()
| 251 | |
| 252 | |
| 253 | def test_concat_multiple_missing_variables() -> None: |
| 254 | datasets = create_concat_datasets(2, seed=123) |
| 255 | expected = concat(datasets, dim="day") |
| 256 | vars_to_drop = ["pressure", "cloud_cover"] |
| 257 | |
| 258 | expected["pressure"][..., 2:] = np.nan |
| 259 | expected["cloud_cover"][..., 2:] = np.nan |
| 260 | |
| 261 | datasets[1] = datasets[1].drop_vars(vars_to_drop) |
| 262 | actual = concat(datasets, dim="day") |
| 263 | |
| 264 | # check the variables orders are the same |
| 265 | assert list(actual.data_vars.keys()) == [ |
| 266 | "temperature", |
| 267 | "pressure", |
| 268 | "humidity", |
| 269 | "precipitation", |
| 270 | "cloud_cover", |
| 271 | ] |
| 272 | |
| 273 | assert_identical(actual, expected) |
| 274 | |
| 275 | |
| 276 | @pytest.mark.parametrize("include_day", [True, False]) |
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