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pandas, bug, issue, sign, type, indexing, related, projects, boolean, closed, pdna, added, navigation, pull, requests, actions, security, slice, index, series, description, chiqiao, version, confirmed, exists, valueerror, triage, reviewed, team, member, seriesframes, indexes, maskedarrays, nullable, extension, arrays, jreback, milestone, github, footer, skip, content, menu, product, solutions, resources, open, source, enterprise, pricing,

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'bool'-dtype numpy array nullable extension arrays personal information bug ] issue description comment metadata assignees getitem raising valueerror type projects latest version import pandas projects milestone 1 triage issue bug exists boolean indexer pandas series/frames issue main branch missing values 5 closed 100% complete relationships bug slice index indexing github boolean series na] dtype= valueerror dtype na pd = pd index[ index sign skip jump checked reported confirmed reproducible [true false error convert 'na_value' int64index reviewed indexes

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DiscussionForumPosting:
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      headline:BUG: Cannot slice index using boolean type series
      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 s = pd.Series([True, False, pd.NA], dtype="boolean") s.index[s] ``` ### Issue Description Get the following error: `ValueError: cannot convert to 'bool'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.` ### Expected Behavior Returns `pd.Int64Index([0])` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : bb1f651536508cdfef8550f93ace7849b00046ee python : 3.9.10.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19043 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.4.0 numpy : 1.22.1 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.2 setuptools : 59.8.0 Cython : None pytest : 6.2.5 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : 3.0.2 lxml.etree : 4.7.1 html5lib : None pymysql : 1.0.2 psycopg2 : None jinja2 : 3.0.3 IPython : 7.30.1 pandas_datareader: None bs4 : 4.10.0 bottleneck : None fastparquet : 0.8.0 fsspec : 2021.11.1 gcsfs : None matplotlib : 3.5.1 numba : None numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 3.0.0 pyreadstat : None pyxlsb : None s3fs : 0.4.2 scipy : 1.7.3 sqlalchemy : 1.4.31 tables : 3.7.0 tabulate : 0.8.9 xarray : 0.21.1 xlrd : 2.0.1 xlwt : None zstandard : None </details>
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      datePublished:2022-02-03T19:10:15.000Z
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      url:https://github.com/45806/pandas/issues/45806
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      headline:BUG: Cannot slice index using boolean type series
      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 s = pd.Series([True, False, pd.NA], dtype="boolean") s.index[s] ``` ### Issue Description Get the following error: `ValueError: cannot convert to 'bool'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.` ### Expected Behavior Returns `pd.Int64Index([0])` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : bb1f651536508cdfef8550f93ace7849b00046ee python : 3.9.10.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19043 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 10, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.4.0 numpy : 1.22.1 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.2 setuptools : 59.8.0 Cython : None pytest : 6.2.5 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : 3.0.2 lxml.etree : 4.7.1 html5lib : None pymysql : 1.0.2 psycopg2 : None jinja2 : 3.0.3 IPython : 7.30.1 pandas_datareader: None bs4 : 4.10.0 bottleneck : None fastparquet : 0.8.0 fsspec : 2021.11.1 gcsfs : None matplotlib : 3.5.1 numba : None numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : 3.0.0 pyreadstat : None pyxlsb : None s3fs : 0.4.2 scipy : 1.7.3 sqlalchemy : 1.4.31 tables : 3.7.0 tabulate : 0.8.9 xarray : 0.21.1 xlrd : 2.0.1 xlwt : None zstandard : None </details>
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