Source code for openquake.commands.plot_sites

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (C) 2015-2018 GEM Foundation
# OpenQuake is free software: you can redistribute it and/or modify it
# under the terms of the GNU Affero General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# OpenQuake is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# GNU Affero General Public License for more details.
# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <>.
import logging
import random
import numpy
from openquake.baselib import sap, datastore, performance
from openquake.hazardlib.geo.utils import cross_idl, fix_lon
from openquake.hazardlib.calc.filters import SourceFilter
from openquake.commonlib import readinput

[docs]def cross(lonlat, width, height): return cross_idl(lonlat[0], lonlat[0] + width)
[docs]def fix_polygon(poly, idl): # manage the international date line and add the first point as last point # to close the polygon lons = poly.lons % 360 if idl else poly.lons return (numpy.append(lons, lons[0]), numpy.append(poly.lats, poly.lats[0]))
@sap.Script def plot_sites(calc_id=-1): """ Plot the sites and the bounding boxes of the sources, enlarged by the maximum distance """ # NB: matplotlib is imported inside since it is a costly import import matplotlib.pyplot as p from matplotlib.patches import Rectangle logging.basicConfig(level=logging.INFO) dstore = oq = dstore['oqparam'] sitecol = dstore['sitecol'] lons, lats = sitecol.lons, sitecol.lats srcfilter = SourceFilter(sitecol.complete, oq.maximum_distance) csm = readinput.get_composite_source_model(oq) sources_by_grp = srcfilter.pfilter( csm.get_sources(), dict(concurrent_tasks=oq.concurrent_tasks), performance.Monitor()) csm = sources = csm.get_sources() if len(sources) > 100:'Sampling 100 sources of %d', len(sources)) sources = random.Random(42).sample(sources, 100) fig, ax = p.subplots() ax.grid(True) rects = [srcfilter.get_rectangle(src) for src in sources] lonset = set(lons) for ((lon, lat), width, height) in rects: lonset.add(lon) lonset.add(fix_lon(lon + width)) idl = cross_idl(min(lonset), max(lonset)) if idl: lons = lons % 360 for src, ((lon, lat), width, height) in zip(sources, rects): lonlat = (lon % 360 if idl else lon, lat) ax.add_patch(Rectangle(lonlat, width, height, fill=False)) if hasattr(src.__class__, 'polygon'): xs, ys = fix_polygon(src.polygon, idl) p.plot(xs, ys, marker='.') p.scatter(lons, lats, marker='+') plot_sites.arg('calc_id', 'a computation id', type=int)