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issue, keyerror, pandas, bug, index, czroth, fix, pandasdev, resampling, added, verified, groupbyresample, dataframe, timestamp, sign, columns, commit, references, giving, projects, data, navigation, pull, requests, actions, security, dfgroupbyresamplecols, raise, closed, description, version, confirmed, exists, import, val, aggregate, expected, triage, reviewed, team, member, update, whatsnew, mentioned, explicit, list, mroeschke, exp, github, type,

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fix groupby-resample keyerror doc/source/whatsnew… bug fix entry [[cols]] raise keyerror assigned labels bug personal information bug issue description comment metadata assignees giving explicit list pandas import latest version type projects triage issue projects milestone bug exists giving exp… keyerror result = df issue main branch expected behavior requested column expected = dataframe milestone relationships pandas groupby resample github index=index 75ed44e sign index=series date_range df dataframe index series sign skip jump resampling checked reported confirmed reproducible timestamp core indexes data={ group val

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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: df.groupby().resample()[[cols]] raise KeyError when resampling on index
      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. - [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/getting_started/install.html#installing-the-development-version-of-pandas) of pandas. ### Reproducible Example ```python from pandas import ( DataFrame, Index, Series, Timestamp, ) from pandas.core.indexes.datetimes import date_range df = DataFrame( data={ "group": [0, 0, 0, 0, 1, 1, 1, 1], "val": [3, 1, 4, 1, 5, 9, 2, 6], }, index=Series( date_range(start="2016-01-01", periods=8), name="date", ), ) result = df.groupby("group").resample("2D")[["val"]].mean() ``` ### Issue Description If I try and do a `GroupBy` and `Resample` on a DataFrame, asking for only a subset of the columns before the aggregate, I get a KeyError. ### Expected Behavior I expect to see that the following DataFrame where the aggregate has been performed on the requested column(s) ``` expected = DataFrame( data={ "val": [2.0, 2.5, 7.0, 4.0], }, index=Index( data=[ (0, Timestamp("2016-01-01")), (0, Timestamp("2016-01-03")), (1, Timestamp("2016-01-05")), (1, Timestamp("2016-01-07")), ], name=("group", "date"), ), ) ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7 python : 3.9.15.final.0 python-bits : 64 OS : Linux OS-release : 4.15.0-66-generic Version : #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.2 numpy : 1.24.1 pytz : 2022.7.1 dateutil : 2.8.2 setuptools : 66.0.0 pip : 22.3.1 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 brotli : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 10.0.1 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.10.0 snappy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : None </details>
      author:
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      datePublished:2023-01-18T20:16:57.000Z
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      url:https://github.com/50840/pandas/issues/50840
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      headline:BUG: df.groupby().resample()[[cols]] raise KeyError when resampling on index
      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. - [x] I have confirmed this bug exists on the [main branch](https://pandas.pydata.org/docs/dev/getting_started/install.html#installing-the-development-version-of-pandas) of pandas. ### Reproducible Example ```python from pandas import ( DataFrame, Index, Series, Timestamp, ) from pandas.core.indexes.datetimes import date_range df = DataFrame( data={ "group": [0, 0, 0, 0, 1, 1, 1, 1], "val": [3, 1, 4, 1, 5, 9, 2, 6], }, index=Series( date_range(start="2016-01-01", periods=8), name="date", ), ) result = df.groupby("group").resample("2D")[["val"]].mean() ``` ### Issue Description If I try and do a `GroupBy` and `Resample` on a DataFrame, asking for only a subset of the columns before the aggregate, I get a KeyError. ### Expected Behavior I expect to see that the following DataFrame where the aggregate has been performed on the requested column(s) ``` expected = DataFrame( data={ "val": [2.0, 2.5, 7.0, 4.0], }, index=Index( data=[ (0, Timestamp("2016-01-01")), (0, Timestamp("2016-01-03")), (1, Timestamp("2016-01-05")), (1, Timestamp("2016-01-07")), ], name=("group", "date"), ), ) ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 8dab54d6573f7186ff0c3b6364d5e4dd635ff3e7 python : 3.9.15.final.0 python-bits : 64 OS : Linux OS-release : 4.15.0-66-generic Version : #75-Ubuntu SMP Tue Oct 1 05:24:09 UTC 2019 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.2 numpy : 1.24.1 pytz : 2022.7.1 dateutil : 2.8.2 setuptools : 66.0.0 pip : 22.3.1 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 brotli : None fastparquet : None fsspec : None gcsfs : None matplotlib : None numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 10.0.1 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.10.0 snappy : None sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : None </details>
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