I'm using python3 and and i have data set. That contains the following data. I'm trying to get the desire value from this data list. I have tried many ways but unable to figure out how to do that.
slots_data = [
{
"id":551,
"user_id":1,
"time":"199322002",
"expire":"199322002"
},
{
"id":552,
"user_id":1,
"time":"199322002",
"expire":"199322002"
},
{
"id":525,
"user_id":3,
"time":"199322002",
"expire":"199322002"
},
{
"id":524,
"user_id":3,
"time":"199322002",
"expire":"199322002"
},
{
"id":553,
"user_id":1,
"time":"199322002",
"expire":"199322002"
},
{
"id":550,
"user_id":2,
"time":"199322002",
"expire":"199322002"
}
]
# Desired output
# [
# {"user_id":1,"slots_ids":[551,552,553]}
# {"user_id":2,"slots_ids":[550]}
# {"user_id":3,"slots_ids":[524,525]}
# ]
I have tried in the following way and obviously this is not correct. I couldn't figure out the solution of this problem :
final_list = []
for item in slots_data:
obj = obj.dict()
obj = {
"user_id":item["user_id"],
"slot_ids":item["id"]
}
final_list.append(obj)
print(set(final_list))
The other answer added here has a nice solution, but here's one without using pandas
:
users = {}
for item in slots_data:
# Check if we've seen this user before,
if item['user_id'] not in users:
# if not, create a new entry for them
users[item['user_id']] = {'user_id': item['user_id'], 'slot_ids': []}
# Add their slot ID to their dictionary
users[item['user_id']]['slot_ids'].append(item['id'])
# We only need the values (dicts)
output_list = list(users.values())
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