How have you accomplished this? Did I miss a simpler solution?

This was written under the influence of heavy pain meds, so use with caution....

Code:

```
#########################################################
# Haack Series Nose Cone Designer
#########################################################
# This simple script will design and plot the a Haack
# series nose cone based on the Equations found at
# https://en.wikipedia.org/wiki/Nose_cone_design
#
# The author was only interested in a Von Karman nose
# cone with C=0, and therefore it is the only value tested.
#
# This code uses numpy for calculation and matplotlib for
# display. If you set plot to False, matplotlib is
# ignored
#
import numpy
plot =True # Set to False if you don't want to display the result
createTuples=True # If true will create point tuples for import into Rhino
noseLength = 33 # Total nosecone length in the units of your choosing
baseDia = 6.25 # Diameter at the base of the nose cone in the same units as noseLength
xResolution = .1 # Determines how often the equation is evaluated
c = 0 # C=0 for LD-Haack (Von Kaarman)
x = numpy.arange(0, noseLength+xResolution, xResolution) # X values evaluated
th = numpy.arccos(1-(2*x/noseLength))
sc = 0.5*baseDia/numpy.sqrt(numpy.pi) # sclaing coefficent
y = sc *numpy.sqrt(th-(numpy.sin(2*th)/2)+(c*numpy.sin(th)**3)) # Half nose cone profile
if createTuples:
z=numpy.zeros_like(x)
tList = (numpy.array([numpy.flipud(y),z, x]).T).tolist() #y,z,x will transpose y/X so that the nosecone points up
if plot:
from matplotlib import pyplot as plt
plt.plot(x,y, color='b')
plt.plot(x,-1*y, color='b')
plt.axes().set_aspect('equal', 'datalim')
plt.show()
```

Rhino Script:

Code:

```
import rhinoscriptsyntax as rs
tList = [[3.125, 0.0, 0.0]... [3.1245578867946904, 0.0, 0.1]] # Copy from resulting tList from top script here
rs.AddInterpCurve(tList)
```