Reputation: 71
I have a dictionary like below:
my_dict = {'A' : [1, 2, 3, 4, 5], 'B' : [10, 1, 2, 5, 8], 'C': [6, 5, 3, 1]}
I want to remove values less than 3 from "A" and "C" while B remains the same, so the output looks like the below:
my_dict = {'A' : [ 3, 4, 5], 'B' : [10, 1, 2, 5, 8], 'C': [6, 5, 3]}
How to achieve this fast and easy?
Upvotes: -3
Views: 61
Reputation: 27211
Here's an inclusive approach - i.e., we're interested in keys A and C. B would be implicitly ignored as would any other keys (apart from A and C)
my_dict = {'A' : [1, 2, 3, 4, 5], 'B' : [10, 1, 2, 5, 8], 'C': [6, 5, 3, 1]}
for key in 'AC':
my_dict[key] = [n for n in my_dict[key] if n > 2]
print(my_dict)
Output:
{'A': [3, 4, 5], 'B': [10, 1, 2, 5, 8], 'C': [6, 5, 3]}
Upvotes: 0
Reputation: 37857
I would use a dict/listcomp :
my_dict = {'A' : [1, 2, 3, 4, 5], 'B' : [10, 1, 2, 5, 8], 'C': [6, 5, 3, 1]}
out = {k: [e for e in v if e >= 3] if k != "B" else v
for k, v in my_dict.items()}
#1.29 µs ± 12.4 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)
Output :
>>> print(out)
{'A': [3, 4, 5], 'B': [10, 1, 2, 5, 8], 'C': [6, 5, 3]}
Upvotes: 2
Reputation: 6572
An ugly comprehension like that,
{k: [n for n in my_dict[k] if not n<3] for k in my_dict if k != 'B'}
will give you desired output.
Upvotes: 0