Generate random words and sentences with ease in python
Quick links:
Wonderwords is a python package useful for generating random words and structured random sentences. It also comes with a colorful command line interface for quickly generating random words. The latest version is available on GitHub while the stable version is available on PyPI.
Here's what Wonderwords is capable of:
To install the latest version of Wonderwords, use your favorite package manager
for the Python Package Index to install the wonderwords package. For example
with pip:
pip install wonderwords
To upgrade Wonderwords with pip use:
pip install --upgrade wonderwords
To verify that the installation worked, import Wonderwords in python:
import wonderwords
If you get a ModuleNotFound error, make sure that you have installed
Wonderwords from the step above. For further issues,
open a new issue from the GitHub page.
This section will briefly describe Wonderwords usage. Since Wonderwords has a command line interface and python module, you will find two subsections.
The base random word generation class is the RandomWord class. You can
generate words with the word method:
from wonderwords import RandomWord
r = RandomWord()
# generate a random word
r.word()
# random word that starts with a and ends with en
r.word(starts_with="a", ends_with="en")
# generate a random noun or adjective, by default all parts of speech are included
r.word(include_parts_of_speech=["nouns", "adjectives"])
# generate a random word between the length of 3 and 8 characters
r.word(word_min_length=3, word_max_length=8)
# generate a random word with a custom regular expression
r.word(regex=".*a")
# you can combine multiple filtering options
r.word(starts_with="ru", word_max_length=10, include_parts_of_speech=["verbs"])
You can also get a list of all words matching some criteria using the filter
method:
# get a list of ALL words that start with "am"
r.filter(starts_with="am")
# you can use all the options found in the word method:
r.filter(ends_with="k", include_parts_of_speech=["verbs"], word_min_length=4)
You can also generate a random list of words with the random_words method.
This is much like the filter method, except you specify the amount of words
to return, and the words are randomly chosen. If there aren't enough words to
satisfy the amount, a NoWordsToChooseFrom exception is raised:
# get a list of 3 random nouns
r.random_words(3, include_parts_of_speech=["nouns"])
# you can use all the options found in the word method
r.random_words(5, starts_with="o", word_min_length=10)
# if the amount of words you want to get is larger than the amount of words
# there are, a NoWordsToChooseFrom exception is raised:
r.random_words(100, starts_with="n", word_min_length=16)
# there are less than 100 words that are at least 16 letters long and start with
# n, so an exception is raised
# you can silence the NoWordsToChooseFrom exception and return all words even
# if there are less, by setting return_less_if_necessary to True
r.random_words(100, starts_with="n", word_min_length=16, return_less_if_necessary=True)
Generating random sentences is easy using the RandomSentence class:
from wonderwords import RandomSentence
s = RandomSentence()
# Get a random bare-bone sentence
s.bare_bone_sentence()
# Get a random bare-bone sentence with a direct object
s.simple_sentence()
# Get a random bare-bone sentence with an adjective
s.bare_bone_with_adjective()
# Get a random sentence with a subject, predicate, direct object and adjective
s.sentence()
More advanced usage (and a tutorial!) is found in the documentation, such as adding custom categories of words. The full documentation with all information can be found at: https://wonderwords.readthedocs.io
Wonderwords provides a command line interface, too, which can be used with the
wonderwords command. Usage:
usage: wonderwords [-h] [-w] [-f] [-l LIST] [-s {bb,ss,bba,s}] [-v] [-sw STARTS_WITH] [-ew ENDS_WITH]
[-p {noun,verb,adjective,nouns,verbs,adjectives} [{noun,verb,adjective,nouns,verbs,adjectives} ...]] [-min WORD_MIN_LENGTH]
[-max WORD_MAX_LENGTH] [-r REGEX] [-d DELIMITER]
optional arguments:
-h, --help show this help message and exit
-w, --word, --random-word
generate a random word
-f, --filter filter a list of words matching the criteria specified
-l LIST, --list LIST return a list of words of a certain length
-s {bb,ss,bba,s}, --sentence {bb,ss,bba,s}
return a sentence based on the structure chosen
-v, --version Print the version number and exit
-sw STARTS_WITH, --starts-with STARTS_WITH
specify what string the random word(s) should start with
-ew ENDS_WITH, --ends-with ENDS_WITH
specify what string the random word(s) should end with
-p {noun,verb,adjective,nouns,verbs,adjectives} [{noun,verb,adjective,nouns,verbs,adjectives} ...], --parts-of-speech {noun,verb,adjective,nouns,verbs,adjectives} [{noun,verb,adjective,nouns,verbs,adjectives} ...]
specify to only include certain parts of speech (by default all parts of speech are included)
-min WORD_MIN_LENGTH, --word-min-length WORD_MIN_LENGTH
specify the minimum length of the word(s)
-max WORD_MAX_LENGTH, --word-max-length WORD_MAX_LENGTH
specify the maximum length of the word(s)
-r REGEX, --regex REGEX, --re REGEX, --regular-expression REGEX
specify a python-style regular expression that every word must match
-d DELIMITER, --delimiter DELIMITER
Specify the delimiter to put between a list of words, default is ', '
The basic commands are:
-w: generate a random word-f: which works much like the filter function to return all words matching
a certain criteria-l LIST: get a list of LIST random words-s {bb,ss,bba,s}: generate a random sentence:
bb: bare bone sentencess: simple sentence (bare bone sentence with direct object)bba: bare bone sentence with adjectives: generate a simple sentence with an adjectiveDuring its early stages, Wonderwords didn't have a set versioning system and
therefore, versions before v2.0.0-alpha are in disarray. Starting with version
2 alpha, Wonderwords uses sematic versioning.
Wonderwords is open source and is distributed under the MIT license. See LICENSE for more details.
All contributions are welcome and we hope Wonderwords will continue growing.
Start out by reading CONTRIBUTING.md for contributing guidelines and how to
get started.
Wonderwords has been made possible thanks to the following works:
profanitylist.txt from
RobertJGabriel/Google-profanity-words
under the
Apache-2.0 licenseFAQs
A python package for random words and sentences in the english language
We found that wonderwords demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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