我正在尝试使用HyperSpy库将“ .unf”文件加载到Jupyter环境中,但是出现此错误。
import hyperspy.api as hs
data = hs.load("/path/to/file/PRC.unf")
这是错误:
ValueError Traceback (most recent call last)
<ipython-input-7-b0117f505d01> in <module>
----> 1 data = hs.load("/home/vahid/PythonProjects/UNFfiles/PRC.unf")
~/PythonProjects/UNFfiles/venv/lib/python3.7/site-packages/hyperspy/io.py in load(filenames, signal_type, stack, stack_axis, new_axis_name, lazy, convert_units, **kwds)
279 objects = [load_single_file(filename, lazy=lazy,
280 **kwds)
--> 281 for filename in filenames]
282
283 if len(objects) == 1:
~/PythonProjects/UNFfiles/venv/lib/python3.7/site-packages/hyperspy/io.py in <listcomp>(.0)
279 objects = [load_single_file(filename, lazy=lazy,
280 **kwds)
--> 281 for filename in filenames]
282
283 if len(objects) == 1:
~/PythonProjects/UNFfiles/venv/lib/python3.7/site-packages/hyperspy/io.py in load_single_file(filename, **kwds)
316 else:
317 reader = io_plugins[i]
--> 318 return load_with_reader(filename=filename, reader=reader, **kwds)
319
320
~/PythonProjects/UNFfiles/venv/lib/python3.7/site-packages/hyperspy/io.py in load_with_reader(filename, reader, signal_type, convert_units, **kwds)
323 lazy = kwds.get('lazy', False)
324 file_data_list = reader.file_reader(filename,
--> 325 **kwds)
326 objects = []
327
~/PythonProjects/UNFfiles/venv/lib/python3.7/site-packages/hyperspy/io_plugins/semper_unf.py in file_reader(filename, **kwds)
703 def file_reader(filename, **kwds):
704 lazy = kwds.get('lazy', False)
--> 705 semper = SemperFormat.load_from_unf(filename, lazy=lazy)
706 semper.log_info()
707 return [semper.to_signal(lazy=lazy)._to_dictionary()]
~/PythonProjects/UNFfiles/venv/lib/python3.7/site-packages/hyperspy/io_plugins/semper_unf.py in load_from_unf(cls, filename, lazy)
386 :rec_length //
387 2],
--> 388 count=1)
389 metadata.update(sarray2dict(header))
390 assert np.frombuffer(f.read(4), dtype=np.int32)[0] == rec_length, \
**ValueError: field 'IFORM' occurs more than once**
我不确定该错误是什么。显然,“ IFORM”是这种类型的数据结构中的某种字典键。如果有人可以帮助我解决这个问题,我将不胜感激。