Sort = None not working in config .yaml #377
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bug 🐛
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I could not reproduce the variables getting sorted in ascending order. However, the multithreading returns the variables in arbitrary order. The sort masked this behaviour afterwards. The next version will fix this issue and include additional tests on the sorting. |
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Thanks for the heads up. It was the multithreading option indeed. |
sbrugman
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Feb 14, 2020
- 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
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Feb 14, 2020
- 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
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Feb 14, 2020
- 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.
chanedwin
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Oct 11, 2020
- 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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Describe the bug
Same problem as:
#343 (comment)
but:
I think the sorting configuration is not working for sort: None, it does work for ascening and descending.
pandas_profiling version = 2.4.1
python version = 3.7.3
environtment = jupyter notebook
To Reproduce
profile = ProfileReport(df, title='Pandas Profiling Report', config_file='config_custom.yaml')
in config_custom.yaml...
sort: None
And the variables are getting sorted in ascending order.
Version information:
pandas_profiling version = 2.4.1
python version = 3.7.3
environtment = jupyter notebook
Additional context
The text was updated successfully, but these errors were encountered: