Source code for openquake.commands.plot_uhs

# -*- coding: utf-8 -*-
# vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright (C) 2015-2017 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
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU Affero General Public License for more details.
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# You should have received a copy of the GNU Affero General Public License
# along with OpenQuake. If not, see <http://www.gnu.org/licenses/>.

from __future__ import print_function
import numpy
from openquake.baselib import sap
from openquake.commonlib import datastore, calc


[docs]def make_figure(indices, n_sites, imtls, poes, pmaps): """ :param indices: the indices of the sites under analysis :param n_sites: total number of sites :param imtls: DictArray with the IMTs and levels :param poes: PoEs used to compute the hazard maps :param pmaps: a list of probability maps per realization """ # NB: matplotlib is imported inside since it is a costly import import matplotlib.pyplot as plt fig = plt.figure() n_poes = len(poes) uhs_by_rlz = [calc.make_uhs(pmap, imtls, poes, n_sites) for pmap in pmaps] _, periods = calc.get_imts_periods(imtls) for i, site in enumerate(indices): for j, poe in enumerate(poes): ax = fig.add_subplot(len(indices), n_poes, i * n_poes + j + 1) ax.grid(True) ax.set_xlim([periods[0], periods[-1]]) ax.set_xlabel( 'UHS on site %d, poe=%s, period in seconds' % (site, poe)) if j == 0: # set Y label only on the leftmost graph ax.set_ylabel('SA') for r, all_uhs in enumerate(uhs_by_rlz): uhs = list(all_uhs[str(poe)][site]) ax.plot(periods, uhs, label=r) plt.legend() return plt
@sap.Script def plot_uhs(calc_id, sites='0'): """ UHS plotter. """ # read the hazard data dstore = datastore.read(calc_id) getter = calc.PmapGetter(dstore) oq = dstore['oqparam'] indices = list(map(int, sites.split(','))) n_sites = len(dstore['sitecol']) if not set(indices) <= set(range(n_sites)): invalid = sorted(set(indices) - set(range(n_sites))) print('The indices %s are invalid: no graph for them' % invalid) valid = sorted(set(range(n_sites)) & set(indices)) print('Found %d site(s); plotting %d of them' % (n_sites, len(valid))) pmaps = getter.get_pmaps(numpy.array(indices)) plt = make_figure(valid, n_sites, oq.imtls, oq.poes, pmaps) plt.show() plot_uhs.arg('calc_id', 'a computation id', type=int) plot_uhs.opt('sites', 'comma-separated string with the site indices')