(self, data_repeated)
| 430 | ) |
| 431 | |
| 432 | def test_combine_add(self, data_repeated): |
| 433 | # GH 20825 |
| 434 | orig_data1, orig_data2 = data_repeated(2) |
| 435 | s1 = pd.Series(orig_data1) |
| 436 | s2 = pd.Series(orig_data2) |
| 437 | |
| 438 | # Check if the operation is supported pointwise for our scalars. If not, |
| 439 | # we will expect Series.combine to raise as well. |
| 440 | try: |
| 441 | with np.errstate(over="ignore"): |
| 442 | arr = self._construct_for_combine_add(orig_data1, orig_data2) |
| 443 | except TypeError: |
| 444 | # If the operation is not supported pointwise for our scalars, |
| 445 | # then Series.combine should also raise |
| 446 | with pytest.raises(TypeError): |
| 447 | s1.combine(s2, lambda x1, x2: x1 + x2) |
| 448 | return |
| 449 | expected = pd.Series(arr) |
| 450 | |
| 451 | result = s1.combine(s2, lambda x1, x2: x1 + x2) |
| 452 | tm.assert_series_equal(result, expected) |
| 453 | |
| 454 | val = s1.iloc[0] |
| 455 | result = s1.combine(val, lambda x1, x2: x1 + x2) |
| 456 | arr = self._construct_for_combine_add(orig_data1, val) |
| 457 | expected = pd.Series(arr) |
| 458 | tm.assert_series_equal(result, expected) |
| 459 | |
| 460 | def test_combine_first(self, data): |
| 461 | # https://github.com/pandas-dev/pandas/issues/24147 |
nothing calls this directly
no test coverage detected