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import csv | |
from faker import Faker | |
import datetime | |
def datagenerate(records, headers): | |
fake = Faker('de_DE') | |
fake1 = Faker('de_DE') # To generate phone numbers | |
with open("People_data_de.csv", 'wt') as csvFile: | |
writer = csv.DictWriter(csvFile, fieldnames=headers) | |
writer.writeheader() | |
for i in range(records): | |
full_name = fake.name() | |
FLname = full_name.split(" ") | |
Fname = FLname[0] | |
Lname = FLname[1] | |
domain_name = "@testDomain.com" | |
userId = Fname +"."+ Lname + domain_name | |
writer.writerow({ | |
"Email Id" : userId, | |
"Prefix" : fake.prefix(), | |
"Name": fake.name(), | |
"Birth Date" : fake.date(pattern="%d-%m-%Y", end_datetime=datetime.date(2000, 1,1)), | |
"Phone Number" : fake1.phone_number(), | |
"Additional Email Id": fake.email(), | |
"Address" : fake.address(), | |
"Zip Code" : fake.postcode(), | |
"City" : fake.city(), | |
"State" : fake.state(), | |
"Country" : fake.country(), | |
"Year":fake.year(), | |
"Time": fake.time(), | |
"Link": fake.url(), | |
"Text": fake.word(), | |
}) | |
if __name__ == '__main__': | |
records = 1000000 | |
headers = ["Email Id", "Prefix", "Name", "Birth Date", "Phone Number", "Additional Email Id", | |
"Address", "Zip Code", "City","State", "Country", "Year", "Time", "Link", "Text"] | |
datagenerate(records, headers) | |
print("CSV generation complete!") |
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