[SciPy-user] io.read_array only works for positive numbers?

[Travis E. Oliphant]

Here's what I get:

 >>> scipy.__version__
'0.2.0_alpha_197.4144'

 >>> io.read_array("legpols2.dat")
array([[ 1.    ,  1.    ,  1.    ,  1.    ,  1.    ],
        [-1.    , -0.5   ,  0.    ,  0.5   ,  1.    ],
        [ 1.    , -0.125 , -0.5   , -0.125 ,  1.    ],
        [-1.    ,  0.4375,  0.    , -0.4375,  1.    ],
        [ 1.    , -0.2891,  0.375 , -0.2891,  1.    ]])


Fernando Perez wrote:
> Hi all,
> 
> I'm wondering if the following behavior is supposed to be normal:
> 
> In [99]: cat legpols2.dat
> 1    1.                     1.      1.                     1.
> -1   -0.49999999999999994   0.      0.49999999999999994    1.
> 1    -0.125                 -0.5    -0.125                 1.
> -1   0.43749999999999994    0.      -0.43749999999999994   1.
> 1    -0.2890625             0.375   -0.2890625             1.
> 
> In [100]: scipy.io.read_array("legpols2.dat")
> Out[100]:
> array([[ 1.       ,  1.       ,  1.       ,  1.       ,  1.       ],
>        [ 1.       ,  0.5      ,  0.       ,  0.5      ,  1.       ],
>        [ 1.       ,  0.125    ,  0.5      ,  0.125    ,  1.       ],
>        [ 1.       ,  0.4375   ,  0.       ,  0.4375   ,  1.       ],
>        [ 1.       ,  0.2890625,  0.375    ,  0.2890625,  1.       ]])
> 
> read_array seems to fit the bill for my simple needs quite nicely, but 
> I'd like to be able to use negative numbers as well as positive ones.  
> Any hints?
> 
> TIA,
> 
> f.
> 
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