1:文件内容格式为json的数据如何解析

import json,os,sys
current_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 random
from collections import Counter
fruits=[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 4
pear 4

3:重新加载module的方法py3

import importlib
import.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 numpy import *
   from scipy import *
   import matplotlib

5:pandas的相关内容

data=pandas.read_xx() #pandas.read_excel()
data.head() # data of first 5 rows
data.describe()#标准差
p=data.boxplot()

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