On 3/5/07, Christopher Barker <[EMAIL PROTECTED]> wrote:
> empty() works too, but why would you want an empty array?
I wanted to use rec.fromrecords so that the interface is consistent.
For example, suppose I have a list comprehension that generates the
variable "recs". Sometimes the list compreh
Christopher Barker wrote:
> empty() works too, but why would you want an empty array?
Consistently handling edge-case inputs to library functions.
--
Robert Kern
"I have come to believe that the whole world is an enigma, a harmless enigma
that is made terrible by our own mad attempt to interpr
empty() works too, but why would you want an empty array?
>>> import numpy as N
>>> dt = [("name", "S30"), ("age", "i2"), ("weight", "f4")]
>>> a = N.empty((0,), dtype=dt)
>>> a
array([],
dtype=[('name', '|S30'), ('age', '>i2'), ('weight', '>f4')])
-Chris
Sameer DCosta wrote:
> Hi,
>
Hi,
I am trying to create record arrays using the numpy.rec.fromrecords.
This function works just fine, however I am having a little trouble
using it to create empty record arrays. If the array I start off with
is empty and I have provided a dtype (or the names and the formats),
then I expect rec.