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  1. string - strip() vs lstrip() vs rstrip() in Python - Stack Overflow

    lstrip, rstrip and strip remove characters from the left, right and both ends of a string respectively. By default they remove whitespace characters (space, tabs, linebreaks, etc) By default they …

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  3. python - Remove all whitespace in a string - Stack Overflow

    Oct 1, 2016 · sentence= sentence.strip() Remove spaces in the BEGINNING of a string: sentence = sentence.lstrip() Remove spaces in the END of a string: sentence= sentence.rstrip() All three …

  4. python - What does s.strip () do exactly? - Stack Overflow

    Dec 9, 2012 · print(string.strip('sh')) This will print "iv is awesome" But it will become very confusing to strip character like this because it leads to various results like look at the following …

  5. String.strip() in Python - Stack Overflow

    Feb 13, 2015 · Without strip(), you can have empty keys and values: apples<tab>round, fruity things oranges<tab>round, fruity things bananas<tab> Without strip(), bananas is present in …

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  7. python - what does 'if x.strip ( )' mean? - Stack Overflow

    case(1): x.strip() is empty , meaning the user didn't enter anything. In this case x.strip() is False because empty strings are "Falsey" case(2): x.strip() is not empty, meaning the user did enter …

  8. Is there a better way to use strip() on a list of strings? - python

    Aug 29, 2012 · stripped_list = (s.strip() for s in a_list) offers the benefit of lazy evaluation, so the strip only runs when the given element, stripped, is needed. If you need references to the list …

  9. python - Strip / trim all strings of a dataframe - Stack Overflow

    Here's a compact version of using apply with a straightforward lambda expression to call strip only when the value is of a string type: df.apply(lambda x: x.str.strip() if x.dtype == object else x) …

  10. How do you strip a character out of a column in SQL Server?

    Jun 11, 2009 · Replace the "*" with the character you want to strip out and specify your WHERE clause to match the rows you want to apply the update to. Of course, the REPLACE function …

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