On 05/31/2011 10:18 AM, Pierre GM wrote: > On May 31, 2011, at 4:53 PM, Derek Homeier wrote: > >> Hi Chris, >> >> On 31 May 2011, at 13:56, cgraves wrote: >> >>> I've downloaded the latest numpy (1.6.0) and loadtxt has the ndmin >>> option, >>> however neither genfromtxt nor recfromtxt, which use loadtxt, have it. >>> Should they have inherited the option? Who can make it happen? >> you are mistaken, genfromtxt is not using loadtxt (and could not >> possibly, since it has the more complex parser to handle missing >> data); thus ndmin could not be inherited automatically. >> It certainly would make sense to provide the same functionality for >> genfromtxt (which should then be inherited by [nd,ma,rec]fromtxt), so >> I'd go ahead and file a feature (enhancement) request. I can't promise >> I can take care of it myself, as I am less familiar with genfromtxt, >> but I'd certainly have a look at it. > Oh, that shouldn't be too difficult: 'ndmin' tells whether the array must be > squeezed before being returned, right ? You can add some test at the very end > of genfromtxt to check what to do with the output (whether to squeeze it or > not, whether to transpose it or not)... If you don't mind doing it, I'd be > quite grateful (I don't have time to work on numpy these days, much to my > regret). Don't forget to change the user manual as well... > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion (Different function so different ticket.)
Sure you can change the end of the code but that may hide various problem. Unlike loadtxt, genfromtxt has a lot of flexibility especially handling missing values and using converter functions. So I think that some examples must be provided that can not be handled by providing a suitable converter or that require multiple assumptions about input file (such as having more than one delimiter). Bruce _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
