Project description

Usage

def remove_outlier(df, col, partitionby=None, kernel='both', n_std=2, eps=1e-5):
    """
    :param col: label column
    :param partitionby: remove outliers in each partition
    :param kernel: kernel options: ["std", "quartile", "both"]
    :type df: pandas.DataFrame
    :type col: str
    :type partitionby: list
    :type kernel: str
    :type n_std: int
    :type eps: float
    :return: pandas.DataFrame
    """

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

This version

0.2

Feb 14, 2019

0.1

Feb 14, 2019

Download files

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

Source Distribution

outlier-0.2.tar.gz (3.2 kB view hashes)

Uploaded Feb 14, 2019 Source

Built Distribution

outlier-0.2-py3-none-any.whl (6.6 kB view hashes)

Uploaded Feb 14, 2019 Python 3

Hashes for outlier-0.2.tar.gz

Hashes for outlier-0.2.tar.gz
Algorithm	Hash digest
SHA256	`24b370b28d794c26d645d2ba47da724630f0e39eb7956417e83449e3024f5491`
MD5	`a3db77393315511161391088ece6b863`
BLAKE2b-256	`c5124c4f58c492e95da780eca4c26902109bbc2d7428d93c06bc4adb954260f0`

Hashes for outlier-0.2-py3-none-any.whl

Hashes for outlier-0.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`592237362e0d244745203a6cb4b56c77f1fdf80471c04a56e285ed571fd3c7e6`
MD5	`febe3de5a1771bcdc7a85fd99a0e8091`
BLAKE2b-256	`0610493a4e7727315dd920a0d55c604ed03e2c6832077edd5153ecb066ebc7a0`