recarray

I know there was already a question about this topic (cleanest way to add a field to a structured numpy array), see Adding a field to a structured numpy array but I have a question about the answer given there ... If you're using numpy 1.3, there's also numpy.lib.recfunctions.append_fields() I still have numpy 1.3, but it doesn't recognise this function, and I also didn't find anything about it in the documentation of numpy. What happened with the function? Is there another function that can do the same? As far as documentation for the recfunctions, here it is: http://pyopengl.sourceforge.net

I have a fairly simple question about how to sort an entire array/recarray by a given column. For example, given the array: import numpy as np data = np.array([[5,2], [4,1], [3,6]]) I would like to sort data by the first column to return: array([[3,6], [4,1], [5,2]]) NPE Use data[np.argsort(data[:, 0])] where the 0 is the column index on which to sort: In [27]: import numpy as np In [28]: data = np.array([[5,2], [4,1], [3,6]]) In [29]: col = 0 In [30]: data=data[np.argsort(data[:,col])] Out[30]: array([[3, 6], [4, 1], [5, 2]]) you are looking for operator.itemgetter >>> from operator import