1. 文件a.txt内容:每一行内容分别为商品名字,价钱,个数。

apple 10 3

tesla 100000 1

mac 3000 2

lenovo 30000 3

chicken 10 3

通过代码,将其构建成这种数据类型:[{'name':'apple','price':10,'amount':3},{'name':'tesla','price':1000000,'amount':1}......] 并计算出总价钱。

li = []
with open('a.txt', encoding='utf-8', mode='r') as f1:
for i in f1:
l2 = i.strip().split()
dic = {'name':l2[0], 'price':l2[1], 'amount':l2[2]}
li.append(dic)
print(li)
sum = 0
for j in li:
sum = sum + int(j['price']) * int(j['amount'])
print(sum)
优化拓展
name_list = ['name', 'price', 'amount']
li = []
with open('a.txt', encoding='utf-8', mode='r') as f1:
for i in f1:
l2 = i.strip().split()
# dic = {}
# for j in range(len(l2)):
# dic[name_list[j]] = l2[j]
dic = dict(zip(name_list, l2)) # 前面三句可以优化成这一句,易读性也更强
li.append(dic)
print(li)
sum = 0
for k in li:
sum = sum + int(k['price']) * int(k['amount'])
print(sum)

2,有如下文件:

-------

alex是老男孩python发起人,创建人。

alex其实是人妖。

谁说alex是sb?

你们真逗,alex再牛逼,也掩饰不住资深屌丝的气质。

----------

将文件中所有的alex都替换成大写的SB。

import os
with open('alex.txt', encoding='utf-8', mode='r') as f1,\
open('SB.txt', encoding='utf-8', mode='w') as f2:
for i in f1:
print(i)
new_i = i.replace('alex', 'SB')
f2.write(new_i)
os.remove('alex.txt')
os.rename('SB.txt', 'alex.txt')

3. 文件a1.txt内容:每一行内容分别为商品名字,价钱,个数。
文件内容:

name:apple price:10 amount:3 year:2012
name:tesla price:100000 amount:1 year:2013

通过代码,将其构建成这种数据类型:
[{'name':'apple','price':10,'amount':3},
{'name':'tesla','price':1000000,'amount':1}......]
并计算出总价钱。

lis = []
dic = {}
with open('a1.txt', encoding='utf-8', mode='r') as f2:
for i in f2:
li = i.strip().split()
for j in li:
KeyVal = j.split(':')
dic.setdefault(KeyVal[0], KeyVal[1])
lis.append(dic)
dic = {}
print(lis)
sum = 0
for k in lis:
sum =sum + int(k['amount'])*int(k['price'])
print(sum)
lis = []
dic = {}
with open('a1.txt', encoding='utf-8', mode='r') as f2:
for i in f2:
li = i.strip().split()
for j in li:
KeyVal = j.split(':')
dic.setdefault(KeyVal[0], KeyVal[1])
lis.append(dic)
dic = {}
print(lis)

4,文件a2.txt内容:每一行内容分别为商品名字,价钱,个数。

文件内容:
序号     部门      人数      平均年龄      备注
1       python    30        
26         单身狗
2       Linux     26        
30         没对象
3       运营部     20        
24         女生多
通过代码,将其构建成这种数据类型:
[{'序号':'1','部门':Python,'人数':30,'平均年龄':26,'备注':'单身狗'},
......]

li = []
with open('a2.txt',encoding='utf-8')as f1:
key = f1.readline().strip().split()
for i in f1:
val = i.strip().split()
dic = dict(zip(key,val))
li.append(dic)
print(li)
05-11 18:20