![]() ![]() compare_folders ( folder_of_interest_1, folder_of_interest_2 )Īs in Example 1 above a specific filetype can be selected and the results can be written to a. import duplicates as dup folder_of_interest_1 = 'C:/noDuplicatesHere/' folder_of_interest_2 = 'C:/noDuplicatesHereAsWell/' df = dup. find_duplicates ( file_of_interest, folder_of_interest ) Example 3: Directly compare two folders against each other. import duplicates as dup file_of_interest = 'C:/manyDuplicatesHere/thisFileExistsManyTimes.jpg' folder_of_interest = 'C:/manyDuplicatesHere/' 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. If only a specific type of files is of interest this can be further defined by the 'ext' parameter. ![]() By doing so a pre-selection of potential duplicate files Here the fastscan parameter is set to True (default is false). list_all_duplicates ( folder_of_interest, to_csv = True, csv_path = 'C:/csvWithAllDuplicates/', fastscan = True ) import duplicates as dup folder_of_interest = 'C:/manyDuplicatesHere/' dup. Now you can run Python and import the Bitfinex client.Įxamples of how to use the package Example 1: List all duplicate files in a folder of interest. Then go to the folder to which you cloned the repository and run: python setup.py install ![]() Pip Installation: pip install duplicate-finderĪlternatively you can clone the Git repository: git clone You can either clone the repository directly from the Github webpage or run the following command(s) in your terminal: More information about the underlying concept can also be found in this short article. The results are saved as a Pandas Dataframe or can be exported as.
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