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5833641.748131458, 329913.71004823904 5833667.3690334745, 329861.9096152267 5833655.73105355, 329805.92261271196 5833623.185819611, 329544.48215402925 5833239.228108884, 329510.48868255893 5833216.419724881, 329475.90853869123 5833209.434105608, 329443.9260886345 5833216.095348236, 329412.5129678654 5833241.047804326, 329395.6979394896 5833298.235067042, 329427.0684187039 5833356.754239143, 329468.154943292 5833375.211866743, 329616.03293539496 5833395.029443128)'), ] network = gpd.GeoDataFrame(geometry=roads, crs=3857) collapsed = c4.collapse_junctions(network, 1500) collapsed["geometry"] = collapsed["geometry"].apply(lambda geom: c4.smooth_wma(geom, 20)) widths = [ 800, 2000, 2000, 2000 ] centers = [ [ 302206.73, 5844230.70 ], [ 373579.7, 5860742.4 ], [ 330274.1, 5833503.5 ], [ 349350.5, 5796263.4 ], ] # Création de la figure (Format vertical 8x12 comme demandé) fig = plt.figure(figsize=(12, 24)) # On définit une grille de 3 lignes et 2 colonnes gs = fig.add_gridspec(6, 2, height_ratios=[2, 1, 1, 2, 1, 1]) # --- 1. La vue principale (Toute la largeur de la ligne 0) --- # gs[0, :] signifie : ligne 0, toutes les colonnes sub1 = fig.add_subplot(gs[0, :]) sub1.set_title('Highway network before collapsing') # --- 2. Les vues détaillées (2 par ligne) --- # Ligne 1 sub2 = fig.add_subplot(gs[1, 0]) sub2.set_xlim(centers[0][0] - widths[0], centers[0][0] + widths[0]) sub2.set_ylim(centers[0][1] - widths[0], centers[0][1] + widths[0]) sub3 = fig.add_subplot(gs[1, 1]) sub3.set_xlim(centers[1][0] - widths[1], centers[1][0] + widths[1]) sub3.set_ylim(centers[1][1] - widths[1], centers[1][1] + widths[1]) # Ligne 2 sub4 = fig.add_subplot(gs[2, 0]) sub4.set_xlim(centers[2][0] - widths[2], centers[2][0] + widths[2]) sub4.set_ylim(centers[2][1] - widths[2], centers[2][1] + widths[2]) sub5 = fig.add_subplot(gs[2, 1]) sub5.set_xlim(centers[3][0] - widths[3], centers[3][0] + widths[3]) sub5.set_ylim(centers[3][1] - widths[3], centers[3][1] + widths[3]) # --- 1. La vue principale (Toute la largeur de la ligne 0) --- # gs[0, :] signifie : ligne 0, toutes les colonnes sub6 = fig.add_subplot(gs[3, :]) sub6.set_title('Highway network after collapsing and a slight smoothing') # --- 2. Les vues détaillées (2 par ligne) --- # Ligne 1 sub7 = fig.add_subplot(gs[4, 0]) sub7.set_xlim(centers[0][0] - widths[0], centers[0][0] + widths[0]) sub7.set_ylim(centers[0][1] - widths[0], centers[0][1] + widths[0]) sub8 = fig.add_subplot(gs[4, 1]) sub8.set_xlim(centers[1][0] - widths[1], centers[1][0] + widths[1]) sub8.set_ylim(centers[1][1] - widths[1], centers[1][1] + widths[1]) # Ligne 2 sub9 = fig.add_subplot(gs[5, 0]) sub9.set_xlim(centers[2][0] - widths[2], centers[2][0] + widths[2]) sub9.set_ylim(centers[2][1] - widths[2], centers[2][1] + widths[2]) sub10 = fig.add_subplot(gs[5, 1]) sub10.set_xlim(centers[3][0] - widths[3], centers[3][0] + widths[3]) sub10.set_ylim(centers[3][1] - widths[3], centers[3][1] + widths[3]) # --- Mise en forme globale --- # On boucle sur tous les axes pour appliquer vos paramètres répétitifs axes = [sub1, sub2, sub3, sub4, sub5, sub6, sub7, sub8, sub9, sub10] for i, ax in enumerate(axes): ax.axes.get_xaxis().set_visible(False) ax.axes.get_yaxis().set_visible(False) if i < 5: for r in network.geometry: path = Path(numpy.asarray(r.coords)[:, :2]) ax.add_patch(PathPatch(path, facecolor="none", edgecolor='gray', linewidth=0.5)) else: for r in collapsed.geometry: path = Path(numpy.asarray(r.coords)[:, :2]) ax.add_patch(PathPatch(path, facecolor="none", edgecolor='red', linewidth=0.5)) ax.autoscale_view() # Ajuste automatiquement les marges pour éviter les chevauchements plt.tight_layout() plt.show()