arkouda.dtypes

Module Contents

Functions

check_np_dtype(→ None)

Assert that numpy dtype dt is one of the dtypes supported

dtype(x)

get_byteorder(→ str)

Get a concrete byteorder (turns '=' into '<' or '>')

get_server_byteorder(→ str)

Get the server's byteorder

isSupportedNumber(num)

resolve_scalar_dtype(→ str)

Try to infer what dtype arkouda_server should treat val as.

translate_np_dtype(→ Tuple[str, int])

Split numpy dtype dt into its kind and byte size, raising

Attributes

ARKOUDA_SUPPORTED_DTYPES

DTypeObjects

DTypes

ScalarDTypes

all_scalars

The DType enum defines the supported Arkouda data types in string form.

bigint

bitType

bool

bool_scalars

complex128

complex64

float32

float64

float_scalars

int16

int32

int64

int8

intTypes

int_scalars

numeric_scalars

numpy_scalars

str_

str_scalars

uint16

uint32

uint64

uint8

arkouda.dtypes.ARKOUDA_SUPPORTED_DTYPES
arkouda.dtypes.DTypeObjects
arkouda.dtypes.DTypes
arkouda.dtypes.ScalarDTypes
arkouda.dtypes.all_scalars

The DType enum defines the supported Arkouda data types in string form.

arkouda.dtypes.bigint
arkouda.dtypes.bitType
arkouda.dtypes.bool
arkouda.dtypes.bool_scalars
arkouda.dtypes.check_np_dtype(dt: numpy.dtype | BigInt) → None[source]

Assert that numpy dtype dt is one of the dtypes supported by arkouda, otherwise raise TypeError.

Raises:

TypeError – Raised if the dtype is not in supported dtypes or if dt is not a np.dtype

arkouda.dtypes.complex128
arkouda.dtypes.complex64
arkouda.dtypes.dtype(x)[source]
arkouda.dtypes.float32
arkouda.dtypes.float64
arkouda.dtypes.float_scalars
arkouda.dtypes.get_byteorder(dt: numpy.dtype) → str[source]

Get a concrete byteorder (turns ‘=’ into ‘<’ or ‘>’)

arkouda.dtypes.get_server_byteorder() → str[source]

Get the server’s byteorder

arkouda.dtypes.int16
arkouda.dtypes.int32
arkouda.dtypes.int64
arkouda.dtypes.int8
arkouda.dtypes.intTypes
arkouda.dtypes.int_scalars
arkouda.dtypes.isSupportedNumber(num)[source]
arkouda.dtypes.numeric_scalars
arkouda.dtypes.numpy_scalars
arkouda.dtypes.resolve_scalar_dtype(val: object) → str[source]

Try to infer what dtype arkouda_server should treat val as.

arkouda.dtypes.str_
arkouda.dtypes.str_scalars
arkouda.dtypes.translate_np_dtype(dt) → Tuple[str, int][source]

Split numpy dtype dt into its kind and byte size, raising TypeError for unsupported dtypes.

Raises:

TypeError – Raised if the dtype is not in supported dtypes or if dt is not a np.dtype

arkouda.dtypes.uint16
arkouda.dtypes.uint32
arkouda.dtypes.uint64
arkouda.dtypes.uint8