NwbFile
- class NwbFile(propValues)[source]
Bases:
types.core.NWBFileNWBFILE - Root object representing an NWB file.
Requires that core and extension NWB types have been generated and reside in a
+typesnamespace on the MATLAB search path.- Usage:
Example 1 - Construct a simple NwbFile object for export:
nwb = NwbFile; nwb.epochs = types.core.Epochs; nwbExport(nwb, 'epoch.nwb');
- See also:
- Constructor Summary
- NwbFile(propValues)
NWBFILE - Create an NWB File object
- Method Summary
- addRef(container, options)
addRef()- Record that an object in this file refers to an external entity.- Syntax:
nwb.addRef(container, EntityId=entityId, EntityUri=entityUri)records that container refers to the external entity identified by entityId, creating this file’s HERD (see getExternalResources) if it does not have one yet.nwb.addRef(__, Attribute=attribute)attaches the reference to a neurodata object held by container rather than to container itself, for example a column of a DynamicTable.- Input Arguments:
container - The neurodata object the reference is attached to, for example a
types.core.Subjector a column of a table. Must already be part of this file.
- Name-Value Arguments:
EntityId (
string) - Identifier of the entity in the external resource, given as a compact URI (CURIE) of the form prefix:identifier, for example “NCBITaxon:10090”.EntityUri (
string) - The URL that EntityId resolves to. Required the first time an entity is added; ignored afterwards, since the stored URI is kept.Key (
string) - The term as it is used in the file, for example “Mus musculus”.Attribute (
string) - Name of a property of container holding the neurodata object the reference belongs to. Only properties that are themselves neurodata types are supported, such as a column of a table.Field (
string) - Field of a compound data type the reference applies to. Leave unset unless the target is a compound dataset.
- Usage:
Example 1 - Annotate a subject’s species:
nwb.addRef(nwb.general_subject, Key=nwb.general_subject.species, ... EntityId="NCBITaxon:10090", ... EntityUri="http://purl.obolibrary.org/obo/NCBITaxon_10090")
- See also:
NwbFile.getExternalResources types.hdmf_common.HERD
- applyDatasetSettings(settingsReference, options)
APPLYDATASETSETTINGS - Configure datasets using NWB dataset settings
- Syntax:
nwb.applyDatasetSettings(settingsReference)applies a dataset configuration profile to the nwb-filenwb. This method accepts the filename of a custom configuration profile or a structure representing a configuration profile.- Input Arguments:
- Name-Value Arguments:
OverrideExisting (
logical) - This boolean determines if existing DataPipe objects in the file will be reconfigured with the provided options. Default is false. Important: This does not work for DataPipes that has previously been exported to file.
- Output Arguments:
datasetConfig - (Optional) The configuration settings applied to the dataset.
- See also:
io.config.enum.ConfigurationProfileNwbFile.applyDatasetSettingsProfile()
- applyDatasetSettingsProfile(profile, options)
APPLYDATASETSETTINGSPROFILE - Configure datasets using predefined settings profile
- Syntax:
nwb.applyDatasetSettingsProfile(profile)applies a dataset configuration profile to the nwb-filenwb. Available profiles: “default”, “cloud”, “archive”. This will configure datasets in theNwbFileobject for chunking and compression.- Input Arguments:
- Name-Value Arguments:
OverrideExisting (
logical) - This boolean determines if existing DataPipe objects in the file will be reconfigured with the provided options. Default is false. Important: This does not work for DataPipes that has previously been exported to file.
- Output Arguments:
datasetConfig - (Optional) The configuration settings applied to the dataset.
- See also:
io.config.enum.ConfigurationProfileNwbFile.applyDatasetSettings()
- export(filename, mode, options)
EXPORT - Export NWB file object
- getExternalResources()
getExternalResources()- Get this file’s HERD, creating one if needed.- Syntax:
herd = nwb.getExternalResources()returns the file’s HERD (HDMF External Resources Data Structure), which records that terms used in the file correspond to entities in an external resource such as an ontology. A file has at most one HERD, so this returns the existing one if the file already has one, for example afternwbRead(), and attaches a new empty one otherwise. The HERD it returns can be exported as it is, so a file whose external resources hold no references still writes them.- Output Arguments:
herd (
types.hdmf_common.HERD) - The HERD external resources object for this file.
- See also:
NwbFile.addRef types.hdmf_common.HERD
- getTypeObjects(typeName, options)
GETTYPEOBJECTS - Retrieve NWB objects of a specified type.
- Syntax:
- Input Arguments:
obj (
NwbFile) - TheNwbFileobject from which to retrieve NWB objects.typeName (
1,1) string - The name of the type to search for. Can include namespace, but does not have to, i.etypes.core.TimeSeriesand TimeSeries are supported.options (
name-value pairs) - Optional name-value pairs. Available options:IncludeSubTypes logical - Optional: set to true to include subclasses in the search. Default is false.
- Output Arguments:
nwbObjects (
cell) - A cell array of NWB objects of the specified type.
- Usage:
Example 1 - Get all ElectricalSeries objects from NwbFile:
evalc('run("ecephys.mlx")'); nwb.getTypeObjects('ElectricalSeries')
Example 2 - Get all ElectricalSeries and subtype objects from NwbFile:
evalc('run("ecephys.mlx")') nwb.getTypeObjects('ElectricalSeries', 'IncludeSubTypes', true)
- listNwbTypes(options)
listNwbTypes()- List all unique NWB (neurodata) types in file
- listRemappedNames()
- resolve(path)
- searchFor(typename, varargin)
searchFor()- Search for for a given typename within theNwbFileobjectIncluding the full namespace is optional.
Warning
The returned paths are resolvable but do not necessarily indicate a real HDF5 path. Their only function is to be resolvable.