python随机生成库faker库api实例详解

Python  /  管理员 发布于 7年前   212

废话不多说，直接上代码！

# -*- coding: utf-8 -*-# @Author : FELIX# @Date  : 2018/6/30 9:49from faker import Factory# zh_CN 表示中国大陆版fake = Factory().create('zh_CN')# 产生随机手机号print(fake.phone_number())# 产生随机姓名print(fake.name())# 产生随机地址print(fake.address())# 随机产生国家名print(fake.country())# 随机产生国家代码print(fake.country_code())# 随机产生城市名print(fake.city_name())# 随机产生城市print(fake.city())# 随机产生省份print(fake.province())# 产生随机emailprint(fake.email())# 产生随机IPV4地址print(fake.ipv4())# 产生长度在最大值与最小值之间的随机字符串print(fake.pystr(min_chars=0, max_chars=8))# 随机产生车牌号print(fake.license_plate())# 随机产生颜色print(fake.rgb_color()) # rgbprint(fake.safe_hex_color()) # 16进制print(fake.color_name()) # 颜色名字print(fake.hex_color()) # 16进制# 随机产生公司名print(fake.company())# 随机产生工作岗位print(fake.job())# 随机生成密码print(fake.password(length=10, special_chars=True, digits=True, upper_case=True, lower_case=True))# 随机生成uuidprint(fake.uuid4())# 随机生成sha1print(fake.sha1(raw_output=False))# 随机生成md5print(fake.md5(raw_output=False))# 随机生成女性名字print(fake.name_female())# 男性名字print(fake.name_male())# 随机生成名字print(fake.name())# 生成基本信息print(fake.profile(fields=None, sex=None))print(fake.simple_profile(sex=None))# 随机生成浏览器头user_agentprint(fake.user_agent())# 随机产生时间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, 18, 43, 40)fake.future_date(end_date="+30d", tzinfo=None)# datetime.date(2018, 7, 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, after_now=False, tzinfo=None)# datetime.datetime(2018, 6, 8, 9, 56, 24)fake.timezone()# 'Africa/Conakry'fake.date_time_this_decade(before_now=True, after_now=False, tzinfo=None)# datetime.datetime(2017, 6, 27, 21, 18, 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, 8, 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, 6, 1)fake.date_this_month(before_today=True, after_today=False)# datetime.date(2018, 6, 13)fake.am_pm()# 'AM'fake.past_datetime(start_date="-30d", tzinfo=None)# datetime.datetime(2018, 6, 25, 7, 41, 34)fake.date_this_year(before_today=True, after_today=False)# datetime.date(2018, 2, 24)fake.date_time_between_dates(datetime_start=None, datetime_end=None, tzinfo=None)# datetime.datetime(2018, 6, 26, 14, 40, 5)fake.date_time_ad(tzinfo=None, end_datetime=None)# datetime.datetime(673, 1, 28, 18, 17, 55)fake.date_between_dates(date_start=None, date_end=None)# datetime.date(2018, 6, 26)fake.future_datetime(end_date="+30d", tzinfo=None)# datetime.datetime(2018, 7, 4, 10, 53, 6)fake.century()# 'IX'fake.past_date(start_date="-30d", tzinfo=None)# datetime.date(2018, 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)# 1284297794fake.date_time_this_year(before_now=True, after_now=False, tzinfo=None)# datetime.datetime(2018, 5, 24, 11, 25, 25)fake.date_between(start_date="-30y", end_date="today")# datetime.date(2003, 1, 11)fake.year()# '1993'fake.time_series(start_date="-30d", end_date="now", precision=None, distrib=None, tzinfo=None)# <generator object time_series at 0x7f44e702a620># 随机产生文件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/客户.js'fake.unix_device(prefix=None)# '/dev/sdf'fake.unix_partition(prefix=None)# '/dev/vdf0'fake.mime_type(category=None)# 'multipart/form-data'

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