(Sorry about that, I pressed "Reply" instead of "Reply all". Not my day for emails...)
On Dec 1, 2008, at 1:54 PM, John Hunter wrote:
It looks like I am doing something wrong -- trying to parse a CSV file with dates formatted like '2008-10-14', with::
import datetime, sys import dateutil.parser StringConverter.upgrade_mapper(dateutil.parser.parse, default=datetime.date(1900,1,1)) r = loadtxt(sys.argv, delimiter=',', names=True)
John, The problem you have is that the default dtype is 'float' (for backwards compatibility w/ the original np.loadtxt). What you want is to automatically change the dtype according to the content of your file: you should use dtype=None
r = loadtxt(sys.argv, delimiter=',', names=True, dtype=None)
As you'll want a recarray, we could make a np.records.loadtxt function where dtype=None would be the default...