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("
")
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