is_int_dtype

ivy.is_int_dtype(dtype_in, /)

Determine whether the input data type is an int data type.

Parameters:

dtype_in (Union[Dtype, str, Array, NativeArray, Number]) – input data type to test.

Return type:

bool

Returns:

• ret – “True” if the input data type is an integer, otherwise “False”.

• Both the description and the type hints above assumes an array input for

• simplicity but this function is *nestable, and therefore also accepts*

• ivy.Container instances in place of any of the arguments.

Examples

With ivy.Dtype input:

>>> x = ivy.is_int_dtype(ivy.float64)
>>> print(x)
False

With ivy.Array input:

>>> x = ivy.array([1., 2., 3.])
>>> print(ivy.is_int_dtype(x), x.dtype)
False float32

With ivy.NativeArray input:

>>> x = ivy.native_array([[-1, -1, -1], [1, 1, 1]], dtype=ivy.int16)
>>> print(ivy.is_int_dtype(x))
True

With Number input:

>>> x = 1
>>> print(ivy.is_int_dtype(x))
True

With ivy.Container input:

>>> x = ivy.Container(a=ivy.array([0., 1., 2.]),b=ivy.array([3, 4, 5]))
>>> print(ivy.is_int_dtype(x))
{
    a: False,
    b: True
}

Array.is_int_dtype(self)

Return type:

bool

Container.is_int_dtype(self, /, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False)

Return type:

Container