AshutoshGupta-101703118-Outlier-removal

A small example package for removal of outliers in the given dataset

These details have not been verified by PyPI

Project description

Outliers removal from the given dataset using z-score and threshold is assumed as 1.5.

These details have not been verified by PyPI

This version

0.1.3

Feb 9, 2020

0.0.2

Feb 9, 2020

0.0.1

Feb 9, 2020

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Uploaded Feb 9, 2020 Source

Uploaded Feb 9, 2020 Python 3

Details for the file AshutoshGupta_101703118_Outlier_removal-0.1.3.tar.gz.

Download URL: AshutoshGupta_101703118_Outlier_removal-0.1.3.tar.gz
Upload date: Feb 9, 2020
Size: 1.8 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.1

Hashes for AshutoshGupta_101703118_Outlier_removal-0.1.3.tar.gz
Algorithm	Hash digest
SHA256	`515f4a26607d9a5cf8172a134b19ac0d28cc0408ec214c1392161bcbaeaeda85`
MD5	`772ba5634b57110e3a9e4672df0fa19d`
BLAKE2b-256	`db70cff27d0b5c0a26a448e788c12221470b08eb01e01aadcf41cfb64803718e`

Details for the file AshutoshGupta_101703118_Outlier_removal-0.1.3-py3-none-any.whl.

Download URL: AshutoshGupta_101703118_Outlier_removal-0.1.3-py3-none-any.whl
Upload date: Feb 9, 2020
Size: 2.7 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.21.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.28.1 CPython/3.7.1

Hashes for AshutoshGupta_101703118_Outlier_removal-0.1.3-py3-none-any.whl
Algorithm	Hash digest
SHA256	`d0d906ba85a174eac199028580e3a75c14b64518651db22b013bb86dadea868f`
MD5	`a484d0aa23ff3fb6dd43729db373b817`
BLAKE2b-256	`bb3a3dabec26f47dc6c782d817adc9b7e37c50945b5e96005caba878886aa778`