I am in the process of reproducing the examples here on my own computer.
I get this output running in the standard jupyter notebook, which seems ok
However, in jupyterlab (same cell in same notebook running on the same kernel), output is blank.
The first time I ran there was some sort of warning that I cannot seem to reproduce.
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$ conda info
active environment : CONDACOBRAPY
active env location : /home/bjorn/anaconda3/envs/CONDACOBRAPY
shell level : 1
user config file : /home/bjorn/.condarc
populated config files : /home/bjorn/.condarc
conda version : 4.5.4
conda-build version : 3.10.5
python version : 3.6.5.final.0
base environment : /home/bjorn/anaconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
https://conda.anaconda.org/BjornFJohansson/linux-64
https://conda.anaconda.org/BjornFJohansson/noarch
package cache : /home/bjorn/anaconda3/pkgs
/home/bjorn/.conda/pkgs
envs directories : /home/bjorn/anaconda3/envs
/home/bjorn/.conda/envs
platform : linux-64
user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Linux/4.13.0-43-generic linuxmint/18.2 glibc/2.23
UID:GID : 1000:1000
netrc file : None
offline mode : False
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$ conda list
# packages in environment at /home/bjorn/anaconda3/envs/CONDACOBRAPY:
#
# Name Version Build Channel
asn1crypto 0.24.0 py36_0 conda-forge
atomicwrites 1.1.5 py36_0 conda-forge
attrs 18.1.0 py_0 conda-forge
backcall 0.1.0 py36_0 defaults
blas 1.0 mkl defaults
bleach 2.1.3 py_0 conda-forge
blessings 1.6.1 <pip>
ca-certificates 2018.4.16 0 conda-forge
cameo 0.11.5 <pip>
certifi 2018.4.16 py36_0 conda-forge
cffi 1.11.5 py36_0 conda-forge
chardet 3.0.4 py36_0 conda-forge
chardet 3.0.4 <pip>
click 6.7 <pip>
cobra 0.11.3 py36_0 BjornFJohansson
cryptography 2.2.1 py36_0 conda-forge
cycler 0.10.0 py36_0 conda-forge
cython 0.28.2 py36_0 conda-forge
dbus 1.11.0 0 conda-forge
decorator 4.3.0 py36_0 defaults
entrypoints 0.2.3 py36_1 conda-forge
escher 1.6.0 py36_0 BjornFJohansson
et-xmlfile 1.0.1 <pip>
expat 2.2.5 0 conda-forge
fastcache 1.0.2 py36h14c3975_2 defaults
fontconfig 2.13.0 0 conda-forge
freetype 2.8.1 0 conda-forge
future 0.16.0 py36_1 defaults
gettext 0.19.8.1 0 conda-forge
glib 2.53.6 h5d9569c_2 defaults
glpk 4.65 0 conda-forge
gmp 6.1.2 h6c8ec71_1 defaults
gmpy2 2.0.8 py36hc8893dd_2 defaults
gnomic 1.0.1 <pip>
grako 3.18.1 <pip>
gst-plugins-base 1.12.4 h33fb286_0 defaults
gstreamer 1.12.4 hb53b477_0 defaults
html5lib 1.0.1 py_0 conda-forge
icu 58.2 0 conda-forge
idna 2.6 <pip>
idna 2.6 py36_1 conda-forge
inspyred 1.0.1 <pip>
intel-openmp 2018.0.0 8 defaults
IProgress 0.4 <pip>
ipykernel 4.8.2 py36_0 conda-forge
ipython 6.4.0 py36_0 defaults
ipython_genutils 0.2.0 py36hb52b0d5_0 defaults
ipywidgets 7.2.1 py36_1 conda-forge
jdcal 1.4 <pip>
jedi 0.12.0 py36_1 defaults
jinja2 2.10 py36_0 conda-forge
jpeg 9b 2 conda-forge
jsonschema 2.6.0 py36_1 conda-forge
jupyter 1.0.0 py_1 conda-forge
jupyter_client 5.2.3 py36_0 conda-forge
jupyter_console 5.2.0 py36_0 conda-forge
jupyter_core 4.4.0 py_0 conda-forge
kiwisolver 1.0.1 py36_1 conda-forge
lazy-object-proxy 1.3.1 <pip>
libedit 3.1.20170329 h6b74fdf_2 defaults
libffi 3.2.1 hd88cf55_4 defaults
libgcc 7.2.0 h69d50b8_2 defaults
libgcc-ng 7.2.0 hdf63c60_3 defaults
libgfortran-ng 7.2.0 hdf63c60_3 defaults
libiconv 1.15 0 conda-forge
libpng 1.6.34 0 conda-forge
libsodium 1.0.16 0 conda-forge
libstdcxx-ng 7.2.0 hdf63c60_3 defaults
libuuid 1.0.3 1 conda-forge
libxcb 1.13 0 conda-forge
libxml2 2.9.8 0 conda-forge
markupsafe 1.0 py36_0 conda-forge
matplotlib 2.2.2 py36_1 conda-forge
mistune 0.8.3 py36_1 conda-forge
mkl 2018.0.2 1 defaults
mkl_fft 1.0.1 py36h3010b51_0 defaults
mkl_random 1.0.1 py36h629b387_0 defaults
more-itertools 4.1.0 py_0 conda-forge
mpc 1.0.3 hec55b23_5 defaults
mpfr 3.1.5 h11a74b3_2 defaults
mpmath 1.0.0 py36hfeacd6b_2 defaults
nbconvert 5.3.1 py_1 conda-forge
nbformat 4.4.0 py36_0 conda-forge
ncurses 6.1 hf484d3e_0 defaults
networkx 1.9.1 <pip>
notebook 5.5.0 py36_0 conda-forge
numexpr 2.6.5 <pip>
numpy 1.14.3 py36hcd700cb_1 defaults
numpy-base 1.14.3 py36h9be14a7_1 defaults
openpyxl 2.5.3 <pip>
openssl 1.0.2o 0 conda-forge
optlang 1.4.2 py_0 conda-forge
ordered-set 2.0.2 <pip>
palettable 3.1.1 <pip>
pandas 0.23.0 py36h637b7d7_0 defaults
pandoc 2.2.1 0 conda-forge
pandocfilters 1.4.2 py36_0 conda-forge
parso 0.2.0 py36_0 defaults
pcre 8.42 h439df22_0 defaults
pexpect 4.5.0 py36_0 defaults
pickleshare 0.7.4 py36h63277f8_0 defaults
pip 10.0.1 py36_0 defaults
plotly 2.7.0 py36_0 conda-forge
pluggy 0.6.0 py_0 conda-forge
prompt_toolkit 1.0.15 py36h17d85b1_0 defaults
ptyprocess 0.5.2 py36h69acd42_0 defaults
py 1.5.3 py_0 conda-forge
pycparser 2.18 py36_0 conda-forge
pygments 2.2.0 py36h0d3125c_0 defaults
pyopenssl 18.0.0 py36_0 conda-forge
pyparsing 2.2.0 py36_0 conda-forge
pyqt 5.6.0 py36_5 conda-forge
pysocks 1.6.8 py36_1 conda-forge
pytest 3.6.0 py36_1 conda-forge
python 3.6.5 hc3d631a_2 defaults
python-dateutil 2.7.3 py36_0 defaults
pytz 2018.4 py36_0 defaults
pyzmq 17.0.0 py36_4 conda-forge
qt 5.6.2 h974d657_12 defaults
qtconsole 4.3.1 py36_0 conda-forge
readline 7.0 ha6073c6_4 defaults
requests 2.18.4 <pip>
requests 2.18.4 py36_1 conda-forge
ruamel.yaml 0.14.11 py36_0 conda-forge
scipy 1.1.0 <pip>
send2trash 1.5.0 py_0 conda-forge
setuptools 39.1.0 py36_0 defaults
simplegeneric 0.8.1 py36_2 defaults
sip 4.18 py36_1 conda-forge
six 1.11.0 py36h372c433_1 defaults
sqlite 3.23.1 he433501_0 defaults
swig 3.0.12 h38cdd7d_3 defaults
swiglpk 1.4.4 py36_0 conda-forge
sympy 1.1.1 py36hc6d1c1c_0 defaults
tabulate 0.8.2 py36_0 defaults
terminado 0.8.1 py36_0 conda-forge
testpath 0.3.1 py36_0 conda-forge
tk 8.6.7 hc745277_3 defaults
tornado 5.0.2 py36_0 conda-forge
traitlets 4.3.2 py36h674d592_0 defaults
urllib3 1.22 <pip>
urllib3 1.22 py36_0 conda-forge
wcwidth 0.1.7 py36hdf4376a_0 defaults
webencodings 0.5 py36_0 conda-forge
wheel 0.31.1 py36_0 defaults
widgetsnbextension 3.2.1 py36_0 conda-forge
xorg-libxau 1.0.8 3 conda-forge
xorg-libxdmcp 1.1.2 3 conda-forge
xz 5.2.4 h14c3975_4 defaults
zeromq 4.2.5 1 conda-forge
zlib 1.2.11 ha838bed_2 defaults
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$
I am in the process of reproducing the examples here on my own computer.
I get this output running in the standard jupyter notebook, which seems ok
However, in jupyterlab (same cell in same notebook running on the same kernel), output is blank.
The first time I ran there was some sort of warning that I cannot seem to reproduce.
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$ conda info
populated config files : /home/bjorn/.condarc
conda version : 4.5.4
conda-build version : 3.10.5
python version : 3.6.5.final.0
base environment : /home/bjorn/anaconda3 (writable)
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
https://conda.anaconda.org/BjornFJohansson/linux-64
https://conda.anaconda.org/BjornFJohansson/noarch
package cache : /home/bjorn/anaconda3/pkgs
/home/bjorn/.conda/pkgs
envs directories : /home/bjorn/anaconda3/envs
/home/bjorn/.conda/envs
platform : linux-64
user-agent : conda/4.5.4 requests/2.18.4 CPython/3.6.5 Linux/4.13.0-43-generic linuxmint/18.2 glibc/2.23
UID:GID : 1000:1000
netrc file : None
offline mode : False
(CONDACOBRAPY) bjorn@bjorn-ThinkPad-T450s:~$