Given the following dictionary:
dct = {'a':3, 'b':3,'c':5,'d':3}
How can I apply these values to a list such as:
lst = ['c', 'd', 'a', 'b', 'd']
in order to get something like:
lstval = [5, 3, 3, 3, 3]
Given the following dictionary:
dct = {'a':3, 'b':3,'c':5,'d':3}
How can I apply these values to a list such as:
lst = ['c', 'd', 'a', 'b', 'd']
in order to get something like:
lstval = [5, 3, 3, 3, 3]
Using a list comprehension:
>>> [dct[k] for k in lst]
[5, 3, 3, 3, 3]
Using map
:
>>> [*map(dct.get, lst)]
[5, 3, 3, 3, 3]
You can use a list comprehension for this:
lstval = [ dct.get(k, your_fav_default) for k in lst ]
I personally propose using list comprehensions over built-in map
because it looks familiar to all Python programmers, is easier to parse and extend in case a custom default value is required.
You can iterate keys from your list using map
function:
lstval = list(map(dct.get, lst))
Or if you prefer list comprehension:
lstval = [dct[key] for key in lst]
lstval = [d[x] for x in lst]
Don't name your dictionary dict
. dict
is the name of the type.
Do not use a dict
as variable name, as it was built in.
>>> d = {'a':3, 'b':3,'c':5,'d':3}
>>> lst = ['c', 'd', 'a', 'b', 'd']
>>> map(lambda x:d.get(x, None), lst)
[5, 3, 3, 3, 3]
I would use a list comprehension:
listval = [dict.get(key, 0) for key in lst]
The .get(key, 0)
part is used to return a default value (in this case 0) if no element with this key exists in dict
.
In documentation of Python 3:
dict.items()
"Return a new view of the dictionary’s items ((key, value)
pairs)" https://docs.python.org/3/library/stdtypes.html#dict.items zip()
in conjunction with the * operator can be used to unzip a
list" https://docs.python.org/3/library/functions.html#zipSo, zip(*d.items())
give your result.
d = {'a': 1, 'b': 2, 'c': 3, 'd': 4}
print(d.items()) # [('a', 1), ('c', 3), ('b', 2), ('d', 4)] in Python 2
# dict_items([('a', 1), ('c', 3), ('b', 2), ('d', 4)]) in Python 3
print(zip(*d.items())) # [('a', 1), ('c', 3), ('b', 2), ('d', 4)] in Python 2
# <zip object at 0x7f1f8713ed40> in Python 3
k, v = zip(*d.items())
print(k) # ('a', 'c', 'b', 'd')
print(v) # (1, 3, 2, 4)
Mapping dictionary values to a nested list
The question has already been answered by many. However, no one has mentioned a solution in case the list is nested.
By changing the list in the original question to a list of lists
dct = {'a': 3, 'b': 3, 'c': 5, 'd': 3}
lst = [['c', 'd'], ['a'], ['b', 'd']]
The mapping can be done by a nested list comprehension
lstval = [[dct[e] for e in lst[idx]] for idx in range(len(lst))]
# lstval = [[5, 3], [3], [3, 3]]
Anand S Kumar rightfully pointed out that you run into problems when a value in your list is not available in the dictionary.
One more robust solution is to add an if/else condition to your list comprehension. By that you make sure the code doesn't break.
By that you only change the values in the list where you have a corresponding key in the dictionary and otherwise keep the original value.
m = {'a':3, 'b':3, 'c':5, 'd':3}
l = ['c', 'd', 'a', 'b', 'd', 'other_value']
l_updated = [m[x] if x in m else x for x in l]
[OUT]
[5, 3, 3, 3, 3, 'other_value']