For Example:
list = [1,2,2,3,3,3,4,4,4,4]
the output should be:
{1:[1],2:[2,2],3:[3,3,3],4:[4,4,4,4]}
where the key = 1 is the count of the the element 1 and the value is the list containing all the elements whose count is 1 and so on.
The following code creates three dictionaries where the case when the same count occurs multiple times is handled differently:
l = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 44, 44, 44, 44]
d_replace = dict()
d_flat = dict()
d_nested = dict()
for item in set(l):
elements = list(filter(lambda x: x == item, l))
key = len(elements)
d_replace[key] = elements
d_flat.setdefault(key, list()).extend(elements)
d_nested.setdefault(key, list()).append(elements)
print('Dictionary with replaced elements:\n', d_replace)
print('\nDictionary with a flat list of elements\n', d_flat)
print('\nDictionary with a nested lists of elements\n', d_nested)
Dictionary with replaced elements:
{1: [1], 2: [2, 2], 3: [3, 3, 3], 4: [44, 44, 44, 44]}
Dictionary with a flat list of elements
{1: [1], 2: [2, 2], 3: [3, 3, 3], 4: [4, 4, 4, 4, 44, 44, 44, 44]}
Dictionary with a nested lists of elements
{1: [[1]], 2: [[2, 2]], 3: [[3, 3, 3]], 4: [[4, 4, 4, 4], [44, 44, 44, 44]]}
d_replace
: the according list of elements is overwritten. d_flat
: contains a single list of elements with the according count d_nested
: contains a list of lists of elements with the according count You can try to use dict comprehension with filter or list comprehension
ls = [1,2,2,3,3,3,4,4,4,4]
print({ls.count(i): [el for el in ls if el == i] for i in set(ls)})
OR
print({ls.count(i): list(filter(lambda x: x == i, ls)) for i in set(ls)})
Output
{1: [1], 2: [2, 2], 3: [3, 3, 3], 4: [4, 4, 4, 4]}
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