Re: [Numpy-discussion] genloadtxt: dtype=None and unpack=True
On Wed, Feb 11, 2009 at 10:47 PM, Pierre GM pgmdevl...@gmail.com wrote: On Feb 11, 2009, at 11:38 PM, Ryan May wrote: Pierre, I noticed that using dtype=None with a heterogeneous set of data, trying to use unpack=True to get the columns into separate arrays (instead of a structured array) doesn't work. I've attached a patch that, in the case of dtype=None, unpacks the fields in the final array into a list of separate arrays. Does this seem like a good idea to you? Nope, as it breaks consistency: depending on some input parameters, you either get an array or a list. I think it's better to leave it as it is, maybe adding an extra line in the doc precising that unpack=True doesn't do anything for structured arrays. Ah, I hadn't thought of that. I was only thinking in terms of the behavior of unpacking on return, not in the actual returned object. You're right, it's a bad idea. Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
[Numpy-discussion] genloadtxt: dtype=None and unpack=True
Pierre, I noticed that using dtype=None with a heterogeneous set of data, trying to use unpack=True to get the columns into separate arrays (instead of a structured array) doesn't work. I've attached a patch that, in the case of dtype=None, unpacks the fields in the final array into a list of separate arrays. Does this seem like a good idea to you? Here's a test case: from cStringIO import StringIO s = '2,1950-02-27,35.55\n2,1951-02-19,35.27\n' a,b,c = np.genfromtxt(StringIO(s), delimiter=',', unpack=True, missing=' ', dtype=None) Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma genloadtxt_unpack_fields.diff Description: Binary data ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] genloadtxt: dtype=None and unpack=True
On Feb 11, 2009, at 11:38 PM, Ryan May wrote: Pierre, I noticed that using dtype=None with a heterogeneous set of data, trying to use unpack=True to get the columns into separate arrays (instead of a structured array) doesn't work. I've attached a patch that, in the case of dtype=None, unpacks the fields in the final array into a list of separate arrays. Does this seem like a good idea to you? Nope, as it breaks consistency: depending on some input parameters, you either get an array or a list. I think it's better to leave it as it is, maybe adding an extra line in the doc precising that unpack=True doesn't do anything for structured arrays. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
