Python读取和存储yaml文件的方法 Python读取和存储yaml文件的方法

YAML 是 "YAML Ain't a Markup Language"（YAML 不是一种标记语言）的递归缩写。在开发的这种语言时，YAML 的意思其实是："Yet Another Markup Language"（仍是一种标记语言）。

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YAML 的语法和其他高级语言类似，并且可以简单表达清单、散列表，标量等数据形态。它使用空白符号缩进和大量依赖外观的特色，特别适合用来表达或编辑数据结构、各种配置文件、倾印调试内容、文件大纲（例如：许多电子邮件标题格式和YAML非常接近）。
基本语法

大小写敏感
使用缩进表示层级关系
缩进不允许使用tab，只允许空格
缩进的空格数不重要，只要相同层级的元素左对齐即可
'#'表示注释

数据类型

YAML 支持以下几种数据类型：
对象：键值对的集合，又称为映射（mapping）/ 哈希（hashes） / 字典（dictionary）
数组：一组按次序排列的值，又称为序列（sequence） / 列表（list）
纯量（scalars）：单个的、不可再分的值

关于yaml的简单介绍就到这里，今天需要用Python来读取/存储yml文件，废话补多少，直接看具体的操作：

#!usr/bin/env python# encoding:utf-8from __future__ import division """__Author__:沂水寒城功能： yaml 操作""" import sysimport yaml def write2Yaml(data, save_path="test.yaml"):"""存储yaml文件"""with open(save_path, "w") as f:yaml.dump(data, f) def loadData(data="https://www.it610.com/article/config.yaml"):"""加载yaml文件"""with open(data, "r") as f:content = f.read()yamlData = https://www.it610.com/article/yaml.load(content)print("yamlData_type: ", type(yamlData))print("yamlData: ", yamlData)return yamlData if __name__ == "__main__":data = https://www.it610.com/article/{"kind": "SeldonDeployment","spec": {"name": "test-deployment","predictors": [{"graph": {"endpoint": {"type": "REST"},"type": "MODEL","name": "step_one","children": {"endpoint": {"type": "REST"},"type": "MODEL","name": "step_two","children": {"endpoint": {"type": "REST"},"type": "MODEL","name": "step_three","children": [],},},},"componentSpecs": [{"spec": {"containers": [{"image": "seldonio/step_one:1.0","name": "step_one",},{"image": "seldonio/step_two:1.0","name": "step_two",},{"image": "seldonio/step_three:1.0","name": "step_three",},]}}],"name": "example","replicas": 1,}],},"apiVersion": "machinelearning.seldon.io/v1alpha2","metadata": {"name": "seldon-model"},} write2Yaml(data, save_path="test.yaml") yamlData = https://www.it610.com/article/loadData(data="test.yaml") print(yamlData =https://www.it610.com/article/= data)

上述测试用的test.yaml文件如下：

apiVersion: machinelearning.seldon.io/v1alpha2kind: SeldonDeploymentmetadata:name: seldon-modelspec:name: test-deploymentpredictors:- componentSpecs:- spec:containers:- image: seldonio/step_one:1.0name: step_one- image: seldonio/step_two:1.0name: step_two- image: seldonio/step_three:1.0name: step_threegraph:children:children:children: []endpoint:type: RESTname: step_threetype: MODELendpoint:type: RESTname: step_twotype: MODELendpoint:type: RESTname: step_onetype: MODELname: examplereplicas: 1