百木园本篇总结了一下字符串，列表，字典，元组的连接组合使用和类型的互相转换小例子，尤其列表中的extend()方法和字典中的
update方法非常的常用。
1.连接两个字符串
a = \"hello \"
b = \"world\"
a += b
print(a) # hello world
2.字典的连接
dict1 = {1: \"a\", 2: \"b\"}
dict2 = {3: \"c\", 4: \"d\"}
dict1.update(dict2)
print(dict1) # {1: \'a\', 2: \'b\', 3: \'c\', 4: \'d\'}
3.列表的连接
list1 = [1, 2, 3]
list2 = [4, 5, 6]
list1.extend(list2) # [1, 2, 3, 4, 5, 6]
print(list1)
4.元组的连接
tuple1 = (1, 2)
tuple2 = (3, 4)
tuple1 += tuple2
print(tuple1) # (1, 2, 3, 4)
5.字典转换为字符串
dict1 = {1: \"a\", 2: \"b\"}
str1 = str(dict1)
print(str1) # {1: \'a\', 2: \'b\'}
print(type(str1)) # <class \'str\'>
6.字典转换为列表
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dict1 = {1: \"a\", 2: \"b\"}
list1 = list(dict1.keys())
list2 = list(dict1.values())
list3 = list(dict1)
print(list1) # [1, 2]
print(list2) # [\'a\', \'b\']
print(list3) # [1,2]
7.字典转换为元组
dict1 = {1: \"a\", 2: \"b\"}
tuple1 = tuple(dict1.keys())
tuple2 = tuple(dict1.values())
tuple3 = tuple(dict1)
print(tuple1) # (1, 2)
print(tuple2) # (\'a\', \'b\')
print(tuple3) # (1, 2)
8.列表转换为字符串
list1 = [1, 2, 3]
str1 = str(list1)
print(str1) # [1, 2, 3]
print(type(str1)) # <class \'str\'>
9.列表转换为字典
# 1.
list1 = [1, 2, 3]
list2 = [\"a\", \"b\", \"c\"]
dict1 = dict(zip(list1, list2))
print(dict1) # {1: \'a\', 2: \'b\', 3: \'c\'}
# 2.
dict1 = {}
for i in list1:
dict1[i] = list2[list1.index(i)]
print(dict1) # {1: \'a\', 2: \'b\', 3: \'c\'}
# 3.
list1 = [[1, \'a\'], [2, \'b\'], [3, \'c\']]
dict1 = dict(list1)
print(dict1) # {1: \'a\', 2: \'b\', 3: \'c\'}
10.列表转换为元组
list1 = [1, 2, 3]
tuple1 = tuple(list1)
print(tuple1) # (1, 2, 3)
11.元组转换为字符串
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tuple1 = (1, 2, 3)
str1 = tuple(tuple1)
print(str1) # (1, 2, 3)
print(type(str1)) # <class \'tuple\'>
12.元组转换为字典
# 1.
tuple1 = (1, 2, 3)
tuple2 = (4, 5, 6)
dict1 = dict(zip(tuple1, tuple2))
print(dict1) # {1: 4, 2: 5, 3: 6}
# 2
dict1 = {}
for i in tuple1:
dict1[i] = tuple2[tuple1.index(i)]
print(dict1) # {1: 4, 2: 5, 3: 6}
# 3
tuple1 = (1, 2)
tuple2 = (4, 5)
tuple3 = (tuple1, tuple2)
dict1 = dict(tuple3)
print(dict1) # {1: 2, 4: 5}
13.元组转换为列表
tuple1 = (1, 2)
list1 = list(tuple1)
print(list1) # [1, 2]
来源：https://www.cnblogs.com/xxpythonxx/p/14622643.html
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