Problem when import Table module

[Isaamarod]

Problem when import Table module

[markotoplak]

Could you give more details about how you installed it? System-wide, virtual environment, user packages? What is your platform?

I just tried pip-installing into a fresh virtual python 3.10 environment on Linux and did not get the same issue.

Can you do pip freeze and show us the output? I guess some packages have conflicts...

[markotoplak]

Here is mine pip freeze:

anyio==4.4.0
AnyQt==0.2.0
asttokens==2.4.1
attrs==23.2.0
backports.tarfile==1.2.0
baycomp==1.0.3
Bottleneck==1.4.0
catboost==1.2.5
cattrs==23.2.3
certifi==2024.7.4
cffi==1.16.0
chardet==5.2.0
charset-normalizer==3.3.2
comm==0.2.2
commonmark==0.9.1
contourpy==1.2.1
cryptography==42.0.8
cycler==0.12.1
debugpy==1.8.2
decorator==5.1.1
dictdiffer==0.9.0
docutils==0.21.2
et-xmlfile==1.1.0
exceptiongroup==1.2.1
executing==2.0.1
fonttools==4.53.0
graphviz==0.20.3
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
idna==3.7
importlib_metadata==8.0.0
ipykernel==6.29.5
ipython==8.26.0
jaraco.classes==3.4.0
jaraco.context==5.3.0
jaraco.functools==4.0.1
jedi==0.19.1
jeepney==0.8.0
joblib==1.4.2
jupyter_client==8.6.2
jupyter_core==5.7.2
keyring==25.2.1
keyrings.alt==5.0.1
kiwisolver==1.4.5
matplotlib==3.9.1
matplotlib-inline==0.1.7
more-itertools==10.3.0
nest-asyncio==1.6.0
networkx==3.3
numpy==1.26.4
nvidia-nccl-cu12==2.22.3
openpyxl==3.1.5
openTSNE==1.0.1
orange-canvas-core==0.2.1
orange-widget-base==4.24.0
Orange3==3.37.0
packaging==24.1
pandas==2.2.2
parso==0.8.4
pexpect==4.9.0
pillow==10.4.0
pkg_resources==0.0.0
platformdirs==4.2.2
plotly==5.22.0
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
PyQt5==5.15.10
PyQt5-Qt5==5.15.14
PyQt5-sip==12.13.0
pyqtgraph==0.13.7
python-dateutil==2.9.0.post0
python-louvain==0.16
pytz==2024.1
PyYAML==6.0.1
pyzmq==26.0.3
qasync==0.27.1
qtconsole==5.5.2
QtPy==2.4.1
requests==2.32.3
requests-cache==1.2.1
scikit-learn==1.4.2
scipy==1.14.0
SecretStorage==3.3.3
serverfiles==0.3.1
six==1.16.0
sniffio==1.3.1
stack-data==0.6.3
tenacity==8.4.2
threadpoolctl==3.5.0
tornado==6.4.1
traitlets==5.14.3
typing_extensions==4.12.2
tzdata==2024.1
url-normalize==1.4.3
urllib3==2.2.2
wcwidth==0.2.13
xgboost==2.1.0
xlrd==2.0.1
XlsxWriter==3.2.0
zipp==3.19.2

[Isaamarod]

Yes, of course:

• Environment Jupyter Notebook in a Linux server

• Python version: 3.9.19

• Installation command:
  !pip install orange3

• Freeze:
  alembic==1.11.1
  anyio==3.7.1
  AnyQt==0.2.0
  argon2-cffi==21.3.0
  argon2-cffi-bindings==21.2.0
  arrow==1.2.3
  asttokens==2.2.1
  async-generator==1.10
  attrs==23.1.0
  backcall==0.2.0
  baycomp==1.0.3
  beautifulsoup4==4.12.2
  bleach==6.0.0
  Bottleneck==1.3.7
  cattrs==23.1.2
  certifi==2023.5.7
  certipy==0.1.3
  cffi==1.15.1
  chardet==5.2.0
  charset-normalizer==3.2.0
  cloudpickle==3.0.0
  comm==0.1.3
  commonmark==0.9.1
  contourpy==1.1.0
  cryptography==41.0.2
  cycler==0.11.0
  dbus-python==1.2.18
  debugpy==1.6.7
  decorator==5.1.1
  defusedxml==0.7.1
  dictdiffer==0.9.0
  distro==1.5.0
  docutils==0.20.1
  et-xmlfile==1.1.0
  exceptiongroup==1.1.2
  executing==1.2.0
  fastjsonschema==2.17.1
  fonttools==4.42.1
  fqdn==1.5.1
  gpg==1.15.1
  greenlet==2.0.2
  h11==0.14.0
  httpcore==0.17.3
  httpx==0.24.1
  idna==3.4
  imbalanced-learn==0.12.3
  imblearn==0.0
  importlib-metadata==6.8.0
  importlib-resources==6.0.1
  ipykernel==6.24.0
  ipython==8.14.0
  ipython-genutils==0.2.0
  isoduration==20.11.0
  jaraco.classes==3.3.0
  jedi==0.18.2
  jeepney==0.8.0
  Jinja2==3.1.2
  joblib==1.3.2
  jsonpointer==2.4
  jsonschema==4.18.0
  jsonschema-specifications==2023.6.1
  jupyter-events==0.6.3
  jupyter-telemetry==0.1.0
  jupyter_client==8.3.0
  jupyter_core==5.3.1
  jupyter_server==2.7.0
  jupyter_server_terminals==0.4.4
  jupyterhub==4.0.1
  jupyterlab-pygments==0.2.2
  keyring==24.2.0
  keyrings.alt==5.0.0
  kiwisolver==1.4.5
  libcomps==0.1.18
  llvmlite==0.43.0
  Mako==1.2.4
  MarkupSafe==2.1.3
  matplotlib==3.7.2
  matplotlib-inline==0.1.6
  mistune==3.0.1
  more-itertools==10.1.0
  nbclassic==1.0.0
  nbclient==0.8.0
  nbconvert==7.6.0
  nbformat==5.9.1
  nest-asyncio==1.5.6
  networkx==3.1
  nftables==0.1
  notebook==6.5.4
  notebook_shim==0.2.3
  numba==0.60.0
  numpy==1.25.2
  oauthlib==3.2.2
  openpyxl==3.1.2
  openTSNE==1.0.0
  orange-canvas-core==0.1.32
  orange-widget-base==4.21.0
  Orange3==3.35.0
  overrides==7.3.1
  packaging==23.1
  pamela==1.1.0
  pandas==2.2.2
  pandocfilters==1.5.0
  parso==0.8.3
  patsy==0.5.6
  pexpect==4.8.0
  pickleshare==0.7.5
  Pillow==10.0.0
  platformdirs==3.8.1
  prometheus-client==0.17.1
  prompt-toolkit==3.0.39
  psutil==5.9.5
  ptyprocess==0.7.0
  pure-eval==0.2.2
  pyarrow==16.1.0
  pycairo==1.20.1
  pycparser==2.21
  Pygments==2.15.1
  PyGObject==3.40.1
  pyOpenSSL==23.2.0
  pyparsing==3.0.9
  PyQt5==5.15.9
  PyQt5-Qt5==5.15.2
  PyQt5-sip==12.12.2
  pyqtgraph==0.13.3
  PyQtWebEngine==5.15.6
  PyQtWebEngine-Qt5==5.15.2
  python-dateutil==2.8.2
  python-json-logger==2.0.7
  python-louvain==0.16
  pytz==2023.3.post1
  PyYAML==6.0
  pyzmq==25.1.0
  qasync==0.24.0
  qtconsole==5.4.4
  QtPy==2.4.0
  referencing==0.29.1
  requests==2.31.0
  requests-cache==1.1.0
  rfc3339-validator==0.1.4
  rfc3986-validator==0.1.1
  rpds-py==0.8.10
  rpm==4.16.1.3
  ruamel.yaml==0.17.32
  ruamel.yaml.clib==0.2.7
  scikit-learn==1.1.3
  scipy==1.11.2
  seaborn==0.13.2
  SecretStorage==3.3.3
  selinux==3.5
  Send2Trash==1.8.2
  sepolicy==3.5
  serverfiles==0.3.1
  setools==4.4.1
  shap==0.45.1
  six==1.15.0
  slicer==0.0.8
  sniffio==1.3.0
  soupsieve==2.4.1
  SQLAlchemy==2.0.18
  stack-data==0.6.2
  statsmodels==0.14.2
  sudospawner==0.5.2
  systemd-python==234
  terminado==0.17.1
  threadpoolctl==3.2.0
  tinycss2==1.2.1
  tornado==6.3.2
  tqdm==4.66.4
  traitlets==5.9.0
  typing_extensions==4.7.1
  tzdata==2023.3
  uri-template==1.3.0
  url-normalize==1.4.3
  urllib3==2.0.3
  wcwidth==0.2.6
  webcolors==1.13
  webencodings==0.5.1
  websocket-client==1.6.1
  xgboost==2.0.3
  xlrd==2.0.1
  XlsxWriter==3.1.2
  zipp==3.16.0

• Error:

from Orange.data import Table
from Orange.preprocess import Impute, Model
from Orange.modelling import TreeLearner
df = pd.DataFrame([["a", "x"],
                   [np.nan, "y"],
                   ["a", np.nan]])
data = Table(df)
imputer = Impute(method=Model(TreeLearner()))
impute_heart = imputer(data)

---

ModuleNotFoundError Traceback (most recent call last)
Cell In[6], line 1
----> 1 from Orange.data import Table
2 from Orange.preprocess import Impute, Model
3 from Orange.modelling import TreeLearner

File /usr/local/lib64/python3.9/site-packages/Orange/init.py:4
1 # This module is a mixture of imports and code, so we allow import anywhere
2 # pylint: disable=wrong-import-position,wrong-import-order
----> 4 from Orange import data
6 from .misc.lazy_module import _LazyModule
7 from .misc.datasets import _DatasetInfo

File /usr/local/lib64/python3.9/site-packages/Orange/data/init.py:12
10 from .io import *
11 from .filter import *
---> 12 from .pandas_compat import *
13 from .aggregate import *

File /usr/local/lib64/python3.9/site-packages/Orange/data/pandas_compat.py:9
7 import pandas as pd
8 from pandas.core.arrays import SparseArray
----> 9 from pandas.core.arrays.sparse.dtype import SparseDtype
10 from pandas.api.types import (
11 is_categorical_dtype, is_object_dtype,
12 is_datetime64_any_dtype, is_numeric_dtype, is_integer_dtype
13 )
15 from Orange.data import (
16 Table, Domain, DiscreteVariable, StringVariable, TimeVariable,
17 ContinuousVariable,
18 )

ModuleNotFoundError: No module named 'pandas.core.arrays.sparse.dtype'

[markotoplak]

I tried recreating your environment, and downgrading pandas to 2.0.3 solved the issue. Therefore, try installing pandas==2.0.3 with pip.

I also noticed that your are using an old version of Orange. The latest version, 3.37.0, should not have this problem (I remembered that we fixed something like this). Perhaps better than the above recommendation, could you try to upgrade orange3: pip install -U orange3 or pip install orange3==3.37.0.