s.add("11") 这是一个字符串print(s) 结果就是多了一个数字11和一个字符串"11"C:\python35\python3.exe D:/pyproject/day12列表/set-集合.py {'11', 11,'gouguoqi','sb'} 2. clear(self, *args, **kwargs) Remove all elements from this set element [ˈelɪmənt] 元素 从这个集合...
>>> A = set('abcd') >>> B = set('cdef') >>> C = set("ab") >>> C < A True # C 是 A 的子集 >>> C < B False >>> C.issubset(A) True并集 一组集合的并集是这些集合的所有元素构成的集合,而不包含其他元素。 使用操作符 | 执行并集操作,同样地,也可使用方法 union() 完成。
class set(object): """ set() -> new empty set object set(iterable) -> new set object Build an unordered collection of unique elements. """ def add(self, *args, **kwargs): # real signature unknown """ 添加 """ """ Add an element to a set. This has no effect if the elemen...
4))plt.plot([1,2,3,4,5])sht_2.pictures.add(fig,name='MyPlot',update=True)...
plt.show()#Create a model with degree = 1 using the functioncreate_model(x_train,1) Output[] Train RMSE(Degree =1):3.55Test RMSE (Degree =1):7.56Listing1-2.Function to build modelwithparameterized number of co-efficients 类似地,列表 1-3 和图 1-4 对度数=2 的模型重复该练习。
def reduce(function, iterable, initializer=None): it = iter(iterable) if initializer is None: value = next(it) else: value = initializer for element in it: value = function(value, element) return value 1. 2. 3. 4. 5. 6. 7. 8. 9. 示例: AI检测代码解析 import functools a = rang...
"" logging.info("Get IP address by host name...") uri = "/dns/dnsNameResolution" root_elem = etree.Element('dnsNameResolution') etree.SubElement(root_elem, 'host').text = host etree.SubElement(root_elem, 'addrType').text = addr_type req_data = etree.tostring(root_elem, "UTF-8"...
print a, for i in range(len(num)): print num[i], 输出结果:0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 列表操作 更新列表 >>> num=[0,1,2,3,4,5,6,7] >>> num[1]='abc' >>> print num [0, 'abc', 2, 3, 4, 5, 6, 7] ...
class set(object): """ set() -> new empty set object set(iterable) -> new set object Build an unordered collection of unique elements. """ def add(self, *args, **kwargs): # real signature unknown """ 添加 """ """ Add an element to a set. This has no effect if the elemen...
作为示例,我们将使用 NumPy add ufunc 演示 ufunc 的基础机制: In [ ] import numpy as np a = np.array([1, 2, 3, 4]) b = np.array([10, 20, 30, 40]) np.add(a, b) # Returns a new NumPy array resulting from adding every element in `a` to every element in `b` ufunc 还可...