Outlier removal package
Project description
Library for Handling Missing Data
PROJECT 3, UCS633 - Data Analysis and Visualization
Nishchay Mahajan
COE18
Roll number: 101703377
Takes two inputs - filename of input csv, Method of handling data.
Resulting csv is saved with the name OUTPUT.CSV.
Installation
pip install missing-pypck
Use via command line
Drop rows with NaN
python3 missing.py filename dropr
Drop columns with NaN
python3 missing.py filename dropc
Imputing with mean
python3 missing.py filename mean
Imputing with median
python3 missing.py filename median
Imputing with mode
python3 missing.py filename mode
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
missing-pypck-1.0.0.tar.gz
(1.8 kB
view hashes)
Built Distribution
Close
Hashes for missing_pypck-1.0.0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 439770091360ecfb42b86f9d24cb2d7ecb4267a4f670b8e718fdb606ec95075f |
|
| MD5 | 84b1e5e77f71538616c37bf9397b7da4 |
|
| BLAKE2b-256 | 0a778e705810d2636379174bd4277118847111ed4e6bde440d08c385bc46a225 |
