In the CSV I’m reading from, there are multiple rows for each ID: I need to extract each such that I will have one file per ID, with the timestamp, name, and text in that file. For example, for ID 444, it will have 2 timestamps and 2 different texts in it, along with the name. I’m able to get
Tag: defaultdict
“RuntimeError: dictionary changed size during iteration” but it’s not changed in the loop
I’m solving this LeetCode problem and here’s my code: The line for c in adjacent throws “RuntimeError: dictionary changed size during iteration”, which I don’t understand. I’m not modifying adjacent in dfs(), am I? Answer The main Problem is when dfs method is called it use…
Nested `defaultdict of defaultdict of defaultdict` each with a backreference
Using tree = lambda: dedfaultdict(tree), I can replace the following code: with: What I actually want is for each dictionary node to have a backreference to its parent dictionary node. I can do this as follows: (proof that this works: link) So, given that I was able to use tree = lambda: defaultdict(tree) to …
Python `collections.defaultdict` for the same class
I try to use a Trie data structure for some coding problem. For each node in a trie, you typically put a a list of reference of its children. So, I thought about using defaultdict to create a default empty trie node if some children does not exists in a lookup. However, I don’t know how to use defaultdi…