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We are analyzing https://github.com/pandas-dev/pandas/issues/49075.

Title:
BUG: `USFederalHolidayCalendar.holidays` inconsistently returns Index and not DateTimeIndex Β· Issue #49075 Β· 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 >>>...
Website Age:
17 years and 8 months (reg. 2007-10-09).

Matching Content Categories {πŸ“š}

  • Personal Finance
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Content Management System {πŸ“}

What CMS is github.com built with?


Github.com uses WORDPRESS.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of github.com audience?

πŸš€πŸŒ  Tremendous Traffic: 10M - 20M visitors per month


Based on our best estimate, this website will receive around 10,000,019 visitors per month in the current month.
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Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
We estimate that the site has approximately 4,989,889 paying customers.
The estimated monthly recurring revenue (MRR) is $20,957,532.
The estimated annual recurring revenues (ARR) are $251,490,385.

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Keywords {πŸ”}

datetimeindex, bug, index, calholidaysstartdatetimedate, enddatetimedate, roadswitcher, issue, pandas, type, dtypeobject, dtypedatetimens, freqnone, usfederalholidaycalendar, behavior, sign, usfederalholidaycalendarholidays, inconsistently, returns, austinjpaul, projects, import, expected, mentioned, commented, contributor, holiday, navigation, pull, requests, actions, security, closed, description, version, confirmed, exists, pandastseriesholiday, cal, results, empty, return, triage, reviewed, team, member, original, dates, object, call, range,

Topics {βœ’οΈ}

roadswitcher edits contributor assigned labels bug personal information bug submitters original issue ignores tz info comment metadata assignees issue description dtype='datetime64[ns]' return type discrepancy roadswitcher mentioned latest version mroeschke closed type projects projects milestone triage issue bug exists return type expected behavior cal=usfederalholidaycalendar dtype='object' original request type datetimeindex pandas index object main branch returned result empty results empty results pr irrelevant initial pair calendar object empty list milestone relationships start=datetime end=datetime strange behavior federal holidays issue call fails github bug usfederalholidaycalendar `usfederalholidaycalendar date range holiday index datetimeindex start= end= behavior

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Schema {πŸ—ΊοΈ}

DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: `USFederalHolidayCalendar.holidays` inconsistently returns Index and not DateTimeIndex
      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 of pandas. ### Reproducible Example ```python >>> import datetime >>> from pandas.tseries.holiday import USFederalHolidayCalendar >>> cal = USFederalHolidayCalendar() >>> cal.holidays(start=datetime.date(2018,8,1), end=datetime.date(2018,8,31)) Index([], dtype='object') ``` ### Issue Description The returned result should be type `DatetimeIndex`. Non-empty results are indeed of type `DatetimeIndex`. Furthermore, certain other empty results from other ranges (seen below in expected behavior) also have type `DatetimeIndex`. The return type is inconsistent. ### Expected Behavior ``` >>> cal.holidays(start=datetime.date(2020,8,1), end=datetime.date(2020,8,31)) DatetimeIndex([], dtype='datetime64[ns]', freq=None) >>> cal.holidays(start=datetime.date(2019,8,1), end=datetime.date(2019,8,31)) DatetimeIndex([], dtype='datetime64[ns]', freq=None) ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.10.6.final.0 python-bits : 64 OS : Linux OS-release : 5.10.102.1-microsoft-standard-WSL2 Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.0 numpy : 1.23.3 pytz : 2022.4 dateutil : 2.8.2 setuptools : 65.4.1 pip : 22.2.2 </details>
      author:
         url:https://github.com/austinjpaul
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      datePublished:2022-10-13T21:40:26.000Z
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      url:https://github.com/49075/pandas/issues/49075
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      headline:BUG: `USFederalHolidayCalendar.holidays` inconsistently returns Index and not DateTimeIndex
      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 of pandas. ### Reproducible Example ```python >>> import datetime >>> from pandas.tseries.holiday import USFederalHolidayCalendar >>> cal = USFederalHolidayCalendar() >>> cal.holidays(start=datetime.date(2018,8,1), end=datetime.date(2018,8,31)) Index([], dtype='object') ``` ### Issue Description The returned result should be type `DatetimeIndex`. Non-empty results are indeed of type `DatetimeIndex`. Furthermore, certain other empty results from other ranges (seen below in expected behavior) also have type `DatetimeIndex`. The return type is inconsistent. ### Expected Behavior ``` >>> cal.holidays(start=datetime.date(2020,8,1), end=datetime.date(2020,8,31)) DatetimeIndex([], dtype='datetime64[ns]', freq=None) >>> cal.holidays(start=datetime.date(2019,8,1), end=datetime.date(2019,8,31)) DatetimeIndex([], dtype='datetime64[ns]', freq=None) ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.10.6.final.0 python-bits : 64 OS : Linux OS-release : 5.10.102.1-microsoft-standard-WSL2 Version : #1 SMP Wed Mar 2 00:30:59 UTC 2022 machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : C.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.0 numpy : 1.23.3 pytz : 2022.4 dateutil : 2.8.2 setuptools : 65.4.1 pip : 22.2.2 </details>
      author:
         url:https://github.com/austinjpaul
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         name:austinjpaul
      datePublished:2022-10-13T21:40:26.000Z
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      url:https://github.com/49075/pandas/issues/49075
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      url:https://github.com/austinjpaul
      name:austinjpaul
      url:https://github.com/austinjpaul
      name:austinjpaul
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