Using PyYAML, if I read in a file with blank values in a dict:
test_str = '''
attrs:
first:
second: value2
'''
This returns None
for the key first
:
>>> data = yaml.load(test_str)
>>> data
{'attrs': {'second': 'value2', 'first': None}}
But when writing, the None
value is replaced with null
:
>>> print(yaml.dump(data, default_flow_style=False))
attrs:
first: null
second: value2
Is there a way to format the dump output to print a blank scalar rather than null
?
Based on @Anthon's excellent answer, I was able to craft this solution:
def represent_none(self, _):
return self.represent_scalar('tag:yaml.org,2002:null', '')
yaml.add_representer(type(None), represent_none)
Based on my understanding of the PyYAML code, adding a representer for an existing type should simply replace the existing representer.
This is a global change and that means that all following dumps use a blank. If some unrelated other piece of code in your program relies on None
to be represented in the "normal" way, e.g. a library that you import and that uses PyYAML as well, that library will no longer work in the exepected way/correctly, in that case subclassing is the correct way to go.
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