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We are analyzing https://github.com/pandas-dev/pandas/issues/45414.

Title:
BUG: resample on TimedeltaIndex with `closed=right` takes no effect · Issue #45414 · pandas-dev/pandas
Description:
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example In ...
Website Age:
17 years and 8 months (reg. 2007-10-09).

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Keywords {🔍}

days, pandas, bug, resample, issue, closedright, dtype, int, sign, index, series, seriesresamplet, freq, projects, timedeltaindex, takes, effect, closed, closedleft, added, navigation, pull, requests, actions, security, description, tfiasco, version, confirmed, exists, pdseriespdtimedeltaseconds, range, pdseriesrange, indexindex, labelleftsum, labelrightsum, expected, behavior, triage, reviewed, team, member, attack, jreback, milestone, method, github, type, footer, skip,

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personal information bug comment metadata assignees resample ignoring closed= type projects projects milestone 1 latest version import pandas bug exists triage issue pandas closed='left' closed=left index=index bug issue main branch index = pd expected behavior 100% complete relationships label='left' github argument takes resample series = pd closed= closed=' 5 closed `closed= int64 effect pd [pd timedeltaindex label=' takes ` takes sign series skip jump checked reported confirmed reproducible timedelta seconds=120 + range 0 days 00 't' sum

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      headline:BUG: resample on TimedeltaIndex with `closed=right` takes no effect
      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 In [1]: import pandas as pd In [2]: index = pd.Series([pd.Timedelta(seconds=120 + i * 30) for i in range(10)]) In [3]: series = pd.Series(range(10), index=index) In [4]: series Out[4]: 0 days 00:02:00 0 0 days 00:02:30 1 0 days 00:03:00 2 0 days 00:03:30 3 0 days 00:04:00 4 0 days 00:04:30 5 0 days 00:05:00 6 0 days 00:05:30 7 0 days 00:06:00 8 0 days 00:06:30 9 dtype: int64 In [5]: series.resample('T', closed='left', label='left').sum() Out[5]: 0 days 00:02:00 1 0 days 00:03:00 5 0 days 00:04:00 9 0 days 00:05:00 13 0 days 00:06:00 17 Freq: T, dtype: int64 In [6]: series.resample('T', closed='right', label='right').sum() # WRONG! Out[6]: 0 days 00:02:00 1 0 days 00:03:00 5 0 days 00:04:00 9 0 days 00:05:00 13 0 days 00:06:00 17 Freq: T, dtype: int64 ``` ### Issue Description `closed=right` argument takes no effect, the output is same as `closed=left`. ### Expected Behavior The same computation on a `DatetimeIndex`, which is the expected behavior: ```python In [7]: index = pd.Series([pd.Timedelta(seconds=120 + i * 30) for i in range(10)]) In [8]: index = index + pd.to_datetime('2000-01-01') In [9]: series = pd.Series(range(10), index=index) In [10]: series Out[10]: 2000-01-01 00:02:00 0 2000-01-01 00:02:30 1 2000-01-01 00:03:00 2 2000-01-01 00:03:30 3 2000-01-01 00:04:00 4 2000-01-01 00:04:30 5 2000-01-01 00:05:00 6 2000-01-01 00:05:30 7 2000-01-01 00:06:00 8 2000-01-01 00:06:30 9 dtype: int64 In [11]: series.resample('T', closed='left', label='left').sum() Out[11]: 2000-01-01 00:02:00 1 2000-01-01 00:03:00 5 2000-01-01 00:04:00 9 2000-01-01 00:05:00 13 2000-01-01 00:06:00 17 Freq: T, dtype: int64 In [12]: series.resample('T', closed='right', label='right').sum() # RIGHT Out[12]: 2000-01-01 00:02:00 0 2000-01-01 00:03:00 3 2000-01-01 00:04:00 7 2000-01-01 00:05:00 11 2000-01-01 00:06:00 15 2000-01-01 00:07:00 9 Freq: T, dtype: int64 ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 66e3805b8cabe977f40c05259cc3fcf7ead5687d python : 3.8.8.final.0 python-bits : 64 OS : Linux OS-release : 4.9.130-0409130-generic Version : #201809291131 SMP Sat Sep 29 11:33:40 UTC 2018 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : None LOCALE : en_US.UTF-8 pandas : 1.3.5 numpy : 1.19.5 pytz : 2021.1 dateutil : 2.8.1 pip : 21.0.1 setuptools : 52.0.0.post20210125 Cython : None pytest : 6.2.3 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : 1.0.2 psycopg2 : None jinja2 : 2.11.3 IPython : 7.22.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 0.9.0 fastparquet : 0.7.1 gcsfs : None matplotlib : 3.3.4 numexpr : None odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : 6.0.1 pyxlsb : None s3fs : None scipy : 1.6.2 sqlalchemy : 1.4.23 tables : None tabulate : 0.8.9 xarray : 0.19.0 xlrd : 2.0.1 xlwt : None numba : 0.53.1 </details>
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      headline:BUG: resample on TimedeltaIndex with `closed=right` takes no effect
      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 In [1]: import pandas as pd In [2]: index = pd.Series([pd.Timedelta(seconds=120 + i * 30) for i in range(10)]) In [3]: series = pd.Series(range(10), index=index) In [4]: series Out[4]: 0 days 00:02:00 0 0 days 00:02:30 1 0 days 00:03:00 2 0 days 00:03:30 3 0 days 00:04:00 4 0 days 00:04:30 5 0 days 00:05:00 6 0 days 00:05:30 7 0 days 00:06:00 8 0 days 00:06:30 9 dtype: int64 In [5]: series.resample('T', closed='left', label='left').sum() Out[5]: 0 days 00:02:00 1 0 days 00:03:00 5 0 days 00:04:00 9 0 days 00:05:00 13 0 days 00:06:00 17 Freq: T, dtype: int64 In [6]: series.resample('T', closed='right', label='right').sum() # WRONG! Out[6]: 0 days 00:02:00 1 0 days 00:03:00 5 0 days 00:04:00 9 0 days 00:05:00 13 0 days 00:06:00 17 Freq: T, dtype: int64 ``` ### Issue Description `closed=right` argument takes no effect, the output is same as `closed=left`. ### Expected Behavior The same computation on a `DatetimeIndex`, which is the expected behavior: ```python In [7]: index = pd.Series([pd.Timedelta(seconds=120 + i * 30) for i in range(10)]) In [8]: index = index + pd.to_datetime('2000-01-01') In [9]: series = pd.Series(range(10), index=index) In [10]: series Out[10]: 2000-01-01 00:02:00 0 2000-01-01 00:02:30 1 2000-01-01 00:03:00 2 2000-01-01 00:03:30 3 2000-01-01 00:04:00 4 2000-01-01 00:04:30 5 2000-01-01 00:05:00 6 2000-01-01 00:05:30 7 2000-01-01 00:06:00 8 2000-01-01 00:06:30 9 dtype: int64 In [11]: series.resample('T', closed='left', label='left').sum() Out[11]: 2000-01-01 00:02:00 1 2000-01-01 00:03:00 5 2000-01-01 00:04:00 9 2000-01-01 00:05:00 13 2000-01-01 00:06:00 17 Freq: T, dtype: int64 In [12]: series.resample('T', closed='right', label='right').sum() # RIGHT Out[12]: 2000-01-01 00:02:00 0 2000-01-01 00:03:00 3 2000-01-01 00:04:00 7 2000-01-01 00:05:00 11 2000-01-01 00:06:00 15 2000-01-01 00:07:00 9 Freq: T, dtype: int64 ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 66e3805b8cabe977f40c05259cc3fcf7ead5687d python : 3.8.8.final.0 python-bits : 64 OS : Linux OS-release : 4.9.130-0409130-generic Version : #201809291131 SMP Sat Sep 29 11:33:40 UTC 2018 machine : x86_64 processor : byteorder : little LC_ALL : None LANG : None LOCALE : en_US.UTF-8 pandas : 1.3.5 numpy : 1.19.5 pytz : 2021.1 dateutil : 2.8.1 pip : 21.0.1 setuptools : 52.0.0.post20210125 Cython : None pytest : 6.2.3 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : 1.0.2 psycopg2 : None jinja2 : 2.11.3 IPython : 7.22.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : 0.9.0 fastparquet : 0.7.1 gcsfs : None matplotlib : 3.3.4 numexpr : None odfpy : None openpyxl : 3.0.7 pandas_gbq : None pyarrow : 6.0.1 pyxlsb : None s3fs : None scipy : 1.6.2 sqlalchemy : 1.4.23 tables : None tabulate : 0.8.9 xarray : 0.19.0 xlrd : 2.0.1 xlwt : None numba : 0.53.1 </details>
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