Normalizing Streets

Motivation

When working with addresses, there are many different ways to represent a street. Using the USPS for a method of normalizing, we can use this Python module to normalize an address, which can be useful when trying to compare addresses.

How it works:

from street_normalizer import *
example_street = "123 54th Ave apt 1115"
cleaned_street = cleaner(example_street)
print(cleaned_street)
# 123 54TH AVE APT 1115

Using Locally

As there are no dependencies required to run this tool you can install using pip with the below:

pip install --upgrade git+https://github.com/avgra3/Street_Normalizer.git

Testing Locally

In your terminal run

git clone https://github.com/avgra3/Street_Normalizer.git

cd Street_Normalizer

./run_tests.sh