On Wed, Feb 11, 2009 at 6:27 PM, A B <[email protected]> wrote: > On Tue, Feb 10, 2009 at 9:52 PM, Brent Pedersen <[email protected]> wrote: >> On Tue, Feb 10, 2009 at 9:40 PM, A B <[email protected]> wrote: >>> Hi, >>> >>> How do I write a loadtxt command to read in the following file and >>> store each data point as the appropriate data type: >>> >>> 12|h|34.5|44.5 >>> 14552|bbb|34.5|42.5 >>> >>> Do the strings have to be read in separately from the numbers? >>> >>> Why would anyone use 'S10' instead of 'string'? >>> >>> dt = {'names': ('gender','age','weight','bal'), 'formats': ('i4', >>> 'S4','f4', 'f4')} >>> >>> a = loadtxt("sample_data.txt", dtype=dt) >>> >>> gives >>> >>> ValueError: need more than 1 value to unpack >>> >>> I can do a = loadtxt("sample_data.txt", dtype="string") but can't use >>> 'string' instead of S4 and all my data is read into strings. >>> >>> Seems like all the examples on-line use either numeric or textual >>> input, but not both. >>> >>> Thanks. >>> _______________________________________________ >>> Numpy-discussion mailing list >>> [email protected] >>> http://projects.scipy.org/mailman/listinfo/numpy-discussion >>> >> >> works for me but not sure i understand the problem, did you try >> setting the delimiter? >> >> >> import numpy as np >> from cStringIO import StringIO >> >> txt = StringIO("""\ >> 12|h|34.5|44.5 >> 14552|bbb|34.5|42.5""") >> >> dt = {'names': ('gender','age','weight','bal'), 'formats': ('i4', >> 'S4','f4', 'f4')} >> a = np.loadtxt(txt, dtype=dt, delimiter="|") >> print a.dtype > > I had tried both with and without the delimiter. In any event, it just > worked for me as well. Not sure what I was missing before. Anyway, > thank you. >
Actually, I was using two different machines and it appears that the version of numpy available on Ubuntu is seriously out of date (1.0.4). Wonder why ... Version 1.2.1 on a RedHat box worked fine. _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
