Hi,
As far as I can tell, the new Numpy 1.0.2 broke scipy.io.loadmat.
Here's what I get when I try to open a file with using loadmat with
numpy 1.0.2 (on gentoo AMD64):
In [2]: loadmat('tep_iqdata.mat')
---------------------------------------------------------------------------
exceptions.AttributeError Traceback (most
recent call last)
/usr/lib64/python2.4/site-packages/scipy/io/mio.py in loadmat(file_name,
mdict, appendmat, basename, **kwargs)
94 '''
95 MR = mat_reader_factory(file_name, appendmat, **kwargs)
---> 96 matfile_dict = MR.get_variables()
97 if mdict is not None:
98 mdict.update(matfile_dict)
/usr/lib64/python2.4/site-packages/scipy/io/miobase.py in
get_variables(self, variable_names)
267 variable_names = [variable_names]
268 self.mat_stream.seek(0)
--> 269 mdict = self.file_header()
270 mdict['__globals__'] = []
271 while not self.end_of_stream():
/usr/lib64/python2.4/site-packages/scipy/io/mio5.py in file_header(self)
508 hdict = {}
509 hdr = self.read_dtype(self.dtypes['file_header'])
--> 510 hdict['__header__'] = hdr['description'].strip(' \t\n\000')
511 v_major = hdr['version'] >> 8
512 v_minor = hdr['version'] & 0xFF
AttributeError: 'numpy.ndarray' object has no attribute 'strip'
Reverting to numpy 1.0.1 works fine for the same code. So the question
is, does scipy need an update, or did something unintended creep into
Numpy 1.0.2? (Hence the cross-post)
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma
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