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Keywords {🔍}

strreplace, character, willayd, regex, commented, replace, thibtrip, case, pandas, bug, string, alarangeiras, behavior, issue, true, added, change, sign, expected, data, type, contributor, method, len, noted, confusion, comment, back, otherstring, code, pull, projects, closed, abc, default, strings, member, workaround, investigation, milestone, mentioned, pattern, lenpat, liam, special, navigation, requests, actions, security, description,

Topics {✒️}

org/pandas-docs/stable/contributing pandas/pandas/core/strings string data type regex=false default kwarg liam3851 edits contributor main remaining issue type projects projects milestone 2 good starting point personal information str empty strings comment metadata assignees pull request pattern size greater change behavior immediately import pandas starting point contributing guide object output willayd issue acceptable change regex = true regex=true regex unspecified regex pattern regex argument wildcard expression def str_replace string= added potential confusion agree inconsistent current documentation confusion outlined deprecation cycle production users strip periods string charlesdong1991 mentioned 100% complete relationships expected output code showing str single character special character method str_replace method considered test case back compat

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• ','') should replace every character?
• Already have an account?
• I fixed and tested this change, can i make a PR?
• I think that's probably very rare in anything but the toy use case listed here?
• Is that a bug or is there something I don't understand?

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      headline:str.replace('.','') should replace every character?
      articleBody:#### Code Sample (pandas 0.23.0) In [1]: ``` import pandas as pd s = pd.Series(['abc','123']) s.str.replace('.','',regex = True) ``` Out [1]: ``` 0 abc 1 123 dtype: object ``` #### Problem description Hi everyone, I was showing str.replace to a colleague and how it uses regex by default and when I entered pd.Series.str.replace('.','') I expected every character to be removed but instead nothing happened. Is that a bug or is there something I don't understand? #### Expected Output: empty strings "" Out [1]: ``` 0 1 dtype: object ``` #### Output of pandas 0.23.0 <details> INSTALLED VERSIONS ------------------ commit: None python: 3.6.5.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 85 Stepping 4, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None pandas: 0.23.0 pytest: 3.5.1 pip: 18.0 setuptools: 39.1.0 Cython: 0.28.2 numpy: 1.15.4 scipy: 1.1.0 pyarrow: None xarray: None IPython: 7.1.1 sphinx: 1.7.4 patsy: 0.5.0 dateutil: 2.7.3 pytz: 2018.5 blosc: None bottleneck: 1.2.1 tables: 3.4.3 numexpr: 2.6.5 feather: None matplotlib: 2.2.2 openpyxl: 2.4.11 xlrd: 1.1.0 xlwt: 1.3.0 xlsxwriter: 1.0.4 lxml: 4.2.3 bs4: 4.6.0 html5lib: 1.0.1 sqlalchemy: 1.1.18 pymysql: None psycopg2: 2.7.5 (dt dec pq3 ext lo64) jinja2: 2.10 s3fs: None fastparquet: None pandas_gbq: None pandas_datareader: None </details>
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      articleBody:#### Code Sample (pandas 0.23.0) In [1]: ``` import pandas as pd s = pd.Series(['abc','123']) s.str.replace('.','',regex = True) ``` Out [1]: ``` 0 abc 1 123 dtype: object ``` #### Problem description Hi everyone, I was showing str.replace to a colleague and how it uses regex by default and when I entered pd.Series.str.replace('.','') I expected every character to be removed but instead nothing happened. Is that a bug or is there something I don't understand? #### Expected Output: empty strings "" Out [1]: ``` 0 1 dtype: object ``` #### Output of pandas 0.23.0 <details> INSTALLED VERSIONS ------------------ commit: None python: 3.6.5.final.0 python-bits: 64 OS: Windows OS-release: 10 machine: AMD64 processor: Intel64 Family 6 Model 85 Stepping 4, GenuineIntel byteorder: little LC_ALL: None LANG: None LOCALE: None.None pandas: 0.23.0 pytest: 3.5.1 pip: 18.0 setuptools: 39.1.0 Cython: 0.28.2 numpy: 1.15.4 scipy: 1.1.0 pyarrow: None xarray: None IPython: 7.1.1 sphinx: 1.7.4 patsy: 0.5.0 dateutil: 2.7.3 pytz: 2018.5 blosc: None bottleneck: 1.2.1 tables: 3.4.3 numexpr: 2.6.5 feather: None matplotlib: 2.2.2 openpyxl: 2.4.11 xlrd: 1.1.0 xlwt: 1.3.0 xlsxwriter: 1.0.4 lxml: 4.2.3 bs4: 4.6.0 html5lib: 1.0.1 sqlalchemy: 1.1.18 pymysql: None psycopg2: 2.7.5 (dt dec pq3 ext lo64) jinja2: 2.10 s3fs: None fastparquet: None pandas_gbq: None pandas_datareader: None </details>
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