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Series with dtype=object does unexpected type conversion #39285
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Hello @ftrihardjo! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found: There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻 Comment last updated at 2021-01-28 09:55:31 UTC |
jreback
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pls follow the precommit instructions to lint your code
pandas/tests/series/test_api.py
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| result = s + 1 | ||
| assert result.attrs == {"version": 1} | ||
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| def test_series_with_object_dtype(self): |
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these should go in pandas/tests/series/indexing/test_setitem.py
name the test with _empty in its name
pandas/tests/series/test_api.py
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| series = pd.Series([], dtype=object) | ||
| series["timestamp"] = timestamp | ||
| expected = type(series.timestamp) | ||
| series = pd.Series([], dtype=object) |
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blank line between cases
pandas/tests/series/test_api.py
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| timestamp = pd.Timestamp(1412526600000000000) | ||
| series = pd.Series([], dtype=object) | ||
| series["timestamp"] = timestamp | ||
| expected = type(series.timestamp) |
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explcity construct the result series and use tm.assert_series_equal
| series["anything"] = 300.0 | ||
| series["timestamp"] = timestamp | ||
| result = series["timestamp"] | ||
| assert isinstance(result, Timestamp) and isinstance(expected, Timestamp) |
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you can
assert result == expected
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thanks @ftrihardjo |
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