#!/usr/bin/env python # -*- coding: utf-8 -*- from math import sqrt import shapefile from matplotlib import pyplot from descartes import PolygonPatch from shapely.geometry import Polygon, LineString, Point # used to import dictionary data to shapely from shapely.geometry import asShape from shapely.geometry import mapping # calculate the size of our matplotlib output GM = (sqrt(5) - 1.0) / 2.0 W = 8.0 H = W * GM SIZE = (W, H) # colors for our plots as hex GRAY = \'#00b700\' BLUE = \'#6699cc\' YELLOW = \'#ffe680\' # functions slightly modified from Sean Gilles http://toblerity.org/shapely/ # used for drawing our results using matplotlib def plot_coords_line(axis, object, color=\'#00b700\'): x, y = object.xy ax.plot(x, y, \'o\', color=color, zorder=1) def plot_coords_lines(axis, object, color=\'#999999\'): for linestring in object: x, y = linestring.xy ax.plot(x, y, \'o\', color=color, zorder=2) def plot_line(axis, object, color=\'#00b700\'): x, y = object.xy ax.plot(x, y, color=color, linewidth=3, zorder=1) def plot_lines(axis, object, color=\'#00b700\'): for line in object: x, y = line.xy ax.plot(x, y, color=color, alpha=0.4, linewidth=1, solid_capstyle=\'round\', zorder=2) def set_plot_bounds(object, offset=1.0): """ Creates the limits for x and y axis plot :param object: input shapely geometry :param offset: amount of space around edge of features :return: dictionary of x-range and y-range values for """ bounds = object.bounds x_min = bounds[0] y_min = bounds[1] x_max = bounds[2] y_max = bounds[3] x_range = [x_min - offset, x_max + offset] y_range = [y_min - offset, y_max + offset] return {\'xrange\': x_range, \'yrange\': y_range} # open roads Shapefile that we want to clip with pyshp roads_london = shapefile.Reader(r"../geodata/roads_london_3857.shp") # open circle polygon with pyshp clip_area = shapefile.Reader(r"../geodata/clip_area_3857.shp") # access the geometry of the clip area circle clip_feature = clip_area.shape() # convert pyshp object to shapely clip_shply = asShape(clip_feature) # create a list of all roads features and attributes roads_features = roads_london.shapeRecords() # variables to hold new geometry roads_clip_list = [] roads_shply = [] # run through each geometry, convert to shapely geom and intersect for feature in roads_features: roads_london_shply = asShape(feature.shape.__geo_interface__) roads_shply.append(roads_london_shply) roads_intersect = roads_london_shply.intersection(clip_shply) # only export linestrings, shapely also created points if roads_intersect.geom_type == "LineString": roads_clip_list.append(roads_intersect) # open writer to write our new shapefile too pyshp_writer = shapefile.Writer() # create new field pyshp_writer.field("name") # convert our shapely geometry back to pyshp, record for record for feature in roads_clip_list: geojson = mapping(feature) # create empty pyshp shape record = shapefile._Shape() # shapeType 3 is linestring record.shapeType = 3 record.points = geojson["coordinates"] record.parts = [0] pyshp_writer._shapes.append(record) # add a list of attributes to go along with the shape pyshp_writer.record(["empty record"]) # save to disk pyshp_writer.save(r"../geodata/roads_clipped.shp") # setup matplotlib figure that will display the results fig = pyplot.figure(1, figsize=SIZE, dpi=90, facecolor="white") # add a little more space around subplots fig.subplots_adjust(hspace=.5) # ################################### # first plot # display sample line and circle # ################################### # first figure upper left drawing # 222 represents the number_rows, num_cols, subplot number ax = fig.add_subplot(221) # our demonstration geometries to see the details line = LineString([(0, 1), (3, 1), (0, 0)]) polygon = Polygon(Point(1.5, 1).buffer(1)) # use of descartes to create polygon in matplotlib # input circle and color fill and outline in blue with transparancy patch1 = PolygonPatch(polygon, fc=BLUE, ec=BLUE, alpha=0.5, zorder=1) # add circle to axis in figure ax.add_patch(patch1) # add line using our function above plot_line(ax, line) # draw the line nodes using our function plot_coords_line(ax, line) # subplot title text ax.set_title(\'Input line and circle\') # define axis ranges as list [x-min, x-max] # added 1.5 units around object so not touching the sides x_range = [polygon.bounds[0] - 1.5, polygon.bounds[2] + 1.5] # y-range [y-min, y-max] y_range = [polygon.bounds[1] - 1.0, polygon.bounds[3] + 1.0] # set the x and y axis limits ax.set_xlim(x_range) ax.set_ylim(y_range) # assing the aspect ratio ax.set_aspect(1) # ########################################## # second plot # display original input circle and roads # ########################################## ax = fig.add_subplot(222) # draw our original input road lines and circle plot_lines(ax, roads_shply, color=\'#3C3F41\') patch2 = PolygonPatch(clip_shply, fc=BLUE, ec=BLUE, alpha=0.5, zorder=1) ax.add_patch(patch2) # write title of second plot ax.set_title(\'Input roads and circle\') # define the area that plot will fit into plus 600m space around x_range = set_plot_bounds(clip_shply, 600)[\'xrange\'] y_range = set_plot_bounds(clip_shply, 600)[\'yrange\'] ax.set_xlim(*x_range) ax.set_ylim(*y_range) ax.set_aspect(1) # remove the x,y axis labels by setting empty list ax.set_xticklabels([]) ax.set_yticklabels([]) # ################################### # third plot # display sample intersection # ################################### ax = fig.add_subplot(223) patch2 = PolygonPatch(polygon, fc=BLUE, ec=BLUE, alpha=0.5, zorder=1) ax.add_patch(patch2) # run the intersection detail view intersect_line = line.intersection(polygon) # plot the lines and the line vertex to plot plot_lines(ax, intersect_line, color=\'#3C3F41\') plot_coords_lines(ax, intersect_line, color=\'#3C3F41\') # write title of second plot ax.set_title(\'Line intersects circle\') # define the area that plot will fit into x_range = set_plot_bounds(polygon, 1.5)[\'xrange\'] y_range = set_plot_bounds(polygon, 1)[\'yrange\'] ax.set_xlim(*x_range) ax.set_ylim(*y_range) ax.set_aspect(1) # ################################### # fourth plot # showing results of clipped roads # ################################### ax = fig.add_subplot(224) # plot the lines and the line vertex to plot plot_lines(ax, roads_clip_list, color=\'#3C3F41\') # write title of second plot ax.set_title(\'Roads intersect circle\') # define the area that plot will fit into x_range = set_plot_bounds(clip_shply, 200)[\'xrange\'] y_range = set_plot_bounds(clip_shply, 200)[\'yrange\'] ax.set_xlim(x_range) ax.set_ylim(y_range) ax.set_aspect(1) # remove the x,y axis labels by setting empty list ax.set_xticklabels([]) ax.set_yticklabels([]) # draw the plots to the screen pyplot.show()
