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I want a Python library which can implement the apriori algorithm, and is compatible with pandas data frames.

The data is binarized, which mean a 1 for an item, if it is included in a transaction, and 0 if it is not. So, a T x n dataframe.

T <-- number of transactions
n <-- number of possible items

Preferably open-source. (The Python version doesn't matter.)

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apyori implements this but not specifically for Pandas dataframes. Adapting it to use them should be simple.

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