Python-B-spline-examples

Python-B-spline-examples Examples in Python about evaluating and interpolating a B-spline curve and their comparaison using Numpy, Scipy and Matplotlib. Requirements Python 2.7.x or 3.x.x, Numpy Scipy Matplotlib Getting hands dirty Assuming you already know a little about B-spline curves, otherwise google it or check this out. Let consider a 9 points list named plist : We will do two things : A. Drawing a cubic B-Spline curve where plist is the control polygon. B. Find(interpolate) and draw the B-spline curve that go trough plist points and or in other words a curve fitting using a cubic B-spline curve. As we will work with Numpy , let's create a numpy array named ctr from plist ,and then split it into x and y arrays. A. Drawing the B-spline Curve We will draw a cubic B-spline which degree k=3 as it's the most used one. We need now to define the knots vector, with k ending equal knots: Now we have defined all requirement to draw it. we can construct a sequence of length 3 containing the knots, coefficients, and degree of the spline to pass it as the tck argument to scipy.interpolate.splev , the function that will evaluate our curve: