I am trying to remove the duplicates from following list:
distinct_cur = [
{'rtc': 0, 'vf': 0, 'mtc': 0, 'doc': 'good job', 'foc': 195, 'st': 0.0, 'htc': 2, '_id': ObjectId('58e86a550a0aeff4e14ca6bb'), 'ftc': 0},
{'rtc': 0, 'vf': 0, 'mtc': 0, 'doc': 'good job', 'foc': 454, 'st': 0.8, 'htc': 1, '_id': ObjectId('58e8d03958ae6d179c2b4413'), 'ftc': 1},
{'rtc': 0, 'vf': 2, 'mtc': 1, 'doc': 'test', 'foc': 45, 'st': 0.8, 'htc': 12, '_id': ObjectId('58e8d03958ae6d180c2b4446'), 'ftc': 0}
]
Of dictionaries based on condition that if 'doc' key value text is same then one of the dictionary should be removed. I have tried the following solution:
distinct_cur = [dict(y) for y in set(tuple(x.items()) for x in cur)]
But duplicates are still present in the final list.
Below is the desired output as in 1st and 2nd distinct_cur text of key 'doc' value is same (good job):
[
{'rtc': 0, 'vf': 0, 'mtc': 0, 'doc': 'good job', 'foc': 195, 'st': 0.0, 'htc': 2, '_id': ObjectId('58e86a550a0aeff4e14ca6bb'), 'ftc': 0},
{'rtc': 0, 'vf': 2, 'mtc': 1, 'doc': 'test', 'foc': 45, 'st': 0.8, 'htc': 12, '_id': ObjectId('58e8d03958ae6d180c2b4446'), 'ftc': 0}
]