Shorten text without abruptly cutting through a word.
How It Works
textwrap.shorten(text, width, placeholder=" [...]") collapses whitespace and truncates at word boundaries when needed. The placeholder length must fit inside width.
Step-by-Step Example
import textwrap
summary = textwrap.shorten('A longer message about package updates', width=24, placeholder='...')
print(len(summary) <= 24)
print(summary.endswith('...'))
Understanding the Example
- The expression "textwrap.shorten('A longer message about package updates', width=24, placeholder='...')" supplies the value stored as 'summary'. This value is then used or checked by the later statements.
- The print() call exposes the result so you can compare it with the behavior described above. Check the value and its type when experimenting.
A successful run of this example prints the following output:
True
True
Where This Fits in a Real Program
Start by writing down examples that should match and examples that must fail. Check whether you need to locate a substring, match a prefix or validate an entire field; these are different operations. Unicode and escape sequences can also change which characters are matched, so test accented text and empty input.
Practice: Try It Yourself
Use string slicing for exact character limits, and shorten for word-aware text.
For this exercise, predict the result before running the changed code. Then explain the difference between the original and modified cases using the actual values, not just whether the program completed.
Further Reading
Read the official Python documentation for complete parameters, return types and exceptions.
Common Beginner Mistakes
- Expecting shorten() to preserve original whitespace or accepting a placeholder longer than width.
- Generate a compact preview label from a long sentence.
Key Takeaways
- Shorten text without abruptly cutting through a word.
- textwrap.shorten(text, width, placeholder=" [...]") collapses whitespace and truncates at word boundaries when needed.
- Apply the demonstrated operation to the practice input and verify its result before depending on it in a larger program.