I have dictionary something like this, where the values are a list by itself.
import random
dict_size = 10
my_dict = dict(zip(np.random.randint(1000000,size=dict_size ),
map(lambda x: [random.randrange(10000)],range(dict_size ))))
my_dict
#
{187898: [1209],
189434: [8294],
201447: [1258],
317844: [7760],
330804: [2305],
679881: [1738],
754108: [8503],
758119: [712],
845631: [2372],
870357: [340]}
I want to get the values of the dictionary in certain order my_key_order
(I created an example of the order but I have the actual order with me) as well as flattening it.
my_key_order = [*my_dict]
Expected output:
[7760, 340, 2305, 1258, 1738, 8294, 712, 8503, 1209, 2372]
Current approach:
[*map(lambda x:my_dict[x][0], my_key_order)]
Is there any other more elegant way to do faster (may be without using lambda)?
I think a list comprehension looks a bit cleaner and simpler:
[my_dict[x][0] for x in my_key_order]
this just loops through your order and gets that item from the dictionary, unpacking it using indexing
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