I think the easiest is to use an intermediate string. If your file is test.txt,

In [22]: a = file('test.txt').read().replace(',','.')
In [23]: import StringIO
In [24]: b=genfromtxt(StringIO.StringIO(a))
In [25]: b
Out[25]:
array([[  0.00000000e+00,   1.22100000e-03,   1.22100000e-03,
         0.00000000e+00,   1.27807600e+00,   1.60102539e+02],
      [  4.00000000e-07,   0.00000000e+00,   0.00000000e+00,
         2.44100000e-03,   1.27929700e+00,   1.60000000e+02],
      [  8.00000000e-07,  -1.22100000e-03,   0.00000000e+00,
         1.22100000e-03,   1.27929700e+00,   1.59897461e+02],
      [  1.20000000e-06,   0.00000000e+00,   0.00000000e+00,
         1.22100000e-03,   1.27929700e+00,   1.60000000e+02],
      [  1.60000000e-06,  -1.22100000e-03,   0.00000000e+00,
         3.66200000e-03,   1.27807600e+00,   1.59897461e+02],
      [  2.00000000e-06,   0.00000000e+00,  -1.22100000e-03,
         3.66200000e-03,   1.27929700e+00,   1.60000000e+02]])

On Fri, Jun 3, 2011 at 11:30 PM, jgrub <jonas.rueb...@web.de> wrote:
>
> Hello, im actually try to read in  data with genfromtxt(),
> i want to read in numbers which are stored in  a textfile like this:
>
> 0,000000        0,001221        0,001221        0,000000        1,278076      
>   160,102539
>
> 4,000000E-7     0,000000        0,000000        0,002441        1,279297      
>   160,000000
>
> 8,000000E-7     -0,001221       0,000000        0,001221        1,279297      
>   159,897461
>
> 1,200000E-6     0,000000        0,000000        0,001221        1,279297      
>   160,000000
>
> 1,600000E-6     -0,001221       0,000000        0,003662        1,278076      
>   159,897461
>
> 2,000000E-6     0,000000        -0,001221       0,003662        1,279297      
>   160,000000
>
> my problem is that they are seperated with a comma so when i try to read
> them
> i just get a numpy array with NaN's.  is there a short way to replace the
> "," with "."  ?
>
> --
> View this message in context: 
> http://old.nabble.com/numpy-input-with-genfromttxt%28%29-tp31757790p31757790.html
> Sent from the Numpy-discussion mailing list archive at Nabble.com.
>
> _______________________________________________
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