nomquamgender 0.0.4

Data and code to support name-based gender-classification in scientific research

nom quam gender

A simple package containing data and a few functions to support name-based gender-classification in scientific research.

Installation

pip install nomquamgender

Usage

import nomquamgender as nqg
nqg.annotate('clara')

	given	used	sources	counts	p(f)
0	clara	clara	31	492337	0.992

---

nqg.annotate(['András','Jean','Mitsuko'])

	given	used	sources	counts	p(f)
0	András	andras	24	13010	0.001
1	Jean	jean	31	2525377	0.477
2	Mitsuko	mitsuko	14	925	0.981

---

import pandas as pd

name_data = nqg.dump()

df = pd.DataFrame([(n,c,p) for n,(s,c,p) in name_data.items()],
                              columns = ['name','counts','p(f)']).set_index('name')

df.sort_values(by='counts',ascending=False).head(10)

name	counts	p(f)
john	5.73712e+06	0.001
robert	5.71833e+06	0
james	5.71246e+06	0.001
michael	5.04746e+06	0.001
david	4.88524e+06	0.001
william	4.6944e+06	0
mary	4.5431e+06	0.98
joseph	3.39841e+06	0.002
daniel	3.2188e+06	0.016
thomas	3.17053e+06	0.001