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Commit for pandas-profiling v2.5.0 #380

Merged
merged 6 commits into from
Feb 14, 2020
Merged

Commit for pandas-profiling v2.5.0 #380

merged 6 commits into from
Feb 14, 2020

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sbrugman
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@sbrugman sbrugman commented Feb 14, 2020

Deprecation:

  • This is the last version to support Python 3.5.

Stability:

Other improvements:

  • End datetime added to the report.
  • Warnings are now sorted.
  • Links to Binder and Google Colab are added for notebooks in Readme (Interactive notebook demo's #349)
  • The overview section is tabbed.

sbrugman and others added 2 commits February 14, 2020 01:33
- 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.
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codecov bot commented Feb 14, 2020

Codecov Report

Merging #380 into master will increase coverage by 2.63%.
The diff coverage is 83.08%.

Impacted file tree graph

@@            Coverage Diff             @@
##           master     #380      +/-   ##
==========================================
+ Coverage   84.97%   87.61%   +2.63%     
==========================================
  Files          88       96       +8     
  Lines        1964     2140     +176     
==========================================
+ Hits         1669     1875     +206     
+ Misses        295      265      -30
Flag Coverage Δ
#examples 30.29% <30.24%> (-0.1%) ⬇️
#issue 80.74% <81.1%> (-2.26%) ⬇️
#unit 85.56% <82.16%> (-14.44%) ⬇️
Impacted Files Coverage Δ
...ling/report/presentation/flavours/html/sequence.py 92.85% <ø> (ø) ⬆️
src/pandas_profiling/utils/cache.py 77.77% <ø> (ø) ⬆️
tests/issues/test_issue51.py 100% <ø> (ø) ⬆️
tests/unit/test_console.py 100% <ø> (ø) ⬆️
setup.py 0% <0%> (ø) ⬆️
...ofiling/report/structure/variables/render_count.py 26.08% <0%> (ø) ⬆️
...iling/report/structure/variables/render_complex.py 26.66% <0%> (ø) ⬆️
...profiling/report/presentation/flavours/flavours.py 60% <0%> (ø) ⬆️
...ling/report/presentation/flavours/html/collapse.py 100% <100%> (ø)
src/pandas_profiling/report/structure/overview.py 100% <100%> (ø)
... and 87 more

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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- 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 merged commit 123e443 into master Feb 14, 2020
@sbrugman sbrugman deleted the v2.5.0 branch February 14, 2020 09:34
chanedwin pushed a commit to chanedwin/pandas-profiling that referenced this pull request 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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