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	<title>pandas Archives - Petamind</title>
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		<title>Dimension, Dimension, Dimension &#8211; Reshape your data</title>
		<link>https://petaminds.com/dimension-dimension-dimension-reshape-your-data/</link>
					<comments>https://petaminds.com/dimension-dimension-dimension-reshape-your-data/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Mon, 28 Oct 2019 21:45:59 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[dimension]]></category>
		<category><![CDATA[numpy]]></category>
		<category><![CDATA[pandas]]></category>
		<category><![CDATA[reshape]]></category>
		<category><![CDATA[tensorflow]]></category>
		<category><![CDATA[tf]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1553</guid>

					<description><![CDATA[<p>The most basic yet important thing when working with data array is its dimensions. This article will cover several data shapes and reshaping techniques. Why need reshaping data Imagine that you are starving and suddenly given a piece of delicious food. You may try to put it all in your mouth (Fig 1a) and find [&#8230;]</p>
<p>The post <a href="https://petaminds.com/dimension-dimension-dimension-reshape-your-data/">Dimension, Dimension, Dimension &#8211; Reshape your data</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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