spacepy.datamodel.SpaceData¶
- class spacepy.datamodel.SpaceData(*args, **kwargs)[source]¶
Datamodel class extending dict by adding attributes.
flatten
()Method to collapse datamodel to one level deep
tree
(**kwargs)Print the contents of the SpaceData object in a visual tree
- flatten()[source]¶
Method to collapse datamodel to one level deep
Examples
>>> import spacepy.datamodel as dm >>> import spacepy.toolbox as tb >>> a = dm.SpaceData() >>> a['1'] = dm.SpaceData(dog = 5, pig = dm.SpaceData(fish=dm.SpaceData(a='carp', b='perch'))) >>> a['4'] = dm.SpaceData(cat = 'kitty') >>> a['5'] = 4 >>> a.tree() + |____1 |____dog |____pig |____fish |____a |____b |____4 |____cat |____5
>>> b = dm.flatten(a) >>> b.tree() + |____1<--dog |____1<--pig<--fish<--a |____1<--pig<--fish<--b |____4<--cat |____5
>>> a.flatten() >>> a.tree() + |____1<--dog |____1<--pig<--fish<--a |____1<--pig<--fish<--b |____4<--cat |____5
- tree(**kwargs)[source]¶
Print the contents of the SpaceData object in a visual tree
- Other Parameters
- verboseboolean (optional)
print more info
- spacesstring (optional)
string will added for every line
- levelsinteger (optional)
number of levels to recurse through (True means all)
- attrsboolean (optional)
display information for attributes
See also
toolbox.dictree
Examples
>>> import spacepy.datamodel as dm >>> import spacepy.toolbox as tb >>> a = dm.SpaceData() >>> a['1'] = dm.SpaceData(dog = 5) >>> a['4'] = dm.SpaceData(cat = 'kitty') >>> a['5'] = 4 >>> a.tree() + |____1 |____dog |____4 |____cat |____5