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Keywords {🔍}

dtype, bool, true, series, date, jreback, pandas, fabricedeschatres, sign, version, type, conversions, projects, preserving, issue, closed, false, output, commented, object, bug, navigation, code, pull, requests, actions, security, seriesasof, description, import, seriestrue, indexdate, asof, float, nan, seriesasofdate, added, unexpected, buggy, difficulty, intermediate, effort, low, milestone, author, jbrockmendel, github, footer, skip, content,

Topics {✒️}

projects milestone 1 pandas import series comment metadata assignees personal information series type projects datetime import date object dtype bool output 2017-04-01 true dtype native dtype bug class type print series empty series original series copy-pastable mind deleting 100% complete relationships pandas 0 pandas dtype 5 closed github index=[date older version object output bool false series [true true] true nan nan asof date [date sign version 0 skip jump __name__ == __main__ found preserved pd show_versions works incoming

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• Why would you expect an empty series?

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DiscussionForumPosting:
      context:https://schema.org
      headline:Series.asof not preserving dtype
      articleBody:#### Code Sample, a copy-pastable example if possible ``` from pandas import Series from datetime import date if __name__ == "__main__": series = Series([True, False, True], index=[date(2017,1,1), date(2017,2,1), date(2017,3,1)]) print series.dtype, series.asof([date(2017,4,1)]).dtype ``` #### Problem description With Pandas 0.19.2, I found that dtype was not preserved with asof (bool -> float64), whereas older version of Pandas (ex: version 0.18.0), was preserving bool type #### Expected Output bool, bool #### Output of ``pd.show_versions()`` <details> INSTALLED VERSIONS ------------------ commit: None python: 2.7.12.final.0 python-bits: 64 OS: Windows OS-release: 7 machine: AMD64 processor: Intel64 Family 6 Model 44 Stepping 2, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None pandas: 0.19.2 nose: 1.3.7 pip: 8.1.2 setuptools: 23.0.0 Cython: 0.23.4 numpy: 1.12.1 scipy: 0.19.0 statsmodels: 0.8.0 xarray: None IPython: 4.0.1 sphinx: None patsy: 0.4.1 dateutil: 2.5.3 pytz: 2016.4 blosc: None bottleneck: None tables: None numexpr: 2.6.2 matplotlib: 2.0.0 openpyxl: 2.3.4 xlrd: None xlwt: None xlsxwriter: None lxml: 3.6.1 bs4: None html5lib: None httplib2: None apiclient: None sqlalchemy: None pymysql: None psycopg2: None jinja2: 2.8 boto: None pandas_datareader: None None </details>
      author:
         url:https://github.com/fabrice-deschatres
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      datePublished:2017-04-20T09:53:13.000Z
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      url:https://github.com/16063/pandas/issues/16063
      context:https://schema.org
      headline:Series.asof not preserving dtype
      articleBody:#### Code Sample, a copy-pastable example if possible ``` from pandas import Series from datetime import date if __name__ == "__main__": series = Series([True, False, True], index=[date(2017,1,1), date(2017,2,1), date(2017,3,1)]) print series.dtype, series.asof([date(2017,4,1)]).dtype ``` #### Problem description With Pandas 0.19.2, I found that dtype was not preserved with asof (bool -> float64), whereas older version of Pandas (ex: version 0.18.0), was preserving bool type #### Expected Output bool, bool #### Output of ``pd.show_versions()`` <details> INSTALLED VERSIONS ------------------ commit: None python: 2.7.12.final.0 python-bits: 64 OS: Windows OS-release: 7 machine: AMD64 processor: Intel64 Family 6 Model 44 Stepping 2, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None pandas: 0.19.2 nose: 1.3.7 pip: 8.1.2 setuptools: 23.0.0 Cython: 0.23.4 numpy: 1.12.1 scipy: 0.19.0 statsmodels: 0.8.0 xarray: None IPython: 4.0.1 sphinx: None patsy: 0.4.1 dateutil: 2.5.3 pytz: 2016.4 blosc: None bottleneck: None tables: None numexpr: 2.6.2 matplotlib: 2.0.0 openpyxl: 2.3.4 xlrd: None xlwt: None xlsxwriter: None lxml: 3.6.1 bs4: None html5lib: None httplib2: None apiclient: None sqlalchemy: None pymysql: None psycopg2: None jinja2: 2.8 boto: None pandas_datareader: None None </details>
      author:
         url:https://github.com/fabrice-deschatres
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