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]
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0.0.1 (2015-12-01)
Publish to pypi
0.0.0 (2015-07-28)
Create this project.
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Release files for outlier-utils 0.0.1
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| outlier_utils-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
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Release files / outlier_utils-0.0.1.tar.gz
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