Human Word Indexes

Inspired by What3Words

This library allows the creation of human-memorable/legible english word indexes for pandas dataframes (or other datasets) in python.

from human_word_indexes import WordIndexGenerator,WordIndexFilter  
twi = WordIndexGenerator(10)
twi.generate_word_index()
# ------OUTPUT------
# 0     colorado.bonellia.dulbert
# 1      heaven.naturism.boonless
# 2      inweave.sabbath.gimbaled
# 3           kolokolo.becky.paho
# 4      laudism.sinamay.encyclic
# 5          locate.nyctea.hymnic
# 6     overhelp.depilous.denmark
# 7    sparring.relaster.ungently
# 8     spudboy.lounging.undigest
# 9      unthorny.engore.gageable
# dtype: object
word_filter = WordIndexFilter().set_max_length(5).set_min_length(1)
twi = WordIndexGenerator(5,word_count=2,word_filter=word_filter)
twi.generate_word_index()
# 0    beray.revet
# 1     mukri.swab
# 2     rabin.file
# 3     shogi.poop
# 4     talc.bison
# dtype: object

Quickstart

• Run pip install human_word_indexes
• Install the nltk word corpuses with nltk.download()