I have a data frame consisting of 5.1 mio rows. Now, consider only a query of my data frame which has the following form: date ID1 ID2 201908 a X 201905 b Y 201811 a Y 201807 a Z You can assume that the date is sorted and that there are no duplicates in the subset [‘ID1’, ‘ID2’]. Now, the
Tag: bipartite
Getting all row indices in numpy 2d array where elements in each row exists more than 2 times in entire array
I am working with graph data defined as 2d array of edges. I.e. Defines a graph, all elements define a node id, there are no self loops, it is directed, and no value in a column exists in the other column. Now to the question, I need to select all edges where both ‘nodes’ occur more than once in the