实验任务6：
实验源码：
with open('data6.csv','r',encoding='gbk') as f:
data = f.readlines()
data1=[str(eval(data[i])) for i in range(1,len(data))]
data2=[str(int(eval(data[i])+0.5)) for i in range(1,len(data))]
info=[[data1[i],data2[i]] for i in range(len(data1)) ]
title = ['原始数据','四舍五入后数据']
with open('data6_processed.csv', 'w', encoding = 'gbk') as f:
f.write(','.join(title) + '\n') # 写入标题行
for item in info:
f.write(','.join(item) + '\n')
ls1 = []
ls2 = []
with open('data6_processed.csv', 'r', encoding = 'gbk') as f:
data3=f.readlines()
for i in range(1,len(data3)):
data4=data3[i].split(',')
ls1.append(data4[0].strip())
ls2.append(data4[1].strip())
print('原始数据')
print(ls1)
print('四舍五入后数据')
print(ls2)
实验运行截图：
实验任务7：
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='gbk') 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]))
实验运行截图：
实验任务8：
实验源码：
with open(r'C:\Users\28678\Downloads\实验5数据文件\hamlet.txt','r') as f:
data=f.read()
print('hamlet.txt粗略统计:')
print(f'行数:{len(data.splitlines())}')
print(f'单词数:{len(data.split())}')
print(f'字符数:{len(data)}')
print(f'空格数:{data.count(" ")}')
data1=data.splitlines()
data2=[]
for i in range(len(data1)):
data2.append(f'{i+1} '+data1[i]+'\n')
with open(r'C:\Users\28678\Downloads\实验5数据文件\hamlet_with_line_number.txt',
'w') as f:
f.writelines(data2)
实验运行截图：
实验任务9：
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])
实验运行截图：
实验任务10：
task_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)
sum1 = 0
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)
实验运行截图：
task_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'))
实验运行截图：
二、实验总结：
1. 能够在代码中正确表示文件的路径 2. 能灵活、正确使用python内置的文件读写基础操作：打开/关闭、读写、遍历，会读写csv格式文件 3. 复习字符串、列表、lambda匿名函数和sorted函数的用法，以及不同类型之间相互转换 4. 熟悉random模块、datetime模块 5. 针对具体问题场景，能够用文件和组合数据类型编程解决应用问题 标签：文件,encoding,open,编程,len,实验,print,data From： https://www.cnblogs.com/juiceup26/p/17458070.html