1 yaml.compose_all()
- 源码：
- 作用：分析流中的所有
YAML文档，并产生相应的表示树。 - 解析：
# -*- coding:utf-8 -*-
# 作者：虫无涯
# 日期：2023/7/28
# 文件名称：pyyaml_compose_all.py
# 作用：yaml.compose_all()
# 联系：VX(NoamaNelson)
# 博客：https://blog.csdn.net/NoamaNelson
import yaml
doc = """
---
user1:
name: xiaoming
age: 23
password: 123456
---
user2:
name: xiaozhang
age: 24
password: 123456
---
user3:
name: xiaoli
age: 25
password: 123456
"""
trees = yaml.compose_all(doc)
for tree in trees:
print(tree)
- 输出：
MappingNode(tag='tag:yaml.org,2002:map', value=[(ScalarNode(tag='tag:yaml.org,2002:str', value='user1'), MappingNode(tag='tag:yaml.org,2002:map', value=[(ScalarNode(tag='tag:yaml.org,2002:str', value='name'), ScalarNode(tag='tag:yaml.org,2002:str', value='xiaoming')), (ScalarNode(tag='tag:yaml.org,2002:str', value='age'), ScalarNode(tag='tag:yaml.org,2002:int', value='23')), (ScalarNode(tag='tag:yaml.org,2002:str', value='password'), ScalarNode(tag='tag:yaml.org,2002:int', value='123456'))]))])
MappingNode(tag='tag:yaml.org,2002:map', value=[(ScalarNode(tag='tag:yaml.org,2002:str', value='user2'), MappingNode(tag='tag:yaml.org,2002:map', value=[(ScalarNode(tag='tag:yaml.org,2002:str', value='name'), ScalarNode(tag='tag:yaml.org,2002:str', value='xiaozhang')), (ScalarNode(tag='tag:yaml.org,2002:str', value='age'), ScalarNode(tag='tag:yaml.org,2002:int', value='24')), (ScalarNode(tag='tag:yaml.org,2002:str', value='password'), ScalarNode(tag='tag:yaml.org,2002:int', value='123456'))]))])
MappingNode(tag='tag:yaml.org,2002:map', value=[(ScalarNode(tag='tag:yaml.org,2002:str', value='user3'), MappingNode(tag='tag:yaml.org,2002:map', value=[(ScalarNode(tag='tag:yaml.org,2002:str', value='name'), ScalarNode(tag='tag:yaml.org,2002:str', value='xiaoli')), (ScalarNode(tag='tag:yaml.org,2002:str', value='age'), ScalarNode(tag='tag:yaml.org,2002:int', value='25')), (ScalarNode(tag='tag:yaml.org,2002:str', value='password'), ScalarNode(tag='tag:yaml.org,2002:int', value='123456'))]))])
2 yaml.load()
源码：
作用：解析流中的第一个
YAML文档，并生成相应的Python对象；- 解析：
# config_pyyaml.yaml如下：
user1:
name: xiaoming
age: 23
password: 123456
user2:
name: xiaozhang
age: 24
password: 123456
user3:
name: xiaoli
age: 25
password: 123456
# pyyaml_load.py如下：
# -*- coding:utf-8 -*-
# 作者：虫无涯
# 日期：2023/7/28
# 文件名称：pyyaml_load.py
# 作用：yaml.load()
# 联系：VX(NoamaNelson)
# 博客：https://blog.csdn.net/NoamaNelson
import yaml
with open('config_pyyaml.yaml', 'r') as f:
data = yaml.load(f, Loader=yaml.FullLoader)
print(data)
- 输出：
{
'user1': {
'name': 'xiaoming', 'age': 23, 'password': 123456}, 'user2': {
'name': 'xiaozhang', 'age': 24, 'password': 123456}, 'user3': {
'name': 'xiaoli', 'age': 25, 'password': 123456}}
3 yaml.load_all()
- 源码：
- 作用：解析流中的所有
YAML文档并生成相应的Python对象； - 解析：
# config_pyyaml01.yaml如下：
---
user1:
name: xiaoming
age: 23
password: 123456
---
user2:
name: xiaozhang
age: 24
password: 123456
---
user3:
name: xiaoli
age: 25
password: 123456
# pyyaml_load_all.py如下：
# -*- coding:utf-8 -*-
# 作者：虫无涯
# 日期：2023/7/28
# 文件名称：pyyaml_load_all.py
# 作用：yaml.load_all()
# 联系：VX(NoamaNelson)
# 博客：https://blog.csdn.net/NoamaNelson
import yaml
f = open('config_pyyaml01.yaml', 'r')
docs = yaml.load_all(f, Loader=yaml.FullLoader)
for doc in docs:
print(doc)
f.close()
- 输出：
{
'user1': {
'name': 'xiaoming', 'age': 23, 'password': 123456}}
{
'user2': {
'name': 'xiaozhang', 'age': 24, 'password': 123456}}
{
'user3': {
'name': 'xiaoli', 'age': 25, 'password': 123456}}
