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RandomDataGenerators-0.3.0
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مشاهده بیشترتوضیحات
Generator of random data frames.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | OS Independent |
| نام فایل | RandomDataGenerators-0.3.0 |
| نام | RandomDataGenerators |
| نسخه کتابخانه | 0.3.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Anton Antonov |
| ایمیل نویسنده | antononcube@posteo.net |
| آدرس صفحه اصلی | https://github.com/antononcube/Python-packages/tree/main/RandomDataGenerators |
| آدرس اینترنتی | https://pypi.org/project/RandomDataGenerators/ |
| مجوز | - |
# Random Data Generators Python package
## Introduction
This Python package has functions for generating random strings, words,
pet names, and (tabular) data frames.
The full list of features and development status can be found in the
[org-mode](https://orgmode.org)
file
[Random-data-generators-work-plan.org](https://github.com/antononcube/Python-packages/blob/main/org/Random-data-generators-work-plan.org).
### Motivation
The primary motivation for this package is to have simple, intuitively
named functions for generating random vectors (lists) and data frames of
different objects.
Although, Python has support of random vector generation, it is assumed
that commands like the following are easier to use:
random_string(6, chars = 4, pattern = "[\l\d]")
------------------------------------------------------------------------
## Installation
To install from GitHub use the shell command:
python -m pip install git+https://github.com/antononcube/Python-packages.git#egg=RandomDataGenerators\&subdirectory=RandomDataGenerators
To install from [PyPi.org](https://pypi.org):
python -m pip install RandomDataGenerators
------------------------------------------------------------------------
## Setup
from RandomDataGenerators import *
The import command above is equivalent to the import commands:
from RandomDataGenerators.RandomDataFrameGenerator import random_data_frame
from RandomDataGenerators.RandomFunctions import random_string
from RandomDataGenerators.RandomFunctions import random_word
from RandomDataGenerators.RandomFunctions import random_pet_name
from RandomDataGenerators.RandomFunctions import random_pretentious_job_title
We are also going to use the packages `random`, `numpy`, and `pandas`:
import random
import numpy
import pandas
pandas.set_option('display.max_columns', None)
------------------------------------------------------------------------
## Random strings
The function `random_string` generates random strings. (It is based on
the package
[`StringGenerator`](https://pypi.org/project/StringGenerator/),
\[PW1\].)
Here we generate a vector of random strings with length 4 and characters
that belong to specified ranges:
random_string(6, chars=4, pattern = "[\d]") # digits only
## ['3749', '4572', '9812', '7395', '2388', '7625']
random_string(6, chars=4, pattern = "[\l]") # letters only
## ['FhSd', 'DNSu', 'YggC', 'ajqA', 'dIBt', 'Mjdc']
random_string(6, chars=4, pattern = "[\l\d]") # both digits and letters
## ['yp4u', '2Shk', 'pvpS', 'M43O', 'm5SX', 'It3L']
------------------------------------------------------------------------
## Random words
The function `random_word` generates random words.
Here we generate a list with 12 random words:
random_word(12)
## ['arteria', 'Sauria', 'mentation', 'elope', 'expositor', 'planetarium', 'agglutinin', 'Faunus', 'flab', 'slub', 'Chasidic', 'Jirrbal']
Here we generate a table of random words of different types (kinds):
dfWords = pandas.DataFrame({k: random_word(6, kind = k) for k in ["Any", "Common", "Known", "Stop"]})
print(dfWords.transpose().to_string())
## 0 1 2 3 4 5
## Any stuffing mind-altering angrily Embothrium sorbet smoking
## Common reason mackerel alignment calculator halfback paranoiac
## Known tannoy double-date deckled gynandromorphous gravitative steganography
## Stop about N noone next back alone
**Remark:** `None` can be used instead of `'Any'`.
------------------------------------------------------------------------
## Random pet names
The function `random_pet_name` generates random pet names.
The pet names are taken from publicly available data of pet license
registrations in the years 2015–2020 in Seattle, WA, USA. See \[DG1\].
The following command generates a list of six random pet names:
random.seed(32)
random_pet_name(6)
## ['Oskar', 'Bilbo "Bobo" Waggins', 'Maximus', 'Gracie', 'Osa', 'Fabio']
The named argument `species` can be used to specify specie of the random
pet names. (According to the specie-name relationships in \[DG1\].)
Here we generate a table of random pet names of different species:
dfPetNames = pandas.DataFrame({ wt: random_pet_name(6, species = wt) for wt in ["Any", "Cat", "Dog", "Goat", "Pig"] })
dfPetNames.transpose()
## 0 1 2 3 4 5
## Any Lumen Asha Echo Yuki Francis Charlie
## Cat Ellie Roxie Grace Norman Bean Mr. Darcy Hermione
## Dog Brewski Matzo Joey K. C. Oscar Gracie
## Goat Lula Brussels Sprout Grace Moppet Frosty Arya
## Pig Millie Guinness Guinness Atticus Guinness Millie
**Remark:** `None` can be used instead of `'Any'`.
The named argument `weighted` can be used to specify random pet name
choice based on known real-life number of occurrences:
random.seed(32);
random_pet_name(6, weighted=True)
## ['Zorro', 'Beeker', 'Lucy', 'Blanco', 'Winston', 'Petunia']
The weights used correspond to the counts from \[DG1\].
**Remark:** The implementation of `random-pet-name` is based on the
Mathematica implementation
[`RandomPetName`](https://resources.wolframcloud.com/FunctionRepository/resources/RandomPetName),
\[AAf1\].
------------------------------------------------------------------------
## Random pretentious job titles
The function `random_pretentious_job_title` generates random pretentious
job titles.
The following command generates a list of six random pretentious job
titles:
random_pretentious_job_title(6)
## ['Direct Identity Officer', 'District Group Synergist', 'Lead Brand Liason', 'Central Configuration Administrator', 'Senior Accountability Facilitator', 'Dynamic Web Producer']
The named argument `number_of_words` can be used to control the number
of words in the generated job titles.
The named argument `language` can be used to control in which language
the generated job titles are in. At this point, only Bulgarian and
English are supported.
Here we generate pretentious job titles using different languages and
number of words per title:
random.seed(2)
random_pretentious_job_title(12, number_of_words = None, language = None)
## ['Manager', 'Клиентов Асистент на Инфраструктурата', 'Customer Quality Strategist', 'Наследствен Анализатор по Идентичност', 'Administrator', 'Изпълнител на Фактори', 'Administrator', 'Architect', 'Investor Assurance Agent', 'Прогресивен Служител по Сигурност', 'Координатор', 'Анализатор по Оптимизация']
**Remark:** `None` can be used as values for the named arguments
`number_of_words` and `language`.
**Remark:** The implementation uses the job title phrases in
<https://www.bullshitjob.com> . It is, more-or-less, based on the
Mathematica implementation
[`RandomPretentiousJobTitle`](https://resources.wolframcloud.com/FunctionRepository/resources/RandomPretentiousJobTitle),
\[AAf2\].
------------------------------------------------------------------------
## Random tabular datasets
The function `random_data_frame` can be used generate tabular *data
frames*.
**Remark:** In this package a *data frame* is an object produced and
manipulated by the package `pandas`.
Here are basic calls:
random_data_frame()
random_data_frame(None, row_names=True)
random_data_frame(None, None)
random_data_frame(12, 4)
random_data_frame(None, 4)
random_data_frame(5, None, column_names_generator = random_pet_name)
random_data_frame(15, 5, generators = [random_pet_name, random_string, random_pretentious_job_title])
random_data_frame(None, ["Col1", "Col2", "Col3"], row-names=False)
Here is example of a generated data frame with column names that are cat
pet names:
random_data_frame(5, 4, column_names_generator = lambda size: random_pet_name(size, species = 'Cat'), row_names=True)
## Meryl Oreo Douglas Fur Sprockett
## id.0 -1.053990 QhFlT 0 o7p5f
## id.1 -0.707621 G90kh 0 yBupF
## id.2 0.494162 eMVtF 0 Ez2Df
## id.3 0.400718 tx3HL 2 3Tz7I
## id.4 -1.345948 r3NRa 0 whfam
**Remark:** Both [*wide format* and *long
format*](https://en.wikipedia.org/wiki/Wide_and_narrow_data) data frames
can be generated.
**Remark:** The signature design and implementation are based on the
Mathematica implementation
[`RandomTabularDataset`](https://resources.wolframcloud.com/FunctionRepository/resources/RandomTabularDataset),
\[AAf3\]. There are also corresponding packages written in R, \[AAp1\],
and Raku, \[AAp2\].
Here is an example in which some of the columns have specified
generators:
random.seed(66)
random_data_frame(10,
["alpha", "beta", "gamma", "zetta", "omega"],
generators = {"alpha" : random_pet_name,
"beta" : numpy.random.normal,
"gamma" : lambda size: numpy.random.poisson(lam=5, size=size) } )
## alpha beta gamma zetta omega
## 0 Frayda 0.811681 4 1V05P swing
## 1 Rosie 0.591327 3 tg7yn Carolus
## 2 Jovi 0.563906 7 imaDl sailor
## 3 Pilot 0.607250 7 WAg8u echinus
## 4 Brodie 0.279003 12 yXEao Ramayana
## 5 Springer -1.394703 5 JFBoz simper
## 6 Uma -0.538088 8 7ATV1 consecrate
## 7 Diva 0.343234 4 GeJUh blight
## 8 Fezzik 1.506241 6 yEPI5 misappropriation
## 9 Hana -1.359908 4 PG3IS diploidy
------------------------------------------------------------------------
## References
### Articles
\[AA1\] Anton Antonov, [“Pets licensing data
analysis”](https://mathematicaforprediction.wordpress.com/2020/01/20/pets-licensing-data-analysis/),
(2020), [MathematicaForPrediction at
WordPress](https://mathematicaforprediction.wordpress.com).
### Functions, packages
\[AAf1\] Anton Antonov,
[RandomPetName](https://resources.wolframcloud.com/FunctionRepository/resources/RandomPetName),
(2021), [Wolfram Function
Repository](https://resources.wolframcloud.com/FunctionRepository).
\[AAf2\] Anton Antonov,
[RandomPretentiousJobTitle](https://resources.wolframcloud.com/FunctionRepository/resources/RandomPretentiousJobTitle),
(2021), [Wolfram Function
Repository](https://resources.wolframcloud.com/FunctionRepository).
\[AAf3\] Anton Antonov,
[RandomTabularDataset](https://resources.wolframcloud.com/FunctionRepository/resources/RandomTabularDataset),
(2021), [Wolfram Function
Repository](https://resources.wolframcloud.com/FunctionRepository).
\[AAp1\] Anton Antonov, [RandomDataFrameGenerator R
package](https://github.com/antononcube/R-packages/tree/master/RandomDataFrameGenerator),
(2020), [R-packages at
GitHub/antononcube](https://github.com/antononcube/R-packages).
\[AAp2\] Anton Antonov, [Data::Generators Raku
package](https://modules.raku.org/dist/Data::Generators:cpan:ANTONOV),
(2021), [Raku Modules](https://modules.raku.org).
\[PW1\] Paul Wolf, [StringGenerator Python
package](https://pypi.org/project/StringGenerator),
(PyPi.org)(<https://pypi.org>).
\[WRI1\] Wolfram Research (2010),
[RandomVariate](https://reference.wolfram.com/language/ref/RandomVariate.html),
Wolfram Language function.
### Data repositories
\[DG1\] Data.Gov, [Seattle Pet
Licenses](https://catalog.data.gov/dataset/seattle-pet-licenses),
[catalog.data.gov](https://catalog.data.gov).
نیازمندی
| مقدار | نام |
|---|---|
| - | numpy |
| - | pandas |
| - | StringGenerator |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.7 | Python |
نحوه نصب
نصب پکیج whl RandomDataGenerators-0.3.0:
pip install RandomDataGenerators-0.3.0.whl
نصب پکیج tar.gz RandomDataGenerators-0.3.0:
pip install RandomDataGenerators-0.3.0.tar.gz