# 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()
        ...
        ''
        ''
        ''
        ''
        ''