Path: csiph.com!newsfeed.hal-mli.net!feeder3.hal-mli.net!newsfeed.hal-mli.net!feeder1.hal-mli.net!newsfeed.xs4all.nl!newsfeed3.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 0.028 X-Spam-Evidence: '*H*': 0.94; '*S*': 0.00; 'elements.': 0.05; 'indices': 0.07; 'cc:addr:googlegroups.com': 0.09; 'cc:addr :python-list': 0.10; 'subject:error': 0.11; 'benjamin': 0.16; 'cc:name:python list': 0.16; 'numpy': 0.16; 'wrote:': 0.17; 'import': 0.21; 'supposed': 0.21; 'subject:skip:i 10': 0.22; 'wednesday,': 0.22; "i've": 0.23; 'cc:no real name:2**0': 0.24; 'cc:addr:python.org': 0.25; 'header:In-Reply-To:1': 0.25; 'used,': 0.27; 'cc:2**2': 0.27; 'message-id:@mail.gmail.com': 0.27; "doesn't": 0.28; 'arrays': 0.29; 'function': 0.30; 'received:google.com': 0.34; 'received:209.85': 0.35; 'really': 0.36; 'skip:u 20': 0.36; 'but': 0.36; 'subject:with': 0.36; 'received:209': 0.37; 'subject:: ': 0.38; 'where': 0.40; 'skip:u 10': 0.60; 'skip:n 10': 0.63; 'more': 0.63; '2013': 0.84; 'isaac': 0.84; 'oscar': 0.84; 'hundred': 0.95; 'won': 0.96 DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:x-received:in-reply-to:references:date:message-id :subject:from:to:cc:content-type; bh=9LokI4fuY/ioDKkVvDZPRY27Goz32mOLYI9okTxECV8=; b=zg9ktYEkMDQHqo9OwoS7tjO0lPGS+DoW0sL4kRMBN6nmSU0XPLX5XLOtuKun0LzcYP +3CLU7DxMHRSLP0infeFYFqRBzS7mAJCVH2kvh2gkVSwgUv/4WYtd4l7z+7NHBV2xM3w aMMzGruSK9F1XSZFdUqwmD/5JzeeWDBN95ng9fDg4IZE2EcZayIiDIRew4ZIhbTXvfe9 14K1k1gYj0sPmgHoPKT0KlgM44CTQaRhQG5X192EU8TqwRk6dEvwiauiPM9tgxFNUbmm TcEBA0YU2gVKDXxD7ZBW979DbWa8JdKwHd5JORAViP2MIl4X0qq97tKjNNjL1BdRcYyH wC3A== MIME-Version: 1.0 X-Received: by 10.112.37.200 with SMTP id a8mr578296lbk.92.1359023455622; Thu, 24 Jan 2013 02:30:55 -0800 (PST) In-Reply-To: <94ef456a-af84-48fe-8007-df42c4a625c4@googlegroups.com> References: <0909ee56-c304-4b9d-8be9-97c7a3261d27@googlegroups.com> <8daf86cf-386c-44ae-83d5-25fb04572c00@googlegroups.com> <94ef456a-af84-48fe-8007-df42c4a625c4@googlegroups.com> Date: Thu, 24 Jan 2013 10:30:55 +0000 Subject: Re: Memory error with quadratic interpolation From: Oscar Benjamin To: Isaac Won Content-Type: text/plain; charset=ISO-8859-1 Cc: Python List , Ulrich Eckhardt , comp.lang.python@googlegroups.com 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: 23 NNTP-Posting-Host: 2001:888:2000:d::a6 X-Trace: 1359023458 news.xs4all.nl 6964 [2001:888:2000:d::a6]:37434 X-Complaints-To: abuse@xs4all.nl Xref: csiph.com comp.lang.python:37550 On 23 January 2013 17:33, Isaac Won wrote: > On Wednesday, January 23, 2013 10:51:43 AM UTC-6, Oscar Benjamin wrote: >> On 23 January 2013 14:57, Isaac Won wrote: >> >> > On Wednesday, January 23, 2013 8:40:54 AM UTC-6, Oscar Benjamin wrote: >> >> Unless I've misunderstood how this function is supposed to be used, it >> just doesn't really seem to work for arrays of much more than a few >> hundred elements. >> The solution is to use UnivariateSpline. I don't know what the difference is but it works where the other fails: import numpy as np from scipy.interpolate import UnivariateSpline x = np.array(10000 * [0.0], float) indices = np.arange(len(x)) interp = UnivariateSpline(indices, x, k=2) print(interp(1.5)) Oscar