python 代码样例
时间: 2023-10-12 17:57:11 浏览: 39
回答: 根据引用\[1\]中的描述,test.py是一个Python代码文件,其中包含了一些代码段。然而,由于你没有提供具体的代码样例,我无法给出关于test.py中各段代码功能的具体解释。如果你能提供具体的代码样例,我将能够更好地帮助你理解代码的功能。
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相关问题
python代码案例详解-Python代码样例列表
好的,下面是一些Python代码样例:
1. 计算两个数的和:
```python
num1 = 10
num2 = 20
sum = num1 + num2
print("两数之和为:", sum)
```
2. 判断一个数是否为质数:
```python
num = int(input("请输入一个正整数:"))
if num > 1:
for i in range(2, num):
if (num % i) == 0:
print(num, "不是质数")
break
else:
print(num, "是质数")
else:
print(num, "不是质数")
```
3. 将一个列表中的元素按照从小到大的顺序进行排序:
```python
list1 = [10, 5, 8, 13, 20]
list1.sort()
print("排序后的列表:", list1)
```
4. 使用递归计算阶乘:
```python
def factorial(num):
if num == 1:
return 1
else:
return num * factorial(num-1)
num = int(input("请输入一个正整数:"))
print(num, "的阶乘为:", factorial(num))
```
5. 使用列表推导式生成一个包含1-10的平方的列表:
```python
squares = [i**2 for i in range(1, 11)]
print("1-10的平方列表:", squares)
```
python apriori代码样例
下面是一个简单的 Python Apriori 代码样例,用于从数据集中挖掘频繁项集:
```python
def loadDataSet():
# 数据集
return [[1, 3, 4], [2, 3, 5], [1, 2, 3, 5], [2, 5]]
def createC1(dataSet):
# 创建初始候选项集列表
C1 = []
for transaction in dataSet:
for item in transaction:
if not [item] in C1:
C1.append([item])
C1.sort()
return map(frozenset, C1)
def scanD(D, Ck, minSupport):
# 返回满足最小支持度要求的项集列表
ssCnt = {}
for tid in D:
for can in Ck:
if can.issubset(tid):
if not can in ssCnt:
ssCnt[can] = 1
else:
ssCnt[can] += 1
numItems = float(len(D))
retList = []
supportData = {}
for key in ssCnt:
support = ssCnt[key] / numItems
if support >= minSupport:
retList.insert(0, key)
supportData[key] = support
return retList, supportData
def aprioriGen(Lk, k):
# 创建候选项集列表
retList = []
lenLk = len(Lk)
for i in range(lenLk):
for j in range(i + 1, lenLk):
L1 = list(Lk[i])[:k - 2]
L2 = list(Lk[j])[:k - 2]
L1.sort()
L2.sort()
if L1 == L2:
retList.append(Lk[i] | Lk[j])
return retList
def apriori(dataSet, minSupport=0.5):
# 生成频繁项集
C1 = createC1(dataSet)
D = map(set, dataSet)
L1, supportData = scanD(D, C1, minSupport)
L = [L1]
k = 2
while len(L[k - 2]) > 0:
Ck = aprioriGen(L[k - 2], k)
Lk, supK = scanD(D, Ck, minSupport)
supportData.update(supK)
L.append(Lk)
k += 1
return L, supportData
```
这段代码实现了 Apriori 算法的主要功能,包括创建候选项集、扫描数据集、生成频繁项集等。你可以根据自己的需求进行修改和扩展。