Here's an ugly one-liner:
numpy.genfromtxt('data.txt', converters=dict([k, lambda x:
float(x.replace(',', '.'))] for k in
range(len(open('data.txt').readline().strip().split()))))
-=- Olivier
2011/6/3 jgrub <[email protected]>
>
> 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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