map list based on dict internal values

Question

I have a list like:

[{'sample': {'sample_context': {'board': u'9', 'encoder': u'1'}, 18421: u'1191'}}, {'sample': {'sample_context': {'board': u'5', 'encoder': u'1'}, 18422: u'2251'}}, {'sample': {'sample_context': {'board': u'9', 'encoder': u'1'}, 18423: u'2291'}}, {'sample': {25680: u'3321', 'sample_context': {'board': u'2', 'encoder': u'1'}}}, {'sample': {'sample_context': {'board': u'9', 'encoder': u'1'}, 29100: u'5591'}}]

How could I separate values i.e. 18421: u'1191', 18422: u'2251' etc based per sample_context field

I tried to do but it doesn't work, I think I need to map values based on sample_context field

[sample_sent['sample'] for sample_sent in x]

The goal is to answer give me all the values with context lets say: {'board': u'9', 'encoder': u'1'}

Looks like this one was already answered previously https://stackoverflow.com/questions/46845464/cleaner-way-to-unpack-nested-dictionaries — Reb0rN, Jul 13 '23 at 13:18

score 1 · Answer 1 · answered Jul 13 '23 at 12:44

1

Something like the following comprehension will extract such a mapping:

{k:v for d in lst for d2 in d.values() for k,v in d2.items() if isinstance(k,int)}
# {18421: '1191', 18422: '2251', 18423: '2291', 25680: '3321', 29100: '5591'}

answered Jul 13 '23 at 12:44

user2390182

72,016
6
67
89

But I need to know which value belongs to which contexts. Basically I need to map values based on contexts. – Kumar Roshan Mehta Jul 13 '23 at 12:50
Then pls show the exact data structure you would want for your sample input. – user2390182 Jul 13 '23 at 12:53
1

Ah, you mean like collect the kv pairs for lets say context "b9e1" which occurs more than once? – user2390182 Jul 13 '23 at 12:55
Yes, list of values per sample_context. So I could ask give me all the values with context lets say: {'board': u'9', 'encoder': u'1'} – Kumar Roshan Mehta Jul 13 '23 at 13:55

map list based on dict internal values

1 Answers1