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RectBivariateSpline

class numeric.interpolate.RectBivariateSpline(object)

Bivariate spline approximation over a rectangular mesh.

Can be used for both smoothing and interpolating data.

Parameters:
  • x – (array_like) 1-D arrays of x coordinate in strictly ascending order.
  • y – (array_like) 1-D arrays of y coordinate in strictly ascending order.
  • z – (array_like) 2-D array of data with shape (x.size,y.size).

Examples:

from mipylib.numeric import interpolate

x, y = meshgrid(linspace(-1, 1, 20), linspace(-1, 1, 20))
z = (x+y) * exp(-6.0*(x*x+y*y))
f = interpolate.RectBivariateSpline(x[0,:], y[:,0], z)

subplot(1,2,1)
im = imshow(x[0,:], y[:,0], z, 40)
colorbar(im)

xnew, ynew = meshgrid(linspace(-1, 1, 70), linspace(-1, 1, 70))
znew = f(xnew, ynew)
subplot(1,2,2)
im = imshow(xnew[0,:], ynew[:,0], znew, 40)
colorbar(im)
suptitle('2-D grid data interpolation example')
../../../../_images/rect_bivariate_spline.png