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url-cleaner's Introduction

URL Cleaner

The only package this thing needs is this one called typer (same as argparse) just it makes passing arguments to variables easier.

pip install -U typer

To run the script it's fairly easy, you just need to run python main.py in your terminal (you should be in the root of the url-cleaner directory) e.g. cd url-cleaner.

Then it only accepts two arguments:

    1. Path to the CSV you want to read in.
    1. The name of the URL column that you want to tidy up.
python main.py data/social-media.csv link

Alternatively, you can use it in your regular python code with the following:

cleaner = URLCleaner(
    df=df,
    url_col='link'
)

data_df = cleaner.main()
data_df.head(5)

Otherwise, that should be it!

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