(just illustrating some porting fun)
I was struggling with another python 3.2 bug in scikits.statsmodels
(with grunfeld data)
with numpy 1.5.1, I'm reading the data with
data = recfromtxt(open(filepath + '/grunfeld.csv', 'rb'), delimiter=",",
names=True, dtype="f8,f8,f8,a17,f8")
>>> grun_exog['firm'][:10]
array([b'General Motors', b'General Motors', b'General Motors',
b'General Motors', b'General Motors', b'General Motors',
b'General Motors', b'General Motors', b'General Motors',
b'General Motors'],
dtype='|S17')
using predefined firms defined as string
>>> firms = ['General Motors', 'Chrysler', 'General Electric', 'Westinghouse',
'US Steel']
>>> i
'General Motors'
comparing bytes and string produces False not an element wise comparison
>>> grun_exog['firm'] == i
False
>>> grun_exog['firm'][0] == i
False
>>> grun_exog['firm'][0] , i
(b'General Motors', 'General Motors')
numpy has a convenient conversion function
>>> from numpy.compat import asbytes
>>> ( grun_exog['firm'] == asbytes(i) )[:10]
array([ True, True, True, True, True, True, True, True, True,
True], dtype=bool)
Josef
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