pydicom.dataset.FileDataset

class pydicom.dataset.FileDataset(filename_or_obj: Union[str, os.PathLike[AnyStr], BinaryIO], dataset: pydicom.dataset.Dataset, preamble: Optional[bytes] = None, file_meta: Optional[pydicom.dataset.Dataset] = None, is_implicit_VR: bool = True, is_little_endian: bool = True)

An extension of Dataset to make reading and writing to file-like easier.

preamble

The optional DICOM preamble prepended to the FileDataset, if available.

Type

str or bytes or None

file_meta

The Dataset’s file meta information as a FileMetaDataset, if available (None if not present). Consists of group 0x0002 elements.

Type

FileMetaDataset or None

filename

The filename that the FileDataset was read from (if read from file) or None if the filename is not available (if read from a io.BytesIO or similar).

Type

str or None

fileobj_type

The object type of the file-like the FileDataset was read from.

is_implicit_VR

True if the dataset encoding is implicit VR, False otherwise.

Type

bool

is_little_endian

True if the dataset encoding is little endian byte ordering, False otherwise.

Type

bool

timestamp

The modification time of the file the FileDataset was read from, None if the modification time is not available.

Type

float or None

__init__(filename_or_obj: Union[str, os.PathLike[AnyStr], BinaryIO], dataset: pydicom.dataset.Dataset, preamble: Optional[bytes] = None, file_meta: Optional[pydicom.dataset.Dataset] = None, is_implicit_VR: bool = True, is_little_endian: bool = True) → None

Initialize a FileDataset read from a DICOM file.

Parameters

• filename_or_obj (str or PathLike or BytesIO or None) – Full path and filename to the file, memory buffer object, or None if is a io.BytesIO.

• dataset (Dataset or dict) – Some form of dictionary, usually a Dataset returned from dcmread().

• preamble (bytes or str, optional) – The 128-byte DICOM preamble.

• file_meta (FileMetaDataset, optional) – The file meta FileMetaDataset, such as the one returned by read_file_meta_info(), or an empty FileMetaDataset if no file meta information is in the file.

• is_implicit_VR (bool, optional) – True (default) if implicit VR transfer syntax used; False if explicit VR.

• is_little_endian (bool) – True (default) if little-endian transfer syntax used; False if big-endian.

Methods

__init__(filename_or_obj, dataset[, …])	Initialize a FileDataset read from a DICOM file.
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.
convert_pixel_data([handler_name])	Convert pixel data to a numpy.ndarray internally.
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 Dataset in-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_meta if 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 Dataset yielding formatted str for each element.
from_json(json_dataset[, bulk_data_uri_handler])	Add elements to the Dataset from DICOM JSON format.
fromkeys([value])	Create a new dictionary with keys from iterable and values set to value.
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 Dataset containing only elements of a certain group.
items()	Return the Dataset items to simulate dict.items().
iterall()	Iterate through the Dataset, yielding all the elements.
keys()	Return the Dataset keys to simulate dict.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 Dataset to 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 Dataset conforming to the DICOM JSON Model as described in the DICOM Standard, Part 18, Annex F.
top()	Return a str representation of the top level elements.
trait_names()	Return a list of valid names for auto-completion code.
update(dictionary)	Extend dict.update() to handle DICOM tags and keywords.
values()	Return the Dataset values to simulate dict.values().
walk(callback[, recursive])	Iterate through the Dataset's elements and run callback on each.
waveform_array(index)	Return an ndarray for the multiplex group at index in the (5400,0100) Waveform Sequence.

Attributes

default_element_format
default_sequence_element_format
indent_chars
is_original_encoding	Return True if the encoding to be used for writing is set and is the same as that used to originally encode the Dataset.
pixel_array	Return the pixel data as a numpy.ndarray.