Hi, I just came across somethin I never noticed before. I cannot say whether this is due to an update of numpy but it is possible - I am running 1.1.1 on __german__ windows. Here is the observation: a = N.linspace(0,1,5) a array([ 0. , 0.25, 0.5 , 0.75, 1. ]) a.astype(float) array([ 0. , 0.25, 0.5 , 0.75, 1. ]) a[0].astype(float) 0.0 a[1].astype(float) 0,25 As you see in the last line, suddenly numpy picks up the german locale setting and converts the floating point into a comma. It does not affect the '0.0' in the line above and I believe to have seen some other numbers ending with '.0' where the point has not been replaced. I guess this is a bug. In fact I do not like the idea that repr() of a numpy float honours the locale settings. Reagrds, Christian
On Sun, Aug 31, 2008 at 1:14 PM, Christian K. <ckkart@hoc.net> wrote:
Hi,
I just came across somethin I never noticed before. I cannot say whether this is due to an update of numpy but it is possible - I am running 1.1.1 on __german__ windows. Here is the observation:
a = N.linspace(0,1,5) a array([ 0. , 0.25, 0.5 , 0.75, 1. ]) a.astype(float) array([ 0. , 0.25, 0.5 , 0.75, 1. ]) a[0].astype(float) 0.0 a[1].astype(float) 0,25
As you see in the last line, suddenly numpy picks up the german locale setting and converts the floating point into a comma. It does not affect the '0.0' in the line above and I believe to have seen some other numbers ending with '.0' where the point has not been replaced. I guess this is a bug. In fact I do not like the idea that repr() of a numpy float honours the locale settings.
I'd call it a bug, file a ticket. And we do need to have a policy on locales. Chuck
Charles R Harris schrieb:
On Sun, Aug 31, 2008 at 1:14 PM, Christian K. <ckkart@hoc.net <mailto:ckkart@hoc.net>> wrote:
Hi,
I just came across somethin I never noticed before. I cannot say whether this is due to an update of numpy but it is possible - I am running 1.1.1 on __german__ windows. Here is the observation:
a = N.linspace(0,1,5) a array([ 0. , 0.25, 0.5 , 0.75, 1. ]) a.astype(float) array([ 0. , 0.25, 0.5 , 0.75, 1. ]) a[0].astype(float) 0.0 a[1].astype(float) 0,25
As you see in the last line, suddenly numpy picks up the german locale setting and converts the floating point into a comma. It does not affect the '0.0' in the line above and I believe to have seen some other numbers ending with '.0' where the point has not been replaced. I guess this is a bug. In fact I do not like the idea that repr() of a numpy float honours the locale settings.
I'd call it a bug, file a ticket. And we do need to have a policy on locales.
Done. http://scipy.org/scipy/numpy/ticket/902 Christian
participants (2)
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Charles R Harris -
Christian K.