On Thu, Feb 23, 2012 at 2:08 PM, Travis Oliphant <tra...@continuum.io>wrote:
> This is actually on my short-list as well --- it just didn't make it to > the list. > > In fact, we have someone starting work on it this week. It is his first > project so it will take him a little time to get up to speed on it, but he > will contact Wes and work with him and report progress to this list. > > Integration with np.loadtxt is a high-priority. I think loadtxt is now > the 3rd or 4th "text-reading" interface I've seen in NumPy. I have no > interest in making a new one if we can avoid it. But, we do need to make > it faster with less memory overhead for simple cases like Wes describes. > > -Travis > > I have a "proof of concept" CSV reader written in C (with a Cython wrapper). I'll put it on github this weekend. Warren > > On Feb 23, 2012, at 1:53 PM, Pauli Virtanen wrote: > > > Hi, > > > > 23.02.2012 20:32, Wes McKinney kirjoitti: > > [clip] > >> To be clear: I'm going to do this eventually whether or not it > >> happens in NumPy because it's an existing problem for heavy > >> pandas users. I see no reason why the code can't emit structured > >> arrays, too, so we might as well have a common library component > >> that I can use in pandas and specialize to the DataFrame internal > >> structure. > > > > If you do this, one useful aim could be to design the code such that it > > can be used in loadtxt, at least as a fast path for common cases. I'd > > really like to avoid increasing the number of APIs for text file loading. > > > > -- > > Pauli Virtanen > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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