Plots for continuous treatment (observational data) not displaying

[suryadipta]

Hi,
I am running the notebook for the double machine learning example downloaded as it is from https://github.com/py-why/EconML/blob/main/notebooks/Double%20Machine%20Learning%20Examples.ipynb

The plots for orange juice elasticity ("# Plot Oranje Juice elasticity as a function of income") are not displaying although the codes are not showing any error.

The following packages are installed (virtual environment):
Package Version

---

anyio 4.2.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.1
async-lru 2.0.4
attrs 23.2.0
Babel 2.14.0
beautifulsoup4 4.12.2
bleach 6.1.0
causal-learn 0.1.3.7
certifi 2023.11.17
cffi 1.16.0
charset-normalizer 3.3.2
clarabel 0.6.0
cloudpickle 3.0.0
colorama 0.4.6
comm 0.2.1
contourpy 1.2.0
cvxpy 1.4.1
cycler 0.12.1
Cython 3.0.8
debugpy 1.8.0
decorator 5.1.1
defusedxml 0.7.1
dowhy 0.11.1
econml 0.15.0b1
ecos 2.0.12
exceptiongroup 1.2.0
executing 2.0.1
fastjsonschema 2.19.1
fonttools 4.47.2
fqdn 1.5.1
graphviz 0.20.1
idna 3.6
ipykernel 6.28.0
ipython 8.20.0
ipywidgets 8.1.1
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.3
joblib 1.3.2
json5 0.9.14
jsonpointer 2.4
jsonschema 4.20.0
jsonschema-specifications 2023.12.1
jupyter 1.0.0
jupyter_client 8.6.0
jupyter-console 6.6.3
jupyter_core 5.7.1
jupyter-events 0.9.0
jupyter-lsp 2.2.1
jupyter_server 2.12.4
jupyter_server_terminals 0.5.1
jupyterlab 4.0.10
jupyterlab_pygments 0.3.0
jupyterlab_server 2.25.2
jupyterlab-widgets 3.0.9
kiwisolver 1.4.5
lightgbm 4.2.0
llvmlite 0.41.1
MarkupSafe 2.1.3
matplotlib 3.8.2
matplotlib-inline 0.1.6
mistune 3.0.2
mpmath 1.3.0
nbclient 0.9.0
nbconvert 7.14.1
nbformat 5.9.2
nest-asyncio 1.5.8
networkx 3.2.1
notebook 7.0.6
notebook_shim 0.2.3
numba 0.58.1
numpy 1.26.3
osqp 0.6.3
overrides 7.4.0
packaging 23.2
pandas 2.1.4
pandocfilters 1.5.0
parso 0.8.3
patsy 0.5.6
pillow 10.2.0
pip 23.3.2
platformdirs 4.1.0
plotly 5.18.0
prometheus-client 0.19.0
prompt-toolkit 3.0.43
psutil 5.9.7
pure-eval 0.2.2
pyarrow 14.0.2
pybind11 2.11.1
pycparser 2.21
pydot 2.0.0
Pygments 2.17.2
pyparsing 3.1.1
python-dateutil 2.8.2
python-json-logger 2.0.7
pytz 2023.3.post1
pywin32 306
pywinpty 2.0.12
PyYAML 6.0.1
pyzmq 25.1.2
qdldl 0.1.7.post0
qtconsole 5.5.1
QtPy 2.4.1
referencing 0.32.1
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.17.1
scikit-learn 1.2.2
scipy 1.11.4
scs 3.2.4.post1
seaborn 0.13.1
Send2Trash 1.8.2
setuptools 65.5.0
shap 0.44.0
six 1.16.0
slicer 0.0.7
sniffio 1.3.0
soupsieve 2.5
sparse 0.15.1
stack-data 0.6.3
statsmodels 0.14.1
sympy 1.12
tenacity 8.2.3
terminado 0.18.0
threadpoolctl 3.2.0
tinycss2 1.2.1
tomli 2.0.1
tornado 6.4
tqdm 4.66.1
traitlets 5.14.1
types-python-dateutil 2.8.19.20240106
typing_extensions 4.9.0
tzdata 2023.4
uri-template 1.3.0
urllib3 2.1.0
wcwidth 0.2.13
webcolors 1.13
webencodings 0.5.1
websocket-client 1.7.0
widgetsnbextension 4.0.9
xgboost 2.0.3

Can you advise me how to address this problem? Thank you in advance!

[kbattocchi]

I see that you've closed this issue but I noticed that our automated tests also reproduce this when they run our notebook tests - did you take any specific steps to mitigate it?

[suryadipta]

Hi Keith, I am not sure what exactly worked but I have been able to replicate the plots for this specific example by running the relevant code in a separate notebook. I have attached the notebook with this email, if that will be of any use to you. Thank you and the PyWhy team for creating these invaluable resources! Best regards, Suryadipta

…

On Wed, Jan 24, 2024 at 2:03 PM Keith Battocchi ***@***.***> wrote: I see that you've closed this issue but I noticed that our automated tests also reproduce this when they run our notebook tests - did you take any specific steps to mitigate it? — Reply to this email directly, view it on GitHub <#839 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJLVQHZTXGHHRGIM7KCC3LTYQFLJPAVCNFSM6AAAAABB4BQPMKVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMYTSMBYG42DONRWGA> . You are receiving this because you modified the open/close state.Message ID: ***@***.***>