Yes, look into numpy.random -&gt; norm<br><br>Matthieu<br><br><div><span class="gmail_quote">2007/11/12, sandric ionut &lt;<a href="mailto:sandricionut@yahoo.com">sandricionut@yahoo.com</a>&gt;:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
<div><div style="font-family: times new roman,new york,times,serif; font-size: 12pt;"><div>Hi:</div>
<div>&nbsp;</div>
<div>I want to create an random Gaussian 2D array with an exact size. For example I want my array to look like:</div>
<div>&nbsp;</div>
<div>2 3 4 0 1 1</div>
<div>2 3 3 4 1 1</div>
<div>3 2 5 6 7 8</div>
<div>&nbsp;</div>
<div>all the values should be randomly generated from a Gaussian distribution with mean and standard deviation</div>
<div>&nbsp;</div>
<div>Is it possible to do it with scipy or numpy?</div>
<div>&nbsp;</div>
<div>Thank you</div>
<div>&nbsp;</div>
<div>Ionut</div></div><span class="ad"><br>__________________________________________________<br>Do You Yahoo!?<br>Tired of spam?  Yahoo! Mail has the best spam protection around <br><a href="http://mail.yahoo.com" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">
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