i've a list of values and I would like to iteratively append key-value pair to a python dictionary
lst = ['12233223','23232423','23453443']
i'm looking output like this:
new_list = [{'id':'12233223', 'new_id':'d2233223'},{'id':'13232423','new_id':'d3232423'}]
but I'm getting this
[{'id':13453443,'new_id':13453443},{'id':13453443,'new_id':13453443}]
Here is my code
lst = [{'id':'12233223'},{'id':'13232423',} {'id':'23453443'}]
d={}
new_list=[]
for each in lst:
d['id']= each
if len(each)==8 and each[0]==1:
new_id = each.replace('1','d',1)
d['new_id'] = new_id
new_list.append(d)
same value is added to the list for two times
You can't have a dict with all keys bearing the same value. But you can have a list of dicts instead
new_list = [{'id': each} for each in lst]
You can use a list comprehension to go through your list of dictionaries with a nested for
to get to the values. Then apply the filter condition and build new dictionaries from the eligible dictionaries/values:
lst = [{'id':'12233223'},{'id':'13232423'}, {'id':'23453443'}]
new_list = [ {**each,'new_id':"d"+n[1:]} for each in lst
for n in each.values() if len(n)==8 and n[0]=='1' ]
print(new_list)
[{'id': '12233223', 'new_id': 'd2233223'},
{'id': '13232423', 'new_id': 'd3232423'}]
If the dictionaries in lst
have other keys, you can make the nested for
more specific to obtain just the value of the 'id' keys:
new_list = [ {**each,'new_id':"d"+n[1:]} for each in lst
for n in [each['id']] if len(n)==8 and n[0]=='1' ]
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