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We are analyzing https://github.com/pandas-dev/pandas/issues/46396.

Title:
BUG: join: ValueError: Indexes have overlapping values Β· Issue #46396 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 imp...
Website Age:
17 years and 8 months (reg. 2007-10-09).

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Github.com utilizes WORDPRESS.

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


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Prices on github.com are in US Dollars ($). They range from $4.00/month to $21.00/month.
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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”}

issue, bwozniak, pandas, bug, join, anmyachev, sappersapper, sign, valueerror, testjointest, lsuffixb, added, commented, parameters, list, dataframe, projects, indexes, overlapping, values, closed, branch, test, behavior, merge, suffixes, contributor, case, colb, jreback, navigation, solutions, open, source, pull, requests, actions, security, description, version, confirmed, exists, result, triage, reviewed, team, member, account, lines, joined,

Topics {βœ’οΈ}

open source contributing pandas/pandas/core/frame personal information bug reasonable solutions projects milestone 1 calling join function bwozniak27 mentioned latest version sappersapper edits overlapping values import pandas bug exists add 'suffixes' parameters type projects triage issue github 5 closed expected behavior behavior similar pandas comment bug 'suffixes' parameters notes ----- parameters dataframe objects dataframe array simple dataframe dtype='object' left_index=true right_index=true added explicit error user attempts stack/unstack 100% complete relationships issue suffix parameters explode type main branch joined = merge merge/join join valueerror frame dataframe col1 ['col1'] add suffixes list merge

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Questions {❓}

  • Already have an account?
  • Should this operation be allowed?
  • Since the suffixes are added for the sake of differentiating the columns when merged, how would that work with an DataFrame array of size > 1?
  • Join([test, test], lsuffix="b") ?
  • Or add 'suffixes' parameters to merge() in 'else:' branch ?

Schema {πŸ—ΊοΈ}

DiscussionForumPosting:
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      headline:BUG: join: ValueError: Indexes have overlapping values
      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 test = pandas.DataFrame({"col1": [1,2]}) test.join(test, lsuffix="b") # OK test.join([test], lsuffix="b") # failed # *** ValueError: Indexes have overlapping values: Index(['col1'], dtype='object') ``` ### Issue Description Unexpected behavior. ### Expected Behavior The result of calling `join` function in the cases above should lead to the same result. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.8.12.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19044 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.4.1 numpy : 1.22.2 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.3 setuptools : 59.8.0 Cython : None pytest : 7.0.0 hypothesis : None sphinx : 4.4.0 blosc : None feather : 0.4.1 xlsxwriter : None lxml.etree : 4.7.1 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.3 IPython : 8.0.1 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : 2022.01.0 gcsfs : None matplotlib : 3.2.2 numba : None numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : 0.17.0 pyarrow : 6.0.1 pyreadstat : None pyxlsb : None s3fs : 2022.01.0 scipy : 1.8.0 sqlalchemy : 1.4.31 tables : 3.7.0 tabulate : None xarray : 0.21.1 xlrd : 2.0.1 xlwt : None zstandard : None </details>
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      url:https://github.com/46396/pandas/issues/46396
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      headline:BUG: join: ValueError: Indexes have overlapping values
      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 test = pandas.DataFrame({"col1": [1,2]}) test.join(test, lsuffix="b") # OK test.join([test], lsuffix="b") # failed # *** ValueError: Indexes have overlapping values: Index(['col1'], dtype='object') ``` ### Issue Description Unexpected behavior. ### Expected Behavior The result of calling `join` function in the cases above should lead to the same result. ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 06d230151e6f18fdb8139d09abf539867a8cd481 python : 3.8.12.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.19044 machine : AMD64 processor : Intel64 Family 6 Model 142 Stepping 12, GenuineIntel byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 1.4.1 numpy : 1.22.2 pytz : 2021.3 dateutil : 2.8.2 pip : 22.0.3 setuptools : 59.8.0 Cython : None pytest : 7.0.0 hypothesis : None sphinx : 4.4.0 blosc : None feather : 0.4.1 xlsxwriter : None lxml.etree : 4.7.1 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.3 IPython : 8.0.1 pandas_datareader: None bs4 : None bottleneck : None fastparquet : None fsspec : 2022.01.0 gcsfs : None matplotlib : 3.2.2 numba : None numexpr : 2.7.3 odfpy : None openpyxl : 3.0.9 pandas_gbq : 0.17.0 pyarrow : 6.0.1 pyreadstat : None pyxlsb : None s3fs : 2022.01.0 scipy : 1.8.0 sqlalchemy : 1.4.31 tables : 3.7.0 tabulate : None xarray : 0.21.1 xlrd : 2.0.1 xlwt : None zstandard : None </details>
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      url:https://github.com/46396/pandas/issues/46396
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