廢話不多說，直接上程式碼！

# -*- coding: utf-8 -*-
# @Author : FELIX
# @Date  : 2018/6/30 9:49

from faker import Factory

# zh_CN 表示中國大陸版
fake = Factory().create('zh_CN')
# 產生隨機手機號
print(fake.phone_number())
# 產生隨機姓名
print(fake.name())
# 產生隨機地址
print(fake.address())
# 隨機產生國家名
print(fake.country())
# 隨機產生國家程式碼
print(fake.country_code())
# 隨機產生城市名
print(fake.city_name())
# 隨機產生城市
print(fake.city())
# 隨機產生省份
print(fake.province())
# 產生隨機email
print(fake.email())
# 產生隨機IPV4地址
print(fake.ipv4())
# 產生長度在最大值與最小值之間的隨機字串
print(fake.pystr(min_chars=0,max_chars=8))

# 隨機產生車牌號
print(fake.license_plate())

# 隨機產生顏色
print(fake.rgb_color()) # rgb
print(fake.safe_hex_color()) # 16進位制
print(fake.color_name()) # 顏色名字
print(fake.hex_color()) # 16進位制

# 隨機產生公司名
print(fake.company())


# 隨機產生工作崗位
print(fake.job())
# 隨機生成密碼
print(fake.password(length=10,special_chars=True,digits=True,upper_case=True,lower_case=True))
# 隨機生成uuid
print(fake.uuid4())
# 隨機生成sha1
print(fake.sha1(raw_output=False))
# 隨機生成md5
print(fake.md5(raw_output=False))

# 隨機生成女性名字
print(fake.name_female())
# 男性名字
print(fake.name_male())
# 隨機生成名字
print(fake.name())

# 生成基本資訊
print(fake.profile(fields=None,sex=None))
print(fake.simple_profile(sex=None))

# 隨機生成瀏覽器頭user_agent
print(fake.user_agent())

# 隨機產生時間
fake.month_name()
# 'September'
fake.date_time_this_century(before_now=True,after_now=False,tzinfo=None)
# datetime.datetime(2010,7,21,18,52,43)
fake.time_object(end_datetime=None)
# datetime.time(6,39,26)
fake.date_time_between(start_date="-30y",end_date="now",tzinfo=None)
# datetime.datetime(2013,10,11,43,40)
fake.future_date(end_date="+30d",tzinfo=None)
# datetime.date(2018,8)
fake.date_time(tzinfo=None,end_datetime=None)
# datetime.datetime(2006,9,4,20,46,6)
fake.date(pattern="%Y-%m-%d",end_datetime=None)
# '1998-08-02'
fake.date_time_this_month(before_now=True,tzinfo=None)
# datetime.datetime(2018,6,8,56,24)
fake.timezone()
# 'Africa/Conakry'
fake.date_time_this_decade(before_now=True,tzinfo=None)
# datetime.datetime(2017,27,28)
fake.month()
# '04'
fake.day_of_week()
# 'Wednesday'
fake.iso8601(tzinfo=None,end_datetime=None)
# '1988-02-28T09:22:29'
fake.time_delta(end_datetime=None)
# datetime.timedelta(10832,82660)
fake.date_object(end_datetime=None)
# datetime.date(2005,18)
fake.date_this_decade(before_today=True,after_today=False)
# datetime.date(2015,1,5)
fake.date_this_century(before_today=True,after_today=False)
# datetime.date(2000,1)
fake.date_this_month(before_today=True,after_today=False)
# datetime.date(2018,13)
fake.am_pm()
# 'AM'
fake.past_datetime(start_date="-30d",25,41,34)
fake.date_this_year(before_today=True,2,24)
fake.date_time_between_dates(datetime_start=None,datetime_end=None,26,14,40,5)
fake.date_time_ad(tzinfo=None,end_datetime=None)
# datetime.datetime(673,28,17,55)
fake.date_between_dates(date_start=None,date_end=None)
# datetime.date(2018,26)
fake.future_datetime(end_date="+30d",53,6)
fake.century()
# 'IX'
fake.past_date(start_date="-30d",5,30)
fake.time(pattern="%H:%M:%S",end_datetime=None)
# '01:32:14'
fake.day_of_month()
# '19'
fake.unix_time(end_datetime=None,start_datetime=None)
# 1284297794
fake.date_time_this_year(before_now=True,24,25)
fake.date_between(start_date="-30y",end_date="today")
# datetime.date(2003,11)
fake.year()
# '1993'
fake.time_series(start_date="-30d",precision=None,distrib=None,tzinfo=None)
# <generator object time_series at 0x7f44e702a620>


# 隨機產生檔案
fake.file_extension(category=None)
# 'xls'
fake.file_name(category=None,extension=None)
# '表示.csv'
fake.file_path(depth=1,category=None,extension=None)
# '/教育/客戶.js'
fake.unix_device(prefix=None)
# '/dev/sdf'
fake.unix_partition(prefix=None)
# '/dev/vdf0'
fake.mime_type(category=None)
# 'multipart/form-data'

以上這篇python隨機生成庫faker庫api例項詳解就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。