This question already has answers here:
How do I sort a list of dictionaries by a value of the dictionary?
(20 answers)
Closed 4 years ago.
My data is in the form:
[{'value': 2, 'year': u'2015'}, {'value': 4, 'year': u'2016'}, {'value': 3, 'year': u'2018'}, {'value': 0, 'year': u'2014'}, {'value': 0, 'year': u'2017'}]
I want to sort it by year. Can you please help?
You need to specify the key function applied for comparing when sorting:
my_data = sorted( my_data, key = lambda x : x["year"])
You should use itemgetter for that:
>>> from operator import itemgetter
>>> data = [{'value': 2, 'year': u'2015'}, {'value': 4, 'year': u'2016'}, {'value': 3, 'year': u'2018'}, {'value': 0, 'year': u'2014'}, {'value': 0, 'year': u'2017'}]
>>> result = sorted(data, key=itemgetter('year'))
>>> print(result)
[{'value': 0, 'year': '2014'}, {'value': 2, 'year': '2015'}, {'value': 4, 'year': '2016'}, {'value': 0, 'year': '2017'}, {'value': 3, 'year': '2018'}]
Related
I have a question about the convert key.
First, I have this type of word count in Data Frame.
[Example]
dict = {'forest': 10, 'station': 3, 'office': 7, 'park': 2}
I want to get this result.
[Result]
result = {'name': 'forest', 'value': 10,
'name': 'station', 'value': 3,
'name': 'office', 'value': 7,
'name': 'park', 'value': 2}
Please check this issue.
As Rakesh said:
dict cannot have duplicate keys
The closest way to achieve what you want is to build something like that
my_dict = {'forest': 10, 'station': 3, 'office': 7, 'park': 2}
result = list(map(lambda x: {'name': x[0], 'value': x[1]}, my_dict.items()))
You will get
result = [
{'name': 'forest', 'value': 10},
{'name': 'station', 'value': 3},
{'name': 'office', 'value': 7},
{'name': 'park', 'value': 2},
]
As Rakesh said, You can't have duplicate values in the dictionary
You can simply try this.
dict = {'forest': 10, 'station': 3, 'office': 7, 'park': 2}
result = {}
count = 0;
for key in dict:
result[count] = {'name':key, 'value': dict[key]}
count = count + 1;
print(result)
I have several lists of dictionaries, where each dictionary contains a unique id value that is common among all lists. I'd like to combine them into a single list of dicts, where each dict is joined on that id value.
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
desired_output = [{'id': 1, 'value': 20, 'sum': 10, 'total': 30}, {'id': 2, 'value': 21, 'sum': 11, 'total': 32}]
I tried doing something like the answer found at https://stackoverflow.com/a/42018660/7564393, but I'm getting very confused since I have more than 2 lists. Should I try using a defaultdict approach? More importantly, I am NOT always going to know the other values, only that the id value is present in all dicts.
You can use itertools.groupby():
from itertools import groupby
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
desired_output = []
for _, values in groupby(sorted([*list1, *list2, *list3], key=lambda x: x['id']), key=lambda x: x['id']):
temp = {}
for d in values:
temp.update(d)
desired_output.append(temp)
Result:
[{'id': 1, 'value': 20, 'sum': 10, 'total': 30}, {'id': 2, 'value': 21, 'sum': 11, 'total': 32}]
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
# combine all lists
d = {} # id -> dict
for l in [list1, list2, list3]:
for list_d in l:
if 'id' not in list_d: continue
id = list_d['id']
if id not in d:
d[id] = list_d
else:
d[id].update(list_d)
# dicts with same id are grouped together since id is used as key
res = [v for v in d.values()]
print(res)
You can first build a dict of dicts, then turn it into a list:
from itertools import chain
from collections import defaultdict
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
dict_out = defaultdict(dict)
for d in chain(list1, list2, list3):
dict_out[d['id']].update(d)
out = list(dict_out.values())
print(out)
# [{'id': 1, 'value': 20, 'sum': 10, 'total': 30}, {'id': 2, 'value': 21, 'sum': 11, 'total': 32}]
itertools.chain allows you to iterate on all the dicts contained in the 3 lists. We build a dict dict_out having the id as key, and the corresponding dict being built as value. This way, we can easily update the already built part with the small dict of our current iteration.
Here, I have presented a functional approach without using itertools (which is excellent in rapid development work).
This solution will work for any number of lists as the function takes variable number of arguments and also let user to specify the type of return output (list/dict).
By default it returns list as you want that otherwise it returns dictionary in case if you pass as_list = False.
I preferred dictionary to solve this because its fast and search complexity is also less.
Just have a look at the below get_packed_list() function.
get_packed_list()
def get_packed_list(*dicts_lists, as_list=True):
output = {}
for dicts_list in dicts_lists:
for dictionary in dicts_list:
_id = dictionary.pop("id") # id() is in-built function so preferred _id
if _id not in output:
# Create new id
output[_id] = {"id": _id}
for key in dictionary:
output[_id][key] = dictionary[key]
dictionary["id"] = _id # push back the 'id' after work (call by reference mechanism)
if as_list:
return [output[key] for key in output]
return output # dictionary
Test
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
output = get_packed_list(list1, list2, list3)
print(output)
# [{'id': 1, 'value': 20, 'sum': 10, 'total': 30}, {'id': 2, 'value': 21, 'sum': 11, 'total': 32}]
output = get_packed_list(list1, list2, list3, as_list=False)
print(output)
# {1: {'id': 1, 'value': 20, 'sum': 10, 'total': 30}, 2: {'id': 2, 'value': 21, 'sum': 11, 'total': 32}}
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
print(list1+list2+list3)
list1 = [{'id': 1, 'value': 20}, {'id': 2, 'value': 21}]
list2 = [{'id': 1, 'sum': 10}, {'id': 2, 'sum': 11}]
list3 = [{'id': 1, 'total': 30}, {'id': 2, 'total': 32}]
result = []
for i in range(0,len(list1)):
final_dict = dict(list(list1[i].items()) + list(list2[i].items()) + list(list3[i].items()))
result.append(final_dict)
print(result)
output : [{'id': 1, 'value': 20, 'sum': 10, 'total': 30}, {'id': 2, 'value': 21, 'sum': 11, 'total': 32}]
I want to merge two lists of dictionaries, using multiple keys.
I have a single list of dicts with one set of results:
l1 = [{'id': 1, 'year': '2017', 'resultA': 2},
{'id': 2, 'year': '2017', 'resultA': 3},
{'id': 1, 'year': '2018', 'resultA': 3},
{'id': 2, 'year': '2018', 'resultA': 5}]
And another list of dicts for another set of results:
l2 = [{'id': 1, 'year': '2017', 'resultB': 5},
{'id': 2, 'year': '2017', 'resultB': 8},
{'id': 1, 'year': '2018', 'resultB': 7},
{'id': 2, 'year': '2018', 'resultB': 9}]
And I want to combine them using the 'id' and 'year' keys to get the following:
all = [{'id': 1, 'year': '2017', 'resultA': 2, 'resultB': 5},
{'id': 2, 'year': '2017', 'resultA': 3, 'resultB': 8},
{'id': 1, 'year': '2018', 'resultA': 3, 'resultB': 7},
{'id': 2, 'year': '2018', 'resultA': 5, 'resultB': 9}]
I know that for combining two lists of dicts on a single key, I can use this:
l1 = {d['id']:d for d in l1}
all = [dict(d, **l1.get(d['id'], {})) for d in l2]
But it ignores the year, providing the following incorrect result:
all = [{'id': 1, 'year': '2018', 'resultA': 3, 'resultB': 5},
{'id': 2, 'year': '2018', 'resultA': 5, 'resultB': 8},
{'id': 1, 'year': '2018', 'resultA': 3, 'resultB': 7},
{'id': 2, 'year': '2018', 'resultA': 5, 'resultB': 9}]
Treating this as I would in R, by adding in the second variable I want to merge on, I get a KeyError:
l1 = {d['id','year']:d for d in l1}
all = [dict(d, **l1.get(d['id','year'], {})) for d in l2]
How do I merge using multiple keys?
Instead of d['id','year'], use the tuple (d['id'], d['year']) as your key.
You can combine both list and groupby the resulting list on id and year. Then merge the dict together that have same keys.
Grouping can be achieved by using itertools.groupby, and merge can be done using collection.ChainMap
>>> from itertools import groupby
>>> from collections import ChainMap
>>> [dict(ChainMap(*list(g))) for _,g in groupby(sorted(l1+l2, key=lambda x: (x['id'],x['year'])),key=lambda x: (x['id'],x['year']))]
>>> [{'resultA': 2, 'id': 1, 'resultB': 5, 'year': '2017'}, {'resultA': 3, 'id': 1, 'resultB': 7, 'year': '2018'}, {'resultA': 3, 'id': 2, 'resultB': 8, 'year': '2017'}, {'resultA': 5, 'id': 2, 'resultB': 9, 'year': '2018'}]
Alternatively to avoid lambda you can also use operator.itemgetter
>>> from operator import itemgetter
>>> [dict(ChainMap(*list(g))) for _,g in groupby(sorted(l1+l2, key=itemgetter('id', 'year')),key=itemgetter('id', 'year'))]
Expanding on #AlexHall's suggestion, you can use collections.defaultdict to help you:
from collections import defaultdict
d = defaultdict(dict)
for i in l1 + l2:
results = {k: v for k, v in i.items() if k not in ('id', 'year')}
d[(i['id'], i['year'])].update(results)
Result
defaultdict(dict,
{(1, '2017'): {'resultA': 2, 'resultB': 5},
(1, '2018'): {'resultA': 3, 'resultB': 7},
(2, '2017'): {'resultA': 3, 'resultB': 8},
(2, '2018'): {'resultA': 5, 'resultB': 9}})
I have a dictionary like that:
{12: {'Soccer': {'value': 31, 'year': 2013}},
23: {'Volley': {'value': 24, 'year': 2012},'Yoga': {'value': 3, 'year': 2014}},
39: {'Baseball': {'value': 2, 'year': 2014},'basket': {'value': 4, 'year': 2012}}}
and i would like to have a dataframe like this:
index column
12 {'Soccer': {'value': 31, 'year': 2013}}
23 {'Volley': {'value': 24, 'year': 2012},'Yoga': {'value': 3, 'year': 2014}}
39 {'Baseball': {'value': 2, 'year': 2014},'basket': {'value': 4, 'year': 2012}}
with each nested dictionary set in a unique column, with the row given by the key of the external dictionary. When I use 'from_dict' with orient parameter equal to index, it considers that keys from the nested dictionaries are the labels of the columns and it makes a square dataframe instead of a single column...
Thanks a lot
Use:
df = pd.DataFrame({'column':d})
Or:
df = pd.Series(d).to_frame('column')
print (df)
column
12 {'Soccer': {'year': 2013, 'value': 31}}
23 {'Volley': {'year': 2012, 'value': 24}, 'Yoga'...
39 {'Baseball': {'year': 2014, 'value': 2}, 'bask...
In [65]: pd.DataFrame(d.values(), index=d.keys(), columns=['column'])
Out[65]:
column
12 ({'Soccer': {'value': 31, 'year': 2013}}, {'Vo...
23 ({'Soccer': {'value': 31, 'year': 2013}}, {'Vo...
39 ({'Soccer': {'value': 31, 'year': 2013}}, {'Vo...
This question already has answers here:
Remove duplicate dict in list in Python
(16 answers)
Closed 6 years ago.
I have a list of dictionaries where I want to drop any dictionaries that repeat their id key. What's the best way to do this e.g:
example dict:
product_1={ 'id': 1234, 'price': 234}
List_of_products[product1:, product2,...........]
How can I the list of products so I have non repeating products based on their product['id']
Select one of product dictionaries in which the values with the same id are different. Use itertools.groupby,
import itertools
list_products= [{'id': 12, 'price': 234},
{'id': 34, 'price': 456},
{'id': 12, 'price': 456},
{'id': 34, 'price': 78}]
list_dicts = list()
for name, group in itertools.groupby(sorted(list_products, key=lambda d : d['id']), key=lambda d : d['id']):
list_dicts.append(next(group))
print(list_dicts)
# Output
[{'price': 234, 'id': 12}, {'price': 456, 'id': 34}]
If the product dictionaries with the same id are totally the same, there is an easier way as described in Remove duplicate dict in list in Python. Here is a MWE.
list_products= [{'id': 12, 'price': 234},
{'id': 34, 'price': 456},
{'id': 12, 'price': 234},
{'id': 34, 'price': 456}]
result = [dict(t) for t in set([tuple(d.items()) for d in list_products])]
print(result)
# Output
[{'price': 456, 'id': 34}, {'price': 234, 'id': 12}]
a = [{'id': 124, 'price': 234}, {'id': 125, 'price': 234}, {'id': 1234, 'price': 234}, {'id': 1234, 'price': 234}]
a.sort()
for indx, val in enumerate(a):
if val['id'] == a[indx+1]['id']:
del a[indx]