thank you very much, works quit nice and faster in comparison to the script i
wrote and used before ,
im not that much used to lambda forms but it seems quit usefull in
situations like this
Olivier Delalleau-2 wrote:
>
> 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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>>
>
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