Oct-27-2020, 09:27 AM
Hi!
I have a pandas adjacency dataframe where I need to be able to identify any element on that dataframe by its physical numbered position, not index or column position, nor its coordinate.
the data frame is a 10,000 x 10,000 adjacency matrix:
I have tried (what i believe is) a clunky way of doing which is to stack the dataframe, convert to list then find the appropriate value at the index i am interested in:
thanks!
I have a pandas adjacency dataframe where I need to be able to identify any element on that dataframe by its physical numbered position, not index or column position, nor its coordinate.
the data frame is a 10,000 x 10,000 adjacency matrix:
adj.shape
(10103, 10103)Instead of doing something like
adj.iloc[coord1], [coord2]](which works fine), i need to be able to find the value on the data frame by its physical number from 0 - 100,000,000 (0 being the very first field and 100,000,000 being the very last.
I have tried (what i believe is) a clunky way of doing which is to stack the dataframe, convert to list then find the appropriate value at the index i am interested in:
adj().stack().tolist()[0](or any other number which tells me what the value is at that position. this also works perfectly, but I would like to be able to keep the adjacency matrix intact. any help would be much appreciated!
thanks!