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@ftrihardjo ftrihardjo commented Jan 20, 2021

@pep8speaks
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pep8speaks commented Jan 20, 2021

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 jreback changed the title pandas-dev issue #21881 Series with dtype=object does unexpected type conversion Jan 20, 2021
@jreback jreback added Dtype Conversions Unexpected or buggy dtype conversions Testing pandas testing functions or related to the test suite labels Jan 20, 2021
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pls follow the precommit instructions to lint your code

result = s + 1
assert result.attrs == {"version": 1}

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

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

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

@ftrihardjo ftrihardjo requested a review from jreback January 27, 2021 01:03
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

@jreback jreback added this to the 1.3 milestone Jan 28, 2021
@jreback jreback merged commit 179fe3a into pandas-dev:master Jan 28, 2021
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jreback commented Jan 28, 2021

thanks @ftrihardjo

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Series with dtype=object does unexpected type conversion

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