# Data Type API

The standard array can have 24 different data types (and has some support for adding your own types). These data types all have an enumerated type, an enumerated type-character, and a corresponding array scalar Python type object (placed in a hierarchy). There are also standard C typedefs to make it easier to manipulate elements of the given data type. For the numeric types, there are also bit-width equivalent C typedefs and named typenumbers that make it easier to select the precision desired.

Warning

The names for the types in c code follows c naming conventions more closely. The Python names for these types follow Python conventions. Thus, `NPY_FLOAT` picks up a 32-bit float in C, but `numpy.float_` in Python corresponds to a 64-bit double. The bit-width names can be used in both Python and C for clarity.

## Enumerated Types

enum NPY_TYPES

  There is a list of enumerated types defined providing the basic 24 data types plus some useful generic names. Whenever the code requires a type number, one of these enumerated types is requested. The types are all called `NPY_{NAME}`:

  enumerator NPY_BOOL

    The enumeration value for the boolean type, stored as one byte. It may only be set to the values 0 and 1.

  enumerator NPY_BYTE
  enumerator NPY_INT8

    The enumeration value for an 8-bit/1-byte signed integer.

  enumerator NPY_SHORT
  enumerator NPY_INT16

    The enumeration value for a 16-bit/2-byte signed integer.

  enumerator NPY_INT
  enumerator NPY_INT32

    The enumeration value for a 32-bit/4-byte signed integer.

  enumerator NPY_LONG

    Equivalent to either NPY_INT or NPY_LONGLONG, depending on the platform.

  enumerator NPY_LONGLONG
  enumerator NPY_INT64

    The enumeration value for a 64-bit/8-byte signed integer.

  enumerator NPY_UBYTE
  enumerator NPY_UINT8

    The enumeration value for an 8-bit/1-byte unsigned integer.

  enumerator NPY_USHORT
  enumerator NPY_UINT16

    The enumeration value for a 16-bit/2-byte unsigned integer.

  enumerator NPY_UINT
  enumerator NPY_UINT32

    The enumeration value for a 32-bit/4-byte unsigned integer.

  enumerator NPY_ULONG

    Equivalent to either NPY_UINT or NPY_ULONGLONG, depending on the platform.

  enumerator NPY_ULONGLONG
  enumerator NPY_UINT64

    The enumeration value for a 64-bit/8-byte unsigned integer.

  enumerator NPY_HALF
  enumerator NPY_FLOAT16

    The enumeration value for a 16-bit/2-byte IEEE 754-2008 compatible floating point type.

  enumerator NPY_FLOAT
  enumerator NPY_FLOAT32

    The enumeration value for a 32-bit/4-byte IEEE 754 compatible floating point type.

  enumerator NPY_DOUBLE
  enumerator NPY_FLOAT64

    The enumeration value for a 64-bit/8-byte IEEE 754 compatible floating point type.

  enumerator NPY_LONGDOUBLE

    The enumeration value for a platform-specific floating point type which is at least as large as NPY_DOUBLE, but larger on many platforms.

  enumerator NPY_CFLOAT
  enumerator NPY_COMPLEX64

    The enumeration value for a 64-bit/8-byte complex type made up of two NPY_FLOAT values.

  enumerator NPY_CDOUBLE
  enumerator NPY_COMPLEX128

    The enumeration value for a 128-bit/16-byte complex type made up of two NPY_DOUBLE values.

  enumerator NPY_CLONGDOUBLE

    The enumeration value for a platform-specific complex floating point type which is made up of two NPY_LONGDOUBLE values.

  enumerator NPY_DATETIME

    The enumeration value for a data type which holds dates or datetimes with a precision based on selectable date or time units.

  enumerator NPY_TIMEDELTA

    The enumeration value for a data type which holds lengths of times in integers of selectable date or time units.

  enumerator NPY_STRING

    The enumeration value for ASCII strings of a selectable size. The strings have a fixed maximum size within a given array.

  enumerator NPY_UNICODE

    The enumeration value for UCS4 strings of a selectable size. The strings have a fixed maximum size within a given array.

  enumerator NPY_OBJECT

    The enumeration value for references to arbitrary Python objects.

  enumerator NPY_VOID

    Primarily used to hold struct dtypes, but can contain arbitrary binary data.

  Some useful aliases of the above types are

  enumerator NPY_INTP

    The enumeration value for a signed integer type which is the same size as a (void *) pointer. This is the type used by all arrays of indices.

  enumerator NPY_UINTP

    The enumeration value for an unsigned integer type which is the same size as a (void *) pointer.

  enumerator NPY_MASK

    The enumeration value of the type used for masks, such as with the `NPY_ITER_ARRAYMASK` iterator flag. This is equivalent to `NPY_UINT8`.

  enumerator NPY_DEFAULT_TYPE

    The default type to use when no dtype is explicitly specified, for example when calling np.zero(shape). This is equivalent to `NPY_DOUBLE`.

Other useful related constants are

NPY_NTYPES

  The total number of built-in NumPy types. The enumeration covers the range from 0 to NPY_NTYPES-1.

NPY_NOTYPE

  A signal value guaranteed not to be a valid type enumeration number.

NPY_USERDEF

  The start of type numbers used for Custom Data types.

The various character codes indicating certain types are also part of an enumerated list. References to type characters (should they be needed at all) should always use these enumerations. The form of them is `NPY_{NAME}LTR` where `{NAME}` can be

> BOOL, BYTE, UBYTE, SHORT, USHORT, INT, UINT, LONG, ULONG, LONGLONG, ULONGLONG, HALF, FLOAT, DOUBLE, LONGDOUBLE, CFLOAT, CDOUBLE, CLONGDOUBLE, DATETIME, TIMEDELTA, OBJECT, STRING, VOID

> INTP, UINTP

> GENBOOL, SIGNED, UNSIGNED, FLOATING, COMPLEX

The latter group of `{NAME}s` corresponds to letters used in the array interface typestring specification.

## Defines

### Max and min values for integers

`NPY_MAX_INT{bits}`, `NPY_MAX_UINT{bits}`, `NPY_MIN_INT{bits}`

  These are defined for `{bits}` = 8, 16, 32, 64, 128, and 256 and provide the maximum (minimum) value of the corresponding (unsigned) integer type. Note: the actual integer type may not be available on all platforms (i.e. 128-bit and 256-bit integers are rare).

`NPY_MIN_{type}`

  This is defined for `{type}` = BYTE, SHORT, INT, LONG, LONGLONG, INTP

`NPY_MAX_{type}`

  This is defined for all defined for `{type}` = BYTE, UBYTE, SHORT, USHORT, INT, UINT, LONG, ULONG, LONGLONG, ULONGLONG, INTP, UINTP

### Number of bits in data types

All `NPY_SIZEOF_{CTYPE}` constants have corresponding `NPY_BITSOF_{CTYPE}` constants defined. The `NPY_BITSOF_{CTYPE}` constants provide the number of bits in the data type. Specifically, the available `{CTYPE}s` are

> BOOL, CHAR, SHORT, INT, LONG, LONGLONG, FLOAT, DOUBLE, LONGDOUBLE

### Bit-width references to enumerated typenums

All of the numeric data types (integer, floating point, and complex) have constants that are defined to be a specific enumerated type number. Exactly which enumerated type a bit-width type refers to is platform dependent. In particular, the constants available are `PyArray_{NAME}{BITS}` where `{NAME}` is INT, UINT, FLOAT, COMPLEX and `{BITS}` can be 8, 16, 32, 64, 80, 96, 128, 160, 192, 256, and 512. Obviously not all bit-widths are available on all platforms for all the kinds of numeric types. Commonly 8-, 16-, 32-, 64-bit integers; 32-, 64-bit floats; and 64-, 128-bit complex types are available.

### Integer that can hold a pointer

The constants NPY_INTP and NPY_UINTP refer to an enumerated integer type that is large enough to hold a pointer on the platform. Index arrays should always be converted to NPY_INTP , because the dimension of the array is of type npy_intp.

## C-type names

There are standard variable types for each of the numeric data types and the bool data type. Some of these are already available in the C-specification. You can create variables in extension code with these types.

### Boolean

type npy_bool

  unsigned char; The constants `NPY_FALSE` and `NPY_TRUE` are also defined.

### (Un)Signed Integer

Unsigned versions of the integers can be defined by pre-pending a ‘u’ to the front of the integer name.

type npy_byte

  char

type npy_ubyte

  unsigned char

type npy_short

  short

type npy_ushort

  unsigned short

type npy_int

  int

type npy_uint

  unsigned int

type npy_int16

  16-bit integer

type npy_uint16

  16-bit unsigned integer

type npy_int32

  32-bit integer

type npy_uint32

  32-bit unsigned integer

type npy_int64

  64-bit integer

type npy_uint64

  64-bit unsigned integer

type npy_long

  long int

type npy_ulong

  unsigned long int

type npy_longlong

  long long int

type npy_ulonglong

  unsigned long long int

type npy_intp

  Py_intptr_t (an integer that is the size of a pointer on the platform).

type npy_uintp

  unsigned Py_intptr_t (an integer that is the size of a pointer on the platform).

### (Complex) Floating point

type npy_half

  16-bit float

type npy_float

  32-bit float

type npy_cfloat

  32-bit complex float

type npy_double

  64-bit double

type npy_cdouble

  64-bit complex double

type npy_longdouble

  long double

type npy_clongdouble

  long complex double

complex types are structures with .real and .imag members (in that order).

### Bit-width names

There are also typedefs for signed integers, unsigned integers, floating point, and complex floating point types of specific bit- widths. The available type names are

> `npy_int{bits}`, `npy_uint{bits}`, `npy_float{bits}`, and `npy_complex{bits}`

where `{bits}` is the number of bits in the type and can be 8, 16, 32, 64, 128, and 256 for integer types; 16, 32 , 64, 80, 96, 128, and 256 for floating-point types; and 32, 64, 128, 160, 192, and 512 for complex-valued types. Which bit-widths are available is platform dependent. The bolded bit-widths are usually available on all platforms.

## Printf Formatting

For help in printing, the following strings are defined as the correct format specifier in printf and related commands.

NPY_LONGLONG_FMT

NPY_ULONGLONG_FMT

NPY_INTP_FMT

NPY_UINTP_FMT

NPY_LONGDOUBLE_FMT