TraitError: n_rows and n_columns must be positive integer

[kovar-ursa]

Describe the bug

When running profile.to_widgets() on this error was generated when it tried to present the widget:

TraitError: n_rows and n_columns must be positive integer

To Reproduce

<class 'pandas.core.frame.DataFrame'>
DatetimeIndex: 42492 entries, 2021-06-01 08:58:47+00:00 to 2021-06-30 00:38:09+00:00
Data columns (total 13 columns):
 #   Column          Non-Null Count  Dtype                     
---  ------          --------------  -----                     
 0   AeroscopeID     42492 non-null  string                    
 1   DroneType       42492 non-null  string                    
 2   Callsign        42492 non-null  string                    
 3   FlightID        42492 non-null  string                    
 4   Latitude        42492 non-null  float64                   
 5   Longitude       42492 non-null  float64                   
 6   Speed           42492 non-null  float64                   
 7   AGL             42492 non-null  float64                   
 8   HomeLongitude   42492 non-null  float64                   
 9   HomeLatitude    42492 non-null  float64                   
 10  PilotLongitude  42492 non-null  float64                   
 11  PilotLatitude   42492 non-null  float64                   
 12  TimeLocal       42492 non-null  datetime64[ns, US/Eastern]
dtypes: datetime64[ns, US/Eastern](1), float64(8), string(4)
memory usage: 4.5 MB

The dataset it sensitive and cannot be shared.

Version information:

python 3.9.7

Click to expand Version information

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file:///home/conda/feedstock_root/build_artifacts/ipywidgets_1631590360471/work jedi @ file:///Users/runner/miniforge3/conda-bld/jedi_1610146808808/work Jinja2 @ file:///home/conda/feedstock_root/build_artifacts/jinja2_1621419064915/work jmespath @ file:///home/conda/feedstock_root/build_artifacts/jmespath_1589369830981/work joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1612898609989/work json5 @ file:///home/conda/feedstock_root/build_artifacts/json5_1600692310011/work jsonschema @ file:///home/conda/feedstock_root/build_artifacts/jsonschema_1614815863336/work jupyter @ file:///Users/runner/miniforge3/conda-bld/jupyter_1611871926923/work jupyter-client @ file:///home/conda/feedstock_root/build_artifacts/jupyter_client_1632841627383/work jupyter-console @ file:///home/conda/feedstock_root/build_artifacts/jupyter_console_1616560109969/work jupyter-core==4.8.1 jupyter-server @ file:///home/conda/feedstock_root/build_artifacts/jupyter_server_1631218027728/work jupyterlab @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_1631631911084/work jupyterlab-pygments==0.1.2 jupyterlab-server @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_server_1632590716858/work jupyterlab-widgets @ file:///home/conda/feedstock_root/build_artifacts/jupyterlab_widgets_1631590465624/work kiwisolver @ file:///Users/runner/miniforge3/conda-bld/kiwisolver_1630173773255/work mapclassify @ file:///home/conda/feedstock_root/build_artifacts/mapclassify_1627363180059/work MarkupSafe @ file:///Users/runner/miniforge3/conda-bld/markupsafe_1621455730541/work matplotlib @ file:///Users/runner/miniforge3/conda-bld/matplotlib-suite_1632416605047/work matplotlib-inline @ file:///home/conda/feedstock_root/build_artifacts/matplotlib-inline_1631080358261/work missingno==0.5.0 mistune @ file:///Users/runner/miniforge3/conda-bld/mistune_1624941339085/work multimethod==1.6 munch==2.5.0 nbclassic @ file:///home/conda/feedstock_root/build_artifacts/nbclassic_1631880505492/work nbclient @ file:///home/conda/feedstock_root/build_artifacts/nbclient_1629120697898/work nbconvert @ file:///Users/runner/miniforge3/conda-bld/nbconvert_1632536029521/work nbformat==5.1.3 nest-asyncio @ file:///home/conda/feedstock_root/build_artifacts/nest-asyncio_1617163391303/work networkx @ file:///home/conda/feedstock_root/build_artifacts/networkx_1598210780226/work notebook==6.4.4 numpy @ file:///Users/runner/miniforge3/conda-bld/numpy_1629092076711/work olefile @ file:///home/conda/feedstock_root/build_artifacts/olefile_1602866521163/work packaging @ file:///home/conda/feedstock_root/build_artifacts/packaging_1625323647219/work pandas==1.3.3 pandas-profiling==3.1.0 pandocfilters @ file:///home/conda/feedstock_root/build_artifacts/pandocfilters_1631603243851/work parso @ file:///home/conda/feedstock_root/build_artifacts/parso_1617148930513/work pexpect @ file:///home/conda/feedstock_root/build_artifacts/pexpect_1602535608087/work phik==0.12.0 pickleshare @ file:///home/conda/feedstock_root/build_artifacts/pickleshare_1602536217715/work Pillow @ file:///Users/runner/miniforge3/conda-bld/pillow_1630696651849/work prometheus-client @ file:///home/conda/feedstock_root/build_artifacts/prometheus_client_1622586138406/work prompt-toolkit @ file:///home/conda/feedstock_root/build_artifacts/prompt-toolkit_1629903925368/work protobuf==3.18.0 ptyprocess @ file:///home/conda/feedstock_root/build_artifacts/ptyprocess_1609419310487/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl pyarrow==5.0.0 pycparser @ file:///home/conda/feedstock_root/build_artifacts/pycparser_1593275161868/work pydantic==1.8.2 pydeck @ file:///home/conda/feedstock_root/build_artifacts/pydeck_1630093567483/work Pygments @ file:///home/conda/feedstock_root/build_artifacts/pygments_1629119114968/work pyOpenSSL @ file:///home/conda/feedstock_root/build_artifacts/pyopenssl_1608055815057/work pyparsing==2.4.7 pyproj @ file:///Users/runner/miniforge3/conda-bld/pyproj_1632526447121/work PyQt5==5.12.3 PyQt5_sip==4.19.18 PyQtChart==5.12 PyQtWebEngine==5.12.1 pyrsistent @ file:///Users/runner/miniforge3/conda-bld/pyrsistent_1624984762901/work PySocks @ file:///Users/runner/miniforge3/conda-bld/pysocks_1610291470465/work python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/python-dateutil_1626286286081/work pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1612179539967/work PyWavelets==1.1.1 PyYAML==5.4.1 pyzmq @ file:///Users/runner/miniforge3/conda-bld/pyzmq_1631793531263/work qtconsole @ file:///home/conda/feedstock_root/build_artifacts/qtconsole_1625023841584/work QtPy @ file:///home/conda/feedstock_root/build_artifacts/qtpy_1632440819550/work requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1626393743643/work requests-unixsocket==0.2.0 Rtree @ 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testpath @ file:///home/conda/feedstock_root/build_artifacts/testpath_1621261527237/work threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1626092076920/work toml==0.10.2 toolz @ file:///home/conda/feedstock_root/build_artifacts/toolz_1600973991856/work tornado @ file:///Users/runner/miniforge3/conda-bld/tornado_1625488906146/work tqdm==4.62.3 traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1630423529112/work typing-extensions==3.10.0.2 tzlocal==3.0 urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1632350318291/work validators==0.18.2 vega-datasets @ file:///home/conda/feedstock_root/build_artifacts/vega_datasets_1606414058616/work visions==0.7.4 wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1600965781394/work webencodings==0.5.1 websocket-client @ file:///Users/runner/miniforge3/conda-bld/websocket-client_1610127894508/work widgetsnbextension @ file:///Users/runner/miniforge3/conda-bld/widgetsnbextension_1605475534277/work zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1625284368454/work ```

[SebastianLarssonDTU]

I got the exact same error. My data is also sensitive. Python version: 3.7.11

[srinivasramakrishnan]

I was seeing the same error when I was using profile.to_widgets() I tried profile.to_notebook_iframe() and it worked. I was using a notebook though

[sbrugman]

Please provide a minimal reproducible example and the stack trace to find the root cause.

[srinivasramakrishnan]

You can reproduce this with this public dataset - https://liangfgithub.github.io/F21/Ames_data.csv which is based on https://www.kaggle.com/c/house-prices-advanced-regression-techniques/data

when you run the code below, you see the following error:

import pandas as pd
import numpy as np
from pandas_profiling import ProfileReport

df = pd.read_csv("Ames_data.csv")
profile = ProfileReport(df, explorative=True, 
                        title="Ames Dataset", 
                        html={"style": {"full_width": True}}, sort=None)
profile.to_widgets()

/usr/local/lib/python3.7/site-packages/ipywidgets/widgets/widget_templates.py in _validate_integer(self, proposal)
    293         if proposal['value'] > 0:
    294             return proposal['value']
--> 295         raise TraitError('n_rows and n_columns must be positive integer')
    296 
    297     def _get_indices_from_slice(self, row, column):

TraitError: n_rows and n_columns must be positive integer

When I replace profile.to_widgets() with profile.to_notebook_iframe(), it works.

[wonyoungseo]

This seems to be a bug in v3.1.0 release, I downgraded to v3.0.0 and it works as it supposed to.

[AdamXCA]

I have the same problem as this, and I fixed it by the steps below.

1) uninstall pandas profiling 2) update Anaconda 3) update Notebook 4) !pip install https://github.com/pandas-profiling/pandas-profiling/archive/refs/tags/v3.0.0.zip

let me know if it works for you

[mickaelandrieu]

Hi, just to notice you I've managed to reproduce the issue too.

Also, the workaround for now is good :

replace profile.to_widgets() with profile.to_notebook_iframe()

[lmsasu]

This seems to be a bug in v3.1.0 release, I downgraded to v3.0.0 and it works as it supposed to.

The downgrade worked for me. Thanks.

[guillermo-carrasco]

I am having the same issue. Also using to_notebook_iframe() instead of to_widgets() seems to work, however the output is not as nice (you don't get all those well organized tabs)

[ApurvBhusari]

I was also having the same issue but after using to_notebook_iframe() . it worked for me . But there is a fix for to_widgets also. But downgrade your pandas profiling version from 3.1.0 to 3.0.0. pip install pandas_profiling==3.0.0. Make sure your pandas version is 1.3.5 . Hope this helps