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Original message
From: josef.p...@gmail.com
Date: 18/01/2014 04:16 (GMT+02:00)
To: Discussion of Numerical Python numpy-discussion@scipy.org
Subject: Re: [Numpy-discussion] using loadtxt to load a text file in to a numpy
array
It looks like both recfromtxt and loadtxt are flexible enough to
handle string/bytes en/decoding, - with a bit of work and using enough
information
dtype=[('f0', 'i4'), ('f1', 'i4'), ('f2', 'i4'), ('f3', 'U9')]
data = numpy.recfromtxt(open('Õscar_3.txt',rb), dtype=dtype,
delimiter=',',converters={3:lambda x: x.decode('utf8')})
data['f3'] == 'Õscar'
array([False, False, False, True], dtype=bool)
data
rec.array([(1, 2, 3, 'hello'), (5, 6, 7, 'Õscarscar'), (15, 2, 3, 'hello'),
(20, 2, 3, 'Õscar')],
dtype=[('f0', 'i4'), ('f1', 'i4'), ('f2', 'i4'), ('f3', 'U9')])
data = numpy.loadtxt(open('Õscar_3.txt',rb), dtype=dtype,
delimiter=',',converters={3:lambda x: x.decode('utf8')})
data
array([(1, 2, 3, 'hello'), (5, 6, 7, 'Õscarscar'), (15, 2, 3, 'hello'),
(20, 2, 3, 'Õscar')],
dtype=[('f0', 'i4'), ('f1', 'i4'), ('f2', 'i4'), ('f3', 'U9')])
Josef
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