Path: csiph.com!usenet.pasdenom.info!news.redatomik.org!newsfeed.xs4all.nl!newsfeed4.news.xs4all.nl!xs4all!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 0.024 X-Spam-Evidence: '*H*': 0.95; '*S*': 0.00; 'python.': 0.02; 'tutorial': 0.03; 'beginner': 0.05; 'duplicate': 0.07; 'problem:': 0.07; 'rows': 0.09; 'rows,': 0.09; '72k': 0.16; 'before.': 0.16; 'columns': 0.16; 'csv': 0.16; 'mylist': 0.16; 'written': 0.21; 'help.': 0.21; 'header:User-Agent:1': 0.23; "i've": 0.25; 'compare': 0.26; 'point': 0.28; 'external': 0.29; 'said,': 0.30; "i'm": 0.30; 'easier': 0.31; 'file': 0.32; 'there.': 0.32; 'this.': 0.32; 'run': 0.32; 'worked': 0.33; 'could': 0.34; 'hundreds': 0.35; 'add': 0.35; 'really': 0.36; 'in.': 0.36; 'so,': 0.37; 'being': 0.38; 'thank': 0.38; 'to:addr:python-list': 0.38; 'short': 0.38; 'sure': 0.39; 'to:addr:python.org': 0.39; 'enough': 0.39; 'how': 0.40; 'even': 0.60; 'remove': 0.60; 'received:67.195': 0.60; 'staff': 0.61; 'simple': 0.61; 'you.': 0.62; 'accounts': 0.64; 'great': 0.65; 'life': 0.66; 'here': 0.66; 'dont': 0.67; 'received:gq1.yahoo.com': 0.68; 'received:mail.gq1.yahoo.com': 0.68; 'received:bullet.mail.gq1.yahoo.com': 0.84; 'hundred': 0.95 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=pacbell.net; s=s2048; t=1431559470; bh=YEL8h20ZnWnbJbnrp1CfkUf/vBajAhc9XIzDyEvZPZU=; h=Date:From:To:Subject:From:Subject; b=IFIEPdMniZvOSxQZb9Um51L67Zm3bXw3eSkPCAKlSLGsr9jV0fVsCX6x0t6Jrs7VF73twGMZbWYw82Q9Q+HjJd0XMqn8l3VQEtoCehEo4LUWod1xd4x3aM24ybd7lpjklaBeii4foQ0HsMsZnzNC4mHLDRm7mz3EAGbKHtMeSXVUStgZXV92q4A3jNUpzJrpl0ygEWFPxe4g13tElmtd3+XLRKR5QeT4OunhV6FoEOLkegVfD++ABe1EoADwR0xhc9PGeTCldQEmL03uSGf8r5Ll8bvewME0BiacLUoMozHC8sEHa0Hj7L3ahD9ew0ffrYva8vjq9Jk4dD3vp4FNtA== X-Yahoo-Newman-Id: 672963.15212.bm@smtp118.sbc.mail.gq1.yahoo.com X-Yahoo-Newman-Property: ymail-3 X-YMail-OSG: hd2x7fAVM1ngYzWuoFyH4WMXfdFyBeul3dD3l48OUzT9b9t f7BlKnwxpPCF9MULSLdZyBBaWfJ5DyBALI2OiQyHRVphKffQRmcdVm5GS940 3G5V5ww8zcJv8zLpQwvCdzU_1v2qjjsXLS4ZbSWzNduFiOtHJQ0L3FO0l0NC U9KCf7bdzv9IJapcqd_h6PVirhA0NwSP.m21ZZfImbh5vqJU4Rxym7JltUkS _WXzj_agPXslBgZhry.oBEVJVH41vzEf1MReH7PfKdHycnWfcn0m.Lf8VR_z 13dVkeN6uSigpH.V.HyMVx6AV2EyN_SSTCTQF8WJYnuyHXtwpd4fiulX3ie. E.hazZqLf7Q9kGdCYuV71mdNMp9EzpfuNubypYuEpVslZNMfy3Zh.4r6wPfZ GwyeShHmgxVJeLrNloiIaald92LiBtE4jWjfhSCvvDA3ZLKlr95BDHSJ4oWb zJ69HfE_FfP3y6m0Jsr0wQw7bLVunAY_0HS0.INe8ySXfH_9CUoDmZAOyrrp RrXmr.aIUUGgAAwiriRtWrk1E7_4BlVJ.awzdrfT3 X-Yahoo-SMTP: pX5JzlCswBCHjFe3u2nDwDnAKSoAPmfgWieH5g-- Date: Wed, 13 May 2015 16:24:30 -0700 From: 20/20 Lab Organization: 20/20 Optometric User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:31.0) Gecko/20100101 Thunderbird/31.6.0 MIME-Version: 1.0 To: python-list@python.org Subject: Looking for direction Content-Type: text/plain; charset=utf-8; format=flowed Content-Transfer-Encoding: 7bit X-BeenThere: python-list@python.org X-Mailman-Version: 2.1.20+ 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: 26 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1431559626 news.xs4all.nl 2848 [2001:888:2000:d::a6]:53423 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:90589 I'm a beginner to python. Reading here and there. Written a couple of short and simple programs to make life easier around the office. That being said, I'm not even sure what I need to ask for. I've never worked with external data before. I have a LARGE csv file that I need to process. 110+ columns, 72k rows. I managed to write enough to reduce it to a few hundred rows, and the five columns I'm interested in. Now is were I have my problem: myList = [ [123, "XXX", "Item", "Qty", "Noise"], [72976, "YYY", "Item", "Qty", "Noise"], [123, "XXX" "ItemTypo", "Qty", "Noise"] ] Basically, I need to check for rows with duplicate accounts row[0] and staff (row[1]), and if so, remove that row, and add it's Qty to the original row. I really dont have a clue how to go about this. The number of rows change based on which run it is, so I couldnt even get away with using hundreds of compare loops. If someone could point me to some documentation on the functions I would need, or a tutorial it would be a great help. Thank you.