Error during plot_features_importances

[valevalerio]

Hello,I have got this error when trying to run the plot_features_importance in the tabular_explanations_example.ipynb example

`ValueError Traceback (most recent call last)
Cell In[9], line 1
----> 1 exp.plot_features_importance()

File ~/xaihac/XAI-Lib/src/xailib/explainers/shap_explainer_tab.py:42, in ShapXAITabularExplanation.plot_features_importance(self, fontDimension)
38 else:
39 feature_values = self.exp[0]
---> 42 arr=np.c_[np.array(self.feature_names), feature_values]
43 dataToPlot=pd.DataFrame(arr,columns=['name','value'])
44 dataToPlot['value'] = dataToPlot['value'].astype('float64')

File ~/.venv/lib/python3.10/site-packages/numpy/lib/index_tricks.py:418, in AxisConcatenator.getitem(self, key)
414 # concatenate could do cast, but that can be overriden:
415 objs = [array(obj, copy=False, subok=True,
416 ndmin=ndmin, dtype=final_dtype) for obj in objs]
--> 418 res = self.concatenate(tuple(objs), axis=axis)
420 if matrix:
421 oldndim = res.ndim

ValueError: all the input array dimensions except for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 61 and the array at index 1 has size 2`
What could cause this error? looks like an indexing issue of the couple relative to the explanations for the two classes...

[valevalerio]

This is the result of pip freeze, I am using Python 3.10.12

altair==4.2.2
anyio==4.4.0
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==2.15.0
beautifulsoup4==4.12.3
bitarray==2.9.2
bleach==6.1.0
certifi==2024.7.4
cffi==1.16.0
charset-normalizer==3.3.2
cloudpickle==3.0.0
comm==0.2.2
contourpy==1.2.1
cycler==0.12.1
deap==1.4.1
debugpy==1.8.2
decorator==5.1.1
defusedxml==0.7.1
entrypoints==0.4
exceptiongroup==1.2.1
executing==2.0.1
fastjsonschema==2.20.0
fonttools==4.53.0
fqdn==1.5.1
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
imageio==2.34.2
ipykernel==6.29.5
ipython==8.26.0
ipywidgets==8.1.3
isoduration==20.11.0
jedi==0.19.1
Jinja2==3.1.4
joblib==1.4.2
json5==0.9.25
jsonpointer==3.0.0
jsonschema==4.22.0
jsonschema-specifications==2023.12.1
jupyter==1.0.0
jupyter-console==6.6.3
jupyter-events==0.10.0
jupyter-lsp==2.2.5
jupyter_client==8.6.2
jupyter_core==5.7.2
jupyter_server==2.14.1
jupyter_server_terminals==0.5.3
jupyterlab==4.2.3
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.2
jupyterlab_widgets==3.0.11
kiwisolver==1.4.5
lazy_loader==0.4
lime==0.2.0.1
llvmlite==0.43.0
LORE_ext==1.0.3
MarkupSafe==2.1.5
matplotlib==3.9.1
matplotlib-inline==0.1.7
mistune==3.0.2
nbclient==0.10.0
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.3
notebook==7.2.1
notebook_shim==0.2.4
numba==0.60.0
numpy==1.26.0
overrides==7.7.0
packaging==24.1
pandas==2.2.2
pandocfilters==1.5.1
parso==0.8.4
pexpect==4.9.0
pillow==10.4.0
platformdirs==4.2.2
prometheus_client==0.20.0
prompt_toolkit==3.0.47
psutil==6.0.0
ptyprocess==0.7.0
pure-eval==0.2.2
pycparser==2.22
Pygments==2.18.0
pyparsing==3.1.2
python-dateutil==2.9.0.post0
python-json-logger==2.0.7
pytz==2024.1
PyYAML==6.0.1
pyzmq==26.0.3
qtconsole==5.5.2
QtPy==2.4.1
referencing==0.35.1
requests==2.32.3
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rpds-py==0.18.1
scikit-image==0.24.0
scikit-learn==1.5.1
scipy==1.14.0
Send2Trash==1.8.3
shap==0.46.0
six==1.16.0
slicer==0.0.8
sniffio==1.3.1
soupsieve==2.5
stack-data==0.6.3
terminado==0.18.1
threadpoolctl==3.5.0
tifffile==2024.7.2
tinycss2==1.3.0
tomli==2.0.1
toolz==0.12.1
tornado==6.4.1
tqdm==4.66.4
traitlets==5.14.3
types-python-dateutil==2.9.0.20240316
typing_extensions==4.12.2
tzdata==2024.1
uri-template==1.3.0
urllib3==2.2.2
wcwidth==0.2.13
webcolors==24.6.0
webencodings==0.5.1
websocket-client==1.8.0
widgetsnbextension==4.0.11
-e git+https://github.com/kdd-lab/XAI-Lib.git@f497849b781d42a014a7fe9705525908d287301e#egg=XAI_Library