def __getitem__(self, key):
data = self._getdata()
if isinstance(data, _ldataset):
isslice,key = self._toslice(key)
if not isslice: # single item
key = tuple([ slice(k,k+1) for k in key ])
v = _getslice(data, key)
v = v.getAbs(0)
else:
v = _getslice(data, key)
return v
return data[key]
def __getitem__(self, key):
data = self._getdata()
if isinstance(data, _ldataset):
isslice, key = _toslice(self.rank, key)
if not isslice: # single item
key = tuple([ slice(k,k+1) for k in asIterable(key) ])
v = _getslice(data, key)
v = v.getAbs(0)
else:
v = _getslice(data, key)
return v
return asarray(data)[key]
def __getitem__(self, key):
data = self._getdata()
if isinstance(data, _ldataset):
isslice, key = _toslice(self.rank, key)
if not isslice: # single item
key = tuple([slice(k, k + 1) for k in key])
v = _getslice(data, key)
v = v.getAbs(0)
else:
v = _getslice(data, key)
return v
return asarray(data)[key]
def __getitem__(self, key):
if isinstance(key, ndarray):
key = key._jdataset()
if isinstance(key, _booleands):
return self.__dataset.getByBoolean(key)
if isinstance(key, _integerds):
return self.__dataset.getByIndex(key)
# FIXME add integers indexing
isslice, key = self._toslice(key)
try:
if isslice:
return _getslice(self.__dataset, key)
return self.__dataset.getObject(key)
except _jarrayindex_exception:
raise IndexError
def __getitem__(self, key):
# FIXME add advanced integers indexing
isslice, key = _toslice(self.ndim, key)
try:
if not isslice:
if isinstance(key, _booleands):
return self.__dataset.getByBoolean(key)
if isinstance(key, _integerds):
return self.__dataset.getBy1DIndex(key)
if isinstance(key, (tuple, list)):
if len(key) > 0 and isinstance(key[0], _integerds):
return self.__dataset.getByIndexes(key)
return self.__dataset.getObject(key)
return _getslice(self.__dataset, key)
except _jarrayindex_exception:
raise IndexError
def __getitem__(self, key):
# FIXME add advanced integers indexing
isslice, key = _toslice(self.ndim, key)
try:
if not isslice:
if isinstance(key, _booleands):
return self.__dataset.getByBoolean(key)
if isinstance(key, _integerds):
return self.__dataset.getBy1DIndex(key)
if isinstance(key, (tuple, list)):
if len(key) > 0 and isinstance(key[0], _integerds):
return self.__dataset.getByIndexes(key)
return self.__dataset.getObject(key)
return _getslice(self.__dataset, key)
except _jarrayindex_exception:
raise IndexError
def ravel_multi_index(multi_index, dims, mode='raise'):
'''Converts a tuple of coordinate arrays to an array of flat indexes
'''
if isinstance(mode, tuple):
mode = [_prep_mode.get(m, -1) for m in mode]
else:
mode = _prep_mode.get(mode, -1)
if isinstance(multi_index, _ds): # split single array
multi_index = [ _getslice(multi_index, i) for i in range(multi_index.shape[0]) ]
single = False
if isinstance(multi_index[0], int):
single = True
multi_index = [ array(m)._jdataset() for m in multi_index ]
pos = _dsutils.calcIndexesFromPositions(multi_index, dims, mode)
if single:
return pos.getObject([])
return pos
def ravel_multi_index(multi_index, dims, mode='raise'):
'''Converts a tuple of coordinate arrays to an array of flat indexes
'''
if isinstance(mode, tuple):
mode = [_prep_mode.get(m, -1) for m in mode]
else:
mode = _prep_mode.get(mode, -1)
if isinstance(multi_index, _ds): # split single array
multi_index = [
_getslice(multi_index, i) for i in range(multi_index.shape[0])
]
single = False
if isinstance(multi_index[0], int):
single = True
multi_index = [array(m)._jdataset() for m in multi_index]
pos = _dsutils.calcIndexesFromPositions(multi_index, dims, mode)
if single:
return pos.getObject([])
return pos