Here is some nested data, that includes lists, tuples, and dictionaries:
data1 = ( 501, (None, 999), None, (None), 504 )
data2 = { 1:601, 2:None, None:603, 'four':'sixty' }
data3 = OrderedDict( [(None, 401), (12, 402), (13, None), (14, data2)] )
data = [ [None, 22, tuple([None]), (None,None), None], ( (None, 202), {None:301, 32:302, 33:data1}, data3 ) ]
Goal: Remove any keys or values (from "data") that are None. If a list or dictionary contains a value, that is itself a list, tuple, or dictionary, then RECURSE, to remove NESTED Nones.
Desired output:
[[22, (), ()], ((202,), {32: 302, 33: (501, (999,), 504)}, OrderedDict([(12, 402), (14, {'four': 'sixty', 1: 601})]))]
Or more readably, here is formatted output:
StripNones(data)= list:
. [22, (), ()]
. tuple:
. . (202,)
. . {32: 302, 33: (501, (999,), 504)}
. . OrderedDict([(12, 402), (14, {'four': 'sixty', 1: 601})])
I will propose a possible answer, as I have not found an existing solution to this. I appreciate any alternatives, or pointers to pre-existing solutions.
EDIT I forgot to mention that this has to work in Python 2.7. I can't use Python 3 at this time.
Though it IS worth posting Python 3 solutions, for others. So please indicate which python you are answering for.