Numo vs ndarray

ndarray attribute

numpy	numo-narray
ndarray.__array_finalize__	no plan (internal)
ndarray.__array_priority__	no plan (internal)
ndarray.__array_wrap__	no plan (internal)

numpy.ndarray attribute

numpy	numo-narray
numpy.ndarray.__abs__	Numo::DComplex#abs
numpy.ndarray.__add__	Numo::NArray#+
numpy.ndarray.__and__	Numo::NArray#&
numpy.ndarray.__contains__	nary.eq(item).any?
numpy.ndarray.__div__	Numo::NArray#/
numpy.ndarray.__divmod__	Numo::NArray#divmod
numpy.ndarray.__eq__	Numo::NArray#==
numpy.ndarray.__float__
numpy.ndarray.__floordiv__
numpy.ndarray.__ge__	Numo::NArray#ge
numpy.ndarray.__getitem__	Numo::NArray#[]
numpy.ndarray.__getslice__	Numo::NArray#[]
numpy.ndarray.__gt__	Numo::NArray#gt
numpy.ndarray.__hex__
numpy.ndarray.__iadd__	+=
numpy.ndarray.__iand__	&=
numpy.ndarray.__idiv__	/=
numpy.ndarray.__ifloordiv__
numpy.ndarray.__ilshift__	<<=
numpy.ndarray.__imod__	%=
numpy.ndarray.__imul__	*=
numpy.ndarray.__int__
numpy.ndarray.__invert__	Numo::NArray#~
numpy.ndarray.__ior__	|=
numpy.ndarray.__ipow__	**=
numpy.ndarray.__irshift__	>>=
numpy.ndarray.__isub__	-=
numpy.ndarray.__itruediv__
numpy.ndarray.__ixor__	^=
numpy.ndarray.__le__	Numo::NArray#le
numpy.ndarray.__len__	Numo::NArray#size, length
numpy.ndarray.__long__
numpy.ndarray.__lshift__	Numo::NArray#<<
numpy.ndarray.__lt__	Numo::NArray#lt
numpy.ndarray.__mod__	Numo::NArray#%
numpy.ndarray.__mul__	Numo::NArray#*
numpy.ndarray.__ne__	!=
numpy.ndarray.__neg__	Numo::NArray#-@
numpy.ndarray.__nonzero__	Numo::Bit#where (flat indexing)
numpy.ndarray.__oct__
numpy.ndarray.__or__	Numo::NArray#|
numpy.ndarray.__pos__	+@
numpy.ndarray.__pow__	Numo::NArray#**
numpy.ndarray.__repr__
numpy.ndarray.__rshift__	Numo::NArray#>>
numpy.ndarray.__setitem__	Numo::NArray#[]=
numpy.ndarray.__setslice__
numpy.ndarray.__str__
numpy.ndarray.__sub__	Numo::NArray#-
numpy.ndarray.__truediv__
numpy.ndarray.__xor__	Numo::NArray#^
numpy.ndarray.base
numpy.ndarray.ctypes
numpy.ndarray.data
numpy.ndarray.dtype	Numo::NArray#class
numpy.ndarray.flags
numpy.ndarray.flat	(no iterator)
numpy.ndarray.imag	Numo::NArray#imag
numpy.ndarray.itemsize	Numo::NArray#byte_size
numpy.ndarray.nbytes	nary.byte_size * nary.size
numpy.ndarray.ndim	Numo::NArray#ndim
numpy.ndarray.real	Numo::NArray#real
numpy.ndarray.shape	Numo::NArray#shape
numpy.ndarray.size	Numo::NArray#size
numpy.ndarray.strides
numpy.ndarray.T	Numo::NArray#transpose

numpy.ndarray method

numpy	numo-narray
numpy.ndarray.__array__
numpy.ndarray.__array_wrap__
numpy.ndarray.__copy__	Numo::NArray#clone, #dup
numpy.ndarray.__deepcopy__	Marshal.load(Marshal.dump(nary))
numpy.ndarray.__reduce__
numpy.ndarray.__setstate__
numpy.ndarray.all	Numo::Bit#all?
numpy.ndarray.any	Numo::Bit#any?
numpy.ndarray.argmax	Numo::NArray#argmax, Numo::NArray#max_index
numpy.ndarray.argmin	Numo::NArray#argmin, Numo::NArray#min_index
numpy.ndarray.argpartition
numpy.ndarray.argsort	Numo::NArray#sort_index
numpy.ndarray.astype	Numo::NArray#cast_to
numpy.ndarray.byteswap	Numo::NArray#swap_byte
numpy.ndarray.choose
numpy.ndarray.clip	Numo::NArray#clip
numpy.ndarray.compress
numpy.ndarray.conj	Numo::DComplex#conj
numpy.ndarray.conjugate	Numo::DFloat#conj
numpy.ndarray.copy	Numo::NArray#clone, #dup
numpy.ndarray.cumprod	Numo::NArray#cumprod
numpy.ndarray.cumsum	Numo::NArray#cumsum
numpy.ndarray.diagonal	Numo::NArray#diagonal
numpy.ndarray.dot	Numo::NArray#dot
numpy.ndarray.dump	Numo::NArray#marshal_dump
numpy.ndarray.dumps	Numo::NArray#marshal_dump
numpy.ndarray.fill	Numo::NArray#fill
numpy.ndarray.flatten	Numo::NArray#flatten
numpy.ndarray.getfield
numpy.ndarray.item	Numo::NArray#[]
numpy.ndarray.itemset	Numo::NArray#[]=
numpy.ndarray.max	Numo::NArray#max
numpy.ndarray.mean	Numo::NArray#mean
numpy.ndarray.min	Numo::NArray#min
numpy.ndarray.newbyteorder	NArray#to_host, #to_swapped, #to_network, #to_vacs
numpy.ndarray.nonzero	Numo::Bit#where (flat indexing)
numpy.ndarray.partition
numpy.ndarray.prod	Numo::NArray#prod
numpy.ndarray.ptp	Numo::NArray#ptp
numpy.ndarray.put	nary[ind] = val (flat indexing)
numpy.ndarray.ravel
numpy.ndarray.repeat	Numo::NArray#repeat
numpy.ndarray.reshape	Numo::NArray#reshape
numpy.ndarray.resize
numpy.ndarray.round	Numo::NArray#round
numpy.ndarray.searchsorted
numpy.ndarray.setfield
numpy.ndarray.setflags
numpy.ndarray.sort	Numo::NArray#sort
numpy.ndarray.squeeze
numpy.ndarray.std	Numo::NArray#stddev
numpy.ndarray.sum	Numo::NArray#sum
numpy.ndarray.swapaxes	Numo::NArray#swapaxes
numpy.ndarray.take
numpy.ndarray.tobytes	Numo::NArray#to_binary
numpy.ndarray.tofile	open(file,"w").write(nary.to_binary)
numpy.ndarray.tolist	Numo::NArray#to_a
numpy.ndarray.tostring	Numo::NArray#to_binary
numpy.ndarray.trace
numpy.ndarray.transpose	Numo::NArray#transpose
numpy.ndarray.var	Numo::NArray#transpose
numpy.ndarray.view	Numo::NArray#view

numpy.ndarray static method

numpy	numo-narray
numpy.ndarray.__new__	Numo::NArray.new