Remove outliers with some methods
Project description
This is the utils library for removing outliers.
Smirnov Grubbs Tests
>>> from outliers import smirnov_grubbs as grubbs >>> import pandas as pd >>> data = pd.Series([1, 8, 9, 10, 9]) >>> grubbs.test(data, 0.05) 1 8 2 9 3 10 4 9 dtype: int64 >>> import numpy as np >>> data = np.array([1, 8, 9, 10, 9]) >>> grubbs.test(data, 0.05) [ 8 9 10 9]
CHANGES
0.0.2 (2015-12-02)
Update setup.py
0.0.1 (2015-12-01)
Publish to pypi
0.0.0 (2015-07-28)
Create this project.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
outlier_utils-0.0.2.tar.gz
(3.1 kB
view hashes)
Built Distribution
Close
Hashes for outlier_utils-0.0.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 974b39e86f3e69ca4ce3503b710b134105acd7512973b726f7715cb688c8fb00 |
|
MD5 | dcfa1c57606d1be9037bdb1a544bbbc4 |
|
BLAKE2b-256 | ed92749d9c6e87a25458ed28df9ceab96e47dbb67f507380dee2dccb0a561053 |