TOPSIS command-line implementation
Project description
TOPSIS Package
This package implements the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method.
Installation
pip install Topsis-Harseerat-10123456
Usage
topsis input.csv "1,1,1,2" "+,+,-,+" output.csv
Input Rules
- CSV file must have at least 3 columns
- First column is identifier
- Other columns must be numeric
- Weights and impacts must be comma-separated
Output
Generates a CSV file with TOPSIS score and rank.
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file topsis_harseerat_10123456-1.0.0.tar.gz.
File metadata
- Download URL: topsis_harseerat_10123456-1.0.0.tar.gz
- Upload date:
- Size: 2.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e199c31bf739de33539364aa876a4c3c568c4ed3adbe4c00b73faffc58a079f1
|
|
| MD5 |
f0efb1b2bc0923fbb8bf2f156f2dd6f1
|
|
| BLAKE2b-256 |
d91197fe1bd50cce98dd3136deba469808dc5a1a26ec9e22fe2283cd0b0ac6b6
|
File details
Details for the file topsis_harseerat_10123456-1.0.0-py3-none-any.whl.
File metadata
- Download URL: topsis_harseerat_10123456-1.0.0-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5bac6ae421b4ca84f5a67c5eaafde0dee14a2ce4f9073ac07726062dcc6bda50
|
|
| MD5 |
8e3b68b4a931f249f53081ef0f2ae0a4
|
|
| BLAKE2b-256 |
7ef4ffc1d5403b19568badcc42c852fec80a7c5da09aa1fcd6300c9780575421
|
