Using Python for data analysis

1: How the file content format is JSON data parsing

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, data file suffix. txt 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: Occurrence Frequency statistics

Import Randomfrom Collections Import Counterfruits=[random.choice (["Apple", "Cherry", "orange", "pear", "watermelon", " Banana "]) for I in range]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 5 times in Fruits Apple 5 Banana 4pear 4

3: Method of Reloading Module Py3

Import Importlibimport.reload (ModuleName)

Which module is included in the 4:pylab

From Pylab Import *

Equivalent to the following import statement:

From Pylab import *from numpy import *from scipy import *import matplotlib