Abstracted, continuous, and normalised of version of the Hirsch index (h-index) from academic writing for use as a statistical measure of even distribution
Project description
Hirsch 🦌
Abstracted, continuous, and normalised of version of the Hirsch index (h-index) from academic writing for use as a statistical measure of even distribution
Installation
pip install hirsch
Usage
Get the h-index of some discrete data, e.g. the number of citations an author has received on their papers:
from hirsch import hirsch
citations = [0, 1, 1, 2, 1, 6, 5, 13, 14, 10, 59, 145, 68]
h = hirsch(citations)
Calculate a continuous h-index for some normalised and binned data, e.g. fractional populations:
from hirsch import hirsch
fractions = [0.1,0.5,0.6,0.3,0.2,0.5,0.4]
h = hirsch(fractions, x_max=1, precision=0.01)
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
hirsch-0.0.3.tar.gz
(15.3 kB
view details)
Built Distribution
hirsch-0.0.3-py3-none-any.whl
(14.6 kB
view details)
File details
Details for the file hirsch-0.0.3.tar.gz.
File metadata
- Download URL: hirsch-0.0.3.tar.gz
- Upload date:
- Size: 15.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 626b296399a4274379d01e63f5c69ddeda02997243270ccf977061125669aa73 |
|
| MD5 | 1acf9b0c57fda2e3f383bb3f59af27b3 |
|
| BLAKE2b-256 | dd8f5ee395989e6b5761372b6865771cad6006f3ae51fdf9781c495ab90facf7 |
File details
Details for the file hirsch-0.0.3-py3-none-any.whl.
File metadata
- Download URL: hirsch-0.0.3-py3-none-any.whl
- Upload date:
- Size: 14.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b76d82b1cd586794c3a06ba8e4ff2ff496e3e1d50d1dcde689b32c5ebeb74d65 |
|
| MD5 | 88fc05fa8d80813bea960ee07dfb148a |
|
| BLAKE2b-256 | fb5e40ef69d13e1a4d8d50afd2a522eb840fe64496fa6fcd8fbd3dd26f560e76 |
