Data Types

Array API specification for supported data types.

A conforming implementation of the array API standard must provide and support the following data types.

bool

Boolean ( True or False ).

int8

An 8-bit signed integer whose values exist on the interval [-128, +127] .

int16

A 16-bit signed integer whose values exist on the interval [−32,767, +32,767] .

int32

A 32-bit signed integer whose values exist on the interval [−2,147,483,647, +2,147,483,647] .

int64

A 64-bit signed integer whose values exist on the interval [−9,223,372,036,854,775,807, +9,223,372,036,854,775,807] .

uint8

An 8-bit unsigned integer whose values exist on the interval [0, +255] .

uint16

A 16-bit unsigned integer whose values exist on the interval [0, +65,535] .

uint32

A 32-bit unsigned integer whose values exist on the interval [0, +4,294,967,295] .

uint64

A 64-bit unsigned integer whose values exist on the interval [0, +18,446,744,073,709,551,615] .

float32

IEEE 754 single-precision (32-bit) binary floating-point number (see IEEE 754-2019).

float64

IEEE 754 double-precision (64-bit) binary floating-point number (see IEEE 754-2019).

Future extension

complex64 and complex128 dtypes are expected to be included in the next version of this standard and to have the following casting rules (will be added to Type Promotion Rules ):

Type promotion diagram for complex dtypes in next version

See array-api/issues/102 for more details.

Note

A conforming implementation of the array API standard may provide and support additional data types beyond those described in this specification.

Data Type Objects

Data types (“dtypes”) are objects which are used as dtype specifiers in functions and methods (e.g., zeros((2, 3), dtype=float32) ).

Note

A conforming implementation may add additional methods or attributes to data type objects beyond those described in this specification.

Note

Implementations may provide other ways to specify data types (e.g., zeros((2, 3), dtype='f4') ) which are not described in this specification; however, in order to ensure portability, array library consumers are recommended to use data type objects as provided by specification conforming array libraries.

A conforming implementation of the array API standard must provide and support data type objects having the following attributes and methods.

Methods

__eq__(self, other, /)

Computes the truth value of self == other in order to test for data type object equality.

Parameters

  • self : <dtype>

    • data type instance. May be any supported data type.

  • other : <dtype>

    • other data type instance. May be any supported data type.

Returns

  • out : <bool>

    • a boolean indicating whether the data type objects are equal.

Default Data Types

A conforming implementation of the array API standard must define a default floating-point data type (either float32 or float64 ) and a default integer data type ( int32 or int64 ).

The default data types must be the same across platforms.

The default integer data type may vary depending on whether Python is 32-bit or 64-bit.

Note

The default floating-point and integer data types should be clearly defined in a conforming library’s documentation.

Data Type Categories

For the purpose of organizing functions within this specification, the following data type categories are defined.

Note

Conforming libraries are not required to organize dtypes according to these categories. These categories are only intended for use within this specification.

Note

Future versions of the specification will include additional categories for complex data types.

Numeric Data Types

int8 , int16 , int32 , int64 , uint8 , uint16 , uint32 , uint64 , float32 , and float64 (i.e., all dtypes except for bool ).

Integer Data Types

int8 , int16 , int32 , int64 , uint8 , uint16 , uint32 , and uint64 .

Floating-point Data Types

float32 and float64 .

Boolean Data Types

bool .