Re: [Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Stefan van der Walt
On Sat, Nov 11, 2006 at 01:59:40PM -0800, Keith Goodman wrote: > Would it make sense to upcast instead of downcast? > > This upcasts: > > >> x = M.matrix([[1, M.nan, 3]]) > >> x > matrix([[ 1., nan, 3.]]) > > But this doesn't: > > >> x = M.matrix([[1, 2, 3]]) > >> x[0,1

Re: [Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Keith Goodman
On 11/11/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote: > On Sat, Nov 11, 2006 at 10:40:22AM -0800, Keith Goodman wrote: > > I accidentally wrote a unit test using int32 instead of float64 and > > ran into this problem: > > > > >> x = M.matrix([[1, 2, 3]]) > > >> x[0,1] = M.nan > > >> x > > mat

Re: [Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Stefan van der Walt
On Sat, Nov 11, 2006 at 06:30:06PM -0300, Lisandro Dalcin wrote: > On 11/11/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote: > > NaN (or inf) is a floating point number, so seeing a zero in integer > > representation seems correct: > > > > In [2]: int(N.nan) > > Out[2]: 0L > > > > Just to learn

Re: [Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Charles R Harris
On 11/11/06, Lisandro Dalcin <[EMAIL PROTECTED]> wrote: On 11/11/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote:> NaN (or inf) is a floating point number, so seeing a zero in integer> representation seems correct: >> In [2]: int(N.nan)> Out[2]: 0L>Just to learn myself: Why int(N.nan) should be 0

Re: [Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Lisandro Dalcin
On 11/11/06, Stefan van der Walt <[EMAIL PROTECTED]> wrote: > NaN (or inf) is a floating point number, so seeing a zero in integer > representation seems correct: > > In [2]: int(N.nan) > Out[2]: 0L > Just to learn myself: Why int(N.nan) should be 0? Is it C behavior? -- Lisandro Dalcín

Re: [Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Stefan van der Walt
On Sat, Nov 11, 2006 at 10:40:22AM -0800, Keith Goodman wrote: > I accidentally wrote a unit test using int32 instead of float64 and > ran into this problem: > > >> x = M.matrix([[1, 2, 3]]) > >> x[0,1] = M.nan > >> x > matrix([[1, 0, 3]]) <--- Got 0 instead of NaN > > But this, of course, work

[Numpy-discussion] Assign NaN, get zero

2006-11-11 Thread Keith Goodman
I accidentally wrote a unit test using int32 instead of float64 and ran into this problem: >> x = M.matrix([[1, 2, 3]]) >> x[0,1] = M.nan >> x matrix([[1, 0, 3]]) <--- Got 0 instead of NaN But this, of course, works: >> x = M.matrix([[1.0, 2.0, 3.0]]) >> x[0,1] = M.nan >> x matrix([[ 1.