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PORemoving duplicates and preserving order when elements inside the list is list itself
 

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  1. PORemoving duplicates and preserving order when elements inside the list is list itself
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    <p>I have a following problem while trying to do some nodal analysis:</p> <p>For example:</p> <pre><code>my_list=[[1,2,3,1],[2,3,1,2],[3,2,1,3]] </code></pre> <p>I want to write a function that treats the element_list inside my_list in a following way:</p> <blockquote> <p>-The number of occurrence of certain element inside the list of my_list is not important and, as long as the unique elements inside the list are same, they are identical.</p> <p>Find the identical loop based on the above premises and only keep the first one and ignore other identical lists of my_list while preserving the order.</p> </blockquote> <p>Thus, in above example the function should return just the first list which is [1,2,3,1] because all the lists inside my_list are equal based on above premises.</p> <p>I wrote a function in python to do this but I think it can be shortened and I am not sure if this is an efficient way to do it. Here is my code:</p> <pre><code>def _remove_duplicate_loops(duplicate_loop): loops=[] for i in range(len(duplicate_loop)): unique_el_list=[] for j in range(len(duplicate_loop[i])): if (duplicate_loop[i][j] not in unique_el_list): unique_el_list.append(duplicate_loop[i][j]) loops.append(unique_el_list[:]) loops_set=[set(x) for x in loops] unique_loop_dict={} for k in range(len(loops_set)): if (loops_set[k] not in list(unique_loop_dict.values())): unique_loop_dict[k]=loops_set[k] unique_loop_pos=list(unique_loop_dict.keys()) unique_loops=[] for l in range(len(unique_loop_pos)): unique_loops.append(duplicate_loop[l]) return unique_loops </code></pre>
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    1. COdoes it need to be a list? couldn't/shouldn't you use a set data structure as opposed to a list?
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    2. COAlso, Python does not use `;`.
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    3. CO@limelights : was playing with C# and Java before I visited python, the language I used 3 years ago for a short time. Thus got the habit of ;
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