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sbrugmanieaves
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Visions integration (ydataai#570)
* Visions integration Co-authored-by: ieaves <[email protected]>
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.github/workflows/ci_test.yml

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matrix:
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os: [ ubuntu-latest ]
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python-version: [ 3.8 ]
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pandas: ["<1", "==1.0.5", ">1.1"]
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pandas: ["==0.25.3", "==1.0.5", ">1.1"]
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include:
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- os: macos-latest
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python-version: 3.6
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pandas: ">1.1"
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- os: windows-latest
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python-version: 3.6
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pandas: ">1.1"
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# - os: windows-2016
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# python-version: 3.6
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# pandas: ">1.1"
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- os: ubuntu-latest
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python-version: 3.6
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pandas: ">1.1"

.pre-commit-config.yaml

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rev: "3.8.4"
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hooks:
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- id: flake8
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args: [ "--select=E9,F63,F7,F82" ]
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args: [ "--select=E9,F63,F7,F82"] #,T001
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# additional_dependencies:
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# - flake8-print

MANIFEST.in

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# Include license, Readme, etc.
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include LICENSE
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include *.md
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include mypy.ini
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include src/pandas_profiling/py.typed
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# Styles
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include src/pandas_profiling/visualisation/*.mplstyle

Makefile

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test_cov:
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pytest --cov=. tests/unit/
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pytest --cov=. tests/issues/
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pytest --cov=. --nbval tests/notebooks/
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pytest --cov=. --cov-append tests/issues/
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pytest --cov=. --cov-append --nbval tests/notebooks/
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pandas_profiling -h
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make typing
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README.md

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* [Stata Auto](https://pandas-profiling.github.io/pandas-profiling/examples/master/stata_auto/stata_auto_report.html) (1978 Automobile data)
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* [Vektis](https://pandas-profiling.github.io/pandas-profiling/examples/master/vektis/vektis_report.html) (Vektis Dutch Healthcare data)
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* [Colors](https://pandas-profiling.github.io/pandas-profiling/examples/master/colors/colors_report.html) (a simple colors dataset)
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* [UCI Bank Dataset](https://pandas-profiling.github.io/pandas-profiling/examples/master/cbank_marketing_data/uci_bank_marketing_report.html) (banking marketing dataset)
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Specific features:
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examples/features/images_cats_and_dogs.py

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profile.set_variable("plot.scatter_threshold", 25000)
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# Enable files and images (off by default, as it uses relatively expensive computations when not interested)
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profile.set_variable("vars.path.active", True)
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profile.set_variable("vars.file.active", True)
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profile.set_variable("vars.image.active", True)
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examples/features/urls.py

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profile = ProfileReport(
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df,
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title="Website Inaccessibility Test Lists",
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correlations={"cramers": {"calculate": False}},
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vars=dict(url=dict(active=True)),
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)
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profile.to_file(Path("./website_inaccessibility_report.html"))

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