Locale or_IN

faker.providers.person

class faker.providers.person.or_IN.Provider(generator: Any)

Bases: Provider

first_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'ମାଧବ'
'ପୁପୁଲ'
'ରତ୍ନ'
'ଆକୁଳାନନ୍ଦ'
'ପୃଥ୍ୱୀରାଜ'

first_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'ଭାନୁମତୀ'
'ମହାଶ୍ୱେତା'
'ଅର୍ଚ୍ଚିତା'
'ନୈନା'
'ରୁକ୍ମଣୀ'

first_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'ମାଧବ'
'ରତ୍ନ'
'ଆକୁଳାନନ୍ଦ'
'ପୃଥ୍ୱୀରାଜ'
'ସଦାଶିବ'

first_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'ମାଧବ'
'ପୁପୁଲ'
'ରତ୍ନ'
'ଆକୁଳାନନ୍ଦ'
'ପୃଥ୍ୱୀରାଜ'

first_name_unisex() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_unisex()
...
'ମୌସଦୀ'
'ରତି'
'ଅଶ୍ୱିନୀ'
'ପୁପୁଲ'
'ସିମନ୍'

language_name() → str

Generate a random i18n language name (e.g. English).

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.language_name()
...
'Luba-Katanga'
'Malay'
'Aymara'
'Interlingue'
'Quechua'

last_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'ମହନ୍ତ'
'ମିତ୍ର'
'କାଡ୍ରାକା'
'ପାଙ୍ଗୀ'
'ସାମନ୍ତ'

last_name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'ମହନ୍ତ'
'ମିତ୍ର'
'କାଡ୍ରାକା'
'ପାଙ୍ଗୀ'
'ସାମନ୍ତ'

last_name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'ମହନ୍ତ'
'ମିତ୍ର'
'କାଡ୍ରାକା'
'ପାଙ୍ଗୀ'
'ସାମନ୍ତ'

last_name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'ମହନ୍ତ'
'ମିତ୍ର'
'କାଡ୍ରାକା'
'ପାଙ୍ଗୀ'
'ସାମନ୍ତ'

middle_name() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.middle_name()
...
'ରାଧାରାଣୀ'
'ଲେଖା'
'କୃଷ୍ଣ'
'ମଂଜରୀ'
'ସାରଥି'

name() → str

Example:

‘John Doe’

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'ରତି କୃଷ୍ଣ ପାଙ୍ଗୀ'
'ଶ୍ରୀମାନ ବାସୁଦେବ ରୋହିଦାସ'
'ନରେନ୍ଦ୍ର ସାରଥି ଟେଟେ'
'ଜଗଦିଶ ଗୌନ୍ତିଆ'
'ସାଲବେଗ ତନ୍ତି'

name_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'ଶ୍ରୀମତୀ ଅର୍ଚ୍ଚିତା ପାଙ୍ଗୀ'
'ଶ୍ରୀମତୀ ପ୍ରିୟମ୍ବଦା ରୋହିଦାସ'
'କୁମାରୀ ଦେବୀ ସର୍ଦ୍ଦାର'
'ପ୍ରିୟଦର୍ଶୀ ଟେଟେ'
'ସୀମାରାଣୀ ପରିଡା'

name_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'ଶ୍ରୀମାନ ଆକୁଳାନନ୍ଦ ପାଙ୍ଗୀ'
'ଶ୍ରୀମାନ ବାସୁଦେବ ରୋହିଦାସ'
'ସୁମନ ଭଞ୍ଜ ସର୍ଦ୍ଦାର'
'ପ୍ୟାରୀମୋହନ ନାଥ ଗୌନ୍ତିଆ'
'ସୁଧାଂଶୁମାଳିନୀ ବଲ୍ଲଭ ବଳ'

name_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'ରତି କୃଷ୍ଣ ପାଙ୍ଗୀ'
'ଶ୍ରୀମାନ ବାସୁଦେବ ରୋହିଦାସ'
'ନରେନ୍ଦ୍ର ସାରଥି ଟେଟେ'
'ଜଗଦିଶ ଗୌନ୍ତିଆ'
'ସାଲବେଗ ତନ୍ତି'

prefix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'ଶ୍ରୀମତୀ'
'ଶ୍ରୀମାନ'
'ଶ୍ରୀମତୀ'
'ଶ୍ରୀମତୀ'
'କୁମାରୀ'

prefix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'ଶ୍ରୀମତୀ'
'ଶ୍ରୀମତୀ'
'ସୁଶ୍ରୀ'
'ଶ୍ରୀମତୀ'
'କୁମାରୀ'

prefix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'ଶ୍ରୀମାନ'
'ଶ୍ରୀମାନ'
'ଶ୍ରୀ'
'ଶ୍ରୀମାନ'
'ଶ୍ରୀଯୁକ୍ତ'

prefix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'ଶ୍ରୀମତୀ'
'ଶ୍ରୀମାନ'
'ଶ୍ରୀମତୀ'
'ଶ୍ରୀମତୀ'
'କୁମାରୀ'

suffix() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix()
...
''
''
''
''
''

suffix_female() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female()
...
''
''
''
''
''

suffix_male() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male()
...
''
''
''
''
''

suffix_nonbinary() → str

Examples:

>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary()
...
''
''
''
''
''