def make_hmap(pmap, imtls, poes):
    """
    Compute the hazard maps associated to the passed probability map.

    :param pmap: hazard curves in the form of a ProbabilityMap
    :param imtls: DictArray with M intensity measure types
    :param poes: P PoEs where to compute the maps
    :returns: a ProbabilityMap with size (N, M, P)
    """
    M, P = len(imtls), len(poes)
    hmap = probability_map.ProbabilityMap.build(M, P, pmap, dtype=F32)
    if len(pmap) == 0:
        return hmap  # empty hazard map
    for i, imt in enumerate(imtls):
        curves = numpy.array([pmap[sid].array[imtls(imt), 0]
                              for sid in pmap.sids])
        data = compute_hazard_maps(curves, imtls[imt], poes)  # array (N, P)
        for sid, value in zip(pmap.sids, data):
            array = hmap[sid].array
            for j, val in enumerate(value):
                array[i, j] = val
    return hmap
def make_hmap ( pmap , imtls , poes ) : M , P = len ( imtls ) , len ( poes ) hmap = probability_map . ProbabilityMap . build ( M , P , pmap , dtype = F32 ) if len ( pmap ) == 0 : return hmap for i , imt in enumerate ( imtls ) : curves = numpy . array ( [ pmap [ sid ] . array [ imtls ( imt ) , 0 ] for sid in pmap . sids ] ) data = compute_hazard_maps ( curves , imtls [ imt ] , poes ) for sid , value in zip ( pmap . sids , data ) : array = hmap [ sid ] . array for j , val in enumerate ( value ) : array [ i , j ] = val return hmap
Compute the hazard maps associated to the passed probability map.

    :param pmap: hazard curves in the form of a ProbabilityMap
    :param imtls: DictArray with M intensity measure types
    :param poes: P PoEs where to compute the maps
    :returns: a ProbabilityMap with size (N, M, P)