Wheelodex » Projects » outlier_utils

outlier_utils

View on PyPI — Reverse Dependencies (5)

0.0.5

outlier_utils-0.0.5-py3-none-any.whl

Wheel Details

Project:	outlier_utils
Version:	0.0.5
Filename:	outlier_utils-0.0.5-py3-none-any.whl
Download:	[link]
Size:	5143
MD5:	`fc28198aec5a8d9fd722bbd896e3c725`
SHA256:	`2e16148a3fa7b2e16ad0a3b75d8c8920828b5cc11568795782d597d4cfb0b194`
Uploaded:	2023-08-31 16:10:25 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	outlier-utils
Version:	0.0.5
Summary:	Utility library for detecting and removing outliers from normally distributed datasets
Author-Email:	Masashi Shibata <contact[at]c-bata.link>
Project-Url:	Homepage, https://github.com/c-bata/outlier-utils
Project-Url:	Sources, https://github.com/c-bata/outlier-utils
Project-Url:	Bug Tracker, https://github.com/c-bata/outlier-utils/issues
License:	MIT License
Classifier:	Development Status :: 3 - Alpha
Classifier:	Intended Audience :: Science/Research
Classifier:	Topic :: Scientific/Engineering
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Programming Language :: Python
Classifier:	Programming Language :: Python :: 3
Requires-Dist:	numpy
Requires-Dist:	scipy
Description-Content-Type:	text/x-rst
License-File:	LICENSE

[Description omitted; length: 1818 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.41.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
outliers/__init__.py	sha256=NaLv1FX5tXro9GS3z7PomvObYfPlxamOJ2XkWXflYOw	69
outliers/smirnov_grubbs.py	sha256=UH6bN6OWPvCeoU1HYeUaVOkNX3bjh_livr1L0u74av8	7353
outlier_utils-0.0.5.dist-info/LICENSE	sha256=DRAVl9Mf6wuEb5UGlWKCfuHptixopNw0p-Gc-XI0LGc	1086
outlier_utils-0.0.5.dist-info/METADATA	sha256=4iIWA3Mg_FMsVeu-o0Umow-cpJSf4qhAQbzsjuOh2uU	2624
outlier_utils-0.0.5.dist-info/WHEEL	sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A	92
outlier_utils-0.0.5.dist-info/top_level.txt	sha256=MqL_NxF-1it4mm2OWv3drqsg8Mpzs79xZEfCk8M_EW4	9
outlier_utils-0.0.5.dist-info/RECORD	—	—

top_level.txt

outliers