Hi, I'm creating (actually calculating) a set of very large 1-d arrays (vectors), which I would like to assemble into a record array so I can access the data row-wise. Unfortunately it seems that all data of my original 1-d arrays are getting copied in memory during that process. Is there a way to get around that?
Basically what I do is: arr1 = numpy.array([1, 4, 5], dtype=int) arr2 = numpy.array([5.5, 6.6, 9.9], dtype=float) recarray = numpy.core.rec.fromarrays([arr1, arr2], names=['col1', 'col2']) When I now make a change in recarray like recarray.col1[0] = 5000 I cannot see the change in arr1. (So that's why I assume that the data is copied). Also in the numy book it tells that would be copied. Thanks, Ralph _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
