I have the following dictionary {44: [0, 1, 0, 3, 6]}
and need to convert this to dict1 = {44: {0:0, 1:1, 2:0, 3:3, 4:6}}
but my current for loop doesn't work:
maxnumbers = 5 #this is how many values are within the list
for i in list(range(maxnumbers)):
for k in list(dict1.keys()):
for g in dict1[k]:
newdict[i] = g
print(num4)
Can you help me? Thanks in advance.
You can use a dictionary comprehension with enumerate
:
d = {44: [0, 1, 0, 3, 6]}
{k:dict(enumerate(v)) for k,v in d.items()}
# {44: {0: 0, 1: 1, 2: 0, 3: 3, 4: 6}}
Use a simple nested dictionary-comprehension that uses enumerate
:
d = {44: [0, 1, 0, 3, 6]}
print({k: {i: x for i, x in enumerate(v)} for k, v in d.items()})
# {44: {0: 0, 1: 1, 2: 0, 3: 3, 4: 6}}
a = {44: [0, 1, 0, 3, 6]}
a= {i:{j:a[i][j] for i in a for j in range(len(a[i]))}}
print(a)
output
{44: {0: 0, 1: 1, 2: 0, 3: 3, 4: 6}}
Why your current implementation doesn't work:
for i in list(range(maxnumbers)):
for k in list(dict1.keys()):
for g in dict1[k]:
# this will iterate over all of the values in
# d1[k] and the i: v pair will be overwritten by
# the last value
newdict[i] = g
Taken in steps, this would look like:
# for value in [0, 1, 0, 3, 6]: Just take this set of values as an example
# first, value is 0, and say we are on i = 1, in the outer for loop
newdict[1] = 0
# Then it will progress to value = 1, but i has not changed
# which overwrites the previous value
newdict[1] = 1
# continues until that set of values is complete
In order to fix this, you'll want i
and the values of dict1[k]
to increment together. This can be accomplished with zip
:
for index, value in zip(range(maxnumbers), dict1[k]):
newdict[index] = value
Also, if you need access to both the keys and values, use dict.items()
:
for k, values in dict1.items():
# then you can use zip on the values
for idx, value in zip(range(maxnumbers), values):
However, the enumerate
function already facilitates this:
for k, values in dict1.items():
for idx, value in enumerate(values):
# rest of loop
This is more robust, since you don't have to find what maxnumbers
is ahead of time.
To do this in the traditional for loop that you've been using:
new_dict = {}
for k, v in dict1.items():
sub_d = {} # create a new sub_dictionary
for i, x in enumerate(v):
sub_d[i] = x
# assign that new sub_d as an element in new_dict
# when the inner for loop completes
new_dict[k] = sub_d
Or, more compactly:
d = {44: [0, 1, 0, 3, 6]}
new_d = {}
for k, v in d.items():
new_d[k] = dict(enumerate(v))
Where the dict
constructor will take an iterable of 2-element tuples
as an argument, which enumerate
provides
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