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args, kwargs, column, result, bug, resample, file, func, rhshadrach, ops, dfweekstarting, keyerror, sign, pandas, sampled, price, volume, pddataframed, pddaterange, periods, freqw, printdfresamplem, weekstarting, projects, includes, issue, closed, warnings, selasley, size, venvspylibpythonsitepackagespandascoreresamplepy, venvspylibpythonsitepackagespandascoreapplypy, return, str, navigation, pull, requests, actions, security, aggregation, added, method, milestone, mentioned, commented, change, onweekstartingaggwsweekstarting, outputs, traceback, recent,

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10/site-packages/pandas/core/groupby/generic 10/site-packages/pandas/core/groupby/groupby file ~/venvs/py310/lib/python3 10/site-packages/pandas/core/resample 10/site-packages/pandas/core/apply personal information bug comment metadata assignees type projects current throwing warnings df['week_starting'] = pd resample docstring zmoon mentioned projects milestone 1 concatenate str pandas 1 column lookup resample ops bug groupby introduced warnings freq='w' safely avoid recent call 170 elif is_list_like reducing function produce aggregated regulatory calculations 100% complete relationships str aggregation exception occurred raising attributeerror getattr/__getitem__ upcoming change github column resampler attempts 5 closed sign df ='week_starting' 'week_starting' ['week_starting'] apply ='key' result 358 result = print 'volume'

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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: resample ops includes sampled column
      articleBody:This is similar to an example in the `DataFrame.resample` docstring ``` d = { 'price': [10, 11, 9, 13, 14, 18, 17, 19], 'volume': [50, 60, 40, 100, 50, 100, 40, 50] } df = pd.DataFrame(d) df['week_starting'] = pd.date_range('01/01/2018', periods=8, freq='W') print(df.resample('M', on='week_starting').first()) # Gives price volume week_starting week_starting 2018-01-31 10 50 2018-01-07 2018-02-28 14 50 2018-02-04 ``` I am not sure, but it seems to me it's not intended to use the `on` column in the aggregation. Because of #46560, this is current throwing warnings when `.first` is replaced by e.g. `.sum` or `.mean` and there is no way to safely avoid them. Marking this for 1.5 because of the introduced warnings.
      author:
         url:https://github.com/rhshadrach
         type:Person
         name:rhshadrach
      datePublished:2022-05-21T03:22:37.000Z
      interactionStatistic:
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      url:https://github.com/47079/pandas/issues/47079
      context:https://schema.org
      headline:BUG: resample ops includes sampled column
      articleBody:This is similar to an example in the `DataFrame.resample` docstring ``` d = { 'price': [10, 11, 9, 13, 14, 18, 17, 19], 'volume': [50, 60, 40, 100, 50, 100, 40, 50] } df = pd.DataFrame(d) df['week_starting'] = pd.date_range('01/01/2018', periods=8, freq='W') print(df.resample('M', on='week_starting').first()) # Gives price volume week_starting week_starting 2018-01-31 10 50 2018-01-07 2018-02-28 14 50 2018-02-04 ``` I am not sure, but it seems to me it's not intended to use the `on` column in the aggregation. Because of #46560, this is current throwing warnings when `.first` is replaced by e.g. `.sum` or `.mean` and there is no way to safely avoid them. Marking this for 1.5 because of the introduced warnings.
      author:
         url:https://github.com/rhshadrach
         type:Person
         name:rhshadrach
      datePublished:2022-05-21T03:22:37.000Z
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      url:https://github.com/47079/pandas/issues/47079
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      url:https://github.com/rhshadrach
      name:rhshadrach
      url:https://github.com/rhshadrach
      name:rhshadrach
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