How to set first and last slope of cubic spline interpolation in scipy.interpolate?
By : Tymianek
Date : March 29 2020, 07:55 AM
hope this fix your issue This is not possible with interp1d. You can get the spline coefficients from splrep though.

Getting coefficients of a cubic spline from scipy.interpolate.splrep
By : TheQuantumLeviathan
Date : March 29 2020, 07:55 AM
hop of those help? If you want to have the knots in specific locations along the curves you need to use the argument task=1 of splrep and give an array of interior knots as the t argument. The knots in t must satisfy the following condition: code :
import numpy as np
import scipy.interpolate
x = np.linspace(0, 10, 20)
y = np.sin(x)
t = np.linspace(0, 10, 10)
tck = scipy.interpolate.splrep(x, y, t=t[1:1])
F = scipy.interpolate.PPoly.from_spline(tck)
print(F.x)
print(F.c)
# Accessing coeffs of nth segment: index = k + n  1
# Eg. for second segment:
print(F.c[:,4])

How to interpolate semilogx plot with cubic spline or pchip
By : user2294938
Date : March 29 2020, 07:55 AM
may help you . So I have been stuck on this for a while. I am wondering how to interpolate on a semilogx plot using different methods like pchip or cubic spline. So far this is the code that I have. , Should I be transforming the data before interpolation? code :
interp_obj = PchipInterpolator(np.log10(x), y)
new_x_vals = np.arange(0.0015, 0.42501, 0.0001)
new_y_vals = interp_obj(np.log10(new_x_vals))

"Invalid input data" from SciPy's cublic spline interpolation process; bad results from interpolate.bisplrep?
By : ShenI Yang
Date : March 29 2020, 07:55 AM

Writing Bspline as Piecewise Cubic
By : user4865938
Date : March 29 2020, 07:55 AM
I wish did fix the issue. Bsplines can be converted to piecewise polynomials efficiently. This can be easily done in Scipy 0.14.0 (to be released in a couple of months) which has scipy.interpolate.PPoly.from_spline.

