python 读取txt,json和hdf5文件的实例

# -*- coding: utf-8 -*-
with open("test.txt","r",encoding="gbk",errors='ignore') as f:
 print(f.read())

{
 "glossary": {
 "title": "example glossary",
 "GlossDiv": {
  "title": "S",
  "GlossList": {
  "GlossEntry": {
   "ID": "SGML",
   "SortAs": "SGML",
   "GlossTerm": "Standard Generalized Markup Language",
   "Acronym": "SGML",
   "Abbrev": "ISO 8879:1986",
   "GlossDef": {
   "para": "A meta-markup language, used to create markup languages such as DocBook.",
   "GlossSeeAlso": ["GML", "XML"]
   },
   "GlossSee": "markup"
  }
  }
 }
 }
}

import json
data = json.load(open('example.json'))
print(type(data))
print(data)

<class 'dict'>
{'glossary': {'title': 'example glossary', 'GlossDiv': {'title': 'S', 'GlossList': {'GlossEntry': {'ID': 'SGML', 'SortAs': 'SGML', 'GlossTerm': 'Standard Generalized Markup Language', 'Acronym': 'SGML', 'Abbrev': 'ISO 8879:1986', 'GlossDef': {'para': 'A meta-markup language, used to create markup languages such as DocBook.', 'GlossSeeAlso': ['GML', 'XML']}, 'GlossSee': 'markup'}}}}}

print(data['glossary']['GlossDiv']['GlossList'])

{'GlossEntry': {'ID': 'SGML', 'SortAs': 'SGML', 'GlossTerm': 'Standard Generalized Markup Language', 'Acronym': 'SGML', 'Abbrev': 'ISO 8879:1986', 'GlossDef': {'para': 'A meta-markup language, used to create markup languages such as DocBook.', 'GlossSeeAlso': ['GML', 'XML']}, 'GlossSee': 'markup'}}

# -*- coding: utf-8 -*-
#创建hdf5文件
import datetime
import os
import h5py
import numpy as np
imgData = np.zeros((30,3,128,256))
if not os.path.exists('test.hdf5'):
 with h5py.File('test.hdf5') as f:
 f['data'] = imgData   #将数据写入文件的主键data下面
 f['labels'] = range(100) 

import datetime
import os
import h5py
import numpy as np
with h5py.File('test.hdf5') as f:
 print(f)
 print(f.keys)

pd.HDFStore
import datetime
import os
import h5py
import numpy as np
import pandas as pd
data = pd.HDFStore("dataset_log.h5")
print(type(data))

<class 'pandas.io.pytables.HDFStore'>
Closing remaining open files:dataset_log.h5...done