This Python package is created to remove outlier rows from a dataset. To use thi dataset you ned to create a pandas dataframe(you can use pd.read_csv() to do it), and to to use this package your dataset should have only numerical values and if you have any strings then you can use one hot encoding or simple label encoder to do that, but make sure before using it that it is all done. Now this function takes one argument that is the dataframe. and your df variable will now contain the new data which will not contain outlier rows and this function will also print the number of rows deleted! THANKS! Aarshi Arora 101703005 COE-1 Thapar Institute of Engineering and Technology
Metadata
Release files for outliers-aarshi 0.0.1
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_aarshi-0.0.1.tar.gz | 2.1 kB | Details |
Release files / outliers_aarshi-0.0.1.tar.gz
| Download URL | outliers_aarshi-0.0.1.tar.gz |
|---|---|
| Size | 2.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
351372ff62af8fedee57b35cabf4e2c75c20e731dd32d7f44f5b9b6aea06a99d
|
|
BLAKE2b-256 checksum How to use checksums |
f4c9f30b5622412faa58cbf63b9998cfd6a6cd97eef44ccc6d16eafcaa46e038
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
|