def voronoi_finite_polygons_2d(vor, radius=None):

    new_regions = []
    new_vertices = vor.vertices.tolist()

    center = vor.points.mean(axis=0)
    if radius is None:
        radius = vor.points.ptp().max()

    # Construct a map containing all ridges for a given point
    all_ridges = {}
    for (p1, p2), (v1, v2) in zip(vor.ridge_points, vor.ridge_vertices):
        all_ridges.setdefault(p1, []).append((p2, v1, v2))
        all_ridges.setdefault(p2, []).append((p1, v1, v2))

    # Reconstruct infinite regions
    for p1, region in enumerate(vor.point_region):
        vertices = vor.regions[region]

        if all(v >= 0 for v in vertices):
            # finite region
            new_regions.append(vertices)
            continue

        # reconstruct a non-finite region
        ridges = all_ridges[p1]
        new_region = [v for v in vertices if v >= 0]

        for p2, v1, v2 in ridges:
            if v2 < 0:
                v1, v2 = v2, v1
            if v1 >= 0:
                # finite ridge: already in the region
                continue

            # Compute the missing endpoint of an infinite ridge

            t = vor.points[p2] - vor.points[p1] # tangent
            t /= np.linalg.norm(t)
            n = np.array([-t[1], t[0]])  # normal

            midpoint = vor.points[[p1, p2]].mean(axis=0)
            direction = np.sign(np.dot(midpoint - center, n)) * n
            far_point = vor.vertices[v2] + direction * radius

            new_region.append(len(new_vertices))
            new_vertices.append(far_point.tolist())

        # sort region counterclockwise
        vs = np.asarray([new_vertices[v] for v in new_region])
        c = vs.mean(axis=0)
        angles = np.arctan2(vs[:,1] - c[1], vs[:,0] - c[0])
        new_region = np.array(new_region)[np.argsort(angles)]

        # finish
        new_regions.append(new_region.tolist())

    return new_regions, np.asarray(new_vertices)

def get_polygons(X, Y, yard_line):
    points = list(zip(X, Y))

    vor = Voronoi(points)
    regions, vertices = voronoi_finite_polygons_2d(vor)

    x_diff = max(yard_line-vor.min_bound[0], vor.max_bound[0]-yard_line)
    min_x = yard_line - x_diff - 1
    max_x = yard_line + x_diff + 1
    min_y = vor.min_bound[1]
    max_y = vor.max_bound[1]

    mins = np.tile((min_x, min_y), (vertices.shape[0], 1))
    bounded_vertices = np.max((vertices, mins), axis=0)
    maxs = np.tile((max_x, max_y), (vertices.shape[0], 1))
    bounded_vertices = np.min((bounded_vertices, maxs), axis=0)

    box_vertices = [[min_x, min_y], [min_x, max_y], [max_x, max_y], [max_x, min_y]]
    box = Polygon(box_vertices)

    polygons = []
    for region in regions:
        polygon = vertices[region]
        try:
            poly = Polygon(polygon)
            poly = poly.intersection(box)
        # Currently getting this error for PlayID 20181014052141
        except shapely.geos.TopologicalError:
            polygon = np.clip(polygon, -1000000000,1000000000)
            poly = Polygon(polygon)
            poly = poly.intersection(box)
        polygons.append(poly)

    return polygons