Path: csiph.com!usenet.pasdenom.info!weretis.net!feeder1.news.weretis.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 0.016 X-Spam-Evidence: '*H*': 0.97; '*S*': 0.00; 'importing': 0.04; 'finally:': 0.05; 'say,': 0.05; 'try:': 0.07; 'advice?': 0.09; 'subject:files': 0.09; 'cc:addr:python-list': 0.10; 'programs.': 0.11; 'index': 0.13; 'file,': 0.15; 'csv': 0.16; 'exceptions.': 0.16; 'name",': 0.16; 'row': 0.16; 'skip:n 50': 0.16; 'mon,': 0.16; 'wrote:': 0.17; 'file.': 0.20; 'written': 0.20; 'trying': 0.21; 'bit': 0.21; 'import': 0.21; 'keys': 0.22; 'name;': 0.22; 'cc:2**0': 0.23; 'insert': 0.23; 'cc:no real name:2**0': 0.24; 'second': 0.24; 'connected': 0.24; 'least': 0.25; 'cc:addr:python.org': 0.25; 'header:In-Reply-To:1': 0.25; 'skip:" 20': 0.26; 'order.': 0.27; 'merge': 0.27; 'message- id:@mail.gmail.com': 0.27; 'subject:list': 0.28; "they'll": 0.29; 'definition': 0.29; 'words': 0.29; 'probably': 0.29; "i'm": 0.29; 'lists': 0.31; 'file': 0.32; 'could': 0.32; 'another': 0.33; 'entry': 0.33; "can't": 0.34; 'received:google.com': 0.34; 'thanks': 0.34; 'list': 0.35; 'nov': 0.35; 'pm,': 0.35; 'sometimes': 0.35; 'received:209.85': 0.35; 'really': 0.36; 'except': 0.36; 'but': 0.36; 'compare': 0.36; 'should': 0.36; 'skip:p 20': 0.36; 'one,': 0.37; 'two': 0.37; 'uses': 0.37; 'being': 0.37; 'ones': 0.37; 'received:209': 0.37; 'subject:: ': 0.38; 'files': 0.38; 'skip:o 20': 0.38; 'some': 0.38; 'sure': 0.38; 'shows': 0.38; 'build': 0.39; 'hello,': 0.39; 'little': 0.39; 'where': 0.40; 'header:Received:5': 0.40; 'your': 0.60; 'claim': 0.60; 'first': 0.61; 'phone,': 0.62; 'necessarily': 0.63; 'skip:n 10': 0.63; 'information': 0.63; 'within': 0.64; 'other.': 0.64; '26,': 0.65; 'phone': 0.68; 'obvious': 0.71; 'as:': 0.75; '(according': 0.84; 'understand,': 0.84; 'address;': 0.91; 'angel': 0.93; 'assured': 0.93; 'luck': 0.93 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:date:message-id:subject:from:to :cc:content-type; bh=6AB0RY0HwQo8kCNrJF1NXzlN7Iwv9WOdj3/cM69E3RA=; b=q2YpKLsDaCfqo38g6VXtaKse9va2eFKHY87K61XaZpUnQ2n8CpsRVYLd1WTn18smVh F0WVzHrj2jCCf0EcFhRyqi7+9CqgHvDwtehUIiAvs1Su7c9Il1neO1Gpyyvhc5rIpHXx mXR1wWQjeFEMMGyfdUgpi9Wu9FlS5JppZOa6Eiv1VUbPymrbzU0PzfsoDVp+XUApQv9C TVknTgfIDMuniBHEaxrkee1811W6O9cL6n1XPlndfc5Swu8mpvPNHpRy0/L134UH0h5Z RDiAZL7FtAyWCCKcaTsHzTysJKdKMDFyWdhUKpQPvRcSsNlGAXY/sZMWeRrPOBWTdjpg zqFQ== MIME-Version: 1.0 In-Reply-To: <50B3E865.9070700@davea.name> References: <50B3E865.9070700@davea.name> Date: Mon, 26 Nov 2012 23:27:58 +0100 Subject: Re: Compare list entry from csv files From: Anatoli Hristov To: d@davea.name Content-Type: text/plain; charset=UTF-8 Cc: python-list@python.org 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: 79 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1353968881 news.xs4all.nl 6923 [2001:888:2000:d::a6]:51356 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:33951 I understand, but in my case I have for sure the field "Name" in the second file that contains at least the first or the last name on it... So probably it should be possible:) The Name "Billgatesmicrosoft" contains the word "Gates" so logically I might find a solution for it. Thanks On Mon, Nov 26, 2012 at 11:08 PM, Dave Angel wrote: > On 11/26/2012 04:08 PM, Anatoli Hristov wrote: >> Hello, >> >> I'm trying to complete a namebook CSV file with missing phone numbers >> which are in another CSV file. >> the namebook file is structured: >> First name;Lastname; Address; City; Country; Phone number, where the >> phone number is missing. >> >> The phonebook file is structured as: >> Name; phone, where the name shows first and last name and sometimes >> they are written together like "BillGates" or "Billgatesmicrosoft". >> >> I'm importing the files as lists ex.: phonelist" ["First name", "Last >> name","address","City"."Country","phone"],[etc...] >> in the loop I can compare the entry for ex. "Bill Gates" in the field >> "BillGatesmicrosoft" but I can't index it so I can only take the phone >> number from the file with the phones and insert it to field in the >> Namebook. Can you please give me an advice? >> >> Thanks >> >> >> import csv >> >> origf = open('c:/Working/Test_phonebook.csv', 'rt') >> phonelist = [] >> >> try: >> reader = csv.reader(origf, delimiter=';') >> for row in reader: >> phonelist.append(row) >> finally: >> origf.close() >> >> secfile = open('c:/Working/phones.csv', 'rt') >> phones = [] >> >> try: >> readersec = csv.reader(secfile, delimiter=';') >> for row in readersec: >> phones.append(row) >> finally: >> secfile.close() > > You're trying to merge information from a second file into a first one, > where the shared key is only a little bit similar. Good luck. > > For example., in the first file, it might say Susan; Gatley and in the > other file it might say Mom. Good luck coming up with an algorthm to > match those. > > Now if you are assured that the two will be identical except for spaces, > then you could reduce both keys to the same format and then match them. > Or if you want to say they're within a Soundex definition of each > other. Or if you want to claim that they'll have the same words in > them, but not necessarily the same order. > > But if these files are really as randomly connected as you say, then the > best you can probably do is to write two programs. First is where you > take the names from each file and produce a 3rd file associating the > ones that are obvious (according to some algorithm), then build a list > of exceptions. Then allow a human being to edit that file. Then the > second file uses it to merge the first two files for your final pass. > > > -- > > DaveA >