Metadata-Version: 2.1
Name: aprioripy
Version: 0.0.2
Summary: Apriori algorithm.
Home-page: https://github.com/gokhangerdan/Aprioripy
Author: Gökhan Gerdan
Author-email: gokhang1327@gmail.com
License: UNKNOWN
Description: # Aprioripy: Apriori algorithm.
        <img src="4742c1dc-c672-4194-96c3-54ee5b88a840.jpeg">
        
        ## Apriori algorithm usage:
        
        ```python
        from apriopy import Apriopy
        
        
        test_table = pd.DataFrame({
            "items": ["1, 3, 4", "2, 3, 5", "1, 2, 3, 5", "2, 5"]
        })
        
        print("Test table")
        print(test_table)
        
        ap = Aprioripy(table=test_table)
        
        print("\nFrequency table:")
        print(ap.frequency_table)
        
        ap.apriori(min_support=0.5)
        
        for i in ap.association_tables.keys():
            print("\nAssociation table " + i)
            print(ap.association_tables[i])
        
        test_table = pd.DataFrame(
            [
                {"1": 1, "2": 0, "3": 1, "4": 1, "5": 0},
                {"1": 0, "2": 1, "3": 1, "4": 0, "5": 1},
                {"1": 1, "2": 1, "3": 1, "4": 0, "5": 1},
                {"1": 0, "2": 1, "3": 0, "4": 0, "5": 1}
            ]
        )
        
        print("\nTest table:")
        print(test_table)
        
        ap = Aprioripy(table=test_table, convert=False)
        
        print("\nFrequency table:")
        print(ap.frequency_table)
        
        ap.apriori(min_support=0.5)
        
        for i in ap.association_tables.keys():
            print("\nAssociation table " + i)
            print(ap.association_tables[i])
        ```
        ## Output:
        
        ```
        Test table
                items
        0     1, 3, 4
        1     2, 3, 5
        2  1, 2, 3, 5
        3        2, 5
        
        Frequency table:
          item  frequency
        0    1       0.50
        1    2       0.75
        2    3       0.75
        3    4       0.25
        4    5       0.75
        
        Association table L1
          item  frequency
        0    1       0.50
        1    2       0.75
        2    3       0.75
        4    5       0.75
        
        Association table L2
          itemset  frequency
        1  (1, 3)       0.50
        4  (2, 3)       0.50
        6  (2, 5)       0.75
        8  (3, 5)       0.50
        
        Association table L3
             itemset  frequency
        7  (2, 3, 5)        0.5
        
        Test table:
           1  2  3  4  5
        0  1  0  1  1  0
        1  0  1  1  0  1
        2  1  1  1  0  1
        3  0  1  0  0  1
        
        Frequency table:
          item  frequency
        0    1       0.50
        1    2       0.75
        2    3       0.75
        3    4       0.25
        4    5       0.75
        
        Association table L1
          item  frequency
        0    1       0.50
        1    2       0.75
        2    3       0.75
        4    5       0.75
        
        Association table L2
          itemset  frequency
        1  (1, 3)       0.50
        4  (2, 3)       0.50
        6  (2, 5)       0.75
        8  (3, 5)       0.50
        
        Association table L3
             itemset  frequency
        7  (2, 3, 5)        0.5
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
