--python parsing yaml type file with Python base

Source: Internet
Author: User
Tags time and date



One, Yaml introduction

YAML full name yet another Markup Language (another markup language). Using YAML as a configuration file, the file looks intuitive, concise, and easy to understand. Yaml files can parse the data structures of dictionaries , lists , and some basic variables .

1.1 Yaml Syntax rules

Case sensitive

Using indents to represent hierarchical relationships

TAB key is not allowed when indenting, only spaces can be used

The number of indent spaces is not important as long as the same element is left to it

# indicates when line comment

1.2 Yaml Environment Building

-After installing pip, do the following

pip install pyyaml

Second, the yaml file format 2.1 Dictionary

# General dictionary

key1: value

# Nested dictionary


   sub_key1: value1

   sub_keys: value2

2.2 List

# Below the same level of para1, para2 and para3 in the same list




2.3 Ordinary variables

       The yaml configuration file can parse numbers, strings, Boolean data, time and date formats, and can also perform forced conversions on numbers and Boolean data to parse it into string data

2.3.1 Representation of None in yaml

# In yaml ~ means None


2.3.2 yaml cast data type

# In the yaml configuration, !! str data means to cast the data data to str

age: !! str 18

2.3.3 yaml date format representation

# Both time and date formats are iso8601

# Date indication

data_today: 2018-04-22

# Time format

# The following represents Beijing time 2018, 04, 22 at 16:55:30, because Beijing is located in the East Eight District, so 08:00 is added at the back, and the seconds can be written to two decimal places

time_now: 2018-04-22T16: 55: 30 + 08: 00

Three, yaml file reading

Import yaml module, need to use the official import method, compatible with windows and linux platforms

import yaml


   from yaml import CLoader as Loader, CDumper as Dumper

except ImportError:

   from yaml import Loader, Dumper

yaml_file = open ("path", "r")

data = yaml.load (yaml_file)

Fourth, use case 4.1 yaml file to be operated

# File name test.yaml


 hostname: ubuntu test



     username: root

     auth_type: ssh-key

     password: 123


     username: gungun

     auth_type: ssh-password

     password: gungun123






4.2 yaml file reading example

import yaml


   from yaml import CLoader as Loader, CDumper as Dumper

except ImportError:

   from yaml import Loader, Dumper

yaml_file = open ("test.yaml", ‘r’)

data = yaml.load (yaml_file)

print ("data_type:", type (data))

print ("data_content: \ n", data)

Print results:


{'bind1': {'user_profiles': [' gungun ',' xiangqiangun '],' hostname ':' ubuntu test ',' groups': ['bj_group'], 'remote_users': [{' username ':' root ',' auth_type ':' ssh-key ',' user1 ': None,' password ': 123}, {' username ':' gungun ',' auth_type ':' ssh-password ',' user2 ': None , 'password': 'gungun123'}]}}

01 Python basics-Python parses yaml type files

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