def get_pmap_from_csv(oqparam, fnames): """ :param oqparam: an :class:`openquake.commonlib.oqvalidation.OqParam` instance :param fnames: a space-separated list of .csv relative filenames :returns: the site mesh and the hazard curves read by the .csv files """ read = functools.partial(hdf5.read_csv, dtypedict={None: float}) imtls = {} dic = {} for wrapper in map(read, fnames): dic[wrapper.imt] = wrapper.array imtls[wrapper.imt] = levels_from(wrapper.dtype.names) oqparam.hazard_imtls = imtls oqparam.set_risk_imts(get_risk_functions(oqparam)) array = wrapper.array mesh = geo.Mesh(array['lon'], array['lat']) num_levels = sum(len(imls) for imls in oqparam.imtls.values()) data = numpy.zeros((len(mesh), num_levels)) level = 0 for im in oqparam.imtls: arr = dic[im] for poe in arr.dtype.names[3:]: data[:, level] = arr[poe] level += 1 for field in ('lon', 'lat', 'depth'): # sanity check numpy.testing.assert_equal(arr[field], array[field]) return mesh, ProbabilityMap.from_array(data, range(len(mesh)))
def get_pmap_from_csv(oqparam, fnames): """ :param oqparam: an :class:`openquake.commonlib.oqvalidation.OqParam` instance :param fnames: a space-separated list of .csv relative filenames :returns: the site mesh and the hazard curves read by the .csv files """ read = functools.partial(hdf5.read_csv, dtypedict={None: float}) imtls = {} dic = {} for wrapper in map(read, fnames): dic[wrapper.imt] = wrapper.array imtls[wrapper.imt] = levels_from(wrapper.dtype.names) oqparam.hazard_imtls = imtls oqparam.set_risk_imtls(get_risk_models(oqparam)) array = wrapper.array mesh = geo.Mesh(array['lon'], array['lat']) num_levels = sum(len(imls) for imls in oqparam.imtls.values()) data = numpy.zeros((len(mesh), num_levels)) level = 0 for im in oqparam.imtls: arr = dic[im] for poe in arr.dtype.names[3:]: data[:, level] = arr[poe] level += 1 for field in ('lon', 'lat', 'depth'): # sanity check numpy.testing.assert_equal(arr[field], array[field]) return mesh, ProbabilityMap.from_array(data, range(len(mesh)))
def get_pmap_from_nrml(oqparam, fname): """ :param oqparam: an :class:`openquake.commonlib.oqvalidation.OqParam` instance :param fname: an XML file containing hazard curves :returns: sitecol, curve array """ hcurves_by_imt = {} oqparam.hazard_imtls = imtls = collections.OrderedDict() for hcurves in nrml.read(fname): imt = hcurves['IMT'] oqparam.investigation_time = hcurves['investigationTime'] if imt == 'SA': imt += '(%s)' % hcurves['saPeriod'] imtls[imt] = ~hcurves.IMLs data = sorted((~node.Point.pos, ~node.poEs) for node in hcurves[1:]) hcurves_by_imt[imt] = numpy.array([d[1] for d in data]) lons, lats = [], [] for xy, poes in data: lons.append(xy[0]) lats.append(xy[1]) mesh = geo.Mesh(numpy.array(lons), numpy.array(lats)) sitecol = get_site_collection(oqparam, mesh) num_levels = sum(len(v) for v in imtls.values()) array = numpy.zeros((len(sitecol), num_levels)) imtls = DictArray(imtls) for imt_ in hcurves_by_imt: array[:, imtls.slicedic[imt_]] = hcurves_by_imt[imt_] return sitecol, ProbabilityMap.from_array(array, sitecol.sids)
def get_pmap_from_csv(oqparam, fnames): """ :param oqparam: an :class:`openquake.commonlib.oqvalidation.OqParam` instance :param fnames: a space-separated list of .csv relative filenames :returns: the site mesh and the hazard curves read by the .csv files """ if not oqparam.imtls: oqparam.set_risk_imtls(get_risk_models(oqparam)) if not oqparam.imtls: raise ValueError('Missing intensity_measure_types_and_levels in %s' % oqparam.inputs['job_ini']) dic = { wrapper.imt: wrapper.array for wrapper in map(writers.read_composite_array, fnames) } array = dic[next(iter(dic))] mesh = geo.Mesh(array['lon'], array['lat']) num_levels = sum(len(imls) for imls in oqparam.imtls.values()) data = numpy.zeros((len(mesh), num_levels)) level = 0 for im in oqparam.imtls: arr = dic[im] for poe in arr.dtype.names[3:]: data[:, level] = arr[poe] level += 1 for field in ('lon', 'lat', 'depth'): # sanity check numpy.testing.assert_equal(arr[field], array[field]) return mesh, ProbabilityMap.from_array(data, range(len(mesh)))
def get_pmap_from_csv(oqparam, fname): """ :param oqparam: an :class:`openquake.commonlib.oqvalidation.OqParam` instance :param fname: a .txt file with format `IMT lon lat poe1 ... poeN` :returns: the site mesh and the hazard curves read by the .txt file """ if not oqparam.imtls: oqparam.set_risk_imtls(get_risk_models(oqparam)) if not oqparam.imtls: raise ValueError('Missing intensity_measure_types_and_levels in %s' % oqparam.inputs['job_ini']) num_values = list(map(len, list(oqparam.imtls.values()))) with open(oqparam.inputs['hazard_curves']) as csvfile: mesh, hcurves = get_mesh_csvdata(csvfile, list(oqparam.imtls), num_values, valid.decreasing_probabilities) array = numpy.zeros((len(mesh), sum(num_values))) for imt_ in hcurves: array[:, oqparam.imtls.slicedic[imt_]] = hcurves[imt_] return mesh, ProbabilityMap.from_array(array, range(len(mesh)))