PERF: assert_frame_equal / assert_series_equal #55971
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lukemanley
added
Testing
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pandas/_testing/asserters.py
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| @@ -328,7 +319,7 @@ def _get_ilevel_values(index, level): | |||
| diff = np.sum(mismatch.astype(int)) * 100.0 / len(left) | |||
| msg = f"{obj} values are different ({np.round(diff, 5)} %)" | |||
| raise_assert_detail(obj, msg, left, right) | |||
| else: | |||
| elif not left.equals(right): | |||
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do we know that .equals is the correct amount of strict?
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I think so, but after reviewing again I've reverted this line in favor of a lower level change to _array_equivalent_object.
This has the benefit of improving performance for more cases, e.g. not just the index values but in this case the series values:
import pandas as pd
N = 100_000
values = pd._testing.makeStringIndex(N).values
ser1 = pd.Series(values.copy())
ser2 = pd.Series(values.copy())
%timeit pd.testing.assert_series_equal(ser1, ser2)
1.92 s ± 56.1 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)
22.3 ms ± 4.18 ms per loop (mean ± std. dev. of 7 runs, 10 loops each)
mroeschke
reviewed
Nov 16, 2023
mroeschke
approved these changes
Nov 17, 2023
|
Thanks @lukemanley |
| return lib.array_equivalent_object(ensure_object(left), ensure_object(right)) | ||
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| for left_value, right_value in zip(left, right): | ||
| left = ensure_object(left) |
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can we get here in cases that are not already object? seems like if that happens then something has gone wrong?
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doc/source/whatsnew/v2.2.0.rstfile if fixing a bug or adding a new feature.Follow-up to #55949 addressing some of @jbrockmendel's comments and also expanding to non-multiindex cases: