def _data_type(self):
"""
Returns the data type for this netcdf dataset
:rtype: str
"""
if len(self.files) < 1:
raise RuntimeException("No files to import were specified.")
netCDF4 = import_netcdf4()
nci = netCDF4.Dataset(self.files[0].get_filepath(), 'r')
netcdf_data_type = nci.variables[self.bands[0].identifier].dtype.name
return GDALGmlUtil.data_type_to_gdal_type(netcdf_data_type)
def get_data_type(self, netcdf_recipe_converter):
"""
Return the data type of opened dataset
:param: AbstractToCoverageConverter netcdf_recipe: Converter for netCDF recipe
:return: str data_type
"""
collected_data_type = []
for band in netcdf_recipe_converter.bands:
band_id = band.identifier
netcdf_data_type = self.get_dataset().variables[band_id].dtype.name
band_data_type = GDALGmlUtil.data_type_to_gdal_type(
netcdf_data_type)
collected_data_type.append(band_data_type)
data_type = ",".join(collected_data_type)
return data_type
