I am trying to figure out a way to get the area inside a specific contour line?
I use matplotlib.pyplot
to create my contours.
Does anyone have experience for this?
Thanks a lot.
From the collections
attribute of the contour collection, which is returned by the contour
function, you can get the paths describing each contour. The paths' vertices
attributes then contain the ordered vertices of the contour.
Using the vertices you can approximate the contour integral 0.5*(x*dy-y*dx), which by application of Green's theorem gives you the area of the enclosed region.
However, the contours must be fully contained in the plot, because otherwise the contours are broken up into multiple, not necessarily connected paths and the method breaks down.
Here's the method used to compute the area enclosed of the radius function, i.e. r = (x^2 + y^2)^0.5, for r=1.0, r=2.0, r=3.0.
import numpy as np
import matplotlib.pylab as plt
# Use Green's theorem to compute the area
# enclosed by the given contour.
def area(vs):
a = 0
x0,y0 = vs[0]
for [x1,y1] in vs[1:]:
dx = x1-x0
dy = y1-y0
a += 0.5*(y0*dx - x0*dy)
x0 = x1
y0 = y1
return a
# Generate some test data.
delta = 0.01
x = np.arange(-3.1, 3.1, delta)
y = np.arange(-3.1, 3.1, delta)
X, Y = np.meshgrid(x, y)
r = np.sqrt(X**2 + Y**2)
# Plot the data
levels = [1.0,2.0,3.0]
cs = plt.contour(X,Y,r,levels=levels)
plt.clabel(cs, inline=1, fontsize=10)
# Get one of the contours from the plot.
for i in range(len(levels)):
contour = cs.collections[i]
vs = contour.get_paths()[0].vertices
# Compute area enclosed by vertices.
a = area(vs)
print "r = " + str(levels[i]) + ": a =" + str(a)
plt.show()
Output:
r = 1.0: a = 2.83566351207
r = 2.0: a = 11.9922190971
r = 3.0: a = 27.3977413253
A vectorized version of @spfrnd's answer to compute the area:
x=contour.vertices[:,0]
y=contour.vertices[:,1]
area=0.5*np.sum(y[:-1]*np.diff(x) - x[:-1]*np.diff(y))
area=np.abs(area)
Note that you may need to take the abs
of the area because if the points along the contour are oriented in the opposite direction the result will be negative.
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