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Keywords {🔍}

string, saturnfromtitan, commented, boomsquared, willayd, type, sign, pandas, nan, strings, stringmethods, added, data, code, projects, seriesstrcatseriesstr, concatenating, largest, issue, expect, object, output, mentioned, bug, contributor, milestone, navigation, pull, requests, actions, security, description, kayusho, klllmklllm, dtype, problem, expected, tomaugspurger, islistlike, iterator, extension, error, reporting, incorrect, improved, errors, assigned, seriesstriter, github, footer,

Topics {✒️}

string data type activity kayush2o6 mentioned strings element wise check invalid type add additional condition comment metadata assignees type projects pass stringmethods object largest string personal information `series projects milestone import pandas added futurewarning boomsquared mentioned milestone relationships object output [bug] github strings passing stringmethods stringmethods implements copy-pastable expected output is_list_like results is_list_like implementation improved errors code iterator protocol pr discussion expect = ps problem series pd =ps arr expect iterator pr skip jump sign str cat concatenating abc de fghi klllm print concatenate

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DiscussionForumPosting:
      context:https://schema.org
      headline:`series.str.cat(series.str)` is concatenating only the largest string
      articleBody:#### Code Sample, a copy-pastable example if possible ```python import pandas as pd arr = ["AbC", "de", "FGHI", "j", "kLLLm"] ps = pd.Series(arr) expect = ps.str.cat(others=ps.str) print(expect) Out[16]: 0 NaN 1 NaN 2 NaN 3 NaN 4 kLLLmkLLLm dtype: object ``` #### Problem description `series.str.cat(series.str)` is concatenating only the largest string in the series but it should concatenate all the strings element wise. #### Expected Output ```python Out[18]: 0 AbCAbC 1 dede 2 FGHIFGHI 3 jj 4 kLLLmkLLLm dtype: object ``` #### Output of ``pd.show_versions()`` <details> In [2]: pandas.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.7.3.final.0 python-bits: 64 OS: Linux OS-release: 3.10.0-862.14.4.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: None LOCALE: en_US.UTF-8 pandas: 0.24.2 pytest: 5.1.2 pip: 19.2.3 setuptools: 41.2.0 Cython: 0.29.13 numpy: 1.17.1 scipy: None pyarrow: 0.14.1 xarray: None IPython: 7.8.0 sphinx: 2.2.0 patsy: None dateutil: 2.8.0 pytz: 2019.2 blosc: None bottleneck: None tables: None numexpr: None feather: None matplotlib: None openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml.etree: None bs4: None html5lib: None sqlalchemy: None pymysql: None psycopg2: None jinja2: 2.10.1 s3fs: 0.3.4 fastparquet: None pandas_gbq: None pandas_datareader: None gcsfs: None </details>
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      datePublished:2019-09-04T05:11:59.000Z
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      url:https://github.com/28277/pandas/issues/28277
      context:https://schema.org
      headline:`series.str.cat(series.str)` is concatenating only the largest string
      articleBody:#### Code Sample, a copy-pastable example if possible ```python import pandas as pd arr = ["AbC", "de", "FGHI", "j", "kLLLm"] ps = pd.Series(arr) expect = ps.str.cat(others=ps.str) print(expect) Out[16]: 0 NaN 1 NaN 2 NaN 3 NaN 4 kLLLmkLLLm dtype: object ``` #### Problem description `series.str.cat(series.str)` is concatenating only the largest string in the series but it should concatenate all the strings element wise. #### Expected Output ```python Out[18]: 0 AbCAbC 1 dede 2 FGHIFGHI 3 jj 4 kLLLmkLLLm dtype: object ``` #### Output of ``pd.show_versions()`` <details> In [2]: pandas.show_versions() INSTALLED VERSIONS ------------------ commit: None python: 3.7.3.final.0 python-bits: 64 OS: Linux OS-release: 3.10.0-862.14.4.el7.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: None LOCALE: en_US.UTF-8 pandas: 0.24.2 pytest: 5.1.2 pip: 19.2.3 setuptools: 41.2.0 Cython: 0.29.13 numpy: 1.17.1 scipy: None pyarrow: 0.14.1 xarray: None IPython: 7.8.0 sphinx: 2.2.0 patsy: None dateutil: 2.8.0 pytz: 2019.2 blosc: None bottleneck: None tables: None numexpr: None feather: None matplotlib: None openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml.etree: None bs4: None html5lib: None sqlalchemy: None pymysql: None psycopg2: None jinja2: 2.10.1 s3fs: 0.3.4 fastparquet: None pandas_gbq: None pandas_datareader: None gcsfs: None </details>
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      url:https://github.com/28277/pandas/issues/28277
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