def __getitem__(self, indices):
if self.variable.getDataType() in [DataType.STRUCTURE, DataType.SEQUENCE]:
if isinstance(indices, str): #metadata
return self.member_array(indices)
else:
a = self.dataset.read(self.name)
return StructureArray(a.getArrayObject())
if indices is None:
inds = []
for i in range(self.ndim):
inds.append(slice(None))
indices = tuple(inds)
if not isinstance(indices, tuple):
inds = []
inds.append(indices)
indices = inds
if len(indices) < self.ndim:
indices = list(indices)
for i in range(self.ndim - len(indices)):
indices.append(slice(None))
indices = tuple(indices)
if len(indices) != self.ndim:
print 'indices must be ' + str(self.ndim) + ' dimensions!'
return None
if not self.proj is None and not self.proj.isLonLat():
xlim = None
ylim = None
xidx = -1
yidx = -1
for i in range(0, self.ndim):
dim = self.dims[i]
if dim.getDimType() == DimensionType.X:
k = indices[i]
if isinstance(k, basestring):
xlims = k.split(':')
if len(xlims) == 1:
xlim = [float(xlims[0])]
else:
xlim = [float(xlims[0]), float(xlims[1])]
xidx = i
elif dim.getDimType() == DimensionType.Y:
k = indices[i]
if isinstance(k, basestring):
ylims = k.split(':')
if len(ylims) == 1:
ylim = [float(ylims[0])]
else:
ylim = [float(ylims[0]), float(ylims[1])]
yidx = i
if not xlim is None and not ylim is None:
fromproj=KnownCoordinateSystems.geographic.world.WGS1984
inpt = PointD(xlim[0], ylim[0])
outpt1 = Reproject.reprojectPoint(inpt, fromproj, self.proj)
if len(xlim) == 1:
xlim = [outpt1.X]
ylim = [outpt1.Y]
else:
inpt = PointD(xlim[1], ylim[1])
outpt2 = Reproject.reprojectPoint(inpt, fromproj, self.proj)
xlim = [outpt1.X, outpt2.X]
ylim = [outpt1.Y, outpt2.Y]
indices1 = []
for i in range(0, self.ndim):
if i == xidx:
if len(xlim) == 1:
indices1.append(str(xlim[0]))
else:
indices1.append(str(xlim[0]) + ':' + str(xlim[1]))
elif i == yidx:
if len(ylim) == 1:
indices1.append(str(ylim[0]))
else:
indices1.append(str(ylim[0]) + ':' + str(ylim[1]))
else:
indices1.append(indices[i])
indices = indices1
origin = []
size = []
stride = []
ranges = []
dims = []
flips = []
onlyrange = True
for i in range(0, self.ndim):
isrange = True
dimlen = self.dimlen(i)
k = indices[i]
if isinstance(k, int):
if k < 0:
k = self.dims[i].getLength() + k
sidx = k
eidx = k
step = 1
elif isinstance(k, slice):
if isinstance(k.start, basestring):
sv = float(k.start)
sidx = self.dims[i].getValueIndex(sv)
elif isinstance(k.start, datetime.datetime):
sv = miutil.date2num(k.start)
sidx = self.dims[i].getValueIndex(sv)
else:
sidx = 0 if k.start is None else k.start
if sidx < 0:
sidx = self.dimlen(i) + sidx
if isinstance(k.stop, basestring):
ev = float(k.stop)
eidx = self.dims[i].getValueIndex(ev)
elif isinstance(k.stop, datetime.datetime):
ev = miutil.date2num(k.stop)
eidx = self.dims[i].getValueIndex(ev)
else:
eidx = self.dimlen(i) if k.stop is None else k.stop
if eidx < 0:
eidx = self.dimlen(i) + eidx
eidx -= 1
if isinstance(k.step, basestring):
nv = float(k.step) + self.dims[i].getDimValue()[0]
nidx = self.dims[i].getValueIndex(nv)
step = nidx - sidx
elif isinstance(k.step, datetime.timedelta):
nv = miutil.date2num(k.start + k.step)
nidx = self.dims[i].getValueIndex(nv)
step = nidx - sidx
else:
step = 1 if k.step is None else k.step
if sidx > eidx:
iidx = eidx
eidx = sidx
sidx = iidx
elif isinstance(k, list):
onlyrange = False
isrange = False
if not isinstance(k[0], datetime.datetime):
ranges.append(k)
else:
tlist = []
for tt in k:
sv = miutil.date2num(tt)
idx = self.dims[i].getValueIndex(sv)
tlist.append(idx)
ranges.append(tlist)
k = tlist
elif isinstance(k, basestring):
dim = self.variable.getDimension(i)
kvalues = k.split(':')
sv = float(kvalues[0])
sidx = dim.getValueIndex(sv)
if len(kvalues) == 1:
eidx = sidx
step = 1
else:
ev = float(kvalues[1])
eidx = dim.getValueIndex(ev)
if len(kvalues) == 2:
step = 1
else:
step = int(float(kvalues[2]) / dim.getDeltaValue())
if sidx > eidx:
iidx = eidx
eidx = sidx
sidx = iidx
else:
print k
return None
if isrange:
if eidx >= dimlen:
print 'Index out of range!'
return None
origin.append(sidx)
n = eidx - sidx + 1
size.append(n)
if n > 1:
dim = self.variable.getDimension(i)
if dim.isReverse():
step = -step
dim = dim.extract(sidx, eidx, step)
dim.setReverse(False)
dims.append(dim)
stride.append(step)
if step < 0:
step = abs(step)
flips.append(i)
rr = Range(sidx, eidx, step)
ranges.append(rr)
else:
if len(k) > 1:
dim = self.variable.getDimension(i)
dim = dim.extract(k)
dim.setReverse(False)
dims.append(dim)
#rr = self.dataset.read(self.name, origin, size, stride).reduce()
if onlyrange:
rr = self.dataset.dataset.read(self.name, ranges)
else:
rr = self.dataset.dataset.take(self.name, ranges)
if rr.getSize() == 1:
iter = rr.getIndexIterator()
return iter.getObjectNext()
else:
for i in flips:
rr = rr.flip(i)
rr = rr.reduce()
ArrayMath.missingToNaN(rr, self.fill_value)
if len(flips) > 0:
rrr = Array.factory(rr.getDataType(), rr.getShape())
MAMath.copy(rrr, rr)
array = np.array(rrr)
else:
array = np.array(rr)
data = np.DimArray(array, dims, self.fill_value, self.dataset.proj)
return data
def __getitem__(self, indices):
if not isinstance(indices, tuple):
inds = []
inds.append(indices)
indices = inds
if len(indices) < self.ndim:
indices = list(indices)
for i in range(self.ndim - len(indices)):
indices.append(slice(None))
indices = tuple(indices)
if len(indices) != self.ndim:
print 'indices must be ' + str(self.ndim) + ' dimensions!'
return None
k = indices[0]
if isinstance(k, int):
sidx = k
eidx = k
step = 1
elif isinstance(k, slice):
sidx = 0 if k.start is None else k.start
if sidx < 0:
sidx = self.tnum + sidx
eidx = self.tnum if k.stop is None else k.stop
if eidx < 0:
eidx = self.tnum + eidx
eidx -= 1
step = 1 if k.step is None else k.step
elif isinstance(k, list):
sidx = self.dataset.timeindex(k[0])
if len(k) == 1:
eidx = sidx
step = 1
else:
eidx = self.dataset.timeindex(k[1])
if len(k) == 3:
tt = self.dataset.timeindex(k[0] + k[3])
step = tt - sidx
else:
step = 1
sfidx = self.dataset.datafileindex(sidx)
si = sidx
isfirst = True
times = []
fidx = sfidx
aa = None
var = None
for i in range(sidx, eidx + 1, step):
times.append(miutil.date2num(self.dataset.gettime(i)))
fidx = self.dataset.datafileindex(i)
if fidx > sfidx:
ei = i - step
ddf = self.dataset[sfidx]
var = ddf[self.name]
ii, ssi = self.dataset.dftindex(si)
ii, eei = self.dataset.dftindex(ei)
eei += 1
nindices = list(indices)
nindices[0] = slice(ssi, eei, step)
nindices = tuple(nindices)
aa = var.__getitem__(nindices)
if si == ei:
if isinstance(aa, np.DimArray):
aa.addtdim(self.dataset.gettime(si))
else:
aa = np.array([aa])
aa = np.DimArray(aa)
aa.addtdim(self.dataset.gettime(si))
if isfirst:
data = aa
isfirst = False
else:
data = np.concatenate([data, aa])
si = i
sfidx = fidx
if si < eidx + 1:
ei = eidx + 1 - step
ddf = self.dataset[sfidx]
var = ddf[self.name]
ii, ssi = self.dataset.dftindex(si)
ii, eei = self.dataset.dftindex(ei)
eei += 1
nindices = list(indices)
nindices[0] = slice(ssi, eei, step)
nindices = tuple(nindices)
aa = var.__getitem__(nindices)
if si == ei and eidx != sidx:
if isinstance(aa, np.DimArray):
aa.addtdim(self.dataset.gettime(si))
else:
aa = np.array([aa])
aa = np.DimArray(aa)
aa.addtdim(self.dataset.gettime(si))
if isfirst:
data = aa
isfirst = False
else:
data = np.concatenate([data, aa])
if aa is None:
sfidx = self.dataset.datafileindex(sidx)
ddf = self.dataset[sfidx]
var = ddf[self.name]
ii, ssi = self.dataset.dftindex(sidx)
nindices = list(indices)
nindices[0] = slice(ssi, ssi, step)
nindices = tuple(nindices)
aa = var.__getitem__(nindices)
return aa
if isinstance(data, np.DimArray):
return data
else:
dims = aa.dims
dims[0].setDimValues(times)
r = np.DimArray(data, dims, aa.fill_value, aa.proj)
return r
