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299 def distance_between_points(point_a, point_b): 300 """ 301 302 Vectorized Euclidean Distance 303 304 :param point_a: 305 :param point_b: 306 :return: 307 """ 308 return np.sqrt(np.sum((np.array(point_a) - np.array(point_b))**2))

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53 def _py_distance(point1, point2): 54 ''' 55 Calculating great-circle distance 56 (see https://en.wikipedia.org/wiki/Great-circle_distance) 57 ''' 58 lon1, lat1 = (radians(coord) for coord in point1) 59 lon2, lat2 = (radians(coord) for coord in point2) 60 61 dlon = fabs(lon1 - lon2) 62 dlat = fabs(lat1 - lat2) 63 64 numerator = sqrt( 65 (cos(lat2)*sin(dlon))**2 + 66 ((cos(lat1)*sin(lat2)) - (sin(lat1)*cos(lat2)*cos(dlon)))**2) 67 68 denominator = ( 69 (sin(lat1)*sin(lat2)) + 70 (cos(lat1)*cos(lat2)*cos(dlon))) 71 72 c = atan2(numerator, denominator) 73 return EARTH_MEAN_RADIUS*c

10 def distance(x1, y1, x2, y2): 11 """Return the distance between the points (x1, y1) and (x2, y2)""" 12 t1 = (x1 - x2) 13 t2 = (y1 - y2) 14 return math.sqrt(t1 * t1 + t2 * t2)

60 def distance(x1, y1, x2, y2): 61 """ 62 l2 distance 63 """ 64 65 return math.sqrt((x1 - x2) * (x1 - x2) + (y1 - y2) * (y1 - y2))

107 def calc_distance(x0, y0, x1, y1): 108 xd = x0 - x1 109 yd = y0 - y1 110 111 return int(sqrt(xd * xd + yd * yd))

48 def test_different_points_1(self): 49 assert math.isclose(distance(1, 1, 2, 2), math.sqrt(2))

9 def Distance(p1,p2): 10 dx = p2[0] - p1[0] 11 dy = p2[1] - p1[1] 12 return math.sqrt(dx*dx+dy*dy)

7 def distance (p1,p2): 8 return (math.sqrt((p2[1]-p1[1])**2 + (p2[0]-p1[0])**2))

37 def distance(p1, p2): 38 return math.sqrt(quadrance(p1, p2))

203 def distances(points1, points2): 204 # Much faster than any manual calculations 205 return scipy.spatial.distance.cdist(points1, points2, metric='euclidean')