outlier_remover
A outlier removal tool, removes outlier row-wise using z-score or InterQuartile Range method
PyPI Project link here
Usage
Use below commands to install and use- pip install outlier-remover-csv
- python3 >>>from outlier import outlier
>>>t = outlier.outlier(input_filename,output_filename,[method])
e.g 1. t = outlier.outlier("mydata.csv","out.csv","z_score")
e.g 2. t = outlier.outlier("mydata.csv","out.csv")
Release files for outlier-remover-csv 1.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| outlier-remover-csv-1.0.6.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| outlier_remover_csv-1.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.4 kB
Release files / outlier-remover-csv-1.0.6.tar.gz
| Download URL | outlier-remover-csv-1.0.6.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.6.9
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Release files / outlier_remover_csv-1.0.6-py3-none-any.whl
| Download URL | outlier_remover_csv-1.0.6-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.6.9
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