Duplicate-Finder 1.2.0

Package to find duplicate files in and across folders

About Duplicates Finder

Duplicates Finder is a simple Python package that identifies duplicate files in and across folders. There are three ways to search for identical files:

1. List all duplicate files in a folder of interest.
2. Pick a file and find all duplications in a folder.
3. Directly compare two folders against each other.

The results are saved as a Pandas Dataframe or can be exported as .csv files.

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Installation

You can either clone the repository directly from the Github webpage or run the following command(s) in your terminal:

Pip Installation:

pip install duplicate-finder

Alternatively you can clone the Git repository:

git clone https://github.com/akcarsten/duplicates.git

Then go to the folder to which you cloned the repository and run:

python setup.py install

Now you can run Python and import the Bitfinex client.

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Examples of how to use the package

Example 1: List all duplicate files in a folder of interest.

import duplicates as dup


folder_of_interest = 'C:/manyDuplicatesHere/'
dup.list_all_duplicates(folder_of_interest, to_csv=True, csv_path='C:/csvWithAllDuplicates/')

If only a specific type of files is of interest this can be further defined by the 'ext' parameter. For example:

df = dup.list_all_duplicates(folder_of_interest, to_csv=True, csv_path='C:/csvWithAllDuplicates/', ext='.jpg')

Example 2: Pick a file and find all duplications in a folder.

import duplicates as dup


file_of_interest = 'C:/manyDuplicatesHere/thisFileExistsManyTimes.jpg'
folder_of_interest = 'C:/manyDuplicatesHere/'
df = dup.find_duplicates(file_of_interest, folder_of_interest)

Example 3: Directly compare two folders against each other.

import duplicates as dup


folder_of_interest_1 = 'C:/noDuplicatesHere/'
folder_of_interest_2 = 'C:/noDuplicatesHereAsWell/'
df = dup.compare_folders(folder_of_interest_1, folder_of_interest_2)

As in Example 1 above a specific filetype can be selected and the results can be written to a .csv file.