This code kills the kernel when executing the lineplot:
import pandas as pd
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt
import time
import torch
sns.lineplot(x=np.arange(1, 10), y=np.arange(1, 10))
plt.show()
But this one doesn't:
import pandas as pd
import numpy as np
import seaborn as sns
from matplotlib import pyplot as plt
import time
sns.lineplot(x=np.arange(1, 10), y=np.arange(1, 10))
plt.show()
The same behavior is seen using plt.plot(x, y). I'm using a conda environment on windows 10 and I've tried running a jupyter notebook cell, my environment is this: python=3.10.9 and this is my pip list return:
alabaster 0.7.12
anaconda-client 1.11.2
anaconda-navigator 2.4.0
anaconda-project 0.11.1
anyio 3.5.0
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
arrow 1.2.3
astroid 2.14.2
astropy 5.1
asttokens 2.0.5
atomicwrites 1.4.0
attrs 22.1.0
Automat 20.2.0
autopep8 1.6.0
Babel 2.11.0
backcall 0.2.0
backports.functools-lru-cache 1.6.4
backports.tempfile 1.0
backports.weakref 1.0.post1
bcrypt 3.2.0
beautifulsoup4 4.11.1
binaryornot 0.4.4
black 22.6.0
bleach 4.1.0
bokeh 2.4.3
boltons 23.0.0
Bottleneck 1.3.5
brotlipy 0.7.0
certifi 2022.12.7
cffi 1.15.1
chardet 4.0.0
charset-normalizer 2.0.4
click 8.0.4
cloudpickle 2.0.0
clyent 1.2.2
colorama 0.4.6
colorcet 3.0.1
comm 0.1.2
conda 23.3.1
conda-build 3.24.0
conda-content-trust 0.1.3
conda-pack 0.6.0
conda-package-handling 2.0.2
conda_package_streaming 0.7.0
conda-repo-cli 1.0.41
conda-token 0.4.0
conda-verify 3.4.2
constantly 15.1.0
contourpy 1.0.5
cookiecutter 1.7.3
cryptography 39.0.1
cssselect 1.1.0
cycler 0.11.0
cytoolz 0.12.0
daal4py 2023.0.2
dask 2022.7.0
datashader 0.14.4
datashape 0.5.4
debugpy 1.5.1
decorator 5.1.1
defusedxml 0.7.1
diff-match-patch 20200713
dill 0.3.6
distributed 2022.7.0
docstring-to-markdown 0.11
docutils 0.18.1
entrypoints 0.4
et-xmlfile 1.1.0
executing 0.8.3
fastjsonschema 2.16.2
filelock 3.9.0
flake8 6.0.0
Flask 2.2.2
flit_core 3.6.0
fonttools 4.25.0
fsspec 2022.11.0
future 0.18.3
gensim 4.3.0
glob2 0.7
greenlet 2.0.1
h5py 3.7.0
HeapDict 1.0.1
holoviews 1.15.4
huggingface-hub 0.10.1
hvplot 0.8.2
hyperlink 21.0.0
idna 3.4
imagecodecs 2021.8.26
imageio 2.26.0
imagesize 1.4.1
imbalanced-learn 0.10.1
importlib-metadata 4.11.3
incremental 21.3.0
inflection 0.5.1
iniconfig 1.1.1
intake 0.6.7
intervaltree 3.1.0
ipykernel 6.19.2
ipython 8.10.0
ipython-genutils 0.2.0
ipywidgets 7.6.5
isort 5.9.3
itemadapter 0.3.0
itemloaders 1.0.4
itsdangerous 2.0.1
jedi 0.18.1
jellyfish 0.9.0
Jinja2 3.1.2
jinja2-time 0.2.0
jmespath 0.10.0
joblib 1.1.1
json5 0.9.6
jsonpatch 1.32
jsonpointer 2.1
jsonschema 4.17.3
jupyter 1.0.0
jupyter_client 7.3.4
jupyter-console 6.6.2
jupyter_core 5.2.0
jupyter-server 1.23.4
jupyterlab 3.5.3
jupyterlab-pygments 0.1.2
jupyterlab_server 2.19.0
jupyterlab-widgets 1.0.0
keyring 23.4.0
kiwisolver 1.4.4
lazy-object-proxy 1.6.0
libarchive-c 2.9
llvmlite 0.39.1
locket 1.0.0
lxml 4.9.1
lz4 3.1.3
Markdown 3.4.1
MarkupSafe 2.1.1
matplotlib 3.7.0
matplotlib-inline 0.1.6
mccabe 0.7.0
menuinst 1.4.19
mistune 0.8.4
mkl-fft 1.3.1
mkl-random 1.2.2
mkl-service 2.4.0
mock 4.0.3
mpmath 1.2.1
msgpack 1.0.3
multipledispatch 0.6.0
munkres 1.1.4
mypy-extensions 0.4.3
navigator-updater 0.3.0
nbclassic 0.5.2
nbclient 0.5.13
nbconvert 6.5.4
nbformat 5.7.0
nest-asyncio 1.5.6
networkx 2.8.4
nltk 3.7
notebook 6.5.2
notebook_shim 0.2.2
numba 0.56.4
numexpr 2.8.4
numpy 1.23.5
numpydoc 1.5.0
openpyxl 3.0.10
packaging 22.0
pandas 1.5.3
pandocfilters 1.5.0
panel 0.14.3
param 1.12.3
paramiko 2.8.1
parsel 1.6.0
parso 0.8.3
partd 1.2.0
pathlib 1.0.1
pathspec 0.10.3
patsy 0.5.3
pep8 1.7.1
pexpect 4.8.0
pickleshare 0.7.5
Pillow 9.4.0
pip 22.3.1
pkginfo 1.9.6
platformdirs 2.5.2
plotly 5.9.0
pluggy 1.0.0
ply 3.11
pooch 1.4.0
poyo 0.5.0
prometheus-client 0.14.1
prompt-toolkit 3.0.36
Protego 0.1.16
psutil 5.9.0
ptyprocess 0.7.0
pure-eval 0.2.2
py 1.11.0
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycodestyle 2.10.0
pycosat 0.6.4
pycparser 2.21
pyct 0.5.0
pycurl 7.45.1
PyDispatcher 2.0.5
pydocstyle 6.3.0
pyerfa 2.0.0
pyflakes 3.0.1
Pygments 2.11.2
PyHamcrest 2.0.2
PyJWT 2.4.0
pylint 2.16.2
pylint-venv 2.3.0
pyls-spyder 0.4.0
PyNaCl 1.5.0
pyodbc 4.0.34
pyOpenSSL 23.0.0
pyparsing 3.0.9
PyQt5 5.15.7
PyQt5-sip 12.11.0
PyQtWebEngine 5.15.4
pyrsistent 0.18.0
PySocks 1.7.1
pytest 7.1.2
python-dateutil 2.8.2
python-lsp-black 1.2.1
python-lsp-jsonrpc 1.0.0
python-lsp-server 1.7.1
python-slugify 5.0.2
python-snappy 0.6.1
pytoolconfig 1.2.5
pytz 2022.7
pyviz-comms 2.0.2
PyWavelets 1.4.1
pywin32 305.1
pywin32-ctypes 0.2.0
pywinpty 2.0.10
PyYAML 6.0
pyzmq 23.2.0
QDarkStyle 3.0.2
qstylizer 0.2.2
QtAwesome 1.2.2
qtconsole 5.4.0
QtPy 2.2.0
queuelib 1.5.0
regex 2022.7.9
requests 2.28.1
requests-file 1.5.1
requests-toolbelt 0.9.1
rope 1.7.0
Rtree 1.0.1
ruamel.yaml 0.17.21
ruamel.yaml.clib 0.2.6
ruamel-yaml-conda 0.17.21
scikit-image 0.19.3
scikit-learn 1.2.1
scikit-learn-intelex 20230228.214818
scipy 1.10.0
Scrapy 2.8.0
seaborn 0.12.2
Send2Trash 1.8.0
service-identity 18.1.0
setuptools 65.6.3
sip 6.6.2
six 1.16.0
sklearn 0.0.post5
smart-open 5.2.1
sniffio 1.2.0
snowballstemmer 2.2.0
sortedcontainers 2.4.0
soupsieve 2.3.2.post1
Sphinx 5.0.2
sphinxcontrib-applehelp 1.0.2
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.0
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
spyder 5.4.1
spyder-kernels 2.4.1
SQLAlchemy 1.4.39
stack-data 0.2.0
statsmodels 0.13.5
sympy 1.11.1
tables 3.7.0
tabulate 0.8.10
TBB 0.2
tblib 1.7.0
tenacity 8.0.1
terminado 0.17.1
text-unidecode 1.3
textdistance 4.2.1
threadpoolctl 2.2.0
three-merge 0.1.1
tifffile 2021.7.2
tinycss2 1.2.1
tldextract 3.2.0
tokenizers 0.11.4
toml 0.10.2
tomli 2.0.1
tomlkit 0.11.1
toolz 0.12.0
torch 2.0.1+cu118
torchaudio 2.0.2+cu118
torchvision 0.15.2+cu118
tornado 6.1
tqdm 4.64.1
traitlets 5.7.1
transformers 4.24.0
Twisted 22.2.0
twisted-iocpsupport 1.0.2
typing_extensions 4.4.0
ujson 5.4.0
Unidecode 1.2.0
urllib3 1.26.14
w3lib 1.21.0
watchdog 2.1.6
wcwidth 0.2.5
webencodings 0.5.1
websocket-client 0.58.0
Werkzeug 2.2.2
whatthepatch 1.0.2
wheel 0.38.4
widgetsnbextension 3.5.2
win-inet-pton 1.1.0
wincertstore 0.2
wrapt 1.14.1
xarray 2022.11.0
xlwings 0.29.1
yapf 0.31.0
zict 2.1.0
zipp 3.11.0
zope.interface 5.4.0
zstandard 0.19.0
This is the 3rd environment i try. I've built 2 very similar environments before, and had the same issue, one was python 3.8 and the other one was python 3.9, I thought I might have screwed my anaconda instalation and even hard reinstalled it all. I still have the same problem, which is very weird to me, never seen anything like this.
I need to use graphs AND torch haha, and i don't seem to be able to do it anymore.
I've tried every solution proposed here: Matplotlib kills kernel on Jupyter
But none of them worked.
My procedure to build my environment was exactly this one:
conda create -n env_name
conda activate env_name
pip install numpy pandas sklearn jupyter matplotlib seaborn
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
The previous two envs were the same procedure, except for a python=version in the create command.
I really don't know what else I can do.
Apart from that, the environment works perfectly, I can use torch and cuda normally, and separately I can also use matplotlib and seaborn normally. I just can't use them both on the same code for some reason. The kernel simply dies, no memory usage, no explanation, just dies.
