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POGriddata creating bad shapes scipy
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2012-07-26T11:12:55.143
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2012-08-15T23:22:12.423
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2012-08-15T23:22:12.423
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I am using this <a href="https://docs.google.com/file/d/0Bxv8ab9PeMQVbGRLdGktQXpQb0k/edit" rel="nofollow">code</a> to visualise my data using griddata. The code looks like this: <pre><code>import math import numpy as np from scipy.interpolate import griddata import matplotlib.pyplot as plt **THE LIST C=DATA IS IN THE LINK ABOVE** cx=np.asarray([row[0] for row in C]) cy=np.asarray([row[1] for row in C]) cz=np.asarray([row[2] for row in C]) xi = np.linspace(22.4,22.5,10) yi = np.linspace(37,37.1,10) # grid the data. zi = griddata((cx, cy), cz, (xi[None,:], yi[:,None]), method='nearest') plt.contourf(xi,yi,zi,300,cmap=plt.cm.jet) # draw colorbar plt.colorbar() plt.xlim(xmin=22.4,xmax=22.5) plt.ylim(ymin=37,ymax=37.1) plt.title('no diamonds please') plt.show() </code></pre> As you can see there are some diamond shaped shapes which in fact should have been like the contours of a gaussian like for example shown <a href="http://www.google.com/imgres?start=312&hl=el&biw=1600&bih=730&tbs=imgo:1&tbm=isch&tbnid=RndWbW1jVB4oZM%3a&imgrefurl=http://ammar-hakim.org/sj/je/je1/je1-periodic-poisson.html&docid=ukuFb9_h0EExhM&imgurl=http://ammar-hakim.org/sj/_images/s2-periodic-poisson_2d_src_sol.png&w=800&h=600&ei=FyERUNCPD8f34QTg34DoBA&zoom=1&iact=hc&vpx=1087&vpy=408&dur=472&hovh=194&hovw=259&tx=104&ty=104&sig=106447174075007480182&page=12&tbnh=161&tbnw=215&ndsp=28&ved=1t:429,r:25,s:312,i:176" rel="nofollow">here</a> Am i doing something wrong? Should i use some other tool instead of griddata? I had problems using sagemath for this and now switched to ""pure" python. Noob level keep in mind :)
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<python><numpy><scipy><gaussian><interpolation>
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Griddata creating bad shapes scipy
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