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/opt/conda/lib/python3.6/site-packages/pandas_profiling/model/correlations.py:126: UserWarning: There was an attempt to calculate the cramers correlation, but this failed. #329

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JijoThankachan opened this issue Jan 14, 2020 · 2 comments
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/opt/conda/lib/python3.6/site-packages/pandas_profiling/model/correlations.py:126: UserWarning: There was an attempt to calculate the cramers correlation, but this failed. #329

JijoThankachan opened this issue Jan 14, 2020 · 2 comments
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information requested ❔ Cannot reproduce, waiting for minimum reproduction details.

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@JijoThankachan
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'The internally computed table of expected frequencies has a zero element at (0, 5).')
correlation_name=correlation_name, error=error
@sbrugman
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Could you provide the minimal information to reproduce this error?

  • the minimal code you are using to generate the report
  • which environment you are using (jupyter notebook, console or IDE) and packages (pip freeze > packages.txt)
  • a sample or description of the dataset (df.head(), df.info())

@sbrugman sbrugman added the information requested ❔ Cannot reproduce, waiting for minimum reproduction details. label Jan 23, 2020
sbrugman added a commit that referenced this issue Feb 14, 2020
@sbrugman
Commit for pandas-profiling v2.5.0
18feb0c 
- Progress bar added (#224)
- Character analysis for Text/NLP (#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (#362; #281, #259, #253, #234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (#377, fixed).
- Pandas v1.0.X is not yet supported (#367, #366, #363, #353, pinned pandas to < 1)
- Improved mixed type detection (#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, #329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (#349)
- The overview section is tabbed.
@sbrugman sbrugman mentioned this issue Feb 14, 2020
Merged
sbrugman added a commit that referenced this issue Feb 14, 2020
@sbrugman
Commit for pandas-profiling v2.5.0
d742e03 
- Progress bar added (#224)
- Character analysis for Text/NLP (#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (#362; #281, #259, #253, #234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (#377, fixed).
- Pandas v1.0.X is not yet supported (#367, #366, #363, #353, pinned pandas to < 1)
- Improved mixed type detection (#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, #329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (#349)
- The overview section is tabbed.
sbrugman added a commit that referenced this issue Feb 14, 2020
@sbrugman
Commit for pandas-profiling v2.5.0 (#380)
123e443 
- Progress bar added (#224)
- Character analysis for Text/NLP (#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (#362; #281, #259, #253, #234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (#377, fixed).
- Pandas v1.0.X is not yet supported (#367, #366, #363, #353, pinned pandas to < 1)
- Improved mixed type detection (#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, #329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (#349)
- The overview section is tabbed.

* Commit for pandas-profiling v2.5.0

- Progress bar added (#224)
- Character analysis for Text/NLP (#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (#362; #281, #259, #253, #234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (#377, fixed).
- Pandas v1.0.X is not yet supported (#367, #366, #363, #353, pinned pandas to < 1)
- Improved mixed type detection (#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, #329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (#349)
- The overview section is tabbed.
@github-actions
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Stale issue

chanedwin pushed a commit to chanedwin/pandas-profiling that referenced this issue Oct 11, 2020
@sbrugman
Commit for pandas-profiling v2.5.0 (ydataai#380)
a565e4b 
- Progress bar added (ydataai#224)
- Character analysis for Text/NLP (ydataai#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (ydataai#362; ydataai#281, ydataai#259, ydataai#253, ydataai#234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (ydataai#377, fixed).
- Pandas v1.0.X is not yet supported (ydataai#367, ydataai#366, ydataai#363, ydataai#353, pinned pandas to < 1)
- Improved mixed type detection (ydataai#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, ydataai#329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (ydataai#349)
- The overview section is tabbed.

* Commit for pandas-profiling v2.5.0

- Progress bar added (ydataai#224)
- Character analysis for Text/NLP (ydataai#278)
- Themes: configuration and demo's (Orange, Dark)
- Tutorial on modifying the report's structure (ydataai#362; ydataai#281, ydataai#259, ydataai#253, ydataai#234). This jupyter notebook also demonstrates how to use the Kaggle api together with pandas-profiling.
- Toggle descriptions at correlations.

Deprecation:

- This is the last version to support Python 3.5.

Stability:

- The order of columns changed when sort="None" (ydataai#377, fixed).
- Pandas v1.0.X is not yet supported (ydataai#367, ydataai#366, ydataai#363, ydataai#353, pinned pandas to < 1)
- Improved mixed type detection (ydataai#351)
- Refactor of report structures.
- Correlations are more stable (e.g. Phi_k color scale now from 0-1, rows and columns with NaN values are dropped, ydataai#329).
- Distinct counts exclude NaNs.
- Fixed alerts in notebooks.

Other improvements:

- Warnings are now sorted.
- Links to Binder and Google Colab are added for notebooks (ydataai#349)
- The overview section is tabbed.
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