实验5

task6

实验源码：

# 读取并处理原始数据with open('data6.csv','r',encoding = 'gbk') as f:
    old_data = f.read().split('\n')
del old_data[0]
#  四舍五入得到新数据
new_data = []
for i in range(len(old_data)):
    if eval(old_data[i]) + float(0.5) >= int(eval(old_data[i])) + 1:
        new_data.append(str(int(eval(old_data[i]))+1))
    else:
        new_data.append(str(int(eval(old_data[i]))))
# 形成二维列表
title = ['原始数据','四舍五入后数据']
data = []
for i in range(len(old_data)):
    data.append([old_data[i],new_data[i]])
# 写入
with open('data6.csv','w',encoding = 'gbk') as f:
    f.write(','.join(title) + '\n')
    for i in data:
        f.write(','.join(i) + '\n')
print('原始数据：')print(old_data)print('四舍五入后数据：')print(new_data)

实验结果：

 

 task7:

实验源码

with open('data7.csv','r',encoding='gbk') as f:
    data1 = f.read().split('\n')
del data1[0]
lsta = []
lstm = []
for i in data1:
    lst1 = i.split(',')
    if lst1[2] == 'Acting':
        lsta.append(lst1)
    else:lstm.append(lst1)
lstm.sort(key=lambda x:x[-1],reverse = True)
lsta.sort(key=lambda x:x[-1],reverse = True)
info = lsta + lstm
title = ['学号','姓名','专业','分数']
with open('data7_processed.csv','w',encoding='utf-8') as f:
    f.write(','.join(title)+'\n')
    for items in info:
        f.write(','.join(items)+'\n')
print('{:<10}'.format(title[0]),'{:<10}'.format(title[1]),'{:<10}'.format(title[2]),'{:<15}'.format(title[3]))
for i in info:
    print('{:<10}'.format(i[0]),'{:<10}'.format(i[1]),'{:<10}'.format(i[2]),'{:<15}'.format(i[3]))

实验结果：

 

 task8：

实验源码

lines = 0
words = 0
sum1 = 0
space = 0
with open('hamlet.txt','r',encoding='utf-8') as f:
    for line in f:
        word = line.split()
        lines += 1
        words += len(word)
        sum1 += len(line)
        for i in line:
            if i == ' ':
                space += 1
            else:
                pass
print('hamlet.txt粗滤统计:')
print(f'行数:{lines}')
print(f'单词数:{words}')
print(f'字符数:{sum1}')
print(f'空格数:{space}')

with open('hamlet.txt','r',encoding = 'utf-8') as f:
    text = f.readlines()

for i in range(len(text)):
    text[i] = str(i+1) + ' ' + text[i]

with open('hamlet_with_line_number.txt','w',encoding = 'utf-8') as f:
    f.writelines(text)

实验结果：

 

 task9：

实验源码：

def is_valid(sfz):
    if len(sfz) != 18:
        return False
    elif (sfz[:-1].isnumeric() and sfz[-1] == 'X') or sfz.isnumeric():
        return True
    else:return False


with open('data9_id.txt','r',encoding='utf-8') as f:
    data = f.read().split('\n')
del data[0]
data2 = []
data3 =[]
print('姓名,出生日期,年龄')
for i in data:
    lst = i.split(',')
    data2.append(lst)
lst2 = []
for i in data2:
    if is_valid(i[1]) == True:
        name = i[0]
        btd = i[1][6:14]
        age = str(2023 - int(i[1][6:10]))
        lst2.append([name,btd,age])
lst2.sort(key=lambda x:x[2],reverse=True)
for i in lst2:
    print(i[0],end=',')
    print(f'{i[1][:4]}-{i[1][4:6]}-{i[1][6:8]}',end=',')
    print(i[2])

实验结果：

 task10_1：

实验源码：

with open('data10_stu.txt','r',encoding='utf-8') as f:
    data = f.readlines()
print('{:*^40}'.format('抽点开始'))
n = int(input('输入随机抽点人数:'))
import random
x = []
x2 = ''
counts = 0
while counts < n:
    new = random.randint(0, len(data) - 1)
    if new in x:
        new = random.randint(0, len(data) - 1)
    else:
        counts +=1
        x.append(new)
for i in range(n):
    print(data[x[i]])
    x2 += data[x[i]]
    sum1 += n
with open('20230602.txt','w',encoding='utf-8') as f:
    f.writelines(x2)

实验结果：

 

 task10_2:

实验源码：

with open('data10_stu.txt','r',encoding='utf-8') as f:
    data = f.readlines()
print('{:*^40}'.format('抽点开始'))
n = int(input('输入随机抽点人数:'))
import random
x = []
sum1 = 0
x2 = ''
while n != 0:
    counts = 0
    while counts < n:
        new = random.randint(0, len(data) - 1)
        if new in x:
            new = random.randint(0, len(data) - 1)
        else:
            counts +=1
            x.append(new)
    for i in range(sum1,sum1+n):
        print(data[x[i]])
        x2 += data[x[i]]
    sum1 += n
    n = int(input('输入随机抽点人数:'))

with open('20230602.txt','w',encoding='utf-8') as f:
    f.writelines(x2)

print('{:*^40}'.format('抽点结束'))

实验结果：