Project description
Package for removing outliers from a dataset
Naveen Budhwal
COE-16
Roll number: 101703362
Description
Package for removing outliers from a given dataset using the IQR method.
Installation
pip install outlier_naveen
Command Line Arguments
outlier_naveen <input_filename>.csv <output_filename>.csv
First argument is the input csv filename containing the dataset.
The second argument is the name of the output csv file that will store the modified dataset.
Use via py script
from outlier_naveen import remove_outliers
remove_outliers('<input_filename>.csv', '<output_filename>.csv')
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages .
Source Distribution
Built Distribution
File details
Details for the file outlier-naveen-1.1.tar.gz
.
File metadata
Download URL: outlier-naveen-1.1.tar.gz
Upload date:
Feb 14, 2020
Size: 2.1 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.8.1
File hashes
Hashes for outlier-naveen-1.1.tar.gz
Algorithm
Hash digest
SHA256
1d6f3434cd6f2787698de3e920dbf691e5f652fed631bf8446e91bc434b9953b
Copy
MD5
fc8d1b263a6eac561dee30ff613cc795
Copy
BLAKE2b-256
8fb67ffede543f0f7ea716d39aa6bd30f9c918069ce42634d372ef665aefa086
Copy
See more details on using hashes here.
File details
Details for the file outlier_naveen-1.1-py3-none-any.whl
.
File metadata
Download URL: outlier_naveen-1.1-py3-none-any.whl
Upload date:
Feb 14, 2020
Size: 2.3 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.8.1
File hashes
Hashes for outlier_naveen-1.1-py3-none-any.whl
Algorithm
Hash digest
SHA256
6b89bde97c26db087fec41885e726b986820b0f7fdd254e58178e8b85285fe30
Copy
MD5
06057fd545abb987bb7ac62a2e4658e7
Copy
BLAKE2b-256
1470a03ae384d5494b5b6f829df00f0bc0024097db06dd78ef94aaff478916e5
Copy
See more details on using hashes here.