spacepy.toolbox.dictree¶
- spacepy.toolbox.dictree(in_dict, verbose=False, spaces=None, levels=True, attrs=False, **kwargs)[source]¶
pretty print a dictionary tree
- Parameters
- in_dictdict
a complex dictionary (with substructures)
- 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
Examples
>>> import spacepy.toolbox as tb >>> d = {'grade':{'level1':[4,5,6], 'level2':[2,3,4]}, 'name':['Mary', 'John', 'Chris']} >>> tb.dictree(d) + |____grade |____level1 |____level2 |____name
More complicated example using a datamodel:
>>> from spacepy import datamodel >>> counts = datamodel.dmarray([2,4,6], attrs={'units': 'cts/s'}) >>> data = {'counts': counts, 'PI': 'Dr Zog'} >>> tb.dictree(data) + |____PI |____counts >>> tb.dictree(data, attrs=True, verbose=True) + |____PI (str [6]) |____counts (spacepy.datamodel.dmarray (3,)) :|____units (str [5])
Attributes of, e.g., a CDF or a datamodel type object (obj.attrs) are denoted by a colon.