package pyml

You can search for identifiers within the package.

in-package search v0.2.0

pyml
- Numpy
- Py
  - Array
  - Bool
  - Bytes
  - Callable
  - Capsule
  - Class
  - Dict
  - Err
  - Eval
  - Float
  - Gil
  - Import
  - Int
  - Iter
  - List
  - Long
  - Mapping
  - Marshal
  - Method
  - Module
  - Number
  - Object
  - Run
  - Sequence
  - Set
  - String
  - Traceback
  - Tuple
  - Type
- Pycaml
- Pyml_arch
- Pyops
- Pytypes
- Pyutils
- Pywrappers
  - Pycaml
  - Python2
  - Python3
  - UCS2
  - UCS4

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Class type

OCaml Interface for Numpy.

Arrays are passed in place (without copy): Python and OCaml programs can change the contents of the array and the changes are visible in the other language.

The following table gives the correspondence between bigarray kinds and Numpy element types.

float32 / NPY_FLOAT
float64 / NPY_DOUBLE
int8_signed / NPY_BYTE
int8_unsigned / NPY_UBYTE
int16_signed / NPY_SHORT
int16_unsigned / NPY_USHORT
int32 / NPY_INT
int64 / NPY_LONGLONG
nativeint / NPY_LONG
complex32 / NPY_CFLOAT
complex64 / NPY_CDOUBLE
char / NPY_CHAR

Other kinds/element types are not supported. In particular, OCaml integer kind, int, has no equivalent type in Numpy.

val of_bigarray : ('a, 'b, 'c) Bigarray.Genarray.t -> Py.Object.t

of_bigarray a returns a Numpy array that shares the same contents than the OCaml array a.

val to_bigarray : 
  ('a, 'b) Bigarray.kind ->
  'c Bigarray.layout ->
  Py.Object.t ->
  ('a, 'b, 'c) Bigarray.Genarray.t

to_bigarray kind layout a returns a bigarray that shares the same contents than the Numpy array a.