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Lesson 4 ❮ Lesson List ❮ Top Page
❯ 4.5 RegEx for Data Cleaning
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EXPECTED COMPLETION TIME
❲▹❳ Video 12m 28s
☷ Interactive readings 5m
✑ Practice 4.5 (G Colab) 25m
Replacing a Patterns
Replacing a Patterns
In data cleaning, some corrupted characters can be deleted or replaced.
re.sub(pattern, sub, string)
replaces all the pattern in string with sub.
Using List Comprehension for Data Cleaning
Using List Comprehension for Data Cleaning
Cleaning a part of data using list comprehension can be useful.
We used all that we have learned previously in this example.
Using Functions for Data Cleaning
Using Functions for Data Cleaning
Function is handy since it can be used repeatedly for multiple data set.
strip() clean unnecessary whitespaces at the start and end of a string.
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