def __setitem__(self, key, value):
value = fromDS(value)
if isinstance(value, ndarray):
value = value._jdataset()
if isinstance(key, ndarray):
key = key._jdataset()
if isinstance(key, _booleands):
return self.__dataset.setByBoolean(value, key)
if isinstance(key, _integerds): #FIXME
return self.__dataset.setByIndex(value, key)
isslice, key = self._toslice(key)
try:
if isslice:
_setslice(self.__dataset, value, key)
return self
value = _cvt2j(value)
return self.__dataset.set(value, key)
except _jarrayindex_exception:
raise IndexError
def __cvt_jobj(obj, dtype=None, copy=True, force=False):
'''Convert object to java object'''
if isinstance(obj, ndarray):
obj = obj._jdataset()
if isinstance(obj, _ds):
if copy:
if dtype is None or _translatenativetype(dtype).value == obj.dtype:
return obj.clone()
else:
return obj.cast(_translatenativetype(dtype).value)
else:
if dtype is None:
return obj
return obj.cast(_translatenativetype(dtype).value)
if not isinstance(obj, list):
if isinstance(obj, _matrix): # cope with JAMA matrices
if dtype is None:
dtype = float64
obj = obj.getArray()
elif len(obj) == 0 and dtype is None:
dtype = float64
obj = _cvt2j(obj)
try:
iter(obj)
except:
if not force:
if isinstance(obj, complex):
return _jcomplex(obj.real, obj.imag)
return obj
if dtype is None:
dtype = _getdtypefromobj(obj)
else:
dtype = _translatenativetype(dtype)
return _df.createFromObject(obj, dtype.value)
def __cvt_jobj(obj, dtype=None, copy=True, force=False):
'''Convert object to java object'''
if isinstance(obj, ndarray):
obj = obj._jdataset()
if isinstance(obj, _ds):
if copy:
if dtype is None or _translatenativetype(dtype).value == obj.dtype:
return obj.clone()
else:
return obj.cast(_translatenativetype(dtype).value)
else:
if dtype is None:
return obj
return obj.cast(_translatenativetype(dtype).value)
if not isinstance(obj, list):
if isinstance(obj, _matrix): # cope with JAMA matrices
if dtype is None:
dtype = float64
obj = obj.getArray()
obj = _cvt2j(obj)
try:
iter(obj)
except:
if not force:
if isinstance(obj, complex):
return _jcomplex(obj.real, obj.imag)
return obj
if dtype is None:
dtype = _getdtypefromobj(obj)
else:
dtype = _translatenativetype(dtype)
return _df.createFromObject(obj, dtype.value)
def __setitem__(self, key, value):
value = fromDS(value)
if isinstance(value, ndarray):
value = value._jdataset()
else:
value = _cvt2j(value)
isslice, key = _toslice(self.ndim, key)
try:
if not isslice:
if isinstance(key, _booleands):
return self.__dataset.setByBoolean(value, key)
if isinstance(key, _integerds):
return self.__dataset.setBy1DIndex(value, key)
if isinstance(key, (tuple, list)):
if len(key) > 0 and isinstance(key[0], _integerds):
return self.__dataset.setByIndexes(value, key)
return self.__dataset.set(value, key)
_setslice(self.__dataset, value, key)
return self
except _jarrayindex_exception:
raise IndexError
def __setitem__(self, key, value):
value = fromDS(value)
if isinstance(value, ndarray):
value = value._jdataset()
else:
value = _cvt2j(value)
isslice, key = _toslice(self.ndim, key)
try:
if not isslice:
if isinstance(key, _booleands):
return self.__dataset.setByBoolean(value, key)
if isinstance(key, _integerds):
return self.__dataset.setBy1DIndex(value, key)
if isinstance(key, (tuple, list)):
if len(key) > 0 and isinstance(key[0], _integerds):
return self.__dataset.setByIndexes(value, key)
return self.__dataset.set(value, key)
_setslice(self.__dataset, value, key)
return self
except _jarrayindex_exception:
raise IndexError
def fill(self, value):
self.__dataset.fill(_cvt2j(value))
return self
def fill(self, value):
self.__dataset.fill(_cvt2j(value))
return self
