How to plot the Cubic Spline generated from the CubicSpline method in the scipy package in python?

0
votes

I'm trying to generate a plot for the cubic spline generated between the points

#y-coordinate 
    v_max = [0.07313751514675049,
         0.0931375151467517,
         0.11313751514675259,
         0.13313751514675398,
         0.1531375151467546,
         0.17313751514676343,
         0.19313751514676608,
         0.2131375151467626,
         0.23313751514675923,
         0.2531375151467538]
#x-coodinate
t = [1.0, 3.0, 5.0, 7.0, 9.0, 11.0, 13.0, 15.0, 17.0, 19.0]

I used Cubic Spline method from the scipy package for cubic spline interpolation

cs = CubicSpline(t, v_max, bc_type='natural')

How do I get a list of points on the spline for the time period np.arange(0, 20, 0.1)?

1
pythonpython-3.xscipyinterpolationcubic-spline

1 Answers

2
votes

As you can see in the example given in the CubicSpline documentation, you can call the cubic spline as if it is a function, providing the coordinates where you want to evaluate the cubic spline as an argument.

cs = CubicSpline(t, v_max, bc_type='natural')

t_interp = np.arange(0, 20, 0.1)
v_interp = cs(t_interp)

The variables t_interp and v_interp are now both numpy arrays with shape (200,).

interpolated data

Your data can be represented as a straight line, which is reflected by the generated interpolation.