I have two lists of data like the following:
LIST1
[[5L, 1L, 1L, 'Personal Information'], [14L, 2L, 1L, '']]
LIST2
[{'code': 5L, 'name': 'First Name', 'value': [''], 'label': 'First Name',
'width': 0L, 'separator': ',', 'height': 0L, 'type': 2L, 'order': 1L},
{'code': 14L, 'name': 'Last Name', 'value': [''], 'label': 'Last Name',
'width': 0L, 'separator': ',', 'height': 0L, 'type': 2L, 'order': 2L},
{'code': 16L, 'name': 'Job Title', 'value': [], 'label': 'Job Title',
'width': 40L, 'separator': '', 'height': 0L, 'type': 2L, 'order': 3L}]
The important comparison values here are list[0] for each list in LIST1 and
dictionary["code"] for each dictionary in LIST2.
What I am doing is looking for a pythonic way to parse the LIST2 "code"
values and make appropriate changes to to each dictionary if the "code"
value is the first element of a list in LIST1.
The final result may look like this given that the change is adding a new
key/value of "VERIFIED"/1 for the matches.
LIST3
[{'VERIFIED':1,'code': 5L, 'name': 'First Name', 'value': [''], 'label':
'First Name', 'width': 0L, 'separator': ',', 'height': 0L, 'type': 2L,
'order': 1L}, {'VERIFIED':1,'code': 14L, 'name': 'Last Name', 'value': [''],
'label': 'Last Name', 'width': 0L, 'separator': ',', 'height': 0L, 'type':
2L, 'order': 2L}, {'code': 16L, 'name': 'Job Title', 'value': [], 'label':
'Job Title', 'width': 40L, 'separator': '', 'height': 0L, 'type': 2L,
'order': 3L}]
I know I could do this with two for loops, but am looking for a better
solution maybe involving list comprehension.
Any pointers are appreciated.
Thanks
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