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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: DataFrame and Series constructor inconsistent in handling of Datetimelike object index
      articleBody:- [x] I have checked that this issue has not already been reported. (Looked through and could not find anything) - [x] I have confirmed this bug exists on the latest version of pandas. - [x] (optional) I have confirmed this bug exists on the master branch of pandas. --- **Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug. #### Code Sample, a copy-pastable example ```python 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()`` <details> INSTALLED VERSIONS ------------------ commit : ff628b17ccfcaf14ceefeb438aafa56d3849937c 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 </details>
      author:
         url:https://github.com/phofl
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      datePublished:2021-01-20T22:24:16.000Z
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      url:https://github.com/39307/pandas/issues/39307
      context:https://schema.org
      headline:BUG: DataFrame and Series constructor inconsistent in handling of Datetimelike object index
      articleBody:- [x] I have checked that this issue has not already been reported. (Looked through and could not find anything) - [x] I have confirmed this bug exists on the latest version of pandas. - [x] (optional) I have confirmed this bug exists on the master branch of pandas. --- **Note**: Please read [this guide](https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports) detailing how to provide the necessary information for us to reproduce your bug. #### Code Sample, a copy-pastable example ```python 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()`` <details> INSTALLED VERSIONS ------------------ commit : ff628b17ccfcaf14ceefeb438aafa56d3849937c 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 </details>
      author:
         url:https://github.com/phofl
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      url:https://github.com/39307/pandas/issues/39307
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