Topsis Analysis
pip install TOPSIS-JagritiKhanna
Usage
Following query on terminal will provide you the topsis analysis for input csv file.
topsis -n "dataset-name" -w "w1,w2,w3,w4,..." -i "i1,i2,i3,i4,..."
Note that the first row and first column of dataset is dropped
Rank 1 signifies best decision
License
Release files for TOPSIS-JagritiKhanna 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| TOPSIS-JagritiKhanna-0.1.0.tar.gz | 2.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| TOPSIS_JagritiKhanna-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.5 kB
Release files / TOPSIS-JagritiKhanna-0.1.0.tar.gz
| Download URL | TOPSIS-JagritiKhanna-0.1.0.tar.gz |
|---|---|
| Size | 2.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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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/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4
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Release files / TOPSIS_JagritiKhanna-0.1.0-py3-none-any.whl
| Download URL | TOPSIS_JagritiKhanna-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| 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/45.1.0 requests-toolbelt/0.9.1 tqdm/4.41.1 CPython/3.7.4
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