pydicom.dataset.FileMetaDataset¶
- class pydicom.dataset.FileMetaDataset(*args: Dataset | MutableMapping[BaseTag, DataElement | RawDataElement], **kwargs: Any)[source]¶
Contains a collection (dictionary) of group 2 DICOM Data Elements.
New in version 2.0.
Derived from
Dataset, but only allows Group 2 (File Meta Information) data elements- __init__(*args: Dataset | MutableMapping[BaseTag, DataElement | RawDataElement], **kwargs: Any) None[source]¶
Initialize a FileMetaDataset
Parameters are as per
Dataset; this overrides the super class only to check that all are group 2 data elements- Raises:
ValueError – If any data elements are not group 2.
Methods
__init__(*args, **kwargs)Initialize a FileMetaDataset
add(data_element)Add an element to the
Dataset.add_new(tag, VR, value)Create a new element and add it to the
Dataset.clear()Delete all the elements from the
Dataset.compress(transfer_syntax_uid[, arr, ...])Compress and update an uncompressed dataset in-place with the resulting encapsulated pixel data.
convert_pixel_data([handler_name])Convert pixel data to a
numpy.ndarrayinternally.copy()Return a shallow copy of the dataset.
data_element(name)Return the element corresponding to the element keyword name.
decode()Apply character set decoding to the elements in the
Dataset.decompress([handler_name])Decompresses Pixel Data and modifies the
Datasetin-place.dir(*filters)Return an alphabetical list of element keywords in the
Dataset.elements()Yield the top-level elements of the
Dataset.ensure_file_meta()Create an empty
Dataset.file_metaif none exists.fix_meta_info([enforce_standard])Ensure the file meta info exists and has the correct values for transfer syntax and media storage UIDs.
formatted_lines([element_format, ...])Iterate through the
Datasetyielding formattedstrfor each element.from_json(json_dataset[, bulk_data_uri_handler])Return a
Datasetfrom a DICOM JSON Model object.get(key[, default])Simulate
dict.get()to handle element tags and keywords.get_item(key)Return the raw data element if possible.
get_private_item(group, element_offset, ...)Return the data element for the given private tag group.
group_dataset(group)Return a
Datasetcontaining only elements of a certain group.items()Return the
Datasetitems to simulatedict.items().iterall()Iterate through the
Dataset, yielding all the elements.keys()Return the
Datasetkeys to simulatedict.keys().overlay_array(group)Return the Overlay Data in group as a
numpy.ndarray.pop(key, *args)Emulate
dict.pop()with support for tags and keywords.popitem()Emulate
dict.popitem().private_block(group, private_creator[, create])Return the block for the given tag group and private_creator.
private_creators(group)Return a list of private creator names in the given group.
remove_private_tags()Remove all private elements from the
Dataset.save_as(filename[, write_like_original])Write the
Datasetto filename.set_original_encoding(is_implicit_vr, ...)Set the values for the original transfer syntax and encoding.
setdefault(key[, default])Emulate
dict.setdefault()with support for tags and keywords.to_json([bulk_data_threshold, ...])Return a JSON representation of the
Dataset.to_json_dict([bulk_data_threshold, ...])Return a dictionary representation of the
Datasetconforming to the DICOM JSON Model as described in the DICOM Standard, Part 18, Annex F.top()Return a
strrepresentation of the top level elements.trait_names()Return a
listof valid names for auto-completion code.update(d)Extend
dict.update()to handle DICOM tags and keywords.validate(init_value)Raise errors if initialization value is not acceptable for file_meta
values()Return the
Datasetvalues to simulatedict.values().walk(callback[, recursive])Iterate through the
Dataset'selements and run callback on each.waveform_array(index)Return an
ndarrayfor the multiplex group at index in the (5400,0100) Waveform Sequence.Attributes
default_element_formatdefault_sequence_element_formatindent_charsis_original_encodingReturn
Trueif the encoding to be used for writing is set and is the same as that used to originally encode theDataset.parentReturn a weak reference to the parent Sequence's parent Dataset.
parent_seqReturn a weak reference to the parent
Sequence.pixel_arrayReturn the pixel data as a
numpy.ndarray.- static validate(init_value: Dataset | MutableMapping[BaseTag, DataElement | RawDataElement]) None[source]¶
Raise errors if initialization value is not acceptable for file_meta