1:文件内容格式为json的数据如何解析
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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
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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 5banana 4pear 4 |
3:重新加载module的方法py3
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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：
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from pylab import *from numpy import *from scipy import *import matplotlib |
