Serializing YAML with PyYAML: Difference between revisions
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=Customizing Output= | =Customizing Output= | ||
==Customizing Output with <tt>dump()</tt> Parameters== | ==Customizing Output with <tt>dump()</tt> Parameters== | ||
<syntaxhighlight lang='python'> | |||
# with the default flow style, the document is rendered in a non-indented manner | |||
print (yaml.dump(data, default_flow_style=False)) | |||
</syntaxhighlight> | |||
==Customizing Output with Representers== | ==Customizing Output with Representers== | ||
The general process of using a custom representer of a data type is described here: {{Internal|YAML_in_Python#Representer|YAML in Python | Representer}} | The general process of using a custom representer of a data type is described here: {{Internal|YAML_in_Python#Representer|YAML in Python | Representer}} |
Revision as of 23:55, 7 December 2022
Internal
Overview
The process of serialization to YAML is rendering an in-memory data structure as a YAML-formatted string. The simplest sequence of statements that does that is:
import yaml
data = {
'color': 'red',
'size': 10,
'parts': ['top', 'middle', 'bottom']
}
yaml_string = yaml.dump(data)
The YAML-formatted string will be:
color: red
parts:
- top
- middle
- bottom
size: 10
Customizing Output
Customizing Output with dump() Parameters
# with the default flow style, the document is rendered in a non-indented manner
print (yaml.dump(data, default_flow_style=False))
Customizing Output with Representers
The general process of using a custom representer of a data type is described here: