利用python实现数据分析

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