PythonDay01

》注释

  》》当行注视:# 被注释内容

  》》多行注释:""" 被注释内容 """

》执行脚本传入参数

  》》Python有大量的模块,从而使得开发Python程序非常简洁。类库有包括三中:

    》》》Python内部提供的模块

    》》》业内开源的模块

    》》》程序员自己开发的模块

  》》Python内部提供一个 sys 的模块,其中的 sys.argv 用来捕获执行执行python脚本时传入的参数

import sys

print(sys.argv)

》pyc 文件

  》》执行Python代码时,如果导入了其他的 .py 文件,那么,执行过程中会自动生成一个与其同名的 .pyc 文件,该文件就是Python解释器编译之后产生的字节码。

  》》ps:代码经过编译可以产生字节码;字节码通过反编译也可以得到代码。

  》》python语言的执行:代码编译得到字节码虚拟机执行字节码并转换成机器码再后在处理器上执行

》变量

  》》声明一个变量,变量名为: name,变量name的值为:"fury"

name = "fury"

  》》 变量的作用:昵称,其代指内存里某个地址中保存的内容

  》》变量定义的规则:

    》》》变量名只能是 字母、数字或下划线的任意组合

    》》》变量名的第一个字符不能是数字

    》》》以下关键字不能声明为变量名

      ['and', 'as', 'assert', 'break', 'class', 'continue', 'def', 'del', 'elif', 'else', 'except', 'exec', 'finally', 'for', 'from', 'global', 'if', 'import', 'in', 'is', 'lambda', 'not', 'or', 'pass', 'print', 'raise', 'return', 'try', 'while', 'with', 'yield']

》变量的赋值

  》》Python中变量的赋值同Java中字符串的操作差不多(详见Java字符串操作之常量池)

name1 = 'fury'
name2 = 'fury' #同一个字符串可以被不同的变量引用  #name2 = name1 也是同样的效果
id1 = id(name1) #通过内置函数id()来读取变量的内存地址
id2 = id(name2)
print(id1, id2)
name2 = "warrior" #改变name2的值时name2的地址也变了,但是name1的值和地址都没有变
print(name1, name2)
id1 = id(name1) #通过内置函数id()来读取变量的内存地址
id2 = id(name2)
print(id1, id2)
# PS: Python中字符串的赋值操作跟Java中的差不多

# x1 = 2
# x2 = x1
# id1 = id(x1)
# id2 = id(x2)
# print(x1, x2)
# print(id1, id2)
#
# x2 = 12343
# print(x1, x2)
# id1 = id(x1)
# id2 = id(x2)
# print(id1, id2)

》补充

  》#print "hello"            python2.x的print方法

  》#python2.x不支持中文,如果有中文,需要添加 #_*_coding:utf-8_*_

  在程序最开始指定解释器和编码规则

#!/usr/bin/env python
# _*_coding:utf-8_*_

》输入

  在3.0中input输入的默认都是字符串形式

name = input("Please input your name: ")
print(name)
# print(input("Please input your name: "))  #上面两行的优化版本
# 在3.0中input输入的默认都是字符串形式

name = input("Please input your name: ")
age = int(input("Please input your age: "))  #convet string to int
salary = float(input("Please input your salary: "))
print("name:", name)
print("age:", age)
print("slary", salary)

msg = """
=====start=====
Information of %s :
name : %s
age : %d
salary : %f
======end=======
""" %(name, name, age, salary)
print(msg)

》流程控制和缩进

  》》需求一:   

  # 提示输入用户名和密码
  # 验证用户名和密码
  # 如果错误,则输出用户名或密码错误
  # 如果成功,则输出 欢迎,XXX!
name = input("Please input your name: ")
passwords = input("Please input your passwords: ")
if name == "fury" and  passwords == 123:
        print("登录成功")
else:
    print("用户名或者密码错误")

  》》需求二

    根据用户输入内容输出其权限

name = input("Please input your name: ")
passwords = input("Please input your passwords: ")
index = input("Please input you ID: ")
if index.isdigit():
    index = int(index)
if passwords.isdigit():
    passwords = int(passwords)
if name == "fury" and  passwords == 123:
        print("登录成功")
        if index == 1:
            print("你是博士")
        elif index == 2:
            print("你是硕士")
        elif index == 3:
            print("你是本科生")
        else:
            print("你是中学生")
else:
    print("用户名或者密码错误")

》局部变量 VS 全局变量

  外层变量,可以被内层变量使用
  内层变量,无法被外层变量使用
  》》当局部变量和全局变量冲突时,以局部变量为准
 1 name = "fury"
 2 
 3 
 4 def test():
 5     name = "warrior"
 6     print("test函数:", name)
 7 
 8 
 9 def main():
10     test()
11     print("main函数", name)
12 
13 main()
View Code

  》》当想要在局部对全局变量进行修改是需要用到 global 关键字

 1 name = "fury"
 2 
 3 
 4 def test():
 5     global name
 6     name = "hello word"
 7     print("test函数:", name)
 8 
 9 
10 def main():
11     test()
12     print("main函数", name)
13 
14 main()
View Code

》初识基本数据类型

1、数字

2 是一个整数的例子。
长整数 不过是大一些的整数。
3.23和52.3E-4是浮点数的例子。E标记表示10的幂。在这里,52.3E-4表示52.3 * 10-4。
(-5+4j)和(2.3-4.6j)是复数的例子。

int(整型)

  在32位机器上,整数的位数为32位,取值范围为-2**31~2**31-1,即-2147483648~2147483647
  在64位系统上,整数的位数为64位,取值范围为-2**63~2**63-1,即-9223372036854775808~9223372036854775807
  1 class int(object):
  2     """
  3     int(x=0) -> int or long
  4     int(x, base=10) -> int or long
  5     
  6     Convert a number or string to an integer, or return 0 if no arguments
  7     are given.  If x is floating point, the conversion truncates towards zero.
  8     If x is outside the integer range, the function returns a long instead.
  9     
 10     If x is not a number or if base is given, then x must be a string or
 11     Unicode object representing an integer literal in the given base.  The
 12     literal can be preceded by '+' or '-' and be surrounded by whitespace.
 13     The base defaults to 10.  Valid bases are 0 and 2-36.  Base 0 means to
 14     interpret the base from the string as an integer literal.
 15     >>> int('0b100', base=0)
 16     """
 17     def bit_length(self): 
 18         """ 返回表示该数字的时占用的最少位数 """
 19         """
 20         int.bit_length() -> int
 21         
 22         Number of bits necessary to represent self in binary.
 23         >>> bin(37)
 24         '0b100101'
 25         >>> (37).bit_length()
 26         """
 27         return 0
 28 
 29     def conjugate(self, *args, **kwargs): # real signature unknown
 30         """ 返回该复数的共轭复数 """
 31         """ Returns self, the complex conjugate of any int. """
 32         pass
 33     #两个实部相等,虚部互为相反数的复数互为共轭复数(conjugate #complex number)
 34     def __abs__(self):
 35         """ 返回绝对值 """
 36         """ x.__abs__() <==> abs(x) """
 37         pass
 38 
 39     def __add__(self, y):
 40         """ x.__add__(y) <==> x+y """
 41         pass
 42 
 43     def __and__(self, y):
 44         """ x.__and__(y) <==> x&y """
 45         pass
 46 
 47     def __cmp__(self, y): 
 48         """ 比较两个数大小 """
 49         """ x.__cmp__(y) <==> cmp(x,y) """
 50         pass
 51 
 52     def __coerce__(self, y):
 53         """ 强制生成一个元组 """ 
 54         """ x.__coerce__(y) <==> coerce(x, y) """
 55         pass
 56 
 57     def __divmod__(self, y): 
 58         """ 相除,得到商和余数组成的元组 """ 
 59         """ x.__divmod__(y) <==> divmod(x, y) """
 60         pass
 61 
 62     def __div__(self, y): 
 63         """ x.__div__(y) <==> x/y """
 64         pass
 65 
 66     def __float__(self): 
 67         """ 转换为浮点类型 """ 
 68         """ x.__float__() <==> float(x) """
 69         pass
 70 
 71     def __floordiv__(self, y): 
 72         """ x.__floordiv__(y) <==> x//y """
 73         pass
 74 
 75     def __format__(self, *args, **kwargs): # real signature unknown
 76         pass
 77 
 78     def __getattribute__(self, name): 
 79         """ x.__getattribute__('name') <==> x.name """
 80         pass
 81 
 82     def __getnewargs__(self, *args, **kwargs): # real signature unknown
 83         """ 内部调用 __new__方法或创建对象时传入参数使用 """ 
 84         pass
 85 
 86     def __hash__(self): 
 87         """如果对象object为哈希表类型,返回对象object的哈希值。哈希值为整数。在字典查找中,哈希值用于快速比较字典的键。两个数值如果相等,则哈希值也相等。"""
 88         """ x.__hash__() <==> hash(x) """
 89         pass
 90 
 91     def __hex__(self): 
 92         """ 返回当前数的 十六进制 表示 """ 
 93         """ x.__hex__() <==> hex(x) """
 94         pass
 95 
 96     def __index__(self): 
 97         """ 用于切片,数字无意义 """
 98         """ x[y:z] <==> x[y.__index__():z.__index__()] """
 99         pass
100 
101     def __init__(self, x, base=10): # known special case of int.__init__
102         """ 构造方法,执行 x = 123 或 x = int(10) 时,自动调用,暂时忽略 """ 
103         """
104         int(x=0) -> int or long
105         int(x, base=10) -> int or long
106         
107         Convert a number or string to an integer, or return 0 if no arguments
108         are given.  If x is floating point, the conversion truncates towards zero.
109         If x is outside the integer range, the function returns a long instead.
110         
111         If x is not a number or if base is given, then x must be a string or
112         Unicode object representing an integer literal in the given base.  The
113         literal can be preceded by '+' or '-' and be surrounded by whitespace.
114         The base defaults to 10.  Valid bases are 0 and 2-36.  Base 0 means to
115         interpret the base from the string as an integer literal.
116         >>> int('0b100', base=0)
117         # (copied from class doc)
118         """
119         pass
120 
121     def __int__(self): 
122         """ 转换为整数 """ 
123         """ x.__int__() <==> int(x) """
124         pass
125 
126     def __invert__(self): 
127         """ x.__invert__() <==> ~x """
128         pass
129 
130     def __long__(self): 
131         """ 转换为长整数 """ 
132         """ x.__long__() <==> long(x) """
133         pass
134 
135     def __lshift__(self, y): 
136         """ x.__lshift__(y) <==> x<<y """
137         pass
138 
139     def __mod__(self, y): 
140         """ x.__mod__(y) <==> x%y """
141         pass
142 
143     def __mul__(self, y): 
144         """ x.__mul__(y) <==> x*y """
145         pass
146 
147     def __neg__(self): 
148         """ x.__neg__() <==> -x """
149         pass
150 
151     @staticmethod # known case of __new__
152     def __new__(S, *more): 
153         """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
154         pass
155 
156     def __nonzero__(self): 
157         """ x.__nonzero__() <==> x != 0 """
158         pass
159 
160     def __oct__(self): 
161         """ 返回改值的 八进制 表示 """ 
162         """ x.__oct__() <==> oct(x) """
163         pass
164 
165     def __or__(self, y): 
166         """ x.__or__(y) <==> x|y """
167         pass
168 
169     def __pos__(self): 
170         """ x.__pos__() <==> +x """
171         pass
172 
173     def __pow__(self, y, z=None): 
174         """ 幂,次方 """ 
175         """ x.__pow__(y[, z]) <==> pow(x, y[, z]) """
176         pass
177 
178     def __radd__(self, y): 
179         """ x.__radd__(y) <==> y+x """
180         pass
181 
182     def __rand__(self, y): 
183         """ x.__rand__(y) <==> y&x """
184         pass
185 
186     def __rdivmod__(self, y): 
187         """ x.__rdivmod__(y) <==> divmod(y, x) """
188         pass
189 
190     def __rdiv__(self, y): 
191         """ x.__rdiv__(y) <==> y/x """
192         pass
193 
194     def __repr__(self): 
195         """转化为解释器可读取的形式 """
196         """ x.__repr__() <==> repr(x) """
197         pass
198 
199     def __str__(self): 
200         """转换为人阅读的形式,如果没有适于人阅读的解释形式的话,则返回解释器课阅读的形式"""
201         """ x.__str__() <==> str(x) """
202         pass
203 
204     def __rfloordiv__(self, y): 
205         """ x.__rfloordiv__(y) <==> y//x """
206         pass
207 
208     def __rlshift__(self, y): 
209         """ x.__rlshift__(y) <==> y<<x """
210         pass
211 
212     def __rmod__(self, y): 
213         """ x.__rmod__(y) <==> y%x """
214         pass
215 
216     def __rmul__(self, y): 
217         """ x.__rmul__(y) <==> y*x """
218         pass
219 
220     def __ror__(self, y): 
221         """ x.__ror__(y) <==> y|x """
222         pass
223 
224     def __rpow__(self, x, z=None): 
225         """ y.__rpow__(x[, z]) <==> pow(x, y[, z]) """
226         pass
227 
228     def __rrshift__(self, y): 
229         """ x.__rrshift__(y) <==> y>>x """
230         pass
231 
232     def __rshift__(self, y): 
233         """ x.__rshift__(y) <==> x>>y """
234         pass
235 
236     def __rsub__(self, y): 
237         """ x.__rsub__(y) <==> y-x """
238         pass
239 
240     def __rtruediv__(self, y): 
241         """ x.__rtruediv__(y) <==> y/x """
242         pass
243 
244     def __rxor__(self, y): 
245         """ x.__rxor__(y) <==> y^x """
246         pass
247 
248     def __sub__(self, y): 
249         """ x.__sub__(y) <==> x-y """
250         pass
251 
252     def __truediv__(self, y): 
253         """ x.__truediv__(y) <==> x/y """
254         pass
255 
256     def __trunc__(self, *args, **kwargs): 
257         """ 返回数值被截取为整形的值,在整形中无意义 """
258         pass
259 
260     def __xor__(self, y): 
261         """ x.__xor__(y) <==> x^y """
262         pass
263 
264     denominator = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
265     """ 分母 = 1 """
266     """the denominator of a rational number in lowest terms"""
267 
268     imag = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
269     """ 虚数,无意义 """
270     """the imaginary part of a complex number"""
271 
272     numerator = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
273     """ 分子 = 数字大小 """
274     """the numerator of a rational number in lowest terms"""
275 
276     real = property(lambda self: object(), lambda self, v: None, lambda self: None)  # default
277     """ 实属,无意义 """
278     """the real part of a complex number"""
279 
280 int
View Code
long(长整型)
  跟C语言不同,Python的长整数没有指定位宽,即:Python没有限制长整数数值的大小,但实际上由于机器内存有限,我们使用的长整数数值不可能无限大。
  注意,自从Python2.2起,如果整数发生溢出,Python会自动将整数数据转换为长整数,所以如今在长整数数据后面不加字母L也不会导致严重后果了。
float(浮点型)
  浮点数用来处理实数,即带有小数的数字。类似于C语言中的double类型,占8个字节(64位),其中52位表示底,11位表示指数,剩下的一位表示符号。
complex(复数)
  复数由实数部分和虚数部分组成,一般形式为x+yj,其中的x是复数的实数部分,y是复数的虚数部分,这里的x和y都是实数。
注:Python中存在小数字池:-5 ~ 257
 
2、布尔值
  真或假
  1 或 0
3、字符串
"hello world"

  》》万恶的字符串拼接:

  python中的字符串在C语言中体现为是一个字符数组,每次创建字符串时候需要在内存中开辟一块连续的空,并且一旦需要修改字符串的话,就需要再次开辟空间,万恶的+号每出现一次就会在内从中重新开辟一块空间。(PS:同Java的字符串拼接相同)
1 name = "fury"
2 age = 23
3 print("The age of that fellow named %s is %d" %(name, age))
4 print("The age of that fellow named {0} is {1}".format(*[name, age]))
5 print("The age of that fellow named {name} is {age}".format(**{"name" : "warrior","age" : 123}))
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
# strip() 方法会去掉字符串前后的空格、tab键、换行等等
print("===start===")
# userName = input("Please input your name: ")
# if userName.strip() == "fury":
#     print("Welcome to the city of Chongqing! ")
#将字符串切成列表
print("===one===")
name = "One,Two,Three"
name1 = name.split(",")
print(name1)
# 将列表合成一个字符串
print("===two===")
name2 = "|".join(name1)
print(name2)
# 判断一个字符串里面有没有空格
print("===three===")
name3 = "fury wArrior"
print(" " in name3)
# 将字符串的首字母大写,其余的全部小写
print("===four===")
print(name3.capitalize())
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
# 字符串的格式
print("===start===")
msg = "Hello, {name}. Your age is {age}."
print(msg.format(name = "fury", age = 123))

msg1 = "Hello, {0}. Your age is {1}."
print(msg1.format("warrior",321))
# 切片
print("===one===")
name = "Thinking in Java"
print(name[0:8])
# len()  字符串长度
print("===two===")
print(len(name))
# center() 将字符串放在自定宽度的中间,多余的位置用指定的字符进行填充
print("===three===")
print(name.center(20,"-"))
print(name.center(len(name) + 6,"&"))
# find()  做出指定字符串的索引
print("===four===")
print(name.find("T"))
print(name.find("1234"))  #没有返回 -1
# 判断输入的是否是数字
print("===five===")
age = input("Please input your age: ")
if age.isdigit():
    age = int(age)
else:
    print("Invalid input")
print("===six===")
name1 = "furywarrior"
print(name1.endswith("warrior"))  # 结束判断
print(name1.startswith("fury")) #开始判断
print(name1.upper()) #全部转换成大写
print(name1.lower()) #全部转换成小写
View Code

》列表

Python 中的list 就相当于 Java 中的数组;但是Python中的list可以存储不同的数据类型
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
# Python 中的list 就相当于 Java 中的数组;但是Python中的list可以存储不同的数据类型
name = ["fury", "warrior",1,2,3,4,"peter","bob"]
print(name[1])
print(name[-1])
print(name[0:2]) #切片   注意:和Java一样,取首不取尾
print(name[-5:-1]) #没取到最后一个 ,原因:取首不取尾
print(name[-5:]) #不写后面这个参数,就默认取到最后一个并且包含最后一个
print(name[0:6])
print(name[:6])
print(name[0:3])
print(name[0:3][0:2])
print(name[0:3][0:2][1])
print("====")
print(name[0:3][0:2][1][1])
print("===")
name2 = list(["warrior", "fury"])
print(name2[0:1])
# print(name2[0:1][1]) #切分到只有两个元素后,就不要再进行切分啦,直接利用下标进行引用
print(name2[0][1])
print("===start===")
print(name2)
print("===one===")
name2[1] = "peter"  #修改元素的值
print(name2)
print("===two===")
name2.insert(0,"bob") #插入一个元素到列表中
print(name2)
print("===three===")
name2.append("hello")  #追加一个元素到最后
print(name2)
print("===four===")
name2.remove("bob")  #删除一个元素
print(name2)
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
name = ["fury",'warrior',1234,3,234,3,1,234,23,3,"bob","fury"]
if "fury" in name:  #判断"fury" 是否在列表name中
    num_of_ele = name.count("fury")  #算出"fury"在列表中的个数
    positionOfEle = name.index("fury") #找到第一个"fury"的位置
    print("[%d] "fury" is in the list of name and the first position is [%d]." %(num_of_ele, positionOfEle))
    print(name[positionOfEle])
    name[positionOfEle] = "peter"  #修改元素的值
    print(name[positionOfEle])
print("===one===")
#怎么改变一个列表中所有的相同元素

name1 = list([1,2,3,4,4,2,1,2,1,2,1,1,1])
print(name1)
#同时改变相同元素的值
if 1 in name1:
    numOf1 = name1.count(1)
    print("%d 1 is in the list of name1." %(numOf1))
    for i in range(numOf1):
        posOf1 = name1.index(1)
        name1[posOf1] = "33"

print(name1)
print(1 in name1)
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
"""
作业要求:
    写一个列表,列表包含本组所有成员
    往中间插入两个临组成员的名字
    取出两个临组成员
    删除第12个人
    把刚才加入的那2个其它组的人一次性删除
    把组长的名字加上组长备注
    每隔一个人打印一个人
"""
name2 = [5, 6, 7, 8]
name1 = [1, 2, 3, 4]
name3 = [9, 10, 11, 12]
print("===start===")
for i in range(8):
    if i < 4 :
        name2.insert(2 + i, name1[i])
    else:
        name2.insert(2 + i, name3[-(8 - i)])
print(name2)
print("===one===")
name4 = name2[2:10] # 切片处理
print(name4)
print("===two===")
name2.remove(8)  #删除一个元素
print(name2)
print("===three===")
del name2[2:10]   # del 是全局的,什么都可以删  #删除多个元素
print(name2)
print("===four===")
name2[0] = "组长"   #改变元素的值
print(name2)
print("===five===")
print(name2[0::2])  #间隔打印列表的元素
print("===six===")
x = 123
print(x)
del x
# print(x)  #经过del删除后变量x就不存在啦
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
# 经一个列表整体加载到另一个列表的后面
print("===start===")
name1 = [1,2,3,12,321,32,21]
name2 = [3,4,5]
print(name1)
name1.extend(name2)
print(name1)
print(name2)
print("===one===")
# 将一个列表进行反转处理
name2.reverse()
print(name2)
# 排序:在3.5中不同的数据类型不能够混合排序
name1.sort()
print(name1)
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
import copy
# 利用pop删除元素
print("===start===")
name = ["fury","warrior","peter","bob"]
print(name)
name.pop()  #默认删除最后一个
print(name)
name.pop(1) #参数是元素的位置
print(name)
# copy方法_1
print("===one===")
name1 = ["fury","warrior","hello"]
name2 = name1.copy()
name1[0] = "FURY"
print(name1)
print(name2)
# copy_2 : copy没有办法copy第二层,即如果列表中有一个元素是列表类型,那么copy过来的是
#   这个列表的地址,而不是这个列表中真正的值,所以会形成一改全改的结果
print("===two===")
lis1 = ["fury","warrior",[1,2,3]]
lis2 = lis1.copy()
print(lis1)
print(lis2)
lis1[2][0] = "hello"
print(lis1)
print(lis2)
lis2[2][1] = "world"
print(lis1)
print(lis2)
#解决办法利用copy库
print("===three===")
lis3 = lis1.copy()
print(lis3)
# print("浅copy")
# lis3 = copy.copy(lis1)
# lis1[2][2] = "NeverCtrl_C"
# print(lis3)
print("深copy")
lis3 = copy.deepcopy(lis1)
lis1[2][2] = "NeverCtrl_C"
print(lis3)
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
# 找出所有的9并且改成999
# 找出所有的34并且直接删掉
lis = [9,1,34,2,9,23,34,9,9,34]
print(lis.count(9))
print(lis.count(34))
print(lis)
print("长度为:%d" %len(lis))
for i in range(lis.count(9)):
    lis[lis.index(9)] = 999
print(lis)
for i in range(lis.count(34)):
    lis.remove(lis[lis.index(34)])
print(lis)
print("长度为:%d" %len(lis))
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
list = ["fury","warrior","peter"]
print("===one===")
for item in enumerate(list):
    print(item)
# enumerate() 是一个枚举,它返回的是一个元组,元组的第一个元素是
# 从0开始的下标,元组的第二个元素是内容
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
lis01 = [1,[1,2,"warrior"],("warrior",132),3,"fury"]
print("33[41;1m%s33[0m" %lis01[1])
# print("%s %s %s" %lis01[1])  # 错误的输出方法
print("%s 33[31;1m%s33[0m" %lis01[2])
# print("%s" %lis01[2]) # 错误写法

#  在利用  print("%类型" %(变量)) 这种类型进行打印输出时,列表中的元素看成
# 是一个整体,前提是列表中的元素不是元组类型的数据;如果是元组类型的数据,
# 那么就必须根据该元组中元素的个数在“”里面添加相同数量的%数据类型个数

# 033[31;1m%s033[0m   添加颜色
View Code
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
"""
》购物小程序
    》》用户启动时先输入工资
    》》用户启动程序后打印商品列表
    》》允许用户选择购买商品
    》》允许用户不断的购买各种商品
    》》购买时检测余额是否足够,如果足够直接扣款,否则打印余额不足
    》》允许用户主动退出,退出时打印已购商品列表
"""
salary = input("Please input your salary: ")
if salary.isdigit():
    salary = int(salary)
else :
    exit("Invalid data type ...")

welcom_msg = "Welcome to ShoppingStore".center(50,"=")
print(welcom_msg)
products_list = [
    ("A" , 1000),
    ("B" , 2000),
    ("C" , 3000),
    ("D" , 4000),
    ("E" , 5000)
]
shop_car = []

# print(products_list[1][0],products_list[1][1])

exit_flag = False
while not exit_flag :
    for products_item in enumerate(products_list) :  #类似于Java中for循环的简便写法
        print(products_item)
    p_choice_index = input("[q:quit; c:check]What kind of products do you want to purchase?")
    if p_choice_index.isdigit():
        p_choice_index = int(p_choice_index)
        if p_choice_index < len(products_list):
            p_choice = products_list[p_choice_index]
            if salary >= p_choice[1]: #买得起
                shop_car.append(p_choice) #加入购物车
                salary -= p_choice[1] #减钱
                print("The product you chose just now is [%s %d] " %(p_choice[0],p_choice[1]))
                print("Your banance is 33[31;1m[%s]RMB33[0m " %salary)
            else:
                for shop_item in enumerate(shop_car):
                    print(shop_item)
                print("Your banance is [%s] , failling to affort ...." %salary)
    else:
        if p_choice_index == "q" or p_choice_index == "quit":
            print("You choose to quit.")
        else:
            print("Your input is wrong.")

        print("Purchaseed products as follow:".center(40,"="))
        for shop_item in shop_car:
            print(shop_item)
        print("Goodbye".center(40, "="))
        print("Your banance is [%s] " % salary)
        exit_flag = True

"""
优化购物程序,购买时允     许用户购买多件商品
允许多用户登录,下一次登录后,继续按上一次的余额继续购买(可以充值)
允许用户查看之前的购买记录(记录要显示商品购买的时间)
商品里列表分级展示
"""
购物小程序

》元组

  就是不能改变元素值得列表

tup01 = (1,"fury",3)
print(tup01, type(tup01))
# tup01[0] = "fury"  #错误写法:元组的元素值不能够被更改
元组
tup01 = (1,"fury",3,1)
print(tup01, type(tup01))
# tup01[0] = "fury"  #错误写法:元组的元素值不能够被更改
print(tup01.count(1))
print(tup01.index("fury"))
元组的方法
lass tuple(object):
    """
    tuple() -> empty tuple
    tuple(iterable) -> tuple initialized from iterable's items
    
    If the argument is a tuple, the return value is the same object.
    """
    def count(self, value): # real signature unknown; restored from __doc__
        """ T.count(value) -> integer -- return number of occurrences of value """
        return 0

    def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__
        """
        T.index(value, [start, [stop]]) -> integer -- return first index of value.
        Raises ValueError if the value is not present.
        """
        return 0

    def __add__(self, y): # real signature unknown; restored from __doc__
        """ x.__add__(y) <==> x+y """
        pass

    def __contains__(self, y): # real signature unknown; restored from __doc__
        """ x.__contains__(y) <==> y in x """
        pass

    def __eq__(self, y): # real signature unknown; restored from __doc__
        """ x.__eq__(y) <==> x==y """
        pass

    def __getattribute__(self, name): # real signature unknown; restored from __doc__
        """ x.__getattribute__('name') <==> x.name """
        pass

    def __getitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__getitem__(y) <==> x[y] """
        pass

    def __getnewargs__(self, *args, **kwargs): # real signature unknown
        pass

    def __getslice__(self, i, j): # real signature unknown; restored from __doc__
        """
        x.__getslice__(i, j) <==> x[i:j]
                   
                   Use of negative indices is not supported.
        """
        pass

    def __ge__(self, y): # real signature unknown; restored from __doc__
        """ x.__ge__(y) <==> x>=y """
        pass

    def __gt__(self, y): # real signature unknown; restored from __doc__
        """ x.__gt__(y) <==> x>y """
        pass

    def __hash__(self): # real signature unknown; restored from __doc__
        """ x.__hash__() <==> hash(x) """
        pass

    def __init__(self, seq=()): # known special case of tuple.__init__
        """
        tuple() -> empty tuple
        tuple(iterable) -> tuple initialized from iterable's items
        
        If the argument is a tuple, the return value is the same object.
        # (copied from class doc)
        """
        pass

    def __iter__(self): # real signature unknown; restored from __doc__
        """ x.__iter__() <==> iter(x) """
        pass

    def __len__(self): # real signature unknown; restored from __doc__
        """ x.__len__() <==> len(x) """
        pass

    def __le__(self, y): # real signature unknown; restored from __doc__
        """ x.__le__(y) <==> x<=y """
        pass

    def __lt__(self, y): # real signature unknown; restored from __doc__
        """ x.__lt__(y) <==> x<y """
        pass

    def __mul__(self, n): # real signature unknown; restored from __doc__
        """ x.__mul__(n) <==> x*n """
        pass

    @staticmethod # known case of __new__
    def __new__(S, *more): # real signature unknown; restored from __doc__
        """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
        pass

    def __ne__(self, y): # real signature unknown; restored from __doc__
        """ x.__ne__(y) <==> x!=y """
        pass

    def __repr__(self): # real signature unknown; restored from __doc__
        """ x.__repr__() <==> repr(x) """
        pass

    def __rmul__(self, n): # real signature unknown; restored from __doc__
        """ x.__rmul__(n) <==> n*x """
        pass

    def __sizeof__(self): # real signature unknown; restored from __doc__
        """ T.__sizeof__() -- size of T in memory, in bytes """
        pass

tuple
list

》字典

  字典是无序的,也是没有下标的

 1 # Keep Calm and Carry on
 2 # _*_coding:utf-8_*_
 3 # Author: NeverCtrl_C
 4 """
 5 """
 6 dic = {
 7     "name" : "fury",
 8     "age" : 123,
 9     "salary" : 15600
10 
11 }
12 print(dic) # 打印整个字典
13 print(dic["name"]) # 打印字典中指定关键字所对应的内容
14 # 字典时没有下标的,故字典是无序的;所以打印字典的全部内容时是要变化的
字典的创建和打印
# Keep Calm and Carry on
# _*_coding:utf-8_*_
# Author: NeverCtrl_C
"""
"""
dic = {
    1 : {"name" : "fury1","age" : 21 , "salary" : 15601},
    2 : {"name" : "fury2","age" : 22 , "salary" : 15602},
    3 : {"name" : "fury3","age" : 23 , "salary" : 15603},
}
print(dic)
#增加一个K-V值
print("===start===")
dic[4] = {"name" : "fury4","age" : 24 , "salary" : 15604}
print(dic)
#删除字典中的所有内容,key 和 value一起删掉
print("===one===")
print(dic)
# dic.clear()
print(dic)
# 浅复制(类似于列表list)
print("===two===")
dic1 = dic.copy()
print(dic1)
# dic1[1]["name"] = "fury"   # value值是一个字典时会是一改全改(类似于列表)
# dic1[1] = "hello" # value值不是字典时,改的谁就是改的谁
print(dic)
print(dic1)
print("===three===")
dic2 = dic.fromkeys()
print(dic2)
字典元素的增加、删除、字典复制
class dict(object):
    """
    dict() -> new empty dictionary
    dict(mapping) -> new dictionary initialized from a mapping object's
        (key, value) pairs
    dict(iterable) -> new dictionary initialized as if via:
        d = {}
        for k, v in iterable:
            d[k] = v
    dict(**kwargs) -> new dictionary initialized with the name=value pairs
        in the keyword argument list.  For example:  dict(one=1, two=2)
    """

    def clear(self): # real signature unknown; restored from __doc__
        """ 清除内容 """
        """ D.clear() -> None.  Remove all items from D. """
        pass

    def copy(self): # real signature unknown; restored from __doc__
        """ 浅拷贝 """
        """ D.copy() -> a shallow copy of D """
        pass

    @staticmethod # known case
    def fromkeys(S, v=None): # real signature unknown; restored from __doc__
        """
        dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
        v defaults to None.
        """
        pass

    def get(self, k, d=None): # real signature unknown; restored from __doc__
        """ 根据key获取值,d是默认值 """
        """ D.get(k[,d]) -> D[k] if k in D, else d.  d defaults to None. """
        pass

    def has_key(self, k): # real signature unknown; restored from __doc__
        """ 是否有key """
        """ D.has_key(k) -> True if D has a key k, else False """
        return False

    def items(self): # real signature unknown; restored from __doc__
        """ 所有项的列表形式 """
        """ D.items() -> list of D's (key, value) pairs, as 2-tuples """
        return []

    def iteritems(self): # real signature unknown; restored from __doc__
        """ 项可迭代 """
        """ D.iteritems() -> an iterator over the (key, value) items of D """
        pass

    def iterkeys(self): # real signature unknown; restored from __doc__
        """ key可迭代 """
        """ D.iterkeys() -> an iterator over the keys of D """
        pass

    def itervalues(self): # real signature unknown; restored from __doc__
        """ value可迭代 """
        """ D.itervalues() -> an iterator over the values of D """
        pass

    def keys(self): # real signature unknown; restored from __doc__
        """ 所有的key列表 """
        """ D.keys() -> list of D's keys """
        return []

    def pop(self, k, d=None): # real signature unknown; restored from __doc__
        """ 获取并在字典中移除 """
        """
        D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
        If key is not found, d is returned if given, otherwise KeyError is raised
        """
        pass

    def popitem(self): # real signature unknown; restored from __doc__
        """ 获取并在字典中移除 """
        """
        D.popitem() -> (k, v), remove and return some (key, value) pair as a
        2-tuple; but raise KeyError if D is empty.
        """
        pass

    def setdefault(self, k, d=None): # real signature unknown; restored from __doc__
        """ 如果key不存在,则创建,如果存在,则返回已存在的值且不修改 """
        """ D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D """
        pass

    def update(self, E=None, **F): # known special case of dict.update
        """ 更新
            {'name':'alex', 'age': 18000}
            [('name','sbsbsb'),]
        """
        """
        D.update([E, ]**F) -> None.  Update D from dict/iterable E and F.
        If E present and has a .keys() method, does:     for k in E: D[k] = E[k]
        If E present and lacks .keys() method, does:     for (k, v) in E: D[k] = v
        In either case, this is followed by: for k in F: D[k] = F[k]
        """
        pass

    def values(self): # real signature unknown; restored from __doc__
        """ 所有的值 """
        """ D.values() -> list of D's values """
        return []

    def viewitems(self): # real signature unknown; restored from __doc__
        """ 所有项,只是将内容保存至view对象中 """
        """ D.viewitems() -> a set-like object providing a view on D's items """
        pass

    def viewkeys(self): # real signature unknown; restored from __doc__
        """ D.viewkeys() -> a set-like object providing a view on D's keys """
        pass

    def viewvalues(self): # real signature unknown; restored from __doc__
        """ D.viewvalues() -> an object providing a view on D's values """
        pass

    def __cmp__(self, y): # real signature unknown; restored from __doc__
        """ x.__cmp__(y) <==> cmp(x,y) """
        pass

    def __contains__(self, k): # real signature unknown; restored from __doc__
        """ D.__contains__(k) -> True if D has a key k, else False """
        return False

    def __delitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__delitem__(y) <==> del x[y] """
        pass

    def __eq__(self, y): # real signature unknown; restored from __doc__
        """ x.__eq__(y) <==> x==y """
        pass

    def __getattribute__(self, name): # real signature unknown; restored from __doc__
        """ x.__getattribute__('name') <==> x.name """
        pass

    def __getitem__(self, y): # real signature unknown; restored from __doc__
        """ x.__getitem__(y) <==> x[y] """
        pass

    def __ge__(self, y): # real signature unknown; restored from __doc__
        """ x.__ge__(y) <==> x>=y """
        pass

    def __gt__(self, y): # real signature unknown; restored from __doc__
        """ x.__gt__(y) <==> x>y """
        pass

    def __init__(self, seq=None, **kwargs): # known special case of dict.__init__
        """
        dict() -> new empty dictionary
        dict(mapping) -> new dictionary initialized from a mapping object's
            (key, value) pairs
        dict(iterable) -> new dictionary initialized as if via:
            d = {}
            for k, v in iterable:
                d[k] = v
        dict(**kwargs) -> new dictionary initialized with the name=value pairs
            in the keyword argument list.  For example:  dict(one=1, two=2)
        # (copied from class doc)
        """
        pass

    def __iter__(self): # real signature unknown; restored from __doc__
        """ x.__iter__() <==> iter(x) """
        pass

    def __len__(self): # real signature unknown; restored from __doc__
        """ x.__len__() <==> len(x) """
        pass

    def __le__(self, y): # real signature unknown; restored from __doc__
        """ x.__le__(y) <==> x<=y """
        pass

    def __lt__(self, y): # real signature unknown; restored from __doc__
        """ x.__lt__(y) <==> x<y """
        pass

    @staticmethod # known case of __new__
    def __new__(S, *more): # real signature unknown; restored from __doc__
        """ T.__new__(S, ...) -> a new object with type S, a subtype of T """
        pass

    def __ne__(self, y): # real signature unknown; restored from __doc__
        """ x.__ne__(y) <==> x!=y """
        pass

    def __repr__(self): # real signature unknown; restored from __doc__
        """ x.__repr__() <==> repr(x) """
        pass

    def __setitem__(self, i, y): # real signature unknown; restored from __doc__
        """ x.__setitem__(i, y) <==> x[i]=y """
        pass

    def __sizeof__(self): # real signature unknown; restored from __doc__
        """ D.__sizeof__() -> size of D in memory, in bytes """
        pass

    __hash__ = None

dict
list

》enumrate

  为可迭代的对象添加序号:返回值是序号和值,但是如果是字典类型的数据返回的值只是key值,没有value值

lis = ["warrior", "fury", "happy"]
for item1 in enumerate(lis):
    # print(item1[0],item1[1])
    # 优化:
    print(item1)

dic = {
    1: "warrior",
    2: "fury",
    3: "happy",
}

for item in enumerate(dic):
    print(item[0], item[1])
View Code
原文地址:https://www.cnblogs.com/NeverCtrl-C/p/6060676.html