#!/usr/bin/env python3 import numpy as np import matplotlib.pyplot as plt from collections import namedtuple from shapely.geometry import LineString, asPolygon from descartes import PolygonPatch from measure import * juosta = namedtuple('juosta', ['plotis', 'kryptis', 'dashes', 'spalva']) kelias = namedtuple('kelias', ['virsunes', 'plotis', 'kat', 'dashes', 'spalva', 'juostos']) fig, ax = plt.subplots() a08 = kelias( virsunes=[1,2,3], plotis=A08_plotis, kat=KAT1, dashes=[10,3,2,3], spalva='red', juostos=( juosta(L6+L5+L4, 'right', (100,20), 'lightgreen'), juosta(L6+L5, 'right', (100,20), 'lightgreen'), juosta(L6, 'right', (1,0), 'black'), juosta(L7, 'left', (1,0), 'black'), juosta(L7+L8, 'left', (100,20), 'lightgreen'), juosta(L7+L8+L9, 'left', (100,20), 'lightgreen'), ), ) a03 = kelias( virsunes=[11,12,13,14,15,16,17,18], plotis=A03_plotis, kat=KAT3, dashes=(1,0), spalva='pink', juostos=( offset(L1, 'right', (100,20), 'pink'), ), ) for kelias in [a08, a03]: # ašis kelias_line = LineString([Points[i].xy for i in kelias.virsunes ]) ax.plot(*kelias_line.xy, linewidth=2, dashes=kelias.dashes, color=kelias.spalva, zorder=kelias.kat) # offset'ai offset_multiplier = kelias.plotis/(kelias.juostos[0].plotis + kelias.juostos[-1].plotis) offset_lines = [] for offset in kelias.juostos: l = kelias_line.parallel_offset(offset.plotis * offset_multiplier, offset.kryptis, join_style=2) offset_lines.append(l) ax.plot(*l.xy, linewidth=.5, dashes=offset.dashes, color=offset.spalva, zorder=kelias.kat) # kelio poligonas su plotu kelias_poly = np.vstack((offset_lines[0].coords, offset_lines[-1].coords)) ax.add_patch(PolygonPatch(asPolygon(kelias_poly), fc='white', zorder=kelias.kat, linewidth=0)) A05_l = LineString([Points[i].xy for i in [4,5,6,7,8,9,10] ]) A05_offsetL = A05_l.parallel_offset(L2, 'left', join_style=2) A05_offsetR = A05_l.parallel_offset(L3, 'right', join_style=2) ax.plot(*A05_l.xy, zorder=KAT2) ax.plot(*A05_offsetL.xy, dashes=[5,5], zorder=KAT2) ax.plot(*A05_offsetR.xy, dashes=[5,5], zorder=KAT2) ax.set_title('Užliejamų plotų brėžinys') plt.show()