numpy.core.multiarray (version 3.0)
index
/usr/lib/python2.6/dist-packages/numpy/core/multiarray.so

 
Functions
       
_fastCopyAndTranspose(...)
_fastCopyAndTranspose(a)
_get_ndarray_c_version(...)
_get_ndarray_c_version()
 
Return the compile time NDARRAY_VERSION number.
_reconstruct(...)
_reconstruct(subtype, shape, dtype)
 
Construct an empty array. Used by Pickles.
correlate(...)
cross_correlate(a,v, mode=0)
dot(...)
format_longfloat(...)
inner(...)
scalar(...)
scalar(dtype,obj)
 
Return a new scalar array of the given type initialized with
obj. Mainly for pickle support.  The dtype must be a valid data-type
descriptor.  If dtype corresponds to an OBJECT descriptor, then obj
can be any object, otherwise obj must be a string. If obj is not given
it will be interpreted as None for object type and zeros for all other
types.
set_typeDict(...)
set_typeDict(dict)
 
Set the internal dictionary that can look up an array type using a
registered code.
test_interrupt(...)

 
Data
        ITEM_HASOBJECT = 1
ITEM_IS_POINTER = 4
LIST_PICKLE = 2
NEEDS_INIT = 8
NEEDS_PYAPI = 16
USE_GETITEM = 32
USE_SETITEM = 64
_ARRAY_API = <PyCObject object at 0x7f8ebf97eb20>
__file__ = '/usr/lib/python2.6/dist-packages/numpy/core/multiarray.so'
__name__ = 'numpy.core.multiarray'
__version__ = '3.0'
_flagdict = {'A': 256, 'ALIGNED': 256, 'C': 1, 'CONTIGUOUS': 1, 'C_CONTIGUOUS': 1, 'F': 2, 'FORTRAN': 2, 'F_CONTIGUOUS': 2, 'O': 4, 'OWNDATA': 4, ...}
error = 'multiarray.error'
typeinfo = {'BOOL': ('?', 0, 8, 1, 1, 0, <type 'numpy.bool_'>), 'BYTE': ('b', 1, 8, 1, 127, -128, <type 'numpy.int8'>), 'CDOUBLE': ('D', 15, 128, 8, <type 'numpy.complex128'>), 'CFLOAT': ('F', 14, 64, 4, <type 'numpy.complex64'>), 'CLONGDOUBLE': ('G', 16, 256, 16, <type 'numpy.complex256'>), 'Character': <type 'numpy.character'>, 'ComplexFloating': <type 'numpy.complexfloating'>, 'DOUBLE': ('d', 12, 64, 8, <type 'numpy.float64'>), 'FLOAT': ('f', 11, 32, 4, <type 'numpy.float32'>), 'Flexible': <type 'numpy.flexible'>, ...}