[Numpy-discussion] arange and floating point arguments

[Sebastian Haase]

On 9/14/07, Charles R Harris <charlesr.harris at gmail.com> wrote:
>
> Since none of the numbers are  exactly represented in IEEE floating point,
> this sort of oddity is expected.  If you look at the exact values, (.4 +
> .2)/.1 > 6 and .6/.1 < 6 .

Just for my own benefit (and the past time) here are the actual
numbers I get in my PyShell:
>>> 0.6 == (0.4+0.2)
False
>>> `.6`
'0.59999999999999998'
>>> `.4`
'0.40000000000000002'
>>> `.2`
'0.20000000000000001'
>>> `.2+.4`
'0.60000000000000009'

To my naive eye this is just "fantastic" ... ;-)

-Sebastian Haase

PS:you might even notice that "1+2 = 9" ;-)