Dear Numpy fellows, I have actually a double question, which only aims to answer a single one : how to get the following line being processed more efficiently :
array = numpy.logical_and(numpy.logical_and(aBlueChannel < 1.0, aNirChannel > (aBlueChannel * 1.0)), aNirChannel < (aBlueChannel * 1.8)) One possibility would have been to have the logical_and being able to handle more than two arrays Another one would have been to be able to make a "double comparison" or a "between", like following one : array = numpy.logical_and((aBlueChannel < 1.0), (1.0 < aNirChannel/aBlueChannel < 1.8)) Is there any way to get the things work this way ? Would it else be a possible improvement for 1.7 or a later version ? Best Regards, Matthieu Rigal RapidEye AG Molkenmarkt 30 14776 Brandenburg an der Havel Germany Follow us on Twitter! www.twitter.com/rapideye_ag Head Office/Sitz der Gesellschaft: Brandenburg an der Havel Management Board/Vorstand: Ryan Johnson Chairman of Supervisory Board/Vorsitzender des Aufsichtsrates: Robert Johnson Commercial Register/Handelsregister Potsdam HRB 24742 P Tax Number/Steuernummer: 048/100/00053 VAT-Ident-Number/Ust.-ID: DE 199331235 DIN EN ISO 9001 certified _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
