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	<title>Comments on: Linear Data Smoothing in Python</title>
	<atom:link href="http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/</link>
	<description>A collection of thoughts in technological degradation</description>
	<lastBuildDate>Wed, 08 Feb 2012 09:12:28 -0700</lastBuildDate>
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		<item>
		<title>By: Azra</title>
		<link>http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/comment-page-1/#comment-19775</link>
		<dc:creator>Azra</dc:creator>
		<pubDate>Tue, 17 Jan 2012 14:04:30 +0000</pubDate>
		<guid isPermaLink="false">http://www.SWHarden.com/blog/?p=438#comment-19775</guid>
		<description>Thx Dude</description>
		<content:encoded><![CDATA[<p>Thx Dude</p>
]]></content:encoded>
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	<item>
		<title>By: toto</title>
		<link>http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/comment-page-1/#comment-19502</link>
		<dc:creator>toto</dc:creator>
		<pubDate>Wed, 04 Jan 2012 08:47:12 +0000</pubDate>
		<guid isPermaLink="false">http://www.SWHarden.com/blog/?p=438#comment-19502</guid>
		<description>thank for this tutorial. I am searching about how to smooth data with gaussian method and get your site. very clear explanation :)</description>
		<content:encoded><![CDATA[<p>thank for this tutorial. I am searching about how to smooth data with gaussian method and get your site. very clear explanation <img src='http://www.SWHarden.com/blog/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
]]></content:encoded>
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	<item>
		<title>By: Nazir Hussain</title>
		<link>http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/comment-page-1/#comment-16814</link>
		<dc:creator>Nazir Hussain</dc:creator>
		<pubDate>Thu, 08 Sep 2011 12:21:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.SWHarden.com/blog/?p=438#comment-16814</guid>
		<description>Thanks for your code. Its very helpful for me.</description>
		<content:encoded><![CDATA[<p>Thanks for your code. Its very helpful for me.</p>
]]></content:encoded>
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	<item>
		<title>By: Anonymous</title>
		<link>http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/comment-page-1/#comment-10409</link>
		<dc:creator>Anonymous</dc:creator>
		<pubDate>Mon, 23 Aug 2010 07:00:27 +0000</pubDate>
		<guid isPermaLink="false">http://www.SWHarden.com/blog/?p=438#comment-10409</guid>
		<description>You may find this interesting:

http://www.scipy.org/Cookbook/SignalSmooth</description>
		<content:encoded><![CDATA[<p>You may find this interesting:</p>
<p><a href="http://www.scipy.org/Cookbook/SignalSmooth" rel="nofollow" onclick="javascript:urchinTracker ('/outbound/comment/www.scipy.org');">http://www.scipy.org/Cookbook/SignalSmooth</a></p>
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	<item>
		<title>By: Viven Rajendra</title>
		<link>http://www.SWHarden.com/blog/2008-11-17-linear-data-smoothing-in-python/comment-page-1/#comment-9680</link>
		<dc:creator>Viven Rajendra</dc:creator>
		<pubDate>Sat, 15 May 2010 18:16:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.SWHarden.com/blog/?p=438#comment-9680</guid>
		<description>This should fix the padding/buffer issue....

def smooth_list(list,degree=10):
    list = [list[0]]*((degree-1)/2) + list + [list[-1]]*(degree/2)
................
...............
def smooth_list_triangle(list,degree=10):
    list = [list[0]]*(degree-1) + list + [list[-1]]*degree
................
................
def smooth_list_gaussian(list,degree=10):
    list = [list[0]]*(degree-1) + list + [list[-1]]*degree
.................
................</description>
		<content:encoded><![CDATA[<p>This should fix the padding/buffer issue&#8230;.</p>
<p>def smooth_list(list,degree=10):<br />
    list = [list[0]]*((degree-1)/2) + list + [list[-1]]*(degree/2)<br />
&#8230;&#8230;&#8230;&#8230;&#8230;.<br />
&#8230;&#8230;&#8230;&#8230;&#8230;<br />
def smooth_list_triangle(list,degree=10):<br />
    list = [list[0]]*(degree-1) + list + [list[-1]]*degree<br />
&#8230;&#8230;&#8230;&#8230;&#8230;.<br />
&#8230;&#8230;&#8230;&#8230;&#8230;.<br />
def smooth_list_gaussian(list,degree=10):<br />
    list = [list[0]]*(degree-1) + list + [list[-1]]*degree<br />
&#8230;&#8230;&#8230;&#8230;&#8230;..<br />
&#8230;&#8230;&#8230;&#8230;&#8230;.</p>
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