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Keywords {🔍}

nan, vamsivermas, issue, pdna, pandas, bug, phofl, result, col, type, npnan, expected, added, commented, values, sign, differences, nullable, pdseries, dtypeint, contributor, mask, test, projects, pdcompare, recognize, int, data, closed, member, related, eaad, pddataframea, considered, navigation, pull, requests, actions, security, description, sergiykhan, version, confirmed, exists, import, difference, triage, reviewed, team, maskedarrays,

Topics {✒️}

pandas/pandas/tests/frame/methods/test_compare added additional tests nullable extension arrays commented vamsi-verma personal information bug makes sense type projects issue description fill na values import pandas phofl closed existing test compares vamsi-verma latest version pd import numpy add tests 2 nan values bug exists projects milestone 2 triage issue pandas dtype='int64' related added comparing values na result main branch simply determine naive solution def test_compare_ea_and_np_dtype behave differently def test_compare_with_equal_nulls bug github 100% complete relationships recognize differences issue 0 closed result = df1 result = df expected behavior missing/ignoring keep_shape=true index=indices columns=columns df1 = pd reason pd df = pd indices = pd int64

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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: pd.compare does not recognize differences with the nullable Int64 data type
      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 pandas as pd import numpy as np x = pd.Series([1, 2, np.NaN], dtype='Int64') y = pd.Series([1, 2, 3], dtype='Int64') x.compare(y) ``` ### Issue Description `.compare` does not return the difference between two Series Result: ``` self other ``` ### Expected Behavior ``` self other 2 NaN 3 ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.9.14.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 : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.0 numpy : 1.23.2 pytz : 2022.2.1 dateutil : 2.8.2 setuptools : 65.0.0 pip : 22.2.2 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : 2.9.3 jinja2 : 3.1.2 IPython : 8.4.0 pandas_datareader: None bs4 : None bottleneck : None brotli : 1.0.9 fastparquet : None fsspec : None gcsfs : None matplotlib : 3.5.3 numba : None numexpr : None odfpy : None openpyxl : 3.0.10 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None snappy : None sqlalchemy : 1.4.40 tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : 2022.2 </details>
      author:
         url:https://github.com/sergiykhan
         type:Person
         name:sergiykhan
      datePublished:2022-10-04T18:54:38.000Z
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      url:https://github.com/48939/pandas/issues/48939
      context:https://schema.org
      headline:BUG: pd.compare does not recognize differences with the nullable Int64 data type
      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 pandas as pd import numpy as np x = pd.Series([1, 2, np.NaN], dtype='Int64') y = pd.Series([1, 2, 3], dtype='Int64') x.compare(y) ``` ### Issue Description `.compare` does not return the difference between two Series Result: ``` self other ``` ### Expected Behavior ``` self other 2 NaN 3 ``` ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 87cfe4e38bafe7300a6003a1d18bd80f3f77c763 python : 3.9.14.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 : en_US.UTF-8 LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.5.0 numpy : 1.23.2 pytz : 2022.2.1 dateutil : 2.8.2 setuptools : 65.0.0 pip : 22.2.2 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None pymysql : None psycopg2 : 2.9.3 jinja2 : 3.1.2 IPython : 8.4.0 pandas_datareader: None bs4 : None bottleneck : None brotli : 1.0.9 fastparquet : None fsspec : None gcsfs : None matplotlib : 3.5.3 numba : None numexpr : None odfpy : None openpyxl : 3.0.10 pandas_gbq : None pyarrow : None pyreadstat : None pyxlsb : None s3fs : None scipy : None snappy : None sqlalchemy : 1.4.40 tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : None tzdata : 2022.2 </details>
      author:
         url:https://github.com/sergiykhan
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         name:sergiykhan
      datePublished:2022-10-04T18:54:38.000Z
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      url:https://github.com/48939/pandas/issues/48939
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      url:https://github.com/sergiykhan
      name:sergiykhan
      url:https://github.com/sergiykhan
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