Path: csiph.com!v102.xanadu-bbs.net!xanadu-bbs.net!us.feeder.erje.net!feeder.erje.net!eu.feeder.erje.net!newsfeed.freenet.ag!news2.euro.net!newsgate.cistron.nl!newsgate.news.xs4all.nl!post.news.xs4all.nl!not-for-mail Return-Path: X-Original-To: python-list@python.org Delivered-To: python-list@mail.python.org X-Spam-Status: OK 0.003 X-Spam-Evidence: '*H*': 0.99; '*S*': 0.00; 'received:80.91': 0.09; 'received:80.91.229': 0.09; 'received:gmane.org': 0.09; 'received:list': 0.09; '2],': 0.16; '3],': 0.16; '[2,': 0.16; 'numpy': 0.16; 'received:80.91.229.3': 0.16; 'received:dip.t-dialin.net': 0.16; 'received:plane.gmane.org': 0.16; 'received:t-dialin.net': 0.16; 'subject:array': 0.16; 'wrote:': 0.17; '>>>': 0.18; 'header:User-Agent:1': 0.26; 'header:X-Complaints-To:1': 0.28; 'to:addr:python-list': 0.33; 'there': 0.35; 'received:org': 0.36; 'does': 0.37; 'subject:: ': 0.38; 'mean': 0.38; 'to:addr:python.org': 0.39; 'header:Received:5': 0.40; 'skip:a 30': 0.60 X-Injected-Via-Gmane: http://gmane.org/ To: python-list@python.org From: Peter Otten <__peter__@web.de> Subject: Re: numpy array operation Date: Tue, 29 Jan 2013 10:28:02 +0100 Organization: None References: Mime-Version: 1.0 Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: 7Bit X-Gmane-NNTP-Posting-Host: p50849864.dip.t-dialin.net User-Agent: KNode/4.7.3 X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.15 Precedence: list List-Id: General discussion list for the Python programming language List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Newsgroups: comp.lang.python Message-ID: Lines: 29 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1359451658 news.xs4all.nl 6921 [2001:888:2000:d::a6]:33013 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:37856 C. Ng wrote: > Is there a numpy operation that does the following to the array? > > 1 2 ==> 4 3 > 3 4 2 1 How about >>> a array([[1, 2], [3, 4]]) >>> a[::-1].transpose()[::-1].transpose() array([[4, 3], [2, 1]]) Or did you mean >>> a.reshape((4,))[::-1].reshape((2,2)) array([[4, 3], [2, 1]]) Or even >>> -a + 5 array([[4, 3], [2, 1]])