splinebox.spline_curves.Spline.
translate#
- Spline.translate(vector)#
Translates the spline by a vector.
- Parameters:
- vectornumpy.ndarray
Displacement vector added to the coefficients.
Examples
>>> import splinebox >>> import numpy as np >>> import matplotlib.pyplot as plt
We start by creating a spline
>>> spline = splinebox.Spline(M=4, basis_function=splinebox.B3(), closed=True) >>> spline.control_points = np.array([[3, 0], [1, 1], [-1, 0], [-1, -1]])
Let’s plot the spline:
>>> t = np.linspace(0, spline.M, 1000) >>> vals = spline(t) >>> plt.plot(vals[:, 0], vals[:, 1], label="orig")
Next, we translate the spline and plot it again:
>>> spline.translate(np.array([1, 1])) >>> vals = spline(t) >>> plt.plot(vals[:, 0], vals[:, 1], linestyle="--", label="transl") >>> plt.legend() >>> plt.show()
