mtgoncalves - 2 months ago 29

Python Question

I am using

`matplotlib.path.Path`

`import numpy as np`

from matplotlib import path

# Define coordinates of the boundaries

xyOuter = np.array([[-5, -5], [5, -5], [5, 5], [-5, 5]])

xyInner = np.array([[-2, -2], [2, -2], [2, 2], [-2, 2]])

# Convert boundary coordinates to Path objects

xyOuter = path.Path(xyOuter)

xyInner = path.Path(xyInner)

# Define coordinates of the test points

xyPoints = np.linspace(-7, 7, 57)

xyPoints = np.vstack([xyPoints, xyPoints]).T

# Test whether points are inside the outer region

insideOuter = xyOuter.contains_points(xyPoints)

# Test whether points are inside the inner region

insideInner = xyInner.contains_points(xyPoints)

# Initialise boolean array for region bounded by two polygons

insideRegion = np.zeros(insideOuter.shape, dtype=bool)

# Flip False to True if point is inside the outer region AND outside the inner region

for i in range(len(insideRegion)):

if insideOuter[i] == True:

if insideInner[i] == False:

insideRegion[i] = True

# Print results

for o, i, r in zip(insideOuter, insideInner, insideRegion):

print o, i, r

Is there a faster approach which does not involve a for-loop?