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I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the master branch of pandas.
def test_date_col_as_index_col(all_parsers): data = """\ KORD,19990127 19:00:00, 18:56:00, 0.8100, 2.8100, 7.2000, 0.0000, 280.0000 KORD,19990127 20:00:00, 19:56:00, 0.0100, 2.2100, 7.2000, 0.0000, 260.0000 KORD,19990127 21:00:00, 20:56:00, -0.5900, 2.2100, 5.7000, 0.0000, 280.0000 KORD,19990127 21:00:00, 21:18:00, -0.9900, 2.0100, 3.6000, 0.0000, 270.0000 KORD,19990127 22:00:00, 21:56:00, -0.5900, 1.7100, 5.1000, 0.0000, 290.0000 """ parser = all_parsers result = parser.read_csv( StringIO(data), header=None, prefix="X", parse_dates=[1], index_col=1 ) index = Index( [ datetime(1999, 1, 27, 19, 0), datetime(1999, 1, 27, 20, 0), datetime(1999, 1, 27, 21, 0), datetime(1999, 1, 27, 21, 0), datetime(1999, 1, 27, 22, 0), ], name="X1", ) expected = DataFrame( [ ["KORD", " 18:56:00", 0.81, 2.81, 7.2, 0.0, 280.0], ["KORD", " 19:56:00", 0.01, 2.21, 7.2, 0.0, 260.0], ["KORD", " 20:56:00", -0.59, 2.21, 5.7, 0.0, 280.0], ["KORD", " 21:18:00", -0.99, 2.01, 3.6, 0.0, 270.0], ["KORD", " 21:56:00", -0.59, 1.71, 5.1, 0.0, 290.0], ], columns=["X0", "X2", "X3", "X4", "X5", "X6", "X7"], index=index, ) > tm.assert_frame_equal(result, expected) pandas/tests/io/parser/test_parse_dates.py:434: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ pandas/_libs/testing.pyx:52: in pandas._libs.testing.assert_almost_equal cpdef assert_almost_equal(a, b, _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > raise_assert_detail(obj, msg, lobj, robj, index_values=index_values) E AssertionError: DataFrame.iloc[:, 1] (column name="X2") are different E E DataFrame.iloc[:, 1] (column name="X2") values are different (100.0 %) E [index]: [1999-01-27T19:00:00.000000000, 1999-01-27T20:00:00.000000000, 1999-01-27T21:00:00.000000000, 1999-01-27T21:00:00.000000000, 1999-01-27T22:00:00.000000000] E [left]: [18:56:00, 19:56:00, 20:56:00, 21:18:00, 21:56:00] E [right]: [ 18:56:00, 19:56:00, 20:56:00, 21:18:00, 21:56:00]
Looks like the new PyArrow version deletes the space in front of the string
Not sure, but probably should be kept
https://github.com/pandas-dev/pandas/runs/4157976598?check_suite_focus=true
last working build on master: https://github.com/pandas-dev/pandas/runs/4155457578?check_suite_focus=true
The text was updated successfully, but these errors were encountered:
missed #44231
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I have checked that this issue has not already been reported.
I have confirmed this bug exists on the latest version of pandas.
I have confirmed this bug exists on the master branch of pandas.
Reproducible Example
Issue Description
Looks like the new PyArrow version deletes the space in front of the string
Expected Behavior
Not sure, but probably should be kept
Installed Versions
https://github.com/pandas-dev/pandas/runs/4157976598?check_suite_focus=true
last working build on master:
https://github.com/pandas-dev/pandas/runs/4155457578?check_suite_focus=true
The text was updated successfully, but these errors were encountered: