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.

A conforming implementation of the array API standard must define a default floating-point data type (either float32 or float64 ), as well as a default integer data type ( int32 or int64 ). These 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 array index integer data types should be clearly defined in a conforming library’s documentation.

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

It is expected that in the next version of this standard, complex64 and complex128 dtypes will be added, with these 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

Data types (“dtypes”) are objects that can be used as dtype specifiers in functions and methods (e.g., zeros((2, 3), dtype=float32) ). A conforming implementation may add methods or attributes to data type objects; however, these methods and attributes are not included in this specification.

Implementations may provide other ways to specify data types (e.g., zeros((2, 3), dtype='f4') ); however, these are not included in this specification.

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

Data Type Categories

For the purposes of this specification, the following data type categories are defined. Libraries do not need to organize dtypes according to these categories. These are only for organizing the functions in this specification itself. 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 .