task6.py
源代码：
1 with open('data6.csv','r',encoding='gbk') as f:
2 data1 = f.read().split('\n')
3 del data1[0]
4 print('原始数据:')
5 print(data1)
6
7 for i in range(len(data1)):
8 data1[i] = float(data1[i])
9 data2 = []
10 for i in range(len(data1)):
11 data2.append(int(data1[i]+0.5))
12 print('四舍五入后数据:')
13 print(data2)
14
15 title = ['原始数据','四舍五入后数据']
16 info = []
17 for i in range(len(data1)):
18 info.append([str(data1[i]),str(data2[i])])
19 with open('data6_processed.csv','w',encoding='gbk') as f:
20 f.write(','.join(title)+'\n')
21 for item in info:
22 f.write(','.join(item)+'\n')
运行截图：
task7
源代码：
1 with open('data7.csv','r',encoding='gbk') as f:
2 data1 = f.read().split('\n')
3 del data1[0]
4
5 lsta = []
6 lstm = []
7 for i in data1:
8 data1.sort(key = lambda i :(i[-2],i[-1]),reverse = True)
9 for i in data1:
10 lst1 = i.split(',')
11 if lst1[2] == 'Acting':
12 lsta.append(lst1)
13 else:
14 lstm.append(lst1)
15
16 info = lsta+lstm
17 title = ['学号','姓名','专业','分数']
18 with open('data7_processed.csv','w',encoding='gbk') as f:
19 f.write(','.join(title)+'\n')
20 for items in info:
21 f.write(','.join(items)+'\n')
22 print('{:<10}'.format(title[0]),'{:<10}'.format(title[1]),'{:<10}'.format(title[2]),'{:<15}'.format(title[3]))
23 for i in info:
24 print('{:<10}'.format(i[0]),'{:<10}'.format(i[1]),'{:<10}'.format(i[2]),'{:<15}'.format(i[3]))
运行截图：
task8.py
源代码：
1 with open('hamlet.txt','r') as f:
2 data = f.read()
3 print('hamlet.txt粗略统计:')
4 data1 = data.splitlines()
5 print(f'行数:{len(data1)}')
6 print(f'单词数:{len(data.split())}')
7 print(f'字符数:{len(data)}')
8 k = data.count(' ')
9 print(f'空格数:{k}')
10
11 data2=[]
12 for i in range(len(data1)):
13 data2.append(f'{i+1} '+ data1[i] + '\n')14
15 with open('hamlet_with_line_number.txt','w') as f:
16 f.writelines(data2)
运行截图：
task9.py
源代码：
1 def is_valid(a):
2 if len(a) != 18:
3 return False
4 elif (a[:-1].isnumeric() and a[-1] == 'X') or (a.isnumeric()):
5 return True
6 else:
7 return False
8
9 with open('data9_id.txt','r') as f:
10 data = f.read().split('\n')
11 del data[0]
12 data1 = []
13 print('姓名,出生日期,年龄')
14 for i in data:
15 lst = i.split(',')
16 data1.append(lst)
17 lst1 = []
18 import datetime
19 t = datetime.datetime.now().year
20 for i in data1:
21 if is_valid(i[1]) == True:
22 name = i[0]
23 btd = i[1][6:14]
24 age = str(int(t)-int(i[1][6:10]))
25 lst1.append([name,btd,age])
26 lst1.sort(key=lambda x:x[2],reverse=True)
27 for i in lst1:
28 print(i[0],end=',')
29 print(f'{i[1][:4]}-{i[1][4:6]}-{i[1][6:8]}',end=',')
30 print(i[2])
运行截图：
task10_1.py
源代码：
1 with open('data10_stu.txt','r',encoding='utf-8') as f:
2 data = f.readlines()
3 print('{:*^40}'.format('抽点开始'))
4 n = int(input('输入随机抽点人数:'))
5 import random
6 x = []
7 while len(set(x)) < n:
8 x.append(random.randint(0, len(data)-1))
9
10 lst = []
11 for i in x:
12 print(data[i],end = '\n')
13 lst.append(data[i])
14
15 import datetime
16 t = datetime.datetime.now()
17 y = t.strftime('%Y%m%d')
18 with open(f'{y}.txt','w',encoding='utf-8') as f:
19 f.writelines(lst)
运行截图：
task10_2.py
源代码：
1 with open('data10_stu.txt','r',encoding='utf-8') as f:
2 data = f.readlines()
3 print('{:*^40}'.format('抽点开始'))
4 lst1 = []
5 x = []
6 while True:
7 n = int(input('输入随机抽点人数:'))
8 if n == 0:
9 print('{:*^40}'.format('抽点结束'))
10 break
11 else:
12 x = []
13 import random
14 while len(x) < n:
15 t = random.randint(0, len(data)-1)
16 if (str(t) not in lst1) and (str(t) not in x):
17 x.append(t)
18 lst1.append(t)
19
20 lst = []
21 for i in x:
22 print(data[i],end = '\n')
23 lst.append(data[i])
24
25 import datetime
26 t = datetime.datetime.now()
27 y = t.strftime('%Y%m%d')
28 with open(f'{y}.txt','w',encoding='utf-8') as f:
29 f.writelines(lst)
运行截图：
总结： 1.datetime模块中需要注意大小写。 如：t.strftime('%Y%m%d') 结果为20230605 而t.strftime('%y%m%d')结果为230605 2.任务7对多个关键字排序的代码感觉还是有一些人为排序的因素，需要改进，但目前没有想到更好的方法。 标签：lst1,data,len,实验,print,data1,append From： https://www.cnblogs.com/ljxljx317/p/17455381.html