![]() Once we have the YAML parser imported, we can load a YAML file and parse it. Note that you don’t import pyyaml, but simply yaml: import yaml Code language: Python ( python ) Reading and parsing a YAML file with Python To use PyYAML in your scripts, import the module as follows. On some systems, you need to use pip3: pip3 install pyyaml Code language: Bash ( bash ) Use the following command to install PyYAML, preferably in a virtual environment: pip install pyyaml Code language: PowerShell ( powershell ) PyYAML is not part of the standard Python library, meaning you must install it with Pip. However, PyYAML is the most prevalent and complete implementation for parsing YAML. Multiple Python packages can parse YAML data. If you’re looking for a suitable data format for data exchange and storage, I recommend JSON, XML, or other more efficient formats like protocol buffers and Avro. It’s perhaps too versatile for simple use cases, like data exchange of simple objects. ![]() Its dependence on indentation is frustrating sometimes (however, Python developers are used to that, right?).YAML is not part of the standard Python library, while XML and JSON are.There are some downsides to using YAML with Python, too: ini files, but is still nice on the eyes and simple to write and parse. It has a richer syntax than the often used alternative. Others seem to agree, as many large projects, like Docker and Kubernetes, use YAML to define deployments. That’s exactly how I, and many other developers, use it the most. If you ask me, YAML is perfect for configuration files. A feature often used in Kubernetes definitions.ġ) Fun fact: the official YAML website is written as valid YAML files. You can store multiple documents in one YAML file with the - separator.These are the most prominent features of YAML: At the same time, it’s also easy to parse YAML, especially with Python and the PyYAML library! Its human-friendliness and readability is YAML’s biggest advantage over other formats, like JSON and XML. YAML is easy to write and read for humans, even for non-programmers. YAML is most often used for configuration files, but it’s also used for data exchange. ¹ Disclaimer I am the author of ruamel.According to the official site (1), YAML is a human-friendly data serialization language for all programming languages. Yaml.dump(data, sys.stdout, Dumper=dumper) The easiest way to suppress the output of aliases IMO is to use dumper = yaml.RoundTripDumperĭumper.ignore_aliases = lambda *args : True Which gives you the exact same output as above. Yaml.dump(cm, sys.stdout, Dumper=yaml.RoundTripDumper) Gives (preserving order and flow style, but changing the spacing around the items in the sequence, which I hope is OK with you): a: 5įrom import CommentedSeq, CommentedMap Yaml.dump(data, sys.stdout, Dumper=yaml.RoundTripDumper) And the easiest way to do that is to load the str YAML source: import sysĭata = yaml.load(yaml_str, Loader=yaml.RoundTripLoader) If you want control over how your keys are ordered and have fine control over the flow/block style of specific mapping/dict and sequence/list you should create your objects using the the specials that ruamel.yaml uses for round-tripping.
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