On Mon, Aug 22, 2011 at 4:07 PM, Chris Withers wrote:
> On 22/08/2011 00:18, Mark Dickinson wrote:
>>
>> On Sun, Aug 21, 2011 at 1:08 AM, Robert Kern
>> wrote:
>>>
>>> You may want to try the cdecimal package:
>>>
>>> http://pypi.py
On Mon, Aug 22, 2011 at 1:30 PM, Stefan Krah wrote:
> Numpy arrays and memoryview currently have different representations
> for shape and strides if ndim = 0:
>
from numpy import *
x = array(9, int32)
x.ndim
> 0
x.shape
> ()
x.strides
> ()
m = memoryview(x)
m.nd
On Sun, Aug 21, 2011 at 1:08 AM, Robert Kern wrote:
> You may want to try the cdecimal package:
>
> http://pypi.python.org/pypi/cdecimal/
I'll second this suggestion. cdecimal is an extraordinarily carefully
written and well-tested (almost) drop-in replacement for the decimal
module, and well w
In NumPy 1.6.0, I get the following behaviour:
Python 2.7.2 |EPD 7.1-1 (32-bit)| (default, Jul 3 2011, 15:40:35)
[GCC 4.0.1 (Apple Inc. build 5493)] on darwin
Type "packages", "demo" or "enthought" for more information.
>>> import numpy
>>> numpy.nanmin(numpy.ma.masked_array([1,2,3,4]))
Tracebac
On Mon, Jun 6, 2011 at 11:12 PM, Mark Wiebe wrote:
> On Mon, Jun 6, 2011 at 3:47 PM, Mark Dickinson
>> On Mon, Jun 6, 2011 at 9:24 PM, Mark Wiebe wrote:
>> > and an ambiguity-resolution in the few cases that need it,
>>
>> Where does the ambiguity come from? (
On Mon, Jun 6, 2011 at 9:24 PM, Mark Wiebe wrote:
Sorry for being dense, but:
> C. Add a metadata item which chooses between "UTC" and "TAI". For seconds
> and finer, converting between UTC and TAI units is safe, and for minutes and
> coarser, is unsafe. UTC involves leap-seconds
This bit I und
On Thu, Jun 2, 2011 at 5:42 PM, Mark Wiebe wrote:
> Leap years are easy compared with leap seconds. Leap seconds involve a
> hardcoded table of particular leap-seconds that are added or subtracted, and
> are specified roughly 6 months in advance of when they happen by
> the International Earth Rot
On Sat, May 21, 2011 at 9:25 PM, Mark Wiebe wrote:
> On Thu, May 19, 2011 at 6:59 AM, Pauli Virtanen wrote:
>>
>> Thu, 19 May 2011 12:36:22 +0100, Mark Dickinson wrote:
>> [clip]
>> >>>> from numpy import array
>> >>>> x = arr
With numpy 1.5.1:
Python 2.7.1 |EPD 7.0-2 (32-bit)| (r271:86832, Dec 3 2010, 15:41:32)
[GCC 4.0.1 (Apple Inc. build 5488)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from numpy import array
>>> x = array((1.2, 2.3), dtype=[('field1', float), ('field2', fl
