Suppose I have a dictionary:
D1 = {'A1' : [2, 3], 'B1': [3, 3], 'C1' : [4, 5]}
and I wanted to remove the all 3
s from D1
so that I would get:
D1 = {'A1' : [2], 'B1': [], 'C1' : [4, 5]}
这里是单线:
threeless = {k: [e for e in v if e != 3] for k, v in D1.iteritems()}
All the answers I've read seem to me to create a new object : new dic in Eric's answer, new lists in other answers.
I think it's better to perform in place modification of each list, particularly if the number of items in the dictionary and/or the number of elements of the lists are big:
D1 = {'A1' : [2, 3], 'B1': [3, 3], 'C1' : [4, 5]}
for li in D1.itervalues():
while 3 in li:
li.remove(3)
Something like this works, assuming 3 is always appears in the value, not in the key
>>> for v in D1.values():
... if 3 in v:
... v.remove(3)
...
>>> D1
{'A1': [2], 'C1': [4, 5], 'B1': [3]}
EDIT: just realized can be multiple occurence, try this one
>>> D1 = {'A1' : [2, 3], 'B1': [3, 3], 'C1' : [4, 5]}
>>> for k, v in D1.items():
... D1[k] = filter(lambda x: x!=3, v)
...
>>> D1
{'A1': [2], 'C1': [4, 5], 'B1': []}
iterate over the keys of the D1
take the lists and remove 3
s from them.
D1 = {'A1' : [2, 3], 'B1': [3, 3], 'C1' : [4, 5]}
def rem_d(D1,n):
for d in D1:
D1[d] = [i for i in D1[d] if i != n]
rem_d(D1,3)
D1
{'A1' : [2], 'B1': [], 'C1' : [4, 5]}
for l in D1.itervalues():
l[:] = [item for item in l if item != 3]
Note that this is a weird and inefficient way to structure your data, and this removal will take a while.
Here's an approach that loops through the keys and calls filter on the lists:
>>> D1 = {'A1' : [2, 3], 'B1': [3, 3], 'C1' : [4, 5]}
>>> for k in D1:
... D1[k] = filter(lambda v: v != 3, D1[k])
...
>>> D1
{'A1': [2], 'C1': [4, 5], 'B1': []}
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