From d923016b3360b3c44db99fa018b15f7d26d840c5 Mon Sep 17 00:00:00 2001
From: jiangzhonglian <jiang-s@163.com>
Date: Fri, 7 Apr 2017 15:48:02 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=2011.Apriori=20=E8=BE=93?=
 =?UTF-8?q?=E5=85=A5=E6=96=87=E4=BB=B6=E4=BD=8D=E7=BD=AE?=
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---
 .../Apriori_mushroom.dat => input/11.Apriori/mushroom.dat   | 0
 .../11.Apriori/recent20bills.txt                            | 0
 src/python/11.Apriori/apriori.py                            | 6 +++---
 3 files changed, 3 insertions(+), 3 deletions(-)
 rename testData/Apriori_mushroom.dat => input/11.Apriori/mushroom.dat (100%)
 rename testData/Apriori_recent20bills.txt => input/11.Apriori/recent20bills.txt (100%)

diff --git a/testData/Apriori_mushroom.dat b/input/11.Apriori/mushroom.dat
similarity index 100%
rename from testData/Apriori_mushroom.dat
rename to input/11.Apriori/mushroom.dat
diff --git a/testData/Apriori_recent20bills.txt b/input/11.Apriori/recent20bills.txt
similarity index 100%
rename from testData/Apriori_recent20bills.txt
rename to input/11.Apriori/recent20bills.txt
diff --git a/src/python/11.Apriori/apriori.py b/src/python/11.Apriori/apriori.py
index b4daef2b..1f8e648d 100644
--- a/src/python/11.Apriori/apriori.py
+++ b/src/python/11.Apriori/apriori.py
@@ -239,7 +239,7 @@ def getActionIds():
     votesmart.apikey = 'a7fa40adec6f4a77178799fae4441030'
     actionIdList = []
     billTitleList = []
-    fr = open('testData/Apriori_recent20bills.txt')
+    fr = open('input/11.Apriori/recent20bills.txt')
     for line in fr.readlines():
         billNum = int(line.split('\t')[0])
         try:
@@ -306,7 +306,7 @@ def main():
     # 现在的的测试
     # 1. 加载数据
     dataSet = loadDataSet()
-    print(dataSet)
+    print dataSet
     # 调用 apriori 做购物篮分析
     # 支持度满足阈值的key集合L，和所有元素和支持度的全集suppoerData
     L, supportData = apriori(dataSet, minSupport=0.5)
@@ -331,7 +331,7 @@ def main():
     # # 项目实战
     # # 发现毒蘑菇的相似特性
     # # 得到全集的数据
-    # dataSet = [line.split() for line in open("testData/Apriori_mushroom.dat").readlines()]
+    # dataSet = [line.split() for line in open("input/11.Apriori/mushroom.dat").readlines()]
     # L, supportData = apriori(dataSet, minSupport=0.3)
     # # 2表示毒蘑菇，1表示可食用的蘑菇
     # # 找出关于2的频繁子项出来，就知道如果是毒蘑菇，那么出现频繁的也可能是毒蘑菇