Data Types (dtype)

numpyCore Python provides NumPy-compatible data types for array elements.

Example

import numpycore as np

# Create arrays with specific dtypes
arr_float = np.array([1, 2, 3], dtype=np.float64)
arr_int = np.array([1.5, 2.5, 3.5], dtype=np.int32)

# Check dtype
print(arr_float.dtype)  # float64
print(arr_int.dtype)    # int32

Numeric Types

Type	Alias	Description
float64	float_, double	64-bit floating point
float32	single	32-bit floating point
int64	int_, long	64-bit signed integer
int32	intc	32-bit signed integer
int16	short	16-bit signed integer
int8	byte	8-bit signed integer
uint64	ulong	64-bit unsigned integer
uint32	uintc	32-bit unsigned integer
uint16	ushort	16-bit unsigned integer
uint8	ubyte	8-bit unsigned integer

Complex Types

Type	Alias	Description
complex128	cdouble	Complex with two 64-bit floats
complex64	csingle	Complex with two 32-bit floats

Boolean Type

Type	Alias	Description
bool_	bool8	Boolean (True/False)

dtype Attributes

Attribute	Description
name	Name of the data type
kind	Character code for data type kind
itemsize	Size of element in bytes
byteorder	Byte order (‘=’ native, ‘<’ little, ‘>’ big)
char	Single character type string