Op dinsdag 25 maart 2014 15:42:13 UTC+1 schreef Dave Angel: > Jean Dubois <jeandubois...@gmail.com> Wrote in message: > > Op dinsdag 25 maart 2014 12:01:37 UTC+1 schreef Steven D'Aprano: > >> > >> py> values = [float(s) for s in data.split()] > >> py> print values > >> [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0] > >> py> array_lines = np.array(values) > >> py> array_lines = array_lines.reshape(3, 3) > >> py> print array_lines > >> [[ 1. 2. 3.] > >> [ 4. 5. 6.] > >> [ 7. 8. 9.]] > >> > > Dear Steve, > > Thanks for answering my question but unfortunately now I'm totally > > confused. > > Above I see parts from different programs which I can't > > assemble together to one working program (I really tried hard). > > Can I tell from your comment I shouldn't use numpy? > > I also don't see how to get the value an element specified by (row, > > column) from a numpy_array like "array_lines" in my original code > I don't use numpy, but I thought Steven's description was clear > enough. > Your problem was not the extraction, but the creation of the > array. Use print to prove that to yourself. > > > > All I need is a little python-example reading a file with e.g. three lines > > with three numbers per line and putting those numbers as floats in a > > 3x3-numpy_array, then selecting an element from that numpy_array using > > it's row and column-number. > If your instructor wanted you to copy examples, he would have > given you one. please Dave leave that belittling tone behind, there's no instructor whatsoever involved here. I constructed this example myself as I know very well I have to start with little pieces of code first to be able to master larger problems later. I just wanted to figure this example out first, and as I now learned from Peter's marvellous explanation there _is_ an elegant solution in Python to this kind of problem. So if you are irritated by newbie-questions in the future, just neglect them
thanks jean -- https://mail.python.org/mailman/listinfo/python-list
