def run_filters(num_nodes, num_edges):
nodes_df = pd.DataFrame({'n': [x for x in range(0, num_nodes)]})
edges_df = pd.DataFrame({
's': [x % num_nodes for x in range(0, num_edges)],
'd': [(x + 1) % num_nodes for x in range(0, num_edges)],
})
graph_url = graphistry.nodes(nodes_df).edges(edges_df) \
.bind(source='s', destination='d', node='n')\
.plot(render=False)
return {'nodes_df': nodes_df, 'edges_df': edges_df, 'graph_url': graph_url}
def run_filters(num_nodes, num_edges):
try:
import cudf
except Exception as e:
st.exception(RuntimeError('Failed importing cudf'))
raise e
nodes_df = cudf.DataFrame({ 'n': [x for x in range(0, num_nodes)] })
edges_df = cudf.DataFrame({
's': [x % num_nodes for x in range(0, num_edges)],
'd': [(x+1) % num_nodes for x in range(0, num_edges)],
})
graph_url = graphistry.nodes(nodes_df).edges(edges_df) \
.bind(source='s', destination='d', node='n')\
.plot(render=False)
return { 'nodes_df': nodes_df.to_pandas(), 'edges_df': edges_df.to_pandas(), 'graph_url': graph_url }