Source code for oasislmf.pytools.plt.data

import numpy as np

from oasislmf.pytools.common.data import oasis_int, oasis_float


[docs] SPLT_output = [ ('Period', oasis_int, '%d'), ('PeriodWeight', oasis_float, '%.6f'), ('EventId', oasis_int, '%d'), ('Year', oasis_int, '%d'), ('Month', oasis_int, '%d'), ('Day', oasis_int, '%d'), ('Hour', oasis_int, '%d'), ('Minute', oasis_int, '%d'), ('SummaryId', oasis_int, '%d'), ('SampleId', oasis_int, '%d'), ('Loss', oasis_float, '%.2f'), ('ImpactedExposure', oasis_float, '%.2f'), ]
[docs] MPLT_output = [ ('Period', oasis_int, '%d'), ('PeriodWeight', oasis_float, '%.6f'), ('EventId', oasis_int, '%d'), ('Year', oasis_int, '%d'), ('Month', oasis_int, '%d'), ('Day', oasis_int, '%d'), ('Hour', oasis_int, '%d'), ('Minute', oasis_int, '%d'), ('SummaryId', oasis_int, '%d'), ('SampleType', oasis_int, '%d'), ('ChanceOfLoss', oasis_float, '%.4f'), ('MeanLoss', oasis_float, '%.2f'), ('SDLoss', oasis_float, '%.2f'), ('MaxLoss', oasis_float, '%.2f'), ('FootprintExposure', oasis_float, '%.2f'), ('MeanImpactedExposure', oasis_float, '%.2f'), ('MaxImpactedExposure', oasis_float, '%.2f'), ]
[docs] QPLT_output = [ ('Period', oasis_int, '%d'), ('PeriodWeight', oasis_float, '%.6f'), ('EventId', oasis_int, '%d'), ('Year', oasis_int, '%d'), ('Month', oasis_int, '%d'), ('Day', oasis_int, '%d'), ('Hour', oasis_int, '%d'), ('Minute', oasis_int, '%d'), ('SummaryId', oasis_int, '%d'), ('Quantile', oasis_float, '%.2f'), ('Loss', oasis_float, '%.2f'), ]
[docs] SPLT_headers = [c[0] for c in SPLT_output]
[docs] MPLT_headers = [c[0] for c in MPLT_output]
[docs] QPLT_headers = [c[0] for c in QPLT_output]
[docs] SPLT_dtype = np.dtype([(c[0], c[1]) for c in SPLT_output])
[docs] MPLT_dtype = np.dtype([(c[0], c[1]) for c in MPLT_output])
[docs] QPLT_dtype = np.dtype([(c[0], c[1]) for c in QPLT_output])
[docs] SPLT_fmt = ','.join([c[2] for c in SPLT_output])
[docs] MPLT_fmt = ','.join([c[2] for c in MPLT_output])
[docs] QPLT_fmt = ','.join([c[2] for c in QPLT_output])