()
| 389 | |
| 390 | |
| 391 | def test_mode_numeric_only(): |
| 392 | df = pd.DataFrame( |
| 393 | { |
| 394 | "int": [1, 2, 3, 4, 5, 6, 7, 8], |
| 395 | "float": [1.0, 2.0, 3.0, 4.0, np.nan, 6.0, 7.0, 8.0], |
| 396 | "dt": [pd.NaT] + [datetime(2010, i, 1) for i in range(1, 8)], |
| 397 | "timedelta": pd.to_timedelta([1, 2, 3, 4, 5, 6, 7, np.nan]), |
| 398 | } |
| 399 | ) |
| 400 | ddf = from_pandas(df, npartitions=2) |
| 401 | |
| 402 | assert_eq(ddf.mode(numeric_only=False), df.mode(numeric_only=False)) |
| 403 | assert_eq(ddf.mode(), df.mode()) |
| 404 | assert_eq(ddf.mode(numeric_only=True), df.mode(numeric_only=True)) |
| 405 | |
| 406 | |
| 407 | def test_divmod(): |
nothing calls this directly
no test coverage detected