本文整理汇总了Python中pydicom.dataset.Dataset.save_as方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.save_as方法的具体用法？Python Dataset.save_as怎么用？Python Dataset.save_as使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pydicom.dataset.Dataset的用法示例。
在下文中一共展示了Dataset.save_as方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_save_as
# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import save_as [as 别名]
def test_save_as(self):
"""Test Dataset.save_as"""
fp = DicomBytesIO()
ds = Dataset()
ds.PatientName = 'CITIZEN'
# Raise AttributeError if is_implicit_VR or is_little_endian missing
self.assertRaises(
AttributeError,
ds.save_as,
fp,
write_like_original=False)
ds.is_implicit_VR = True
self.assertRaises(
AttributeError,
ds.save_as,
fp,
write_like_original=False)
ds.is_little_endian = True
del ds.is_implicit_VR
self.assertRaises(
AttributeError,
ds.save_as,
fp,
write_like_original=False)
ds.is_implicit_VR = True
ds.file_meta = Dataset()
ds.file_meta.MediaStorageSOPClassUID = '1.1'
ds.file_meta.MediaStorageSOPInstanceUID = '1.2'
ds.file_meta.TransferSyntaxUID = '1.3'
ds.file_meta.ImplementationClassUID = '1.4'
ds.save_as(fp, write_like_original=False)示例2: _create_temporary_dataset
# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import save_as [as 别名]
def _create_temporary_dataset(shape=(100, 1024, 1024, 3), bit_depth=16):
"""Function to create a temporary dataset for use in testing.
Parameters
----------
shape : 4-tuple
The (frames, rows, columns, channels) of the test dataset.
bit_depth : int
The BitsAllocated value to use for the dataset, one of 8, 16, 32, 64.
Returns
-------
tempfile.TemporaryFile
A created DICOM File Format conformant dataset.
"""
ds = Dataset()
ds.is_little_endian = True
ds.is_implicit_VR = False
ds.file_meta = Dataset()
ds.file_meta.TransferSyntaxUID = ExplicitVRLittleEndian
ds.SOPClassUID = '1.2.3.4'
ds.SOPInstanceUID = generate_uid()
ds.BitsAllocated = bit_depth
ds.PixelRepresentation = 0
ds.PlanarConfiguration = 0
ds.Rows = shape[1]
ds.Columns = shape[2]
ds.NumberOfFrames = shape[0]
ds.SamplesPerPixel = shape[3]
if shape[3] == 1:
ds.PhotometricInterpretation = 'MONOCHROME2'
elif shape[3] == 3:
ds.PhotometricInterpretation = 'RGB'
arr = np.zeros(shape, dtype='uint{}'.format(bit_depth))
ds.PixelData = arr.tobytes()
if len(ds.PixelData) % 2:
ds.PixelData += b'\x00'
tfile = TemporaryFile(mode='w+b')
ds.save_as(tfile, write_like_original=False)
tfile.seek(0)
return tfile