1 # *****************************列表操作*****************************
2 # names = ["Lihua","Rain","Jack","Xiuxiu","Peiqi","Black"]
3 # names.append('Blue')
4 # names[3]='修修'
5 # names.insert(2,["oldboy","oldgirl"])
6 # names2 = [1,2,3,4,2,5,6,2,]
7 # # new_names = names+names2
8 # names.extend(names2)
9 # print(names)
10 # print(names[4:8])
11
12 # *****************************取出names列表中索引2-10的元素，步长为2。*****************************
13 # print(names[2:11:2])
14 # print(names[-3:])
15
16 # *****************************循环names列表，打印每个元素的索引值和元素。*****************************
17 # for i in names:
18 # if names.index(i) % 2 == 0:
19 # res = names.index(i)
20 # names[res] = -1
21 # print(names.index(2,names.index(2)+1))
22
23 # *****************************购物车*****************************
24 # products = [["iphone",6888],["MacPro",14800],["小米6",2499],["Coffee",31],["Book",60],["Nike",699]]
25 # print('---------商品列表-----------')
26 # for index,i in enumerate(products):
27 # print("%s %s %s" % (index, i[0], i[1]))
28 # !-*- coding:utf-8 -*-
29 # products = [["iphone",6888],["MacPro",14800],["小米6",2499],["Coffee",31],["Book",60],["Nike",699]]
30 # shop_car = [] # 用户购物车
31 # shop_cost = 0 # 用户花费的金额
32 # exit_log = False # 标志位，默认设为False,退出
33 # while not exit_log:
34 # print("------ 商品列表 ------")
35 # for index,i in enumerate(products):
36 # print("%s %s %s"%(index,i[0],i[1]))
37 # user_choice = input("\n输入你想购买的产品序号(按“q”退出):")
38 # if user_choice.isdigit():
39 # # 判断用户输入的是否是数字
40 # user_choice = int(user_choice) #强制转换为数字
41 # # if user_choice >= 0 and user_choice < len(products):
42 # if 0 <= user_choice < len(products):
43 # # 判断用户购买的商品是否在商品列表中
44 # shop_car.append(products[user_choice]) # 加入购物车
45 # shop_cost += products[user_choice][1] # 计算费用
46 # print("\n %s 已经加入你的购物车\n"%products[user_choice])
47 # else:
48 # print("抱歉，此商品不存在\n")
49 # elif user_choice == "q":
50 # # 用户选择退出
51 # if len(shop_car)>0:
52 # # 判断用户是否购买了商品
53 # print("\n------ 你的购物车 ------")
54 # for index,i in enumerate(shop_car):
55 # # index和i为临时变量，与前一个for循环里index和i作用的列表不同，故可重用
56 # print("%s %s"%(i[0],i[1]))
57 # print("\n你此次购物的花费合计是:%s元\n"%shop_cost)
58 # exit_log = True # 退出购物
59 # else:
60 # exit_log = True # 未购买商品，不打印购物车商品，直接退出
61 # else:
62 # # 输入不合法
63 # exit_log = True
64
65 # ****************************列表出重适用相连索引,不相连索引******************************
66 # a_list =[1,1,2,3,3,4,5,3,4]
67 # b_list = []
68 # for i in a_list:
69 # if i not in b_list:
70 # b_list.append(i)
71 # print(b_list)
72
73 # ****************************列表出重适用不相连索引******************************
74 # a = [1,2,3,2,3]
75 # b = []
76 # for i in a:
77 # if i not in b:
78 # b.append(i)
79 # else:
80 # b.remove(i)
81 # print(b)
82 # ***********************map使用***********************
83 # def square(x) : # 计算平方数
84 # return x ** 2
85 # map(square, [1,2,3,4,5]) # 计算列表各个元素的平方
86
87 # ****************************求列表中不同数值转换成字符串****************************
88 # a = [1,2,3,2,3]
89 # b = []
90 # for i in a:
91 # if i not in b:
92 # b.append(i)
93 # else:
94 # b.remove(i)
95 # b = map(str,b)
96 # print(''.join(b))
97
98 # ****************************求列表中相同数值转换成字符串****************************
99 # arr = [1,2,3,2,3]
100 # c = []
101 # for i in range(0, len(arr)):
102 # for j in range(i + 1, len(arr)):
103 # if arr[i] == arr[j]:
104 # c.append(arr[i])
105 # b = map(str,c)
106 # print(','.join(b))
107
108 # ***************************列表的垃圾回收机制*****************************
109 # def extendlist(val,list=[]):
110 # list.append(val)
111 # return list
112 #
113 # list1 = extendlist(10)
114 # list2 = extendlist(123,[])
115 # list3 = extendlist('a')
116 #
117 # print('list1 = %s'%list1)
118 # print('list2 = %s'%list2)
119 # print('list3 = %s'%list3)
120
121 # **************************文件写入操作******************************
122 # f = open('test','w')
123 # f.write(t)
124 # f.close()
125
126 # **************************1到100相加******************************
127 # a = sum(range(1,101))
128 # print(a)
129
130 # **************************int数组考察******************************
131 # b = int(1.4)
132 # c = int('1.2',16)
133 # print(b,c)
134
135 # ************************求1+2!+3!....+20!的和(就是求1到20阶乘的和)********************************
136 # s = 0
137 # t = 1
138 # for n in range(1,21):
139 # t *= n
140 # s += t
141 # print(s)
142
143 # ************************************************************************
144 # n = int(5)
145 # jie = 1
146 # sum = 0
147 # i = 1
148 # while n >= i:
149 # jie = jie * i
150 # sum = sum + jie
151 # i = i + 1
152 # print(sum)
153
154 # *******************************字符串转大写操作********************************
155 # s = 'nihao'
156 # t = s.upper()
157
158 # *******************************global局部变量转全局变量**********************************
159 # a = 5
160 # def fn():
161 # global a
162 # a = 4
163 # fn()
164 # print(a)
165
166 # *******************************字典删除/修改操作**********************************
167 # dic = {"name":"zs", "age":18}
168 # del dic['name']
169 # dic2 = {"name":"la"}
170 # dic.update(dic2)
171 # print(dic)
172
173 # *******************************try使用**********************************
174 # f = open("1.txt","wb")
175 # try:
176 # f.write('hello word')
177 # except:
178 # pass
179 # finally:
180 # f.close()
181
182 # *******************************map计算平方,如果大于10输出**********************************
183 # list = [1,2,3,4,5]
184 # def fn(x) :
185 # return x**2
186 # res = map(fn,list)
187 # res = [i for i in res if i>10]
188 # print(res)
189
190 # *******************************random基础使用**********************************
191 # import random
192 # import numpy
193 # result = random.randint(10,20)
194 # res = numpy.random.randn()
195 # ret = random.random()
196 # print("正整数",result)
197 # print("5个随机小数",res)
198 # print("0-1随机小数",ret)
199
200 # *******************************正则提取中国**********************************
201 # import re
202 # str = '<div class="man">中国</div>'
203 # res = re.findall('<div class=".*">(.*?)</div>', str)
204 # #.代表可有可无;*代表任意字符，满足类名可有变化;(.*?)提取文本
205 # print(res)
206
207 # *******************************lambda(匿名函数)使用**********************************
208 # sum = lambda a,b:a*b
209 # print(sum(4,5))
210
211 # g = lambda x,y:(x + y)
212 # print(g(10,20))
213 # def g(x,y):
214 # return x+y
215 # print(g(10,20))
216
217 # *******************************字典重新key,val排序**********************************
218 # dict={"name":"zs","age":18,"city":"深圳","tel":"1362626627"}
219 # res = sorted(zip(dict.keys(),dict.values()))
220 # # 把字典里元祖转成字典key,val
221 # new_dict = {}
222 # for i in res:
223 # new_dict[i[0]] = i[1]
224 # print(new_dict)
225
226 # ***************利用collections库的Counter方法统计字符串每个单词出现的次数***************
227 # from collections import Counter
228 # a = "kjalfj;ldsjafl;hdsllfdhg;lahfbl;hl;ahlf;h"
229 # res = Counter(a)
230 # print(res)
231
232 # *******************************装饰器使用**********************************
233 # from functools import wraps
234 # import time
235 # def logit(logfile='out.log'):
236 # def logging_decorator(func):
237 # @wraps(func)
238 # def wrapped_function(*args, **kwargs):
239 # log_string = func.__name__ + " was called"
240 # print(log_string)
241 # # 打开logfile，并写入内容
242 # with open(logfile, 'a') as opened_file:
243 # # 现在将日志打到指定的logfile
244 # localtime = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
245 # opened_file.write(log_string+' '+localtime+ '\n')
246 # return func(*args, **kwargs)
247 # return wrapped_function
248 # return logging_decorator
249 #
250 # @logit()
251 # def myfunc1():
252 # pass
253 # myfunc1()
254
255 # *******************************表处理**********************************
256 # import pandas as pd
257 # io = r'C:\Users\Administrator\PycharmProjects\算法\算法\1.xls'
258 # data = pd.read_excel(io)
259 # print(data[['a','b']])
260
261 # *******************************a="hello"和b="你好"编码成bytes类型**********************************
262 # a=b"hello"
263 # b="你好".encode()
264 # print(a,b)
265
266 # *******************************统计图**********************************
267 # import numpy as np
268 # from matplotlib import pyplot as plt
269 #
270 # # fname 为 你下载的字体库路径，注意 SimHei.ttf 字体的路径
271 # zhfont1 = matplotlib.font_manager.FontProperties(fname="SimHei.ttf")
272 #
273 # x = np.arange(1, 11)
274 # y = 2 * x + 5
275 # plt.title("菜鸟教程 - 测试", fontproperties=zhfont1)
276 #
277 # # fontproperties 设置中文显示，fontsize 设置字体大小
278 # plt.xlabel("x 轴", fontproperties=zhfont1)
279 # plt.ylabel("y 轴", fontproperties=zhfont1)
280 # plt.plot(x, y)
281 # plt.show()
282
283 # *******************************类的使用**********************************
284 # class Student():
285 # def __init__(self,user_input_name):
286 # self.name = user_input_name
287 # def say_hi(self):
288 # print('Hello I\'m {}.'.format(self.name))
289 #
290 # lilei = Student('11111')
291 # lilei.say_hi()
292
293 # *******************************考虑共同类**********************************
294 # import random
295 # class Creatuere():
296 # def __init__(self,hp,name):
297 # self.hp = hp
298 # self.name = name
299 #
300 # def attack(self):
301 # attack_value = random.randint(0,50)
302 # return attack_value
303 #
304 # def being_attack(self,attack_value):
305 # self.hp = self.hp - attack_value
306 #
307 # def not_dead(self):
308 # if self.hp<0:
309 # return False
310 # else:
311 # return True
312 # def show_status(self):
313 # print('{}\'hp is {}.'.format(self.name,self.hp))
314 #
315 # player = Creatuere(100,'Bi')
316 # enemy = Creatuere(80,'en')
317 #
318 # while player.not_dead() and enemy.not_dead():
319 # player.show_status()
320 # enemy.show_status()
321 # user_input = input('attack or defence(A/D)')
322 # if user_input == 'A':
323 # player_attack_value = player.attack()
324 # enemy_attack_value = enemy.attack()
325 # enemy.being_attack(enemy_attack_value)
326 # player.being_attack(player_attack_value)
327 # elif user_input == 'D':
328 # enemy_attack_value = enemy.attack()*0.1
329 # player.being_attack(enemy_attack_value)
330 #
331 # if player.not_dead():
332 # print('you win!')
333 # else:
334 # print('you los')
335
336 # *******************************用正则过滤掉英文和数字**********************************
337 # import re
338 # a = "not 404 found 张三 99 深圳"
339 # list = a.split(" ")
340 # print(list)
341 # res = re.findall('\d+|[a-zA-Z]+',a)
342 # for i in res:
343 # if i in list:
344 # list.remove(i)
345 # new_str = ''.join(list)
346 # print(res)
347 # print(new_str)
348
349 # *******************************a="张明 98分"，用re.sub，将98替换为100**********************************
350 # import re
351 # a="张明 98分"
352 # red = re.sub(r'\d+','100',a)
353 # print(red)
354
355 # *******************************求两个列表的交集、差集、并集**********************************
356 # a = [1, 2, 3, 4]
357 # b = [4, 3, 5, 6]
358 # jj1 = [i for i in a if i in b]
359 # print('交集:',jj1)
360
361 # bj1 = list(set(a).union(set(b)))
362 # print('并集:',bj1)
363
364 # cj1 = list(set(a).difference(set(b)))
365 # print('差集:',cj1)
366
367 # new_list = []
368 # List = list(set(a + b))
369 # def git_min(List):
370 # d = min(List)
371 # new_list.append(d)
372 # List.remove(d)
373 # if len(List) >0:
374 # git_min(List)
375 # return new_list
376 # git_min(List)
377 # print('并集:',new_list)
378
379 # *******************************文本操作提取**********************************
380 # 给出一个文本文件,包含用户访问记录,每一行为id,user_id,日期,比如“j354kdfd,82242,2018-09-18”,
381 # 请给出每年的用户平均访问次数。比如2018年有两个用户,分别访问了8,6次,那么2018年的用户平均访问次数是7
382
383 # import pandas as pd
384 # f = pd.read_csv('test.csv')
385 # a = f[f['日期'].str.contains("2018")]
386 # print(a)
387 # d = f[(f['id'] == "'aaaaaaaa'") & (f['日期'].str.contains("2018"))]
388 # d1 = f[(f['id'] == "'j354kdfd'") & (f['日期'].str.contains("2018"))]
389 # print((len(d) + len(d1)) / 2)
390
391 # *******************************join使用**********************************
392 # x="123"
393 # y="321"
394 # z=["4","5","6"]
395 # print(x.join(y),x.join(z))
396
397 # *******************************打印当前时间戳**********************************
398 # import datetime
399 # a = str(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')) + ' 星期：' + str(datetime.datetime.now().isoweekday())
400 # print(a)
401
402 # *******************************字符串操作**********************************
403 # 字符串操作:实现 split E函数,函数定义为 def split(txt, delimiter)),
404 # 比如:输入abcbbcc","bc"，输出{'a','b','c'}
405
406 # def split(txt,delimiter):
407 # print(sorted(set(txt+delimiter)))
408 # split("abcbbcc","bc")
409
410 # *******************************字典和json字符串相互转化**********************************
411 # import json
412 # dic = {'name':'zs'}
413 # res = json.dumps(dic)
414 # print(type(res))
415 # ret = json.loads(res)
416 # print(ret)
417
418 # *******************************列表推导式求列表所有奇数并构造新列表**********************************
419 # a = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
420 # b = [i for i in a if i%2==0]
421 # print(b)
422
423
424 # *******************************列表嵌套字典的排序**********************************
425 # foo = [{"name":"zs","age":19},{"name":"ll","age":54},{"name":"wa","age":17},{"name":"df","age":23}]
426 # a = sorted(foo,key=lambda x : x['age'],reverse=True )
427 # print(a)
428 # b = sorted(foo,key=lambda x:x['name'])
429 # print(b)
430
431
432 #*******************************写一段自定义异常代码**********************************
433 # def f():
434 # try:
435 # for i in range(5):
436 # if i>2:
437 # raise Exception('数字大于2')
438 # except Exception as e:
439 # print(e)
440 # f()
441
442 #*******************************使用pop和del删除字典中的字段**********************************
443 # dic={"name":"zs","age":18}
444 # dic.pop('name')
445 # print(dic)
446 # dic={"name":"zs","age":18}
447 # del dic['name']
448 # print(dic)
449
450 #*******************************不许用sort,输出排序**********************************
451 # list=[2,3,5,4,9,6]，从小到大排序，不许用sort，输出[2,3,4,5,6,9]
452 # 利用min()方法求出最小值，原列表删除最小值，新列表加入最小值，递归调用获取最小值的函数，反复操作
453
454 # List = [2, 3, 5, 4, 9, 6]
455 # New_list = []
456 #
457 # def get_min(List):
458 # a = min(List)
459 # New_list.append(a)
460 # List.remove(a)
461 # if len(List) > 0:
462 # get_min(List)
463 # return New_list
464 #
465 # Newlist = get_min(List)
466 # print(Newlist)
467
468 #*******************************map 与 filter 函数区别**********************************
469 # res1 = map(lambda n: n > 5, range(10))
470 # lt1 = list(res1)
471 # print(lt1)
472 #
473 # res2 = filter(lambda n: n > 5, range(10))
474 # lt = list(res2)
475 # print(lt)
476
477 #*******************************csv文件处理**********************************
478 # import pandas as pd
479 # import os
480 # f = 'C:/Users/Administrator/PycharmProjects/Hello python/面试题/csv文件夹'
481 # for filename in os.listdir(f):
482 # data = pd.read_csv(f+'/'+filename, names=['列1', '列2', '列3', '列4', '列5'])
483 # data = pd.DataFrame(data.mean()).T.rename(index = {0:filename})
484 # print(data)
485 # data.to_csv('result.csv',mode='a+',header=0)
486
487 # data = pd.DataFrame({
488 # 'tag_id':['a','b','c','a','a','c'],
489 # 'count':[10,30,20,10,15,22]
490 # })
491 # grouped_data = data.groupby('列1')
492
493
494 #*******************************api的使用**********************************
495 # import requests
496 # def weather_api(question):
497 # url = 'http://wthrcdn.etouch.cn/weather_mini?city=' + question
498 # res = requests.get(url).json()
499 # print(res['data']['yesterday'])
500 # city = input('请输入城市：')
501 # weather_api(city)
502
503 #*******************************[[1,2],[3,4],[5,6]]一行代码展开该列表，得出[1,2,3,4,5,6]**********************************
504 # a = [[1,2],[3,4],[5,6]]
505 # b = [j for i in a for j in i]
506 # print(b)
