Every line of 'python calculate distance between all points' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.
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))
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')