On 8/2/11 1:40 PM, Jeremy Conlin wrote:
Thanks for that information. It helps greatly in understanding what is
happening. Next time I'll put my data into tuples.
I don't remember where they all are, but there are a few places in numpy
where tuples and lists are interpreted differently (fancy
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as an int and the remaining as floats. I'm currently
unsuccessful in my attempts. I've copied a simple script below that
shows what I've done and the
On Tue, Aug 2, 2011 at 9:44 AM, Jeremy Conlin jlcon...@gmail.com wrote:
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as an int and the remaining as floats. I'm currently
unsuccessful in my
On Tue, Aug 2, 2011 at 9:09 AM, Brett Olsen brett.ol...@gmail.com wrote:
On Tue, Aug 2, 2011 at 9:44 AM, Jeremy Conlin jlcon...@gmail.com wrote:
I am trying to create a numpy array from some text I'm reading from a
file. Ideally, I'd like to create a structured array with the first
element as
On 8/2/11 8:38 AM, Jeremy Conlin wrote:
Thanks, Brett. Using StringIO and numpy.loadtxt worked great. I'm
still curious why what I was doing didn't work. Everything I can see
indicates it should work.
In [11]: tfc_dtype
Out[11]: dtype([('nps', 'u8'), ('t', 'f8'), ('e', 'f8'), ('fom', 'f8')])
On 2 Aug 2011, at 19:15, Christopher Barker wrote:
In [32]: s = numpy.array(a, dtype=tfc_dtype)
---
TypeError Traceback (most recent
call last)
/Users/cbarker/ipython console in
On Tue, Aug 2, 2011 at 11:15 AM, Christopher Barker
chris.bar...@noaa.gov wrote:
On 8/2/11 8:38 AM, Jeremy Conlin wrote:
Thanks, Brett. Using StringIO and numpy.loadtxt worked great. I'm
still curious why what I was doing didn't work. Everything I can see
indicates it should work.
In [11]: