Ranking

This library provides Ranking iterator to assign rank to each values and various strategies for assigning rankings.

>>> sorted_scores = [100, 90, 90, 80, 70]
>>> for rank, score in Ranking(sorted_scores):
...     print '%d. %d' % (rank + 1, score)
1. 100
2. 90
2. 90
4. 80
5. 70
>>> for rank, score in Ranking(sorted_scores, DENSE):
...     print '%d. %d' % (rank + 1, score)
1. 100
2. 90
2. 90
3. 80
4. 70

Metadata

Release files for ranking 0.3.2

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Table of built distributions (wheels) for ranking 0.3.2
File	Interpreter	ABI	Platform	Reset
ranking-0.3.2-py3-none-any.whl 8.6 kB Oct 9, 2020 Without provenance	Python 3	none	any	Details

Release files / ranking-0.3.2-py3-none-any.whl

Download URL	ranking-0.3.2-py3-none-any.whl
Size	8.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e46dd802e6eb0af5ce34d8c12bccfaf22bed67475cbe6e21bc2be7ae0ebc199c`
BLAKE2b-256 checksum How to use checksums	`03f206f55d2808550b376e445f071d5e7375e2f1922be3f62194c6fad6f13bef`
Upload date	Oct 9, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.1`

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