apyori apriori损坏的项目集输出

Question

我正在尝试使用apyori模块运行关联规则。我的“项目”是各种手术（行=病人的情况），如您在下面的数据框示例中所见。Apyori无法捕获正确的标签，并且似乎用字母将标签切碎了。我以前已经见过这种行为。除非我丢失了某些内容，否则我的数据集的格式已正确设置，可以用于脓毒症。任何时候进行的手术不得超过2次。

这是我得到的例子：

RelationRecord(items=frozenset({'v', '_'}), support=0.10309278350515463, ordered_statistics=[OrderedStatistic(items_base=frozenset(), items_add=frozenset({'v', '_'}), confidence=0.10309278350515463, lift=1.0), OrderedStatistic(items_base=frozenset({'_'}), items_add=frozenset({'v'}), confidence=0.10638297872340426, lift=1.0319148936170213), OrderedStatistic(items_base=frozenset({'v'}), items_add=frozenset({'_'}), confidence=1.0, lift=1.0319148936170213)]) Support: 0.10309278350515463 Confidence: frozenset({'v', '_'}) Lift:
0.10309278350515463

冻结集已损坏...这是我的输入dataframe.head（）：

   sm-to-sm_bowel_anastom  small_bowel_incision_nec  sm_bowel_exteriorization  \
0                       0                         0                         0   
1                       0                         0                         0   
2                       0                         0                         0   
3                       0                         0                         0   
4                       0                         0                         0   
5                       0                         0                         0   
6                       0                         0                         0   
7                       0                         0                         0   
8                       0                         0                         0   
9                       0                         0                         0   

   incisional_hernia_repair  colonoscopy  anal_anastomosis  \
0                         0            0                 0   
1                         0            0                 0   
2                         0            0                 0   
3                         0            0                 0   
4                         0            0                 0   
5                         0            0                 0   
6                         0            0                 0   
7                         0            0                 0   
8                         0            0                 0   
9                         0            0                 0   

   c.a.t._scan_of_abdomen  open_sigmoidectomy_nec  small_bowel_suture_nec  \
0                       0                       0                       0   
1                       0                       0                       0   
2                       0                       0                       0   
3                       0                       0                       0   
4                       0                       0                       0   
5                       0                       0                       0   
6                       0                       0                       0   
7                       0                       0                       0   
8                       0                       0                       0   
9                       0                       0                       0   

   lap_pt_ex_lrg_intest_nec  ...  abdperneal_res_rectm_nos  \
0                         0  ...                         0   
1                         0  ...                         0   
2                         0  ...                         0   
3                         0  ...                         0   
4                         0  ...                         0   
5                         0  ...                         0   
6                         0  ...                         0   
7                         0  ...                         0   
8                         0  ...                         0   
9                         0  ...                         0   

   ureteral_catheterization  cv_cath_plcmt_w_guidance  \
0                         0                         0   
1                         0                         0   
2                         0                         0   
3                         0                         0   
4                         0                         0   
5                         0                         0   
6                         0                         0   
7                         0                         0   
8                         0                         0   
9                         0                         0   

   clos_large_bowel_biopsy  lap_right_hemicolectomy  continent_ileostomy  \
0                        0                        0                    0   
1                        0                        0                    0   
2                        0                        0                    0   
3                        0                        0                    0   
4                        0                        0                    0   
5                        0                        0                    0   
6                        0                        0                    0   
7                        0                        0                    0   
8                        0                        0                    0   
9                        0                        0                    1   

   insert_endotracheal_tube  mult_seg_sm_bowel_excis  \
0                         0                        0   
1                         0                        0   
2                         0                        0   
3                         0                        0   
4                         0                        0   
5                         0                        0   
6                         0                        0   
7                         0                        0   
8                         0                        0   
9                         0                        0   

   small-to-large_bowel_nec  opn_lft_hemicolectmy_nec  
0                         1                         1  
1                         0                         0  
2                         0                         0  
3                         0                         0  
4                         0                         0  
5                         0                         0  
6                         1                         0  
7                         0                         0  
8                         0                         0  
9                         0                         0  

[10 rows x 97 columns]

我运行了这样的规则：

from apyori import apriori as ap
rulez = ap(ohe_df, min_support = 0.1, min_length = 2,use_colnames=True)

我仅同时进行2项手术，因此我不希望组合> 2项。

freezeset发生了什么？

谢谢

Answer 1

您需要将输入数据放在列表列表中，其中每个列表都是一对在一起的东西。我整理了一些数据：

# Replace 1's with the column name
df = df.replace(1, pd.Series(df.columns, df.columns))

# get a list of non-zero values per row into an array of lists
ops = df.apply(lambda x: [v for v in x.values if v!=0], axis=1).values

ops变量现在看起来不错：

array([list(['small_bowel_incision_nec', 'colonoscopy']),
       list(['sm_bowel_exteriorization', 'colonoscopy']),
       list(['sm-to-sm_bowel_anastom', 'small_bowel_suture_nec']),
       list(['small_bowel_incision_nec', 'colonoscopy']),
       list(['anal_anastomosis', 'open_sigmoidectomy_nec']),
       list(['colonoscopy', 'c.a.t._scan_of_abdomen']),
       list(['sm-to-sm_bowel_anastom', 'open_sigmoidectomy_nec']),
       list(['c.a.t._scan_of_abdomen', 'small_bowel_suture_nec']),
       list(['incisional_hernia_repair', 'small_bowel_suture_nec']),
       list(['small_bowel_incision_nec', 'colonoscopy'])], dtype=object)

# Run apriori, getting them as a list
rulez = list(ap(ops, min_support = 0.1, min_length = 2,use_colnames=True))

样本输出

[RelationRecord(items=frozenset({'anal_anastomosis'}), support=0.1, ordered_statistics=[OrderedStatistic(items_base=frozenset(), items_add=frozenset({'anal_anastomosis'}), confidence=0.1, lift=1.0)]),
 RelationRecord(items=frozenset({'c.a.t._scan_of_abdomen'}), support=0.2, ordered_statistics=[OrderedStatistic(items_base=frozenset(), items_add=frozenset({'c.a.t._scan_of_abdomen'}), confidence=0.2, lift=1.0)]),
 RelationRecord(items=frozenset({'colonoscopy'}), support=0.5, ordered_statistics=[OrderedStatistic(items_base=frozenset(), items_add=frozenset({'colonoscopy'}), confidence=0.5, lift=1.0)]),...]