def __init__(self, positions, values):
valid = vectors.validity(np.vstack((positions, values)))
x, y, z = positions
self._baseField = np.median(values[:, valid], axis=1).reshape(3, 1)
deviations = values - self._baseField
u, v, w = values
self.imp = NaturalNeighbourInterpolatorC(
np.ascontiguousarray(x[valid]), np.ascontiguousarray(y[valid]),
np.ascontiguousarray(z[valid]), np.ascontiguousarray(u[valid]),
np.ascontiguousarray(v[valid]), np.ascontiguousarray(w[valid]))
def __init__(self, positions, values):
valid = vectors.validity(np.vstack((positions,values)))
x,y,z = positions
self._baseField = np.median(values[:,valid], axis=1).reshape(3,1)
deviations = values - self._baseField
u,v,w = values
self.imp = NaturalNeighbourInterpolatorC(
np.ascontiguousarray(x[valid]),
np.ascontiguousarray(y[valid]),
np.ascontiguousarray(z[valid]),
np.ascontiguousarray(u[valid]),
np.ascontiguousarray(v[valid]),
np.ascontiguousarray(w[valid]))
def _validity(self, y):
return vectors.validity(y)
def __call__(self, position, t):
valid = vectors.validity(position)
result = np.empty_like(position)
result[:, ~valid] = np.nan
result[:, valid] = self.imp(*(list(position[:, valid])))
return self._baseField + result
def __call__(self, position, t):
valid = vectors.validity(position)
result = np.empty_like(position)
result[:,~valid] = np.nan
result[:,valid] = self.imp(*(list(position[:,valid])))
return self._baseField + result
