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 SpaceData.toCDF
SpaceData.toHDF5
SpaceData.toJSONheadedASCII
-
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: verbose : boolean (optional)
print more info
spaces : string (optional)
string will added for every line
levels : integer (optional)
number of levels to recurse through (True means all)
attrs : boolean (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
-