如何将YAML文件解析/读取为Python对象?
例如,此YAML:
Person:
name: XYZ
添加到这个Python类:
class Person(yaml.YAMLObject):
yaml_tag = 'Person'
def __init__(self, name):
self.name = name
顺便说一下,我正在使用PyYAML。
发布于 2011-07-29 06:49:07
如果您的YAML文件如下所示:
# tree format
treeroot:
branch1:
name: Node 1
branch1-1:
name: Node 1-1
branch2:
name: Node 2
branch2-1:
name: Node 2-1
并且您已经像这样安装了PyYAML
:
pip install PyYAML
Python代码如下所示:
import yaml
with open('tree.yaml') as f:
# use safe_load instead load
dataMap = yaml.safe_load(f)
变量dataMap
现在包含一个带有树数据的字典。如果您使用PrettyPrint打印dataMap
,您将得到如下内容:
{
'treeroot': {
'branch1': {
'branch1-1': {
'name': 'Node 1-1'
},
'name': 'Node 1'
},
'branch2': {
'branch2-1': {
'name': 'Node 2-1'
},
'name': 'Node 2'
}
}
}
现在,我们已经了解了如何将数据放入Python程序中。保存数据也很简单:
with open('newtree.yaml', "w") as f:
yaml.dump(dataMap, f)
你有一个字典,现在你必须把它转换成一个Python对象:
class Struct:
def __init__(self, **entries):
self.__dict__.update(entries)
然后,您可以使用:
>>> args = your YAML dictionary
>>> s = Struct(**args)
>>> s
<__main__.Struct instance at 0x01D6A738>
>>> s...
然后跟着"Convert Python dict to object“。
有关更多信息,您可以查看pyyaml.org和this。
发布于 2016-02-07 23:32:12
来自http://pyyaml.org/wiki/PyYAMLDocumentation
add_path_resolver(tag, path, kind)
增加了一个基于路径的隐式标签解析器。路径是形成到表示图中节点的路径的键的列表。路径元素可以是字符串值、整数或无。节点类型可以是字符串、列表、字典或无。
#!/usr/bin/env python
import yaml
class Person(yaml.YAMLObject):
yaml_tag = '!person'
def __init__(self, name):
self.name = name
yaml.add_path_resolver('!person', ['Person'], dict)
data = yaml.load("""
Person:
name: XYZ
""")
print data
# {'Person': <__main__.Person object at 0x7f2b251ceb10>}
print data['Person'].name
# XYZ
发布于 2017-09-19 04:06:37
下面是一种方法,可以测试用户在virtualenv (或系统)上选择了哪个YAML实现,然后适当地定义load_yaml_file
:
load_yaml_file = None
if not load_yaml_file:
try:
import yaml
load_yaml_file = lambda fn: yaml.load(open(fn))
except:
pass
if not load_yaml_file:
import commands, json
if commands.getstatusoutput('ruby --version')[0] == 0:
def load_yaml_file(fn):
ruby = "puts YAML.load_file('%s').to_json" % fn
j = commands.getstatusoutput('ruby -ryaml -rjson -e "%s"' % ruby)
return json.loads(j[1])
if not load_yaml_file:
import os, sys
print """
ERROR: %s requires ruby or python-yaml to be installed.
apt-get install ruby
OR
apt-get install python-yaml
OR
Demonstrate your mastery of Python by using pip.
Please research the latest pip-based install steps for python-yaml.
Usually something like this works:
apt-get install epel-release
apt-get install python-pip
apt-get install libyaml-cpp-dev
python2.7 /usr/bin/pip install pyyaml
Notes:
Non-base library (yaml) should never be installed outside a virtualenv.
"pip install" is permanent:
https://stackoverflow.com/questions/1550226/python-setup-py-uninstall
Beware when using pip within an aptitude or RPM script.
Pip might not play by all the rules.
Your installation may be permanent.
Ruby is 7X faster at loading large YAML files.
pip could ruin your life.
https://stackoverflow.com/questions/46326059/
https://stackoverflow.com/questions/36410756/
https://stackoverflow.com/questions/8022240/
Never use PyYaml in numerical applications.
https://stackoverflow.com/questions/30458977/
If you are working for a Fortune 500 company, your choices are
1. Ask for either the "ruby" package or the "python-yaml"
package. Asking for Ruby is more likely to get a fast answer.
2. Work in a VM. I highly recommend Vagrant for setting it up.
""" % sys.argv[0]
os._exit(4)
# test
import sys
print load_yaml_file(sys.argv[1])
https://stackoverflow.com/questions/6866600
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