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BUG: DataFrame and Series constructor inconsistent in handling of Datetimelike object index #39307

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Closed
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phofl opened this issue Jan 20, 2021 · 3 comments · Fixed by #49169
Closed
3 tasks done
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Constructors Series/DataFrame/Index/pd.array Constructors Datetime Datetime data dtype Deprecate Functionality to remove in pandas Index Related to the Index class or subclasses
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@phofl
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phofl commented Jan 20, 2021

  • I have checked that this issue has not already been reported. (Looked through and could not find anything)

  • I have confirmed this bug exists on the latest version of pandas.

  • (optional) I have confirmed this bug exists on the master branch of pandas.


Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.

Code Sample, a copy-pastable example

import pandas as pd
idx = pd.Index([pd.Timestamp("2011-01-01")], dtype=object)
ser = pd.Series([1], index=idx)
df = pd.DataFrame([1], index=idx)
ser.index
Out[4]: DatetimeIndex(['2011-01-01'], dtype='datetime64[ns]', freq=None)
df.index
Out[5]: Index([2011-01-01 00:00:00], dtype='object')

Problem description

The behavior should be consistent, but not sure what to expected here. The inference is a nice feature although.
The current behavior leads to weird situations with indexing:

ser.loc["2011"]
Out[7]: 
2011-01-01    1
dtype: int64

works while

df.loc["2011"]
Traceback (most recent call last):
  File "/home/developer/PycharmProjects/pandas/pandas/core/indexes/base.py", line 3225, in get_loc
    return self._engine.get_loc(casted_key)
  File "pandas/_libs/index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc
    cpdef get_loc(self, object val):
  File "pandas/_libs/index.pyx", line 101, in pandas._libs.index.IndexEngine.get_loc
    return self.mapping.get_item(val)
  File "pandas/_libs/hashtable_class_helper.pxi", line 5038, in pandas._libs.hashtable.PyObjectHashTable.get_item
    cpdef get_item(self, object val):
  File "pandas/_libs/hashtable_class_helper.pxi", line 5046, in pandas._libs.hashtable.PyObjectHashTable.get_item
    raise KeyError(val)
KeyError: '2011'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
  File "/home/developer/anaconda3/envs/omi_reports/pandas-dev/lib/python3.8/site-packages/IPython/core/interactiveshell.py", line 3417, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-8-59984db8d56a>", line 1, in <module>
    df.loc["2011"]
  File "/home/developer/PycharmProjects/pandas/pandas/core/indexing.py", line 902, in __getitem__
    return self._getitem_axis(maybe_callable, axis=axis)
  File "/home/developer/PycharmProjects/pandas/pandas/core/indexing.py", line 1128, in _getitem_axis
    return self._get_label(key, axis=axis)
  File "/home/developer/PycharmProjects/pandas/pandas/core/indexing.py", line 1077, in _get_label
    return self.obj.xs(label, axis=axis)
  File "/home/developer/PycharmProjects/pandas/pandas/core/generic.py", line 3752, in xs
    loc = index.get_loc(key)
  File "/home/developer/PycharmProjects/pandas/pandas/core/indexes/base.py", line 3227, in get_loc
    raise KeyError(key) from err
KeyError: '2011'

Expected Output

Bot returning the same index dtype

Output of pd.show_versions()

INSTALLED VERSIONS

commit : ff628b1
python : 3.8.6.final.0
python-bits : 64
OS : Linux
OS-release : 5.8.0-38-generic
Version : #43~20.04.1-Ubuntu SMP Tue Jan 12 16:39:47 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.3.0.dev0+483.gff628b17cc.dirty
numpy : 1.21.0.dev0+438.gbf4ac1f81
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.3
setuptools : 49.6.0.post20201009
Cython : 0.29.21
pytest : 6.1.1
hypothesis : 5.37.1
sphinx : 3.4.3
blosc : None
feather : None
xlsxwriter : 1.3.7
lxml.etree : 4.5.2
html5lib : 1.1
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.18.1
pandas_datareader: None
bs4 : 4.9.3
bottleneck : 1.3.2
fsspec : 0.8.3
fastparquet : 0.4.1
gcsfs : 0.7.1
matplotlib : 3.3.2
numexpr : 2.7.1
odfpy : None
openpyxl : 3.0.5
pandas_gbq : None
pyarrow : 2.0.0
pyxlsb : None
s3fs : 0.4.2
scipy : 1.7.0.dev0+5e9eb01
sqlalchemy : 1.3.20
tables : 3.6.1
tabulate : 0.8.7
xarray : 0.16.1
xlrd : 1.2.0
xlwt : 1.3.0
numba : 0.51.2

@phofl phofl added Bug Needs Triage Issue that has not been reviewed by a pandas team member API Design Constructors Series/DataFrame/Index/pd.array Constructors Needs Discussion Requires discussion from core team before further action Index Related to the Index class or subclasses and removed Needs Triage Issue that has not been reviewed by a pandas team member labels Jan 20, 2021
@jbrockmendel
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IIRC we deprecated the series behavior but then un-deprecated just before 1.2.0 bc it was causing futurewarnings that we hadn’t found a good way to suppress. +1 for re-deprecating

@jbrockmendel
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#38679

@simonjayhawkins
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+1 for re-deprecating

I think we accepted that we would defer the deprecation to 1.3 (and fix the warnings issue)

We could either

  1. undo the revert (Revert "Deprecated casting an object-dtype index of datetime objects to DatetimeIndex in the Series constructor (23598)" #38679) and reopen BUG/DEPR: Fix unwanted warnings from the Series(Index[datetime objects]) deprecation #38182
  2. open an issue for the deprecation (milestoned 1.3) so it is not forgotten ( and only merge an associated PR when happy)

if we do 1, we could end up reverting again if the issue not resolved before 1.3 release.

cc @jorisvandenbossche

@mroeschke mroeschke added Deprecate Functionality to remove in pandas Datetime Datetime data dtype and removed Bug API Design Needs Discussion Requires discussion from core team before further action labels Aug 15, 2021
@jbrockmendel jbrockmendel added this to the 2.0 milestone Dec 20, 2021
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Labels
Constructors Series/DataFrame/Index/pd.array Constructors Datetime Datetime data dtype Deprecate Functionality to remove in pandas Index Related to the Index class or subclasses
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