Matthew Brett writes:
> Hi,
>
> Can anyone think of a good way to set a float128 value to an
> arbitrarily large number?
>
> As in
>
> v = int_to_float128(some_value)
>
> ?
>
> I'm trying things like
>
> v = np.float128(2**64+2)
>
> but, because (in other threads) the float128 seems to be going t
"Alexander Michael" <[EMAIL PROTECTED]> writes:
> How can I do something like the following?
>
> a = empty((5,7), dtype=<4 element array of floats>)
>
> c = a[:,-1] # last column of 4 element arrays
>
> a[0,0] = 2.0
> print a[0,0]
> [2. 2. 2. 2.]
>
> a[1,0] = 3.0
> a[0,1] = a[0,0] * a[1,0]
>
> pri
Robert Kern <[EMAIL PROTECTED]> writes:
> Berthold Höllmann wrote:
>
>> My question is, is "kind='merge'" sorting garanteed to be conservative?
>
> Yes, such a sort is called "stable" (at least in US computer science) and is
> documente
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99])
My question is, is "kind='merge'" sorting garanteed to be conservative?
Kind regards
Berthold Höllmann
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