擅长:python、mysql、java
<p>我推荐这个<a href="http://docs.scipy.org/doc/scipy/reference/tutorial/interpolate.html#multivariate-data-interpolation-griddata" rel="nofollow">tutorial</a>。它的核心是(从link上取下):</p>
<pre><code>>>> grid_x, grid_y = np.mgrid[0:1:100j, 0:1:200j]
>>> from scipy.interpolate import griddata
>>> grid_z0 = griddata(points, values, (grid_x, grid_y), method='nearest')
>>> grid_z1 = griddata(points, values, (grid_x, grid_y), method='linear')
>>> grid_z2 = griddata(points, values, (grid_x, grid_y), method='cubic')
</code></pre>
<p>这将得到三个不同级别的数据插值<a href="http://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.griddata.html#scipy.interpolate.griddata" rel="nofollow">(doc)</a>。在</p>