navis.interfaces.neuprint.fetch_mesh_neuron

navis.interfaces.neuprint.fetch_mesh_neuron(x, *, lod=1, with_synapses=False, missing_mesh='raise', parallel=True, max_threads=5, seg_source=None, client=None, **kwargs)

Fetch mesh neuron.

Requires additional packages depending on the mesh source.

For DVID you need dvid-tools:

pip3 install dvidtools

For everything else you need cloudvolume:

pip3 install cloud-volume

Parameters:

• x (str | int | list-like | pandas.DataFrame | SegmentCriteria) – Body ID(s). Multiple Ids can be provided as list-like or DataFrame with “bodyId” or “bodyid” column.

• lod (int) – Level of detail. Higher lod = coarser. Ignored if mesh source is DVID.

• with_synapses (bool, optional) – If True will download and attach synapses as .connectors.

• missing_mesh ('raise' | 'warn' | 'skip') –

  What to do if no mesh is found for a given body ID:

  "raise" (default) will raise an exception
  "warn" will throw a warning but continue
  "skip" will skip without any message
  

• parallel (bool) – If True, will use parallel threads to fetch data.

• max_threads (int) – Max number of parallel threads to use.

• seg_source (str | cloudvolume.CloudVolume, optional) – Use this to override the segmentation source specified by neuPrint.

• client (neuprint.Client, optional) – If None will try using global client.

• **kwargs – Will be passed to cloudvolume.CloudVolume.

Returns:

Containing navis.MeshNeuron. Note that meshes are resized to raw voxel size to match other spatial data from neuprint (synapses, skeletons, etc).

Return type:

navis.Neuronlist