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FutureWarning: The default value of regex will change from True to False in a future version, The default value of regex will change from True to False in a future version, FutureWarning: The default value of regex will change from True to False, FutureWarning: The default value of regex, regex will change from True to False in a future version

[Solved] FutureWarning: The default value of regex will change from True to False in a future version

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Hello Guys, How are you all? Hope You all Are Fine. I am replacing all special characters from the string but it gives me the following error FutureWarning: The default value of regex will change from True to False in a future version in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Contents
  1. How FutureWarning: The default value of regex will change from True to False in a future version Error Occurs ?
  2. How To Solve FutureWarning: The default value of regex will change from True to False in a future version Error ?
  3. Solution 1
  4. Summery

How FutureWarning: The default value of regex will change from True to False in a future version Error Occurs ?

I am replacing all special characters from the string Here is my code.

tmp = pd.DataFrame(['My name is xyz and my email is myname@gmail.com and my phone number/ is +78XXXXXXXX'])

tmp[0].str.replace(not_regex('(\\b[-/]\\b|[a-zA-Z0-9])'), ' ')

How To Solve FutureWarning: The default value of regex will change from True to False in a future version Error ?

  1. How To Solve FutureWarning: The default value of regex will change from True to False in a future version Error ?

    To Solve FutureWarning: The default value of regex will change from True to False in a future version Error The default value of regex for Series.str.replace() will change from True to False in a future release. In addition, single character regular expressions will not be treated as literal strings when regex=True is set (GH24804) so that Just  use regular expressions explicitly now.

Solution 1

Just  use regular expressions explicitly now:

dframe['colname'] = dframe['colname'].str.replace(r'\D+', regex=True)

The default value of regex for Series.str.replace() will change from True to False in a future release. In addition, single character regular expressions will not be treated as literal strings when regex=True is set (GH24804)

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?

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