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Keywords {🔍}

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string data type activity alkamid changed 9d1a0d5 atulagrwl mentioned comment metadata assignees type projects projects milestone personal information series resulting strings standard library' 1fc6467 jreback modified milestone relationships object output problem area expect series fixing series align series behaves differently copy-pastable special characters issue result = str_pad side='left' github behave differently bug str methods series left methods result behave str skip jump sign zfill = pd treat '+' move feature find rationale behaviour affects pad rjust center pd show_versions watch

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DiscussionForumPosting:
      context:https://schema.org
      headline:Series.str.zfill() behaves differently than str.zfill() from standard library
      articleBody:#### Code Sample, a copy-pastable example if possible ```python # Pandas >>> s = pd.Series(['-2', '+5']) >>> s.str.zfill(5) 0 000-2 1 000+5 dtype: object # Python 3.6 >>> '-2'.zfill(5) '-0002' >>> '+5'.zfill(5) '+0005' ``` #### Problem description People used to the standard library's `str` methods may expect `Series.str.zfill()` to behave differently, i.e. to treat '+' and '-' as special characters and move them to the left of the resulting strings if necessary. This could be a feature, not a bug, but I couldn't find any rationale behind this behaviour. This issue also affects the following methods from `Series.str`: `pad`, `rjust`, `center`. #### Expected Output ```python # Pandas >>> s = pd.Series(['-2', '+5']) >>> s.str.zfill(5) 0 -0002 1 +0005 dtype: object ``` #### Output of ``pd.show_versions()`` <details> INSTALLED VERSIONS ------------------ commit: 563a6ad108a79b0192a25d51d743812a18e21b15 python: 3.6.5.final.0 python-bits: 64 OS: Linux OS-release: 3.13.0-39-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 pandas: 0.23.0.dev0+807.g563a6ad pytest: 3.5.0 pip: 9.0.3 setuptools: 39.0.1 Cython: 0.28.2 numpy: 1.14.2 scipy: 1.0.1 pyarrow: 0.9.0 xarray: 0.10.3 IPython: 6.3.1 sphinx: 1.7.3 patsy: 0.5.0 dateutil: 2.7.2 pytz: 2018.4 blosc: None bottleneck: 1.2.1 tables: 3.4.3 numexpr: 2.6.4 feather: 0.4.0 matplotlib: 2.2.2 openpyxl: 2.5.3 xlrd: 1.1.0 xlwt: 1.3.0 xlsxwriter: 1.0.4 lxml: 4.2.1 bs4: 4.6.0 html5lib: 1.0.1 sqlalchemy: 1.2.7 pymysql: 0.8.0 psycopg2: None jinja2: 2.10 s3fs: 0.1.4 fastparquet: 0.1.5 pandas_gbq: None pandas_datareader: None </details>
      author:
         url:https://github.com/alkamid
         type:Person
         name:alkamid
      datePublished:2018-04-29T16:35:59.000Z
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      url:https://github.com/20868/pandas/issues/20868
      context:https://schema.org
      headline:Series.str.zfill() behaves differently than str.zfill() from standard library
      articleBody:#### Code Sample, a copy-pastable example if possible ```python # Pandas >>> s = pd.Series(['-2', '+5']) >>> s.str.zfill(5) 0 000-2 1 000+5 dtype: object # Python 3.6 >>> '-2'.zfill(5) '-0002' >>> '+5'.zfill(5) '+0005' ``` #### Problem description People used to the standard library's `str` methods may expect `Series.str.zfill()` to behave differently, i.e. to treat '+' and '-' as special characters and move them to the left of the resulting strings if necessary. This could be a feature, not a bug, but I couldn't find any rationale behind this behaviour. This issue also affects the following methods from `Series.str`: `pad`, `rjust`, `center`. #### Expected Output ```python # Pandas >>> s = pd.Series(['-2', '+5']) >>> s.str.zfill(5) 0 -0002 1 +0005 dtype: object ``` #### Output of ``pd.show_versions()`` <details> INSTALLED VERSIONS ------------------ commit: 563a6ad108a79b0192a25d51d743812a18e21b15 python: 3.6.5.final.0 python-bits: 64 OS: Linux OS-release: 3.13.0-39-generic machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_GB.UTF-8 LOCALE: en_GB.UTF-8 pandas: 0.23.0.dev0+807.g563a6ad pytest: 3.5.0 pip: 9.0.3 setuptools: 39.0.1 Cython: 0.28.2 numpy: 1.14.2 scipy: 1.0.1 pyarrow: 0.9.0 xarray: 0.10.3 IPython: 6.3.1 sphinx: 1.7.3 patsy: 0.5.0 dateutil: 2.7.2 pytz: 2018.4 blosc: None bottleneck: 1.2.1 tables: 3.4.3 numexpr: 2.6.4 feather: 0.4.0 matplotlib: 2.2.2 openpyxl: 2.5.3 xlrd: 1.1.0 xlwt: 1.3.0 xlsxwriter: 1.0.4 lxml: 4.2.1 bs4: 4.6.0 html5lib: 1.0.1 sqlalchemy: 1.2.7 pymysql: 0.8.0 psycopg2: None jinja2: 2.10 s3fs: 0.1.4 fastparquet: 0.1.5 pandas_gbq: None pandas_datareader: None </details>
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