new_el = eltype(d, kdims, vdims)
if new_el.interface is GeoPandasInterface:
types[-1] = GeoDataFrame
new_data.append(new_el.data)
continue
new_dict = {}
for d in new_el.dimensions():
if d in (xname, yname):
scalar = False
else:
scalar = new_el.interface.isscalar(new_el, d)
vals = new_el.dimension_values(d, not scalar)
new_dict[d.name] = vals[0] if scalar else vals
new_data.append(new_dict)
if len(set(types)) > 1:
raise DataError('Mixed types not supported')
if new_data and types[0] is GeoDataFrame:
data = pd.concat(new_data)
else:
columns = [d.name for d in kdims + vdims if d not in (xname, yname)]
geom = GeoPandasInterface.geom_type(eltype)
if not len(data):
return GeoDataFrame([], columns=['geometry'] + columns)
data = to_geopandas(new_data, xname, yname, columns, geom)
return data
Interface.register(GeoPandasInterface)
Dataset.datatype = Dataset.datatype + ['geodataframe']
Path.datatype = Path.datatype + ['geodataframe']
return DictInterface.values(dataset, dim, expanded, flat)
@classmethod
def select(cls, dataset, selection_mask=None, **selection):
raise NotImplementedError(
'select operation not implemented on geometries')
@classmethod
def iloc(cls, dataset, index):
raise NotImplementedError(
'iloc operation not implemented for geometries.')
@classmethod
def sample(cls, dataset, samples=[]):
raise NotImplementedError(
'sampling operation not implemented for geometries.')
@classmethod
def aggregate(cls, dataset, kdims, function, **kwargs):
raise NotImplementedError(
'aggregate operation not implemented for geometries.')
@classmethod
def concat(cls, datasets, dimensions, vdims):
raise NotImplementedError(
'concat operation not implemented for geometries.')
MultiInterface.subtypes.insert(0, 'geom_dictionary')
Interface.register(GeomDictInterface)
arr = geom_to_array(row['geometry'])
d = {(xdim.name, ydim.name): arr}
d.update({vd.name: row[vd.name] for vd in dataset.vdims})
ds = dataset.clone(d, datatype=['dictionary'])
for i, row in dataset.data.iterrows():
if datatype == 'geom':
objs.append(row['geometry'])
continue
geom = row.geometry
arr = geom_to_array(geom)
d = {xdim.name: arr[:, 0], ydim.name: arr[:, 1]}
d.update({vd.name: row[vd.name] for vd in dataset.vdims})
ds.data = d
if datatype == 'array':
obj = ds.array(**kwargs)
elif datatype == 'dataframe':
obj = ds.dframe(**kwargs)
elif datatype == 'columns':
obj = ds.columns(**kwargs)
elif datatype is None:
obj = ds.clone()
else:
raise ValueError("%s datatype not support" % datatype)
objs.append(obj)
return objs
Interface.register(GeoPandasInterface)
Dataset.datatype = ['geodataframe']+Dataset.datatype
Path.datatype = ['geodataframe']+Path.datatype
def dtype(cls, dataset, dimension):
name = dataset.get_dimension(dimension, strict=True).name
if name in cls.geom_dims(dataset):
return np.dtype('float')
return Interface.dtype(dataset, dimension)
