From: Tom D. <tom...@al...> - 2006-06-02 00:50:42
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This is great! Many thanks Travis. I can't wait for the next release! --Tom On 6/1/06, Travis Oliphant <oli...@ie...> wrote: > Tom Denniston wrote: > > This function is really useful but it seems to only take tuples not > > ndarrays. This seems kinda strange. Does one have to convert the > > ndarray into a tuple to use it? This seems extremely inefficient. Is > > there an efficient way to argsort a 2d array based upon multiple > > columns if lexsort is not the correct way to do this? The only way I > > have found to do this is to construct a list of tuples and sort them > > using python's list sort. This is inefficient and convoluted so I was > > hoping lexsort would provide a simple solution. > > > > I've just changed lexsort to accept any sequence object as keys. This > means that it can now be used to sort a 2d array (of the same data-type) > based on multiple rows. The sorting will be so that the last row is > sorted with any repeats sorted by the second-to-last row and remaining > repeats sorted by the third-to-last row and so forth... > > The return value is an array of indices. For the 2d example you can use > > ind = lexsort(a) > sorted = a[:,ind] # or a.take(ind,axis=-1) > > > Example: > > >>> a = array([[1,3,2,2,3,3],[4,5,4,6,4,3]]) > >>> ind = lexsort(a) > >>> sorted = a.take(ind,axis=-1) > >>> sorted > array([[3, 1, 2, 3, 3, 2], > [3, 4, 4, 4, 5, 6]]) > >>> a > array([[1, 3, 2, 2, 3, 3], > [4, 5, 4, 6, 4, 3]]) > > > > -Travis > > > |