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Practical Data Wrangling
book

Practical Data Wrangling

by Allan Visochek
November 2017
Beginner to intermediate
204 pages
5h 23m
English
Packt Publishing
Content preview from Practical Data Wrangling

Counting the number of matches

In the following continuation of extract_street_names.py, I've opened scf_address_data.csv and added a loop to iterate over the rows in the file. Within the loop, each of the addresses are extracted and searched to see if they match the pattern.

Notice that when the regular expression is applied, I use the .lower() method to change all capital letters to lowercase. This makes it so that you do not have to account for uppercase letters in the pattern string.

The script keeps a running count of the total number of matches. At the end of the script, the fraction of address strings that match the pattern is printed to the output.

....## compile the patternstreet_address_regex = re.compile(street_address_pattern_string) ...
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Publisher Resources

ISBN: 9781787286139