Creating Fake Data¶

Create your own data for test and analyse.¶

See it:

https://towardsdatascience.com/how-to-create-fake-data-with-faker-a835e5b7a9d9 ¶
https://faker.readthedocs.io/en/master/¶
https://www.datacamp.com/tutorial/creating-synthetic-data-with-python-faker-tutorial ¶

In [4]:

!pip install --q Faker

In [5]:

import string
from faker import Faker 
import json                 
import numpy as np
import pandas as pd
fake = Faker() 

fake = Faker('pt_BR')

Creating 10k users with Portuguese source words.¶

In [6]:

fake_name=[]
for i in range(10000):
  #print("Name:", i)
  name = fake.name()
  #print(name)
  fake_name.append(name)

In [7]:

len(fake_name)

Out[7]:

Removing duplicate names.¶

In [8]:

lista_unic = set(fake_name)

Unique created names.¶

In [9]:

len(lista_unic)

Out[9]:

In [10]:

# Total lines created
n = 1000

infos = ['name','job', 'company','ssn', 'address', 'sex', 'birthdate']

def create_profile(x): 
    print("Creating profile with ", n, " lines")
    # dictionary 
    profile_data ={} 
    for i in range(0, x): 
        profile_data[i]={} 
        profile_data[i] = fake.profile(infos)

    print("done")
    return profile_data
    


def create_sales(x): 
    print("Creating sales with ", n, " lines")
  
    # dictionary 
    sales_data ={} 
    for i in range(0, x): 
        sales_data[i]={} 
        sales_data[i]['price'] = np.random.randint(10,500)
        sales_data[i]['qtd'] = np.random.randint(1,10)
        sales_data[i]['product'] =  chr(np.random.randint(ord('A'), ord('Z')))
        sales_data[i]['bill'] = sales_data[i]['price'] * sales_data[i]['qtd']
        sales_data[i]['way_of_payment'] = np.random.choice(['boleto', 'cartão_cred', 'a vista'])
    print("done")
    return sales_data


# Create fake profile
profiles = create_profile(n)
df_prof = pd.DataFrame.from_dict(profiles)
df_profile = df_prof.T

# Create fake sales
sales = create_sales(n)
temp_sales = pd.DataFrame.from_dict(sales)
df_sale = temp_sales.T

df_fake = pd.concat([df_profile, df_sale], axis=1)

# Extracting and creating column UF
lista_uf=[]
for i in range(len(df_fake['address'])):
  lista_uf.append(df_fake['address'][i].split(' / ')[1])

df_fake['uf'] = lista_uf
df_fake.drop_duplicates(inplace=True)
df_fake

Creating profile with  1000  lines
done
Creating sales with  1000  lines
done

Out[10]:

	job	company	ssn	name	sex	address	birthdate	price	qtd	product	bill	way_of_payment	uf
0	Instrumentista musical	Jesus	17650392821	Erick Silveira	M	Trevo de da Luz, 962\nMorro Dos Macacos\n47974...	1957-01-10	124	5	X	620	cartão_cred	AM
1	Tecnólogo em rochas ornamentais	Araújo	67291058449	Sarah da Cunha	F	Trevo Pereira, 96\nGoiania\n02270785 Barbosa d...	2017-09-15	158	2	E	316	cartão_cred	MA
2	Ventríloquo	Viana	12540369898	Igor Silva	M	Morro Pinto, 42\nVila Paquetá\n42119022 Barbos...	1931-04-25	369	4	X	1476	a vista	BA
3	Telefonista	Cunha	19283076559	Sr. Bruno Fernandes	M	Estação Lima\nVila Fumec\n12545833 da Conceiçã...	1985-10-26	413	7	C	2891	boleto	AL
4	Borracheiro	Dias S.A.	45819023714	Alexandre Pinto	M	Sítio de Pires, 78\nVila Da Paz\n02665127 da R...	1941-02-03	265	5	P	1325	cartão_cred	MS
...	...	...	...	...	...	...	...	...	...	...	...	...	...
995	Gravurista	Cunha	03286759465	Diogo Souza	M	Viaduto Gonçalves\nMarilandia\n60879609 Lima / TO	1908-04-02	175	9	C	1575	boleto	TO
996	Terapeuta ocupacional	Campos Cardoso e Filhos	31072856417	Sra. Valentina Silva	F	Lago de Silveira, 25\nVila Canto Do Sabiá\n198...	1937-04-15	212	5	C	1060	cartão_cred	AP
997	Árbitro e mediador	Farias Costela e Filhos	91735680230	Melissa Ribeiro	F	Trecho Azevedo, 364\nSanta Lúcia\n32417292 Gon...	1990-12-03	175	3	C	525	cartão_cred	PE
998	Tecnólogo em recursos pesqueiros	Ribeiro Moraes S.A.	86371950240	Emanuel Nogueira	M	Quadra de Dias, 96\nEngenho Nogueira\n95213125...	1944-06-02	92	9	F	828	a vista	MS
999	Meteorologista	Rocha	14538702960	Anthony da Mota	M	Residencial de Moura, 13\nJardim Guanabara\n47...	2015-10-03	179	8	C	1432	boleto	CE

1000 rows × 13 columns

Creating Fake Data¶

Create your own data for test and analyse.¶

https://towardsdatascience.com/how-to-create-fake-data-with-faker-a835e5b7a9d9¶

https://faker.readthedocs.io/en/master/¶

https://www.datacamp.com/tutorial/creating-synthetic-data-with-python-faker-tutorial¶

Creating 10k users with Portuguese source words.¶

Removing duplicate names.¶

Unique created names.¶

https://towardsdatascience.com/how-to-create-fake-data-with-faker-a835e5b7a9d9 ¶

https://www.datacamp.com/tutorial/creating-synthetic-data-with-python-faker-tutorial ¶