In [136]: a = [1,2,3,4,5]
In [137]: print yaml.dump(a)
[1, 2, 3, 4, 5]
In [138]: a = [1,2,3,4,5, [1,2,3]]
In [139]: print yaml.dump(a)
- 1
- 2
- 3
- 4
- 5
- [1, 2, 3]
why are the outputs of above two dumps
different? Is it possible to force pyYAML
to split the list
always?
From the documentation:
print yaml.dump(a, default_flow_style=False)
The value can be True
, False
, or None
. If None
or unspecified (that is, the default), it chooses automatically whether to use inline or block-style output. False
never uses inline, True
is always inline.
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