#!/usr/bin/env python """Polygon manipulations """ from utilities.numerical_tools import ensure_numeric def point_on_line(x, y, x0, y0, x1, y1): """Determine whether a point is on a line segment Input: x, y, x0, x0, x1, y1: where point is given by x, y line is given by (x0, y0) and (x1, y1) """ from Numeric import array, dot, allclose from math import sqrt a = array([x - x0, y - y0]) a_normal = array([a[1], -a[0]]) b = array([x1 - x0, y1 - y0]) if dot(a_normal, b) == 0: #Point is somewhere on the infinite extension of the line len_a = sqrt(sum(a**2)) len_b = sqrt(sum(b**2)) if dot(a, b) >= 0 and len_a <= len_b: return True else: return False else: return False def inside_polygon(points, polygon, closed = True, verbose = False): """Determine points inside a polygon Functions inside_polygon and outside_polygon have been defined in terms af separate_by_polygon which will put all inside indices in the first part of the indices array and outside indices in the last See separate_points_by_polygon for documentation """ from Numeric import array, Float, reshape if verbose: print 'Checking input to inside_polygon' try: points = ensure_numeric(points, Float) except: msg = 'Points could not be converted to Numeric array' raise msg try: polygon = ensure_numeric(polygon, Float) except: msg = 'Polygon could not be converted to Numeric array' raise msg if len(points.shape) == 1: one_point = True points = reshape(points, (1,2)) else: one_point = False indices, count = separate_points_by_polygon(points, polygon, closed, verbose) if one_point: return count == 1 else: return indices[:count] def outside_polygon(points, polygon, closed = True, verbose = False): """Determine points outside a polygon Functions inside_polygon and outside_polygon have been defined in terms af separate_by_polygon which will put all inside indices in the first part of the indices array and outside indices in the last See separate_points_by_polygon for documentation """ from Numeric import array, Float, reshape if verbose: print 'Checking input to outside_polygon' try: points = ensure_numeric(points, Float) except: msg = 'Points could not be converted to Numeric array' raise msg try: polygon = ensure_numeric(polygon, Float) except: msg = 'Polygon could not be converted to Numeric array' raise msg if len(points.shape) == 1: one_point = True points = reshape(points, (1,2)) else: one_point = False indices, count = separate_points_by_polygon(points, polygon, closed, verbose) if one_point: return count != 1 else: if count == len(indices): # No points are outside return [] else: return indices[count:][::-1] #return reversed def separate_points_by_polygon(points, polygon, closed = True, verbose = False): """Determine whether points are inside or outside a polygon Input: points - Tuple of (x, y) coordinates, or list of tuples polygon - list of vertices of polygon closed - (optional) determine whether points on boundary should be regarded as belonging to the polygon (closed = True) or not (closed = False) Outputs: indices: array of same length as points with indices of points falling inside the polygon listed from the beginning and indices of points falling outside listed from the end. count: count of points falling inside the polygon The indices of points inside are obtained as indices[:count] The indices of points outside are obtained as indices[count:] Examples: U = [[0,0], [1,0], [1,1], [0,1]] #Unit square separate_points_by_polygon( [[0.5, 0.5], [1, -0.5], [0.3, 0.2]], U) will return the indices [0, 2, 1] and count == 2 as only the first and the last point are inside the unit square Remarks: The vertices may be listed clockwise or counterclockwise and the first point may optionally be repeated. Polygons do not need to be convex. Polygons can have holes in them and points inside a hole is regarded as being outside the polygon. Algorithm is based on work by Darel Finley, http://www.alienryderflex.com/polygon/ """ from Numeric import array, Float, reshape, Int, zeros #Input checks try: points = ensure_numeric(points, Float) except: msg = 'Points could not be converted to Numeric array' raise msg try: polygon = ensure_numeric(polygon, Float) except: msg = 'Polygon could not be converted to Numeric array' raise msg assert len(polygon.shape) == 2,\ 'Polygon array must be a 2d array of vertices' assert polygon.shape[1] == 2,\ 'Polygon array must have two columns' assert len(points.shape) == 2,\ 'Points array must be a 2d array' assert points.shape[1] == 2,\ 'Points array must have two columns' N = polygon.shape[0] #Number of vertices in polygon M = points.shape[0] #Number of points px = polygon[:,0] py = polygon[:,1] #Used for an optimisation when points are far away from polygon minpx = min(px); maxpx = max(px) minpy = min(py); maxpy = max(py) #Begin main loop indices = zeros(M, Int) inside_index = 0 #Keep track of points inside outside_index = M-1 #Keep track of points outside (starting from end) for k in range(M): if verbose: if k %((M+10)/10)==0: print 'Doing %d of %d' %(k, M) #for each point x = points[k, 0] y = points[k, 1] inside = False if not x > maxpx or x < minpx or y > maxpy or y < minpy: #Check polygon for i in range(N): j = (i+1)%N #Check for case where point is contained in line segment if point_on_line(x, y, px[i], py[i], px[j], py[j]): if closed: inside = True else: inside = False break else: #Check if truly inside polygon if py[i] < y and py[j] >= y or\ py[j] < y and py[i] >= y: if px[i] + (y-py[i])/(py[j]-py[i])*(px[j]-px[i]) < x: inside = not inside if inside: indices[inside_index] = k inside_index += 1 else: indices[outside_index] = k outside_index -= 1 return indices, inside_index def separate_points_by_polygon_c(points, polygon, closed = True, verbose = False): """Determine whether points are inside or outside a polygon C-wrapper """ from Numeric import array, Float, reshape, zeros, Int if verbose: print 'Checking input to separate_points_by_polygon' #Input checks try: points = ensure_numeric(points, Float) except: msg = 'Points could not be converted to Numeric array' raise msg #if verbose: print 'Checking input to separate_points_by_polygon 2' try: polygon = ensure_numeric(polygon, Float) except: msg = 'Polygon could not be converted to Numeric array' raise msg if verbose: print 'check' assert len(polygon.shape) == 2,\ 'Polygon array must be a 2d array of vertices' assert polygon.shape[1] == 2,\ 'Polygon array must have two columns' assert len(points.shape) == 2,\ 'Points array must be a 2d array' assert points.shape[1] == 2,\ 'Points array must have two columns' N = polygon.shape[0] #Number of vertices in polygon M = points.shape[0] #Number of points from polygon_ext import separate_points_by_polygon if verbose: print 'Allocating array for indices' indices = zeros( M, Int ) if verbose: print 'Calling C-version of inside poly' count = separate_points_by_polygon(points, polygon, indices, int(closed), int(verbose)) return indices, count class Polygon_function: """Create callable object f: x,y -> z, where a,y,z are vectors and where f will return different values depending on whether x,y belongs to specified polygons. To instantiate: Polygon_function(polygons) where polygons is a list of tuples of the form [ (P0, v0), (P1, v1), ...] with Pi being lists of vertices defining polygons and vi either constants or functions of x,y to be applied to points with the polygon. The function takes an optional argument, default which is the value (or function) to used for points not belonging to any polygon. For example: Polygon_function(polygons, default = 0.03) If omitted the default value will be 0.0 Note: If two polygons overlap, the one last in the list takes precedence FIXME? : Currently, coordinates specified here are assumed to be relative to the origin (georeference) used by domain. This function is more general than domain so perhaps it'd be an idea to allow the optional argument georeference??? """ def __init__(self, regions, default = 0.0): try: len(regions) except: msg = 'Polygon_function takes a list of pairs (polygon, value). Got %s' %polygons raise msg T = regions[0] try: a = len(T) except: msg = 'Polygon_function takes a list of pairs (polygon, value). Got %s' %polygons raise msg assert a == 2, 'Must have two component each: %s' %T self.regions = regions self.default = default def __call__(self, x, y): from Numeric import ones, Float, concatenate, array, reshape, choose x = array(x).astype(Float) y = array(y).astype(Float) N = len(x) assert len(y) == N points = concatenate( (reshape(x, (N, 1)), reshape(y, (N, 1))), axis=1 ) if callable(self.default): z = self.default(x,y) else: z = ones(N, Float) * self.default for polygon, value in self.regions: indices = inside_polygon(points, polygon) #FIXME: This needs to be vectorised if callable(value): for i in indices: xx = array([x[i]]) yy = array([y[i]]) z[i] = value(xx, yy)[0] else: for i in indices: z[i] = value return z def read_polygon(filename): """Read points assumed to form a polygon There must be exactly two numbers in each line """ #Get polygon fid = open(filename) lines = fid.readlines() fid.close() polygon = [] for line in lines: fields = line.split(',') polygon.append( [float(fields[0]), float(fields[1])] ) return polygon def populate_polygon(polygon, number_of_points, seed = None, exclude = None): """Populate given polygon with uniformly distributed points. Input: polygon - list of vertices of polygon number_of_points - (optional) number of points seed - seed for random number generator (default=None) exclude - list of polygons (inside main polygon) from where points should be excluded Output: points - list of points inside polygon Examples: populate_polygon( [[0,0], [1,0], [1,1], [0,1]], 5 ) will return five randomly selected points inside the unit square """ from random import uniform, seed as seed_function seed_function(seed) points = [] #Find outer extent of polygon max_x = min_x = polygon[0][0] max_y = min_y = polygon[0][1] for point in polygon[1:]: x = point[0] if x > max_x: max_x = x if x < min_x: min_x = x y = point[1] if y > max_y: max_y = y if y < min_y: min_y = y while len(points) < number_of_points: x = uniform(min_x, max_x) y = uniform(min_y, max_y) append = False if inside_polygon( [x,y], polygon ): append = True #Check exclusions if exclude is not None: for ex_poly in exclude: if inside_polygon( [x,y], ex_poly ): append = False if append is True: points.append([x,y]) return points def point_in_polygon(polygon, delta=1e-8): """Return a point inside a given polygon which will be close to the polygon edge. Input: polygon - list of vertices of polygon delta - the square root of 2 * delta is the maximum distance from the polygon points and the returned point. Output: points - a point inside polygon searches in all diagonals and up and down (not left and right) """ import exceptions class Found(exceptions.Exception): pass point_in = False while not point_in: try: for poly_point in polygon: #[1:]: for x_mult in range (-1,2): for y_mult in range (-1,2): x = poly_point[0] y = poly_point[1] if x == 0: x_delta = x_mult*delta else: x_delta = x+x_mult*x*delta if y == 0: y_delta = y_mult*delta else: y_delta = y+y_mult*y*delta point = [x_delta, y_delta] #print "point",point if inside_polygon( point, polygon, closed = False ): raise Found except Found: point_in = True else: delta = delta*0.1 return point ############################################## #Initialise module import compile if compile.can_use_C_extension('polygon_ext.c'): from polygon_ext import point_on_line separate_points_by_polygon = separate_points_by_polygon_c if __name__ == "__main__": pass