.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "auto_examples/input_output/plot_printing_dataset.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_auto_examples_input_output_plot_printing_dataset.py: ========================================== Format the output of the data set printing ========================================== This example illustrates how to print the data set in your own format. .. GENERATED FROM PYTHON SOURCE LINES 9-46 .. rst-class:: sphx-glr-script-out .. code-block:: none Image Type = ['DERIVED', 'SECONDARY', 'OTHER'] Instance Creation Date = '20040826' Instance Creation Time = '185434' Instance Creator UID = '1.3.6.1.4.1.5962.3' SOP Class UID = '1.2.840.10008.5.1.4.1.1.4' SOP Instance UID = '1.3.6.1.4.1.5962.1.1.4.1.1.20040826185059.5457' Study Date = '20040826' Series Date = '' Acquisition Date = '' Study Time = '185059' Series Time = '' Acquisition Time = '' Accession Number = '' Modality = 'MR' Manufacturer = 'TOSHIBA_MEC' Institution Name = 'TOSHIBA' Referring Physician's Name = '' Timezone Offset From UTC = '-0400' Station Name = '000000000' Name of Physician(s) Reading Study = '----' Operators' Name = '----' Manufacturer's Model Name = 'MRT50H1' Patient's Name = 'CompressedSamples^MR1' Patient ID = '4MR1' Patient's Birth Date = '' Patient's Sex = 'F' Patient's Size = None Patient's Weight = '80.0000' Contrast/Bolus Agent = '' Scanning Sequence = 'SE' Sequence Variant = 'NONE' Scan Options = '' MR Acquisition Type = '3D' Slice Thickness = '0.8000' Repetition Time = '4000.0000' Echo Time = '240.0000' Number of Averages = '1.0000' Imaging Frequency = '63.92433900' Imaged Nucleus = 'H' Echo Number(s) = '1' Echo Train Length = None Device Serial Number = '-0000200' Software Versions = 'V3.51*P25' Flip Angle = '90' Patient Position = 'HFS' Study Instance UID = '1.3.6.1.4.1.5962.1.2.4.20040826185059.5457' Series Instance UID = '1.3.6.1.4.1.5962.1.3.4.1.20040826185059.5457' Study ID = '4MR1' Series Number = '1' Acquisition Number = '0' Instance Number = '1' Image Position (Patient) = [-83.9063, -91.2000, 6.6406] Image Orientation (Patient) = [1.0000, 0.0000, 0.0000, 0.0000, 1.0000, 0.0000] Frame of Reference UID = '1.3.6.1.4.1.5962.1.4.4.1.20040826185059.5457' Laterality = '' Position Reference Indicator = '' Slice Location = '0.0000' Image Comments = 'Uncompressed' Samples per Pixel = 1 Photometric Interpretation = 'MONOCHROME2' Rows = 64 Columns = 64 Pixel Spacing = [0.3125, 0.3125] Bits Allocated = 16 Bits Stored = 16 High Bit = 15 Pixel Representation = 1 Smallest Image Pixel Value = 0 Largest Image Pixel Value = 4000 Window Center = '600' Window Width = '1600' Data Set Trailing Padding = b'\n\x00\xfe\x00\x04\x00\x01\x00\x00\x00\x00\x00\x... | .. code-block:: Python # authors : Guillaume Lemaitre # license : MIT from pydicom import examples print(__doc__) def myprint(ds, indent=0): """Go through all items in the dataset and print them with custom format Modelled after Dataset._pretty_str() """ dont_print = ["Pixel Data", "File Meta Information Version"] indent_string = " " * indent next_indent_string = " " * (indent + 1) for elem in ds: if elem.VR == "SQ": # a sequence print(indent_string, elem.name) for sequence_item in elem.value: myprint(sequence_item, indent + 1) print(next_indent_string + "---------") else: if elem.name in dont_print: print("""""") else: repr_value = repr(elem.value) if len(repr_value) > 50: repr_value = repr_value[:50] + "..." print(f"{indent_string} {elem.name} = {repr_value}") ds = examples.mr myprint(ds) .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 0.005 seconds) .. _sphx_glr_download_auto_examples_input_output_plot_printing_dataset.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_printing_dataset.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_printing_dataset.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: plot_printing_dataset.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_