BUG/ENH: fix pyarrow quantile xfails #50983
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mroeschke
reviewed
Jan 26, 2023
| @@ -1337,6 +1337,28 @@ def test_quantile(data, interpolation, quantile, request): | |||
| data = data.take([0, 0, 0]) | |||
| ser = pd.Series(data) | |||
| result = ser.quantile(q=quantile, interpolation=interpolation) | |||
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| if pa.types.is_timestamp(pa_dtype) and interpolation not in ["lower", "higher"]: | |||
| # rounding error will make the check below fail | |||
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For the rounding errors for interpolation not in ["lower", "higher"], is it due to the int casting or just the quantile computation?
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not sure where it comes in. just checked that the results match what we get with DTA
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@mroeschke gentle ping on pyarrow xfail PRs |
mroeschke
approved these changes
Feb 1, 2023
|
Thanks @jbrockmendel |
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fix 156 xfails and shave 49 seconds off the test runtime