Trajectory¶

class acoular.trajectory.Trajectory¶

Bases: HasPrivateTraits

Describes a trajectory from sampled points.

Based on a discrete number of points in space and time, a continuous trajectory is calculated using spline interpolation of positions between samples.

points = Dict(key_trait = Float, value_trait = Tuple(Float, Float, Float),  …¶

Dictionary that assigns discrete time instants (keys) to sampled (x, y, z) positions along the trajectory (values).

interval = Property()¶

Tuple of the start and end time, is set automatically (depending on points).

tck = Property()¶

Spline data, internal use.

location(t, der=0)¶

Returns the positions for one or more instants in time.

Parameters:

tarray of floats

Instances in time to calculate the positions at.

derinteger

The order of derivative of the spline to compute, defaults to 0.

Returns:

(x, y, z)tuple with arrays of floats

Positions at the given times; x, y and z have the same shape as t.

traj(t_start, t_end=None, delta_t=None, der=0)¶

Python generator that yields locations along the trajectory.

Parameters:

t_startfloat

Starting time of the trajectory, defaults to the earliest time in points.

t_endfloat

Ending time of the trajectory, defaults to the latest time in points.

delta_tfloat

Time interval between yielded trajectory points, defaults to earliest time in points.

Returns:

(x, y, z)tuples of floats

Positions at the desired times are yielded.

Examples

x.traj(0.1)

Yields the position every 0.1 s within the given interval.

x.traj(2.5, 4.5, 0.1)

Yields the position every 0.1 s between 2.5 s and 4.5 s.

x.traj(0.1, der=1)

Yields the 1st derivative of the spline (= velocity vector) every 0.1 s within the given interval.