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pandas, bug, dfa, dtype, issue, works, column, index, sign, raises, attributeerror, string, projects, object, navigation, pull, requests, actions, security, closed, description, ragblufthim, version, confirmed, exists, dtypestring, expected, triage, reviewed, team, member, github, type, milestone, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing, search, jump, pandasdev, public, notifications,

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assigned labels bug personal information bug comment metadata assignees latest version type projects triage issue import pandas df2['a'] works projects milestone raises attributeerror bug exists dtype string attribute 'a' issue pandas pandas 1 dtype object main branch getattribute raising milestone relationships df2 = df1 column index github bug 'dataframe' object string dtype= dtype df2 expected column index 'object' df1 dataframe works sign skip jump df checked reported confirmed reproducible list abc xyz set_axis iloc[0] axis=

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      context:https://schema.org
      headline:BUG: df.A raises AttributeError if column index is of dtype string
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd df1 = pd.DataFrame({0:list("Abc"), 1:list("Xyz")}, dtype="string") df2 = df1.set_axis(df1.iloc[0], axis="columns") df2.A # raises AttributeError ``` ### Issue Description `df2.A` raises `AttributeError: 'DataFrame' object has no attribute 'A'` even though df2 has a column A. `df2['A']` works as expected. When I leave out the `dtype="string"` of the creation of df1, it works. When I change the first argument of the `.set_axis` above to `df1.iloc[0].astype('object')` it works. So `df2.A` works if the column index is of dtype object, but not if it is of dtype string. ### Expected Behavior `df2.A` works regardless of the dtype of the column index. The Reproducable Example works with Pandas 1.2.4, probably because there every index is of dtype object. (I noticed the bug after upgrading from 1.2.4 to 1.4.1, when production scripts stopped working.) ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.10.2.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19042 machine : AMD64 ... pandas : 1.4.1 numpy : 1.22.2 pytz : 2021.3 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.1.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : None pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None </details>
      author:
         url:https://github.com/RagBlufThim
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         name:RagBlufThim
      datePublished:2022-02-28T20:32:41.000Z
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      url:https://github.com/46185/pandas/issues/46185
      context:https://schema.org
      headline:BUG: df.A raises AttributeError if column index is of dtype string
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd df1 = pd.DataFrame({0:list("Abc"), 1:list("Xyz")}, dtype="string") df2 = df1.set_axis(df1.iloc[0], axis="columns") df2.A # raises AttributeError ``` ### Issue Description `df2.A` raises `AttributeError: 'DataFrame' object has no attribute 'A'` even though df2 has a column A. `df2['A']` works as expected. When I leave out the `dtype="string"` of the creation of df1, it works. When I change the first argument of the `.set_axis` above to `df1.iloc[0].astype('object')` it works. So `df2.A` works if the column index is of dtype object, but not if it is of dtype string. ### Expected Behavior `df2.A` works regardless of the dtype of the column index. The Reproducable Example works with Pandas 1.2.4, probably because there every index is of dtype object. (I noticed the bug after upgrading from 1.2.4 to 1.4.1, when production scripts stopped working.) ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.10.2.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19042 machine : AMD64 ... pandas : 1.4.1 numpy : 1.22.2 pytz : 2021.3 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.1.0 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : None IPython : None pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None </details>
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