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# Visualizing the Equation for the Eiffel Tower [Code Snippet]

Look at a visualization of and some code for the equation that helped build the legendary Eiffel Tower.

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Robert Banks's book Towing Icebergs, Falling Dominoes, and Other Adventures in Applied Mathematics describes the Eiffel Tower's shape as approximately the logarithmic curve:

...where y* and x0 are chosen to match the tower's dimensions.

Here's a plot of the curve:

And here's the code that produced the plot:

``````from numpy import log, exp, linspace, vectorize
import matplotlib.pyplot as plt

# Taken from "Towing Icebergs, Falling Dominoes,
# and Other Adventures in Applied Mathematics"
# by Robert B. Banks

# Constants given in Banks in feet. Convert to meters.
feet_to_meter = 0.0254*12
ystar  = 201*feet_to_meter
x0     = 207*feet_to_meter
height = 984*feet_to_meter

# Solve for where to cut off curve to match height of the tower.
# - ystar log xmin/x0 = height
xmin = x0 * exp(-height/ystar)

def f(x):
if -xmin < x < xmin:
return height
else:
return -ystar*log(abs(x/x0))
curve = vectorize(f)

x = linspace(-x0, x0, 400)

plt.plot(x, curve(x))
plt.xlim(-2*x0, 2*x0)
plt.xlabel("Meters")
plt.ylabel("Meters")
plt.title("Eiffel Tower")

plt.axes().set_aspect(1)
plt.savefig("eiffel_tower.svg")
``````

And that's it!

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Topics:
python ,scipy ,big data ,data visualization

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