It takes the dataframe and returns the outliers and other outliers related stats
Installation pip install detect-outliers
How to use it?
This class will initialize Pandas Data frame
from EdaFirstPhase.eda import EDA
get_outliers_report() –> This method will print the outliers report
from EdaFirstPhase.eda import EDA
data = EDA(data=”train_data”,”y”,path = “/”)
You need to pass data=”train_data”,”y”,path = “/”
Release files for outliers-detection 0.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| outliers-detection-0.12.tar.gz | 2.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| outliers_detection-0.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.2 kB
Release files / outliers-detection-0.12.tar.gz
| Download URL | outliers-detection-0.12.tar.gz |
|---|---|
| Size | 2.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.7
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Release files / outliers_detection-0.12-py3-none-any.whl
| Download URL | outliers_detection-0.12-py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.7
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