1:文件内容格式为json的数据如何解析

import json,os,syscurrent_dir=os.path.abspath(".")filename=[file for file in os.listdir(current_dir) if ".txt" in file]#得到当前目录中，后缀为.txt的数据文件fn=filename[0] if len(filename)==1 else "" #从list中取出第一个文件名if fn: # means we got a valid filename fd=open(fn) content=[json.loads(line) for line in fd] else: print("no txt file in current directory") sys.exit(1)for linedict in content: for key,value in linedict.items(): print(key,value) print("\n")

2：出现频率统计

import randomfrom collections import Counterfruits=[random.choice(["apple","cherry","orange","pear","watermelon","banana"]) for i in range(20)]print(fruits) #查看所有水果出现的次数cover_fruits=Counter(fruits)for fruit,times in cover_fruits.most_common(3): print(fruit,times)########运行结果如下：apple在fruits里出了5次apple 5 banana 4pear 4

3:重新加载module的方法py3

import importlibimport.reload(modulename)

4:pylab中包含了哪些module

from pylab import *

等效于下面的导入语句：

from pylab import * from numpy import * from scipy import * import matplotlib