def test_io_hdf5_pass(self):
"""write and read hdf5"""
exp_df = Exposures(pd.read_excel(ENT_TEMPLATE_XLS), crs="epsg:32632")
exp_df.set_geometry_points()
exp_df.check()
# set metadata
exp_df.ref_year = 2020
exp_df.tag = Tag(ENT_TEMPLATE_XLS, 'ENT_TEMPLATE_XLS')
exp_df.value_unit = 'XSD'
file_name = DATA_DIR.joinpath('test_hdf5_exp.h5')
# pd.errors.PerformanceWarning should be suppressed. Therefore, make sure that
# PerformanceWarning would result in test failure here
import warnings
with warnings.catch_warnings():
warnings.simplefilter("error",
category=pd.errors.PerformanceWarning)
exp_df.write_hdf5(file_name)
exp_read = Exposures.from_hdf5(file_name)
self.assertEqual(exp_df.ref_year, exp_read.ref_year)
self.assertEqual(exp_df.value_unit, exp_read.value_unit)
self.assertDictEqual(exp_df.meta, exp_read.meta)
self.assertTrue(u_coord.equal_crs(exp_df.crs, exp_read.crs))
self.assertTrue(u_coord.equal_crs(exp_df.gdf.crs, exp_read.gdf.crs))
self.assertEqual(exp_df.tag.file_name, exp_read.tag.file_name)
self.assertEqual(exp_df.tag.description, exp_read.tag.description)
np.testing.assert_array_equal(exp_df.gdf.latitude.values,
exp_read.gdf.latitude.values)
np.testing.assert_array_equal(exp_df.gdf.longitude.values,
exp_read.gdf.longitude.values)
np.testing.assert_array_equal(exp_df.gdf.value.values,
exp_read.gdf.value.values)
np.testing.assert_array_equal(exp_df.gdf.deductible.values,
exp_read.gdf.deductible.values)
np.testing.assert_array_equal(exp_df.gdf.cover.values,
exp_read.gdf.cover.values)
np.testing.assert_array_equal(exp_df.gdf.region_id.values,
exp_read.gdf.region_id.values)
np.testing.assert_array_equal(exp_df.gdf.category_id.values,
exp_read.gdf.category_id.values)
np.testing.assert_array_equal(exp_df.gdf.impf_TC.values,
exp_read.gdf.impf_TC.values)
np.testing.assert_array_equal(exp_df.gdf.centr_TC.values,
exp_read.gdf.centr_TC.values)
np.testing.assert_array_equal(exp_df.gdf.impf_FL.values,
exp_read.gdf.impf_FL.values)
np.testing.assert_array_equal(exp_df.gdf.centr_FL.values,
exp_read.gdf.centr_FL.values)
for point_df, point_read in zip(exp_df.gdf.geometry.values,
exp_read.gdf.geometry.values):
self.assertEqual(point_df.x, point_read.x)
self.assertEqual(point_df.y, point_read.y)
def test_change_exposures_impf_pass(self):
"""Test _change_exposures_impf"""
meas = Measure()
meas.imp_fun_map = '1to3'
meas.haz_type = 'TC'
imp_set = ImpactFuncSet()
imp_tc = ImpactFunc()
imp_tc.haz_type = 'TC'
imp_tc.id = 1
imp_tc.intensity = np.arange(10, 100, 10)
imp_tc.mdd = np.arange(10, 100, 10)
imp_tc.paa = np.arange(10, 100, 10)
imp_set.append(imp_tc)
imp_tc = ImpactFunc()
imp_tc.haz_type = 'TC'
imp_tc.id = 3
imp_tc.intensity = np.arange(10, 100, 10)
imp_tc.mdd = np.arange(10, 100, 10) * 2
imp_tc.paa = np.arange(10, 100, 10) * 2
exp = Exposures.from_hdf5(EXP_DEMO_H5)
new_exp = meas._change_exposures_impf(exp)
self.assertEqual(new_exp.ref_year, exp.ref_year)
self.assertEqual(new_exp.value_unit, exp.value_unit)
self.assertEqual(new_exp.tag.file_name, exp.tag.file_name)
self.assertEqual(new_exp.tag.description, exp.tag.description)
self.assertTrue(
np.array_equal(new_exp.gdf.value.values, exp.gdf.value.values))
self.assertTrue(
np.array_equal(new_exp.gdf.latitude.values,
exp.gdf.latitude.values))
self.assertTrue(
np.array_equal(new_exp.gdf.longitude.values,
exp.gdf.longitude.values))
self.assertTrue(
np.array_equal(exp.gdf[INDICATOR_IMPF + 'TC'].values,
np.ones(new_exp.gdf.shape[0])))
self.assertTrue(
np.array_equal(new_exp.gdf[INDICATOR_IMPF + 'TC'].values,
np.ones(new_exp.gdf.shape[0]) * 3))
def _change_all_exposures(self, exposures):
"""
Change exposures to provided exposures_set.
Parameters
----------
exposures : climada.entity.Exposures
exposures instance
Returns
-------
new_exp : climada.entity.Exposures()
Exposures
"""
if isinstance(self.exposures_set,
str) and self.exposures_set == NULL_STR:
return exposures
if isinstance(self.exposures_set, (str, Path)):
LOGGER.debug('Setting new exposures %s', self.exposures_set)
new_exp = Exposures.from_hdf5(self.exposures_set)
new_exp.check()
elif isinstance(self.exposures_set, Exposures):
LOGGER.debug('Setting new exposures. ')
new_exp = self.exposures_set.copy(deep=True)
new_exp.check()
else:
raise ValueError(
f'{self.exposures_set} is neither a string nor an Exposures object'
)
if not np.array_equal(np.unique(exposures.gdf.latitude.values),
np.unique(new_exp.gdf.latitude.values)) or \
not np.array_equal(np.unique(exposures.gdf.longitude.values),
np.unique(new_exp.gdf.longitude.values)):
LOGGER.warning('Exposures locations have changed.')
return new_exp
def test_io_hdf5_pass(self):
"""write and read hdf5"""
exp_df = Exposures(pd.read_excel(ENT_TEMPLATE_XLS), crs="epsg:32632")
exp_df.set_geometry_points()
exp_df.check()
# set metadata
exp_df.ref_year = 2020
exp_df.tag = Tag(ENT_TEMPLATE_XLS, 'ENT_TEMPLATE_XLS')
exp_df.value_unit = 'XSD'
file_name = DATA_DIR.joinpath('test_hdf5_exp.h5')
exp_df.write_hdf5(file_name)
exp_read = Exposures.from_hdf5(file_name)
self.assertEqual(exp_df.ref_year, exp_read.ref_year)
self.assertEqual(exp_df.value_unit, exp_read.value_unit)
self.assertDictEqual(exp_df.meta, exp_read.meta)
self.assertTrue(u_coord.equal_crs(exp_df.crs, exp_read.crs))
self.assertTrue(u_coord.equal_crs(exp_df.gdf.crs, exp_read.gdf.crs))
self.assertEqual(exp_df.tag.file_name, exp_read.tag.file_name)
self.assertEqual(exp_df.tag.description, exp_read.tag.description)
np.testing.assert_array_equal(exp_df.gdf.latitude.values, exp_read.gdf.latitude.values)
np.testing.assert_array_equal(exp_df.gdf.longitude.values, exp_read.gdf.longitude.values)
np.testing.assert_array_equal(exp_df.gdf.value.values, exp_read.gdf.value.values)
np.testing.assert_array_equal(exp_df.gdf.deductible.values, exp_read.gdf.deductible.values)
np.testing.assert_array_equal(exp_df.gdf.cover.values, exp_read.gdf.cover.values)
np.testing.assert_array_equal(exp_df.gdf.region_id.values, exp_read.gdf.region_id.values)
np.testing.assert_array_equal(exp_df.gdf.category_id.values, exp_read.gdf.category_id.values)
np.testing.assert_array_equal(exp_df.gdf.impf_TC.values, exp_read.gdf.impf_TC.values)
np.testing.assert_array_equal(exp_df.gdf.centr_TC.values, exp_read.gdf.centr_TC.values)
np.testing.assert_array_equal(exp_df.gdf.impf_FL.values, exp_read.gdf.impf_FL.values)
np.testing.assert_array_equal(exp_df.gdf.centr_FL.values, exp_read.gdf.centr_FL.values)
for point_df, point_read in zip(exp_df.gdf.geometry.values, exp_read.gdf.geometry.values):
self.assertEqual(point_df.x, point_read.x)
self.assertEqual(point_df.y, point_read.y)
def test_change_all_exposures_pass(self):
"""Test _change_all_exposures method"""
meas = Measure()
meas.exposures_set = EXP_DEMO_H5
ref_exp = Exposures.from_hdf5(EXP_DEMO_H5)
exposures = Exposures()
exposures.gdf['latitude'] = np.ones(10)
exposures.gdf['longitude'] = np.ones(10)
new_exp = meas._change_all_exposures(exposures)
self.assertEqual(new_exp.ref_year, ref_exp.ref_year)
self.assertEqual(new_exp.value_unit, ref_exp.value_unit)
self.assertEqual(new_exp.tag.file_name, ref_exp.tag.file_name)
self.assertEqual(new_exp.tag.description, ref_exp.tag.description)
self.assertTrue(
np.array_equal(new_exp.gdf.value.values, ref_exp.gdf.value.values))
self.assertTrue(
np.array_equal(new_exp.gdf.latitude.values,
ref_exp.gdf.latitude.values))
self.assertTrue(
np.array_equal(new_exp.gdf.longitude.values,
ref_exp.gdf.longitude.values))
