Path: csiph.com!v102.xanadu-bbs.net!xanadu-bbs.net!feeder.erje.net!1.eu.feeder.erje.net!bcyclone01.am1.xlned.com!bcyclone01.am1.xlned.com!newsfeed.xs4all.nl!newsfeed4.news.xs4all.nl!xs4all!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 0.039 X-Spam-Evidence: '*H*': 0.92; '*S*': 0.00; 'from:addr:yahoo.co.uk': 0.05; 'received:80.91': 0.09; 'received:80.91.229': 0.09; 'received:gmane.org': 0.09; 'received:list': 0.09; 'python': 0.11; 'assume': 0.11; 'subject:python': 0.14; 'mylist': 0.16; 'received:80.91.229.3': 0.16; 'received:plane.gmane.org': 0.16; 'sebastian': 0.16; 'wrote:': 0.16; 'language': 0.19; 'lawrence': 0.22; 'header:In-Reply-To:1': 0.24; 'header:User-Agent:1': 0.26; 'header:X-Complaints-To:1': 0.26; 'data,': 0.27; 'language.': 0.32; 'to:addr:python-list': 0.35; 'list': 0.35; 'url:org': 0.36; 'subject:: ': 0.37; 'missing': 0.37; 'received:org': 0.38; 'say': 0.38; 'to:addr:python.org': 0.39; 'data': 0.40; 'mark': 0.40; 'close': 0.61; 'our': 0.64; 'series': 0.65; 'charset:windows-1252': 0.65; 'python-list': 0.66; 'price': 0.68; 'finance': 0.74; 'low': 0.83; 'cheung': 0.84; 'high,': 0.84; 'open,': 0.84; 'pythonistas,': 0.84 X-Injected-Via-Gmane: http://gmane.org/ To: python-list@python.org From: Mark Lawrence Subject: Re: python financial data cleaning Date: Mon, 15 Jun 2015 11:19:14 +0100 References: Mime-Version: 1.0 Content-Type: text/plain; charset=windows-1252; format=flowed Content-Transfer-Encoding: 7bit X-Gmane-NNTP-Posting-Host: host-78-146-2-64.as13285.net User-Agent: Mozilla/5.0 (Windows NT 6.3; WOW64; rv:31.0) Gecko/20100101 Thunderbird/31.7.0 In-Reply-To: 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: 12 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1434363576 news.xs4all.nl 2848 [2001:888:2000:d::a6]:56128 X-Complaints-To: abuse@xs4all.nl X-Received-Bytes: 3147 X-Received-Body-CRC: 1761861053 Xref: csiph.com comp.lang.python:92624 On 15/06/2015 11:12, Sebastian M Cheung via Python-list wrote: > How to do financial data cleaning ? Say I assume a list of 1000 finance series data in myList = Open, High, Low and Close. For missing Close Price data, What is best practice to clean data in Python > http://pandas.pydata.org/ -- My fellow Pythonistas, ask not what our language can do for you, ask what you can do for our language. Mark Lawrence