[Numpy-discussion] np.loadtxt : yet a new implementation...
Christopher Barker
Chris.Barker at noaa.gov
Wed Dec 3 13:14:02 EST 2008
Pierre GM wrote:
> Oh, don;t worry, nothing too fancy: give me a couple lines of input
> data and a line with what you expect.
I just went and looked at the existing tests, and you're right, it's
very easy -- my first foray into the new nose tests -- very nice!
>> specify, say ',' as the delimiter, it won't use '\n', only a comma,
>> so
>> there is no way to quickly read a whole bunch of comma delimited
>> data like:
>>
>> 1,2,3,4
>> 5,6,7,8
>> ....
>>
>> so I'd like to be able to say to use either ',' or '\n' as the
>> delimiter.
>
> I'm not quite sure I follow you.
> Do you want to delimiters, one for the field of a record (','), one
> for the records ("\n") ?
well, in the case of fromfile(), it doesn't "do" records -- it will only
give you a 1-d array, so I want it all as a flat array, and you can
re-size it yourself later. Clearly this is more work (and requires more
knowledge of your data) than using loadtxt, but sometimes I really want
FAST data reading of simple formats.
However, this isn't fromfile() we are talking about now, it's loadtxt()...
>> So how likely is it that someone would have:
>>
>> 1 2 3, 4, 5
>> 6 7 8, 8, 9
>>
>> and want to read that into a single 2-d array?
>
> With the current behaviour, you gonna have
> [("1 2 3", 4, 5), ("6 7 8", 8, 9)] if you use "," as a delimiter,
> [(1,2,"3,","4,",5),(6,7,"8,","8,",9)] if you use " " as a delimiter.
right.
> Mixing delimiter is doable, but I don't think it's that a good idea.
I can't come up with a use case at this point, so..
> I'm in favor of sticking to one and only field delimiter, and the
> default line spearator for record delimiter. In other terms, not
> changing anything.
I agree -- sorry for the noise!
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response Division
NOAA/NOS/OR&R (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
Chris.Barker at noaa.gov
More information about the NumPy-Discussion
mailing list