Change default Hazard.event_name to string of event_id (#795)

* Update Hazard base.py

Change event_name default for Hazard.from_xarray_raster to string of event id.
Change variable description in class method.

* Update test_base_xarray.py

adapted event_name in test_assert_default_values and deleted event_name tests from test_missing_dims since the time dimension does not affect event_name anymore

* change default name to string of date

* save event_name as string of date and time

* ensure list of event names is flat

* Update CHANGELOG.md

* Update CHANGELOG.md

* update changelog

* Apply suggestions from code review

Co-authored-by: Lukas Riedel <[email protected]>

* Update AUTHORS.md

---------

Co-authored-by: Chahan M. Kropf <[email protected]>
Co-authored-by: Lukas Riedel <[email protected]>

Author: 3 people

AUTHORS.md

@@ -30,3 +30,4 @@
 * Nicolas Colombi
 * Leonie Villiger
 * Kam Lam Yeung
+* Sarah Hülsen

CHANGELOG.md

@@ -20,6 +20,7 @@ Code freeze date: YYYY-MM-DD
 
 ### Fixed
 
+- `Hazard.from_xarray_raster` now stores strings as default values for `Hazard.event_name` [#795](https://github.com/CLIMADA-project/climada_python/pull/795)
 - Fix the dist_approx util function when used with method="geosphere" and log=True and points that are very close. [#792](https://github.com/CLIMADA-project/climada_python/pull/792)
 
 ### Deprecated

climada/hazard/base.py

@@ -840,7 +840,7 @@ def maybe_repeat(values: np.ndarray, times: int) -> np.ndarray:
                     None,
                     np.ones(num_events),
                     np.array(range(num_events), dtype=int) + 1,
-                    list(data[coords["event"]].values),
+                    data[coords["event"]].dt.strftime("%Y-%m-%d").values.flatten().tolist(),
                     np.array(u_dt.datetime64_to_ordinal(data[coords["event"]].values)),
                 ],
                 # The accessor for the data in the Dataset

climada/hazard/test/test_base_xarray.py

@@ -72,7 +72,7 @@ def _assert_default_values(self, hazard):
         self.assertEqual(hazard.units, "")
         np.testing.assert_array_equal(hazard.event_id, [1, 2])
         np.testing.assert_array_equal(
-            hazard.event_name, [np.datetime64(val) for val in self.time]
+            hazard.event_name, [x.strftime("%Y-%m-%d") for x in self.time]
         )
         np.testing.assert_array_equal(
             hazard.date, [val.toordinal() for val in self.time]
@@ -343,7 +343,7 @@ def test_missing_dims(self):
             hazard = Hazard.from_xarray_raster(ds, "", "")
             self._assert_default_types(hazard)
             np.testing.assert_array_equal(
-                hazard.event_name, [np.datetime64(self.time[0])]
+                hazard.event_name, [self.time[0].strftime("%Y-%m-%d")]
             )
             np.testing.assert_array_equal(hazard.date, [self.time[0].toordinal()])
             np.testing.assert_array_equal(hazard.centroids.lat, [0, 0, 0, 1, 1, 1])
@@ -370,7 +370,7 @@ def test_missing_dims(self):
             hazard = Hazard.from_xarray_raster(ds, "", "")
             self._assert_default_types(hazard)
             np.testing.assert_array_equal(
-                hazard.event_name, [np.datetime64("2022-01-01")]
+                hazard.event_name, ["2022-01-01"]
             )
             np.testing.assert_array_equal(
                 hazard.date, [dt.datetime(2022, 1, 1).toordinal()]
@@ -551,6 +551,9 @@ def test_2D_time(self):
         np.testing.assert_array_equal(
             hazard.date, [val.toordinal() for val in time.flat]
         )
+        np.testing.assert_array_equal(
+            hazard.event_name, ["1999-01-01", "1999-02-01", "2000-01-01", "2000-02-01"]
+        )
 
     def test_errors(self):
         """Check if expected errors are thrown"""