pandas-profiling

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3.6.6

pandas_profiling-3.6.6-py2.py3-none-any.whl

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Project:	pandas-profiling
Version:	3.6.6
Filename:	pandas_profiling-3.6.6-py2.py3-none-any.whl
Download:	[link]
Size:	324362
MD5:	5c17754958b92c4f5fcd59d868a051b2
SHA256:	69297626426358672ccbb357abbfea7fa35a7feda4388dd6377bd521d15cfaf2
Uploaded:	2023-01-31 11:18:15 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

WHEEL

RECORD

Path	Digest	Size
pandas_profiling/__init__.py	sha256=ZSqkYvFvZUmmgXgZfXGr447IALHmM9DfSgukZtB0ZOs	648
pandas_profiling/compare_reports.py	sha256=hkfgWzTTCiye1LxmQMnQahfCIPrR0s5RqobfCMXU8z4	10567
pandas_profiling/config.py	sha256=Z_YSr_hDiaEJqyZnChdZMKD5WdZmQc1YDsEl8hmJr-E	11128
pandas_profiling/config_default.yaml	sha256=SsCkQXwn72sO-A7xtWvTHmTC7UT3JFluO3QVXO2QEU0	4479
pandas_profiling/config_minimal.yaml	sha256=LKWS4MmxmCRCorjuPdeTdkSZ5gvbZMltkppAlpZZACA	4394
pandas_profiling/expectations_report.py	sha256=IxYqbu_j9HV6siFrXXAf32plOi4lAtcLypOq7LPs1YU	4491
pandas_profiling/profile_report.py	sha256=G4vqbyGZ_K0VK47wmrntUTX2F0HqY_MMlhrh5pLTH2Q	17430
pandas_profiling/serialize_report.py	sha256=2XBTiKT_K1itj3w3J3cvXNdqHvuzZFOHhFOOX50wfBU	4634
pandas_profiling/version.py	sha256=u1NvCVIP2HSmVLyB6OEgHEeyNIOjdjnHg6TAfXM3wFA	21
pandas_profiling/controller/__init__.py	sha256=dIdPawgQPumaIAPudYYkYcsf1lY8CBFRtpleO5HI5N8	100
pandas_profiling/controller/console.py	sha256=aOMJNkFeGkxoVTKSe8BGQm-rEN_faeq7MeJVt3Ni0iw	3196
pandas_profiling/controller/pandas_decorator.py	sha256=tcwa7aN_C0oR3zGuzHzBDg1B-u9ySHPIt3uuw1GfaWc	512
pandas_profiling/model/__init__.py	sha256=KK2Uc9CqJycZ6x-GATwyLRQE1Ie4U-cTOmjSyYiLWU0	114
pandas_profiling/model/alerts.py	sha256=KSNe4iUqw0EZpUJMVTzwz-VoQ1RQeXNxKeZF5yGXWkA	10966
pandas_profiling/model/correlations.py	sha256=VCFlZ7mK0LVprhDTbpNkTv1Q9WMiihxS1ThVmFF3yzM	4266
pandas_profiling/model/dataframe.py	sha256=cGhu1r24G9ROdTXLV43inPaXMv_jo93ij1UyKQBxKwY	270
pandas_profiling/model/describe.py	sha256=Si_eA4RuWWSY-_SEyUfCJ7N9ywWneJmnbbbnNVdIXiQ	6315
pandas_profiling/model/duplicates.py	sha256=7BZcxUGb78NkNl_kdeC53p_4fa2UmrqP6BallrD1b6I	345
pandas_profiling/model/expectation_algorithms.py	sha256=ZUVTPrfvUjddnkefUTio-_zDtlhWJOL5hoU478DWGOI	3226
pandas_profiling/model/handler.py	sha256=GKJgzUa3M4_D3TyK0mWRxzylBzXsZOsT3GarBrZeuMk	2345
pandas_profiling/model/missing.py	sha256=TofXZjUUXbNZhY4_GtgzakynEfizllcAKnyyI7KjE4g	3522
pandas_profiling/model/pairwise.py	sha256=X3aOBThy1YRzLXRM1ywxtJYQat3pSyIlSZDbMxt14WA	888
pandas_profiling/model/sample.py	sha256=vQtpSGyG2xU1copq24Ir98mtPKhUL6NCEyS4q2QDTPE	829
pandas_profiling/model/summarizer.py	sha256=4ZeJ4UJdoapNLQ9lRKV22fx8t3zVj5LcKJUrKa488-8	2819
pandas_profiling/model/summary.py	sha256=CbVh1cMq7voVlWRxkw_pcUlcoLutswGMrZU7c7keXoA	650
pandas_profiling/model/summary_algorithms.py	sha256=C2m2gIILSHUb7OdjD0s5rRbkInajU-z5yi3w2TYwAY4	4718
pandas_profiling/model/table.py	sha256=0KIOU1A5F-K2DnpzFwvrLI3k1cppNfzoA8lmxTzymek	231
pandas_profiling/model/typeset.py	sha256=Vy1dv3rUwvgmbJCa0Gt4FP3_A6LPN87FxmCZ0zyyz8Y	8365
pandas_profiling/model/typeset_relations.py	sha256=SlZiWI8QLf3TdjinUT9ULLtG2sQAUlZJfyEaPj27eKE	2890
pandas_profiling/model/pandas/__init__.py	sha256=3rAMw8UVQ3mymeCNA6Y3O2pa2n7chdROEjPZV_5K7qM	1096
pandas_profiling/model/pandas/correlations_pandas.py	sha256=FG48Oe0Md8-KReZaWSVe2_0KcK1OMbVIff_4SAp6g9A	6668
pandas_profiling/model/pandas/dataframe_pandas.py	sha256=qE6SngbPyscO4nMfx7_VO7DoGadCe0n1lMMHxMcxeXA	996
pandas_profiling/model/pandas/describe_boolean_pandas.py	sha256=aaQoO2X_JigmsP8t2BrrGMm-GaWkXWVYjcWGi2hu0xU	988
pandas_profiling/model/pandas/describe_categorical_pandas.py	sha256=8yMeWb1EYcsbaUJaXj-EKzLxn_koMGIdDUZK02Dqj38	9289
pandas_profiling/model/pandas/describe_counts_pandas.py	sha256=zvfhp4l3O5UmA1-gjFxV7e19whAVxbjFO41GdXzgReo	1845
pandas_profiling/model/pandas/describe_date_pandas.py	sha256=v3DlHfe4IzOFgvFwa_iwXAL3K7Wdm85N0yB04da9DOs	1237
pandas_profiling/model/pandas/describe_file_pandas.py	sha256=v_z3SIt3F06v24JsJ-WvLET0pE3SjhmQKBRusIAdGuw	1511
pandas_profiling/model/pandas/describe_generic_pandas.py	sha256=iObMximSr9O0MziLYzA9WOr30473QQy3KvH8i0Nat2I	970
pandas_profiling/model/pandas/describe_image_pandas.py	sha256=-nQ5XbF8O1VLD_XNGjEg4i-LVsG4AFDUSqD0kH4o40U	5833
pandas_profiling/model/pandas/describe_numeric_pandas.py	sha256=O0PcsyKwHFz-wzFrA1fltuSXi_r6V-Z_GV6kh6LmSCk	5224
pandas_profiling/model/pandas/describe_path_pandas.py	sha256=zHd6YYLJwdL9brPIboR7etFVBqy5dTjt1YATXlu-2MA	1935
pandas_profiling/model/pandas/describe_supported_pandas.py	sha256=dIr1BzPvA1ZgOX7X8Qp5ClhaYyKlHUB8HmQdgjWYABI	1283
pandas_profiling/model/pandas/describe_timeseries_pandas.py	sha256=wnqFWKbjaaDF2JtbDoQ0CfVcWDP4KfiSVKEolFFQeU8	5141
pandas_profiling/model/pandas/describe_url_pandas.py	sha256=LfJ8BLGIFCebdRFEwl4FL8nQ1SPhnDvtvHtQOhF0Kqk	1506
pandas_profiling/model/pandas/discretize_pandas.py	sha256=PNeMVJSCCq-SeO01hJAX6NzhtqPhzWNzXs8f1UuWT10	2635
pandas_profiling/model/pandas/duplicates_pandas.py	sha256=-yoEmpJw-JQF8V7C7ZH07yzDR0DKl2z9Hj5k1CaBrh0	1901
pandas_profiling/model/pandas/imbalance_pandas.py	sha256=IPSgHhX1WclUIEsCH-3mnSg83tXEzSUJo8Gk2kJ0vWE	1762
pandas_profiling/model/pandas/missing_pandas.py	sha256=xtJtRojWylRCMx5F4v4HRw1ZHr0D7K96HiXKKjtJt7U	696
pandas_profiling/model/pandas/sample_pandas.py	sha256=4gNPSErSQBzGXRTNLb-CAWaBK0jL8lRawFazx4jlpqs	1010
pandas_profiling/model/pandas/summary_pandas.py	sha256=gUEhcX-tHdZlrw1cEy9FLg8nu7E4EjtEUv6SNTGRQA8	3287
pandas_profiling/model/pandas/table_pandas.py	sha256=Of5AGG6Zo4_Y4NbYZZVRqkD111OmWh5_z-TurxXfZn4	1705
pandas_profiling/model/pandas/utils_pandas.py	sha256=ETZn-0r7yHBaXxN5lpuwwwP343R77AwvdLLOYKpgkv4	805
pandas_profiling/report/__init__.py	sha256=420PkZX3VjBqZ5hEw1UAFMYuLncfO3WBKMSof2PxPP0	175
pandas_profiling/report/formatters.py	sha256=DwLPhNFlOp7EHDRnSQ9FhAnJNCAMg85q0NU8kTwpGZM	9093
pandas_profiling/report/presentation/__init__.py	sha256=k-d1eczOClIEvrxmwUWip6cbXv9CCKppFEUJfWQiwUc	33
pandas_profiling/report/presentation/frequency_table_utils.py	sha256=jDeetQPQEILoMuVHgg5HGkPyBZvkATosjFtZ-kfMCxw	3960
pandas_profiling/report/presentation/core/__init__.py	sha256=U0geKO6GIdkC6ild3KkBFjTNOw85lVEC1nck4JVnG6Y	1489
pandas_profiling/report/presentation/core/alerts.py	sha256=loKmD6X1jCQ_gJsAZ1SQIl-qvM_nu7QosGt45u22wSI	554
pandas_profiling/report/presentation/core/collapse.py	sha256=jm92pU_7P7WHbm8AHDQpTbFtn2cpUHTSlS_XnWxHUaE	846
pandas_profiling/report/presentation/core/container.py	sha256=5HQrEbYHODE15yWIU26jF8rCp1Xi6nyIhnFcIMVsnK4	1373
pandas_profiling/report/presentation/core/correlation_table.py	sha256=hQiWYMcEfPA8E96TkDq2dcTj1ynoNVoFccxgYfE2z2g	546
pandas_profiling/report/presentation/core/dropdown.py	sha256=u-4e8YUTC2IDv3X5_AEFRGzvvtX5xBA_XZCRiOjLv8g	991
pandas_profiling/report/presentation/core/duplicate.py	sha256=KsBuA3tX9G992_VLyM70HgNmwYuYAMuu4m_ODAiugvU	439
pandas_profiling/report/presentation/core/frequency_table.py	sha256=eTOCpWKK0vSXax0SZ_l85hDJB2k96pSrokr4GadbRgM	421
pandas_profiling/report/presentation/core/frequency_table_small.py	sha256=gjTj2YDVoHqoStbCYvt6w-qLRsRLs0e8BIuhiCqz7FE	470
pandas_profiling/report/presentation/core/html.py	sha256=qcTIQE-Oma77tYF31r6K0Bc6L7E78fcTcVryvuSYgSA	363
pandas_profiling/report/presentation/core/image.py	sha256=4jIA3Eu-nEUdN7X5sm6eExxvW2QmuIZjyDnDrHVMjYY	841
pandas_profiling/report/presentation/core/item_renderer.py	sha256=i6OGfGAkL4tmOQHlG0l7sHTLg6zdhZxtJVNY_3Tpr9Q	461
pandas_profiling/report/presentation/core/renderable.py	sha256=awXoWc-0yHeDqIt7QyHtH1IfouF3Qw5xovBbn-lNc2U	1055
pandas_profiling/report/presentation/core/root.py	sha256=8CLO0hxBUDorg-yhSgyi580rd-FvPuBUVAxntBknFew	974
pandas_profiling/report/presentation/core/sample.py	sha256=Fq4nXhBOiYH7NszmszDAdtIxr9kHmdKowSvwbTmtaRY	518
pandas_profiling/report/presentation/core/table.py	sha256=ZcnSmhM5onekqcgiYqhQ-YzKtz_IA7WY2qIAFMtdp3U	650
pandas_profiling/report/presentation/core/toggle_button.py	sha256=8QsUbK82v5tGBU4od0qt2Uf_ovqoBo3PELMjaKBXkXk	382
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pandas_profiling/report/presentation/flavours/html/alerts.py	sha256=07hsFcRbi-L0B6Zcuu7hKMdpljFqlUUpUTTkoXGuLec	923
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pandas_profiling-3.6.6.dist-info/RECORD	—	—

top_level.txt

entry_points.txt