python随机生成库faker库api实例详解

Rosine ·
更新时间:2024-09-20
· 738 次阅读

废话不多说,直接上代码!

# -*- coding: utf-8 -*- # @Author : FELIX # @Date : 2018/6/30 9:49 from 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email print(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()) # rgb print(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uuid print(fake.uuid4()) # 随机生成sha1 print(fake.sha1(raw_output=False)) # 随机生成md5 print(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_agent print(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) # 1284297794 fake.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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