# Importers The backends use different approaches to ingest the data. ## CfRadial1 ### CfRadial1BackendEntrypoint The xarray backend {class}`~xradar.io.backends.cfradial1.CfRadial1BackendEntrypoint` opens the file with {py:class}`xarray:xarray.backends.NetCDF4DataStore`. From the xarray machinery a {py:class}`xarray:xarray.Dataset` with the complete file content is returned. In a final step the wanted group (eg. ``sweep_0``) is extracted and returned. Currently only mandatory data and metadata is provided. If needed the complete ``root`` group with all data and metadata can be returned. ### open_cfradial1_datatree With {func}`~xradar.io.backends.cfradial1.open_cfradial1_datatree` all groups (eg. ``sweeps_0`` and ``root`` are extracted from the source file and added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## ODIM_H5 ### OdimBackendEntrypoint The xarray backend {class}`~xradar.io.backends.odim.OdimBackendEntrypoint` opens the file with {class}`~xradar.io.backends.odim.OdimStore`. For the ODIM_H5 subgroups ``dataN`` and ``qualityN`` a {class}`~xradar.io.backends.odim.OdimSubStore` is implemented. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``dataset1``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_odim_datatree With {func}`~xradar.io.backends.odim.open_odim_datatree` all groups (eg. ``datasetN``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## GAMIC HDF5 ### GamicBackendEntrypoint The xarray backend {class}`~xradar.io.backends.odim.GamicBackendEntrypoint` opens the file with {class}`~xradar.io.backends.odim.GamicStore`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``scan0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_gamic_datatree With {func}`~xradar.io.backends.odim.open_gamic_datatree` all groups (eg. ``scanN``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## Furuno SCN and SCNX ### FurunoBackendEntrypoint The xarray backend {class}`~xradar.io.backends.furuno.FurunoBackendEntrypoint` opens the file with {class}`~xradar.io.backends.furuno.FurunoStore`. Furuno SCN and SCNX data files contain only one sweep group, so the group-keyword isn't used. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with the sweep group. ### open_furuno_datatree With {func}`~xradar.io.backends.furuno.open_furuno_datatree` the single group is extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## Rainbow ### RainbowBackendEntrypoint The xarray backend {class}`~xradar.io.backends.rainbow.RainbowBackendEntrypoint` opens the file with {class}`~xradar.io.backends.rainbow.RainbowStore`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_rainbow_datatree With {func}`~xradar.io.backends.rainbow.open_rainbow_datatree` all groups (eg. ``0``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## Iris/Sigmet ### IrisBackendEntrypoint The xarray backend {class}`~xradar.io.backends.iris.IrisBackendEntrypoint` opens the file with {class}`~xradar.io.backends.Iris.IrisStore`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_iris_datatree With {func}`~xradar.io.backends.iris.open_iris_datatree` all groups (eg. ``1``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## NexradLevel2 ### NexradLevel2BackendEntryPoint The xarray backend {class}`~xradar.io.backends.nexrad_level2.NexradLevel2BackendEntryPoint` opens the file with {class}`~xradar.io.backends.nexrad_level2.NexradLevel2Store`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_nexradlevel2_datatree With {func}`~xradar.io.backends.nexrad_level2.open_nexradlevel2_datatree` all groups (eg. ``1``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## Datamet ### DataMetBackendEntrypoint The xarray backend {class}`~xradar.io.backends.datamet.DataMetBackendEntrypoint` opens the file with {class}`~xradar.io.backends.datamet.DataMetStore`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_datamet_datatree With {func}`~xradar.io.backends.datamet.open_nexradlevel2_datatree` all groups (eg. ``1``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## Halo Photonics Lidar ### HPLBackendEntrypoint The xarray backend {class}`~xradar.io.backends.hpl.HPLBackendEntrypoint` opens the file with {class}`~xradar.io.backends.hpl.HplStore`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_hpl_datatree With {func}`~xradar.io.backends.hpl.open_hpl_datatree` all groups (eg. ``1``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`. ## Metek MRR2 ### MRRBackendEntrypoint The xarray backend {class}`~xradar.io.backends.metek.MRRBackendEntrypoint` opens the file with {class}`~xradar.io.backends.metek.MRR2DataStore`. Several private helper functions are used to conveniently access data and metadata. Finally, the xarray machinery returns a {py:class}`xarray:xarray.Dataset` with wanted group (eg. ``0``). Depending on the used backend kwargs several more functions are applied on that {py:class}`xarray:xarray.Dataset`. ### open_metek_datatree With {func}`~xradar.io.backends.metek.open_metek_datatree` all groups (eg. ``1``) are extracted. From that the ``root`` group is processed. Everything is finally added as ParentNodes and ChildNodes to a {py:class}`xarray:xarray.DataTree`.