Locale or_IN

faker.providers.person

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

Bases: faker.providers.person.Provider

first_name()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name()
...
'ପୁନମ'
'ଅନିଶା'
'ବିଶ୍ୱଜିତ'
'ଧନେଶ୍ୱର'
'ମିହିର'
first_name_female()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_female()
...
'ଶୁଭଶ୍ରୀ'
'ରୁନୁ'
'ପୁଷ୍ପା'
'ଝରଣା'
'ବିଜୟଲକ୍ଷ୍ମୀ'
first_name_male()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_male()
...
'ଶ୍ରୀରାମ'
'ରାଜେନ୍ଦ୍ର'
'ପରମେଶ୍ୱର'
'ଜ୍ୟୋତିନ୍ଦ୍ର'
'ବାଙ୍କ'
first_name_nonbinary()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_nonbinary()
...
'ପୁନମ'
'ଅନିଶା'
'ବିଶ୍ୱଜିତ'
'ଧନେଶ୍ୱର'
'ମିହିର'
first_name_unisex()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.first_name_unisex()
...
'ସିମନ୍'
'ଶାନ୍ତି'
'ପୁପୁଲ'
'ଦୁର୍ଗା'
'ମକର'
language_name()

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

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.language_name()
...
'Swahili'
'Sardinian'
'Georgian'
'French'
'Ganda'
last_name()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name()
...
'ଶର୍ମା'
'ମେହେର'
'ପରମାଣିକ'
'ତିଆଡ଼ି'
'ବକା'
last_name_female()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_female()
...
'ଶର୍ମା'
'ମେହେର'
'ପରମାଣିକ'
'ତିଆଡ଼ି'
'ବକା'
last_name_male()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_male()
...
'ଶର୍ମା'
'ମେହେର'
'ପରମାଣିକ'
'ତିଆଡ଼ି'
'ବକା'
last_name_nonbinary()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.last_name_nonbinary()
...
'ଶର୍ମା'
'ମେହେର'
'ପରମାଣିକ'
'ତିଆଡ଼ି'
'ବକା'
middle_name()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.middle_name()
...
'ସବ୍ୟସାଚୀ'
'ଶଙ୍କର'
'ଭୂଷଣ'
'ବଲ୍ଲଭ'
'ମତଲୁବ'
name()

:example ‘John Doe’

Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name()
...
'ଶାନ୍ତି ଭୂଷଣ ତିଆଡ଼ି'
'ପଠାଣି ରାଉତ'
'ଶ୍ରୀମତୀ ମଙ୍ଗଳା ସିଦୁ'
'ତାନସେନ ମେହେଟା'
'ଜିତୁ ସିଧୁ'
name_female()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_female()
...
'କୁମାରୀ ପୁଷ୍ପା ତିଆଡ଼ି'
'ଶ୍ରୀମତୀ ଶାନ୍ତି ଦିଆନ'
'ମଙ୍ଗଳା ସିଦୁ'
'ସୁଶ୍ରୀ ଶାନ୍ତି ବ୍ୟାସ'
'ସୁମନ ହିକୋକା'
name_male()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_male()
...
'ଶ୍ରୀଯୁକ୍ତ ପରମେଶ୍ୱର ତିଆଡ଼ି'
'ପୁପୁଲ ଶେଖର ଦିଆନ'
'ବେଣୁଧର ସାରଥୀ ପ୍ରହରାଜ'
'ରାଜୁ ଯୋଶେଫ୍ ଢାଲି'
'ଶ୍ରୀଯୁକ୍ତ ଶଶି ସିଂହ'
name_nonbinary()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.name_nonbinary()
...
'ଶାନ୍ତି ଭୂଷଣ ତିଆଡ଼ି'
'ପଠାଣି ରାଉତ'
'ଶ୍ରୀମତୀ ମଙ୍ଗଳା ସିଦୁ'
'ତାନସେନ ମେହେଟା'
'ଜିତୁ ସିଧୁ'
prefix()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix()
...
'କୁମାରୀ'
'ଶ୍ରୀ'
'ଶ୍ରୀମତୀ'
'ସୁଶ୍ରୀ'
'ଶ୍ରୀମାନ'
prefix_female()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_female()
...
'କୁମାରୀ'
'କୁମାରୀ'
'ଶ୍ରୀମତୀ'
'ସୁଶ୍ରୀ'
'ଶ୍ରୀମତୀ'
prefix_male()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_male()
...
'ଶ୍ରୀଯୁକ୍ତ'
'ଶ୍ରୀଯୁକ୍ତ'
'ଶ୍ରୀମାନ'
'ଶ୍ରୀ'
'ଶ୍ରୀମାନ'
prefix_nonbinary()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.prefix_nonbinary()
...
'କୁମାରୀ'
'ଶ୍ରୀ'
'ଶ୍ରୀମତୀ'
'ସୁଶ୍ରୀ'
'ଶ୍ରୀମାନ'
suffix()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix()
...
''
''
''
''
''
suffix_female()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_female()
...
''
''
''
''
''
suffix_male()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_male()
...
''
''
''
''
''
suffix_nonbinary()
Examples:
>>> Faker.seed(0)
>>> for _ in range(5):
...     fake.suffix_nonbinary()
...
''
''
''
''
''