All,
I’m new to python, so hopefully this is not a dumb question, but I have not been able to find out directions/information of how to do this task.
I am trying to create a program that determines if a given pixel is within a certain region. The method I found that recommended how to test this involves calculating polygonal areas. In this case, that would involve the shoelace function, which I have already found. The polygon coordinates are stored in a 2-dimensional array as [(x,y),(x1,y1),(x2,y2)…].
The given set of test coordinates and the function representing the shoelace function are below:
import numpy as np
testCoords = [(201,203)...(275,203)]
def polyArea(x,y):
return 0.5 * np.abs(np.dot(x, np.roll(y,1)) - np.dot(y, np.roll(x, 1)))
How do I pass the coordinates as stored in the 2-dimensional array into the shoelace function?
>Solution :
Your polyArea expects two arrays of x and y coordinates. Your testCoords variable is a list of several points represented by their (x, y) coordinates. We will turn the later into a shape that works well, by converting it to a numpy array and transposing it:
x, y = np.array(testCoords).transpose() # Often, `.transpose()` is abbreviated as `.T`
What will give you x == [201, ..., 275] and y == [203, ..., 203].