CLIΒΆ
In addition to the main library, there is also a CLI runnable module for automatically generating layouts for graphs in an edge list.
You can run this from the command line like so:
python -m graspologic.layouts --help
Which should return something like:
usage: python -m graspologic.layouts [-h] [--verbose VERBOSE] {n2vumap,n2vtsne,render} ...
Runnable module that automatically generates a layout of a graph by a provided edge list
positional arguments:
{n2vumap,n2vtsne,render}
n2vumap Auto layout using UMAP for dimensionality reduction
n2vtsne Auto layout using tSNE for dimensionality reduction
render Renders a graph via an input file
Of those commands, you can then do:
python -m graspologic.layouts n2vumap --help
Which will return something like:
usage: python -m graspologic.layouts n2vumap [-h] --edge_list EDGE_LIST [--skip_header] [--image_file IMAGE_FILE] [--location_file LOCATION_FILE] [--max_edges MAX_EDGES] [--dpi DPI]
[--allow_overlaps]
optional arguments:
-h, --help show this help message and exit
--edge_list EDGE_LIST
edge list in csv file. must be source,target,weight.
--skip_header skip first line in csv file, corresponding to header.
--image_file IMAGE_FILE
output path and filename for generated image file. required if --location_file is omitted.
--location_file LOCATION_FILE
output path and filename for location file. required if --image_file is omitted.
--max_edges MAX_EDGES
maximum edges to keep during embedding. edges with low weights will be pruned to keep at most this many edges
--dpi DPI used with --image_file to render an image at this dpi
--allow_overlaps skip the no overlap algorithm and let nodes stack as per the results of the down projection algorithm