3 py36_0
jupyter_core 4.4.0 py36_0
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 8.2.0 hdf63c60_1
libgfortran-ng 7.3.0 hdf63c60_0
libsodium 1.0.16 h1bed415_0
libstdcxx-ng 8.2.0 hdf63c60_1
markupsafe 1.0 py36h14c3975_1
maven 3.5.0 0 conda-forge
mistune 0.8.3 py36h14c3975_1
mkl 2019.0 118
mkl_fft 1.0.6 py36h7dd41cf_0
mkl_random 1.0.1 py36h4414c95_1
more-itertools 4.3.0 py36_1000 conda-forge
nbconvert 5.3.1 py36_0
nbformat 4.4.0 py36_0
ncurses 6.1 hf484d3e_0
notebook 5.7.0 py36_0
numpy 1.15.2 py36h1d66e8a_1
numpy-base 1.15.2 py36h81de0dd_1
openjdk 8.0.152 h46b5887_1
openssl 1.0.2p h470a237_0 conda-forge
pandas 0.23.4 py36h04863e7_0
pandoc 2.2.3.2 0
pandocfilters 1.4.2 py36_1
parso 0.3.1 py36_0
pexpect 4.6.0 py36_0
pickleshare 0.7.5 py36_0
pip 10.0.1 py36_0
pluggy 0.7.1 py_0 conda-forge
prometheus_client 0.3.1 py36h28b3542_0
prompt_toolkit 2.0.5 py36_0
ptyprocess 0.6.0 py36_0
py 1.6.0 py_0 conda-forge
py4j 0.10.7 py_1 conda-forge
pyasn1 0.4.4 py36h28b3542_0
pyasn1-modules 0.2.2 py36_0
pycparser 2.19 py36_0
pygments 2.2.0 py36_0
pyopenssl 18.0.0 py36_0
pysocks 1.6.8 py36_1002 conda-forge
pytest 3.8.2 py36_1000 conda-forge
python 3.6.6 hc3d631a_0
python-dateutil 2.7.3 py36_0
pytz 2018.5 py36_0
pyzmq 17.1.2 py36h14c3975_0
readline 7.0 h7b6447c_5
requests 2.19.1 py36_1 conda-forge
send2trash 1.5.0 py36_0
service_identity 17.0.0 py36h28b3542_0
setuptools 40.4.3 py36_0
simplegeneric 0.8.1 py36_2
six 1.11.0 py36_1
sqlite 3.25.2 h7b6447c_0
terminado 0.8.1 py36_1
testpath 0.4.2 py36_0
tk 8.6.8 hbc83047_0
tornado 5.1.1 py36h7b6447c_0
traitlets 4.3.2 py36_0
twisted 18.7.0 py36h14c3975_1
urllib3 1.23 py36_1 conda-forge
wcwidth 0.1.7 py36_0
webencodings 0.5.1 py36_1
wheel 0.32.0 py36_0
widgetsnbextension 3.4.2 py36_0
xz 5.2.4 h14c3975_4
zeromq 4.2.5 hf484d3e_1
zlib 1.2.11 ha838bed_2
zope 1.0 py36_1
zope.interface 4.5.0 py36h14c3975_0