[SciPy-user] Confused about enhanced-scalar dtypes
Doug.LATORNELL at mdsinc.com
Mon Feb 27 11:53:23 CST 2006
I'm not sure how I got it into my head that the dtype argument took the
name of the type rather than the type object. The latter is certainly
obvious to me now when I go back and read the Data-Type Descriptors
section in the NumPy book.
dtype=float it shall be!
> -----Original Message-----
> From: scipy-user-bounces at scipy.net
> [mailto:scipy-user-bounces at scipy.net] On Behalf Of Travis Oliphant
> Sent: February 24, 2006 16:17
> To: SciPy Users List
> Subject: Re: [SciPy-user] Confused about enhanced-scalar dtypes
> LATORNELL, Doug wrote:
> >I built NumPy from SVN this morning and got a surprise
> concerning dtype
> >In : import numpy
> >In : numpy.__version__
> >Out: '0.9.6.2165'
> >In : a = numpy.fromfile("profiles-O0", dtype="float", sep=' ')
> >exceptions.TypeError Traceback (most
> >recent call last)
> >/ocean/dlatorne/SoG/dlatornell06/profiles/<ipython console>
> >TypeError: data type not understood
> I don't recommend using strings like "float". Just use float
> (which is a type-object).
> I don't think "float" is actually an accepted string. There
> are a few strings that are recognized and more could be
> added, but I would just use dtype=float.
> >Based on the tip in the middle of pg 19 of my copy of the
> NumPy book, I
> >expected both dtype="float" and dtype="float_" to work.
> dtype=float and dtype=numpy.float_ are similar. Note the
> absence of ""
> >I know there has been a bunch of work lately on things related to
> >dtype, but I don't recall seeing anything about breaking the
> >equivalence of the enhanced-scalar types (like float_) and the
> >corresponding standard Python types (float, in this case).
> Did I miss,
> >or misunderstand something, get unluck with the timing of my
> >this morning, or is this a bug?
> I'm surprised "float" worked before and then doesn't work
> now. But, there have been enough changes between 0.9.3 and
> 0.9.5 that it's
> possible. But, don't do it that way :-)
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