Example #1
0
    P.show()
  height_diff = list()
  if save_work:
    sys.stdout = open(filename + '.txt', 'w')
  print name
  print "\nAnalysis Array:"
  for n in N.arange(y.size):
    print "\t%d" % (n + 1),
  print
  for (num, row) in enumerate(field.T):
    print "%d\t" % (num + 1),
    for col in row:
      print "%7.2f" % col,
    print
  print "\nk\tSTID\tZ_o\t\tZ_a\t\tZ_o - Z_a"
  for i in range(len(data.x)):
    try:
      interp_height = oban.bilinear(x, y, field, data.x[i], data.y[i])
      hd = data.heights[i] - interp_height
      height_diff.append(hd)
      print "%d\t%.0f\t%.4f\t%.4f\t%.4f" % (i, data.stids[i], data.heights[i],\
        interp_height, hd)
    except ValueError:
      print "%d\t%.0f\t%.4f\tOff Grid\tOff Grid" % (i, data.stids[i],\
        data.heights[i])
  height_diff = N.array(height_diff)
  rms = N.sqrt(N.average(height_diff * height_diff))
  print "RMS: %.4f m" % rms
  if save_work:
    sys.stdout.close()
Example #2
0
from scipy.interpolate import interpolate
from numpy.random import randn
from numpy import meshgrid, arange, array, dot
import oban

data = randn(16).reshape(4, 4)
x = y = arange(4)
X, Y = meshgrid(x, y)

x_loc = 1.4
y_loc = 2.7

full_bilin = interpolate.interp2d(X, Y, data, kind="linear")
partial_bilin = interpolate.interp2d(X[1:, 1:], Y[1:, 1:], data[1:, 1:], kind="linear")
single_bilin = interpolate.interp2d(X[2:4, 1:3], Y[2:4, 1:3], data[2:4, 1:3], kind="linear")

print full_bilin(x_loc, y_loc)
print partial_bilin(x_loc, y_loc)
print single_bilin(x_loc, y_loc)
top = data[2, 1] + (data[2, 2] - data[2, 1]) * 0.4
bottom = data[3, 1] + (data[3, 2] - data[3, 1]) * 0.4
print top + (bottom - top) * 0.7
xw = 0.4
yw = 0.7
xws = array([1 - xw, xw])
yws = array([1 - yw, yw])
print dot(yws, dot(data[2:4, 1:3], xws))
print oban.bilinear(x, y, data, x_loc, y_loc)

print data[2:4, 1:3]