Scott MacDonald wrote:
> Yes it should, sorry I must have copied and pasted wrong.
>
> I did some more research and found this bug report:
>
> http://projects.scipy.org/numpy/ticket/1163
>
> I guess this is still open? I am using numpy 1.4.1
>
>
According to that ticket, it is doing int(float(x))
Yes it should, sorry I must have copied and pasted wrong.
I did some more research and found this bug report:
http://projects.scipy.org/numpy/ticket/1163
I guess this is still open? I am using numpy 1.4.1
On Wed, Aug 18, 2010 at 2:42 PM, Friedrich Romstedt <
friedrichromst...@gmail.com> wrot
2010/8/18 Scott MacDonald :
> In [42]: c = StringIO("5399354557888517120")
Well, should't it be StringIO("5399354557888517312")? Maybe I'm missing sth.
Friedrich
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Thanks Warren, that does solve the problem. I am still confused however by
this:
In [42]: c = StringIO("5399354557888517120")
In [43]: np.loadtxt(c, dtype=np.uint64)
Out[43]: array(5399354557888517120L, dtype=uint64)
Does the above seem contradictory to you?
Thanks,
Scott
On Tue, Aug 17, 2010
Scott MacDonald wrote:
> Hi,
>
> I have a text file called 'blah' that contains only the following line:
>
> 5399354557888517312,5399354557888517312
>
> I want to load these into a numpy array as unit64's. The following
> script demonstrates my problem:
>
> import numpy as np
>
> with open('blah'
Hi,
I have a text file called 'blah' that contains only the following line:
5399354557888517312,5399354557888517312
I want to load these into a numpy array as unit64's. The following script
demonstrates my problem:
import numpy as np
with open('blah', 'r') as f:
x = np.loadtxt(f, delimite
