ready to merge

docs/tutorials/Features.ipynb

@@ -423,7 +423,7 @@
    "outputs": [],
    "source": [
     "node_engagement = get_avg_node_engagement(data)\n",
-    "plot_for_snapshots(node_engagement, filename=f\"{dataset.name}_avg_node_engagement_per_ts\", y_title=\"node engagement\")"
+    "plot_for_snapshots(node_engagement, y_title=\"node engagement\", filename=\"./\" + f\"{dataset.name}_avg_node_engagement_per_ts\")"
    ]
   },
   {
@@ -447,7 +447,7 @@
    "outputs": [],
    "source": [
     "node_activity = get_avg_node_activity(data)\n",
-    "plot_for_snapshots(node_activity, filename=f\"{dataset.name}_avg_node_activity_per_ts\", y_title=\"node activity\")"
+    "plot_for_snapshots(node_activity, y_title=\"node activity\", filename=\"./\" + f\"{dataset.name}_avg_node_activity_per_ts\")"
    ]
   }
  ],

docs/tutorials/data_loader.ipynb

@@ -256,7 +256,7 @@
     }
    ],
    "source": [
-    "from tgx.utils.graph_stat import get_avg_node_engagement\n",
+    "from tgx.utils.stat import get_avg_node_engagement\n",
     "\n",
     "node_engagement = get_avg_node_engagement(data)\n",
     "filename = f\"{dataset.name}_ave_node_engagement_per_ts\"\n",

examples/data_viz.py

@@ -18,7 +18,7 @@
 dtdg = ctdg.discretize(time_scale=time_scale)[0]
 
 
-#! plotting the statistics, works
+#* plotting the statistics
 tgx.degree_over_time(dtdg, network_name=dataset.name)
 tgx.nodes_over_time(dtdg, network_name=dataset.name)
 tgx.edges_over_time(dtdg, network_name=dataset.name)
@@ -36,27 +36,26 @@
 
 
 
-#! compute statistics
+#* compute statistics
 test_ratio = 0.15
 tgx.get_reoccurrence(ctdg, test_ratio=test_ratio)
 tgx.get_surprise(ctdg, test_ratio=test_ratio)
-tgx.get_avg_node_activity(dtdg)
 tgx.get_novelty(dtdg)
 
 
 # Number of Connected Components
-tgx.connected_components_per_ts(dtdg, network_name=dataset.name, plot_path = plot_path)
+tgx.connected_components_per_ts(dtdg, network_name=dataset.name)
 
 # Size of Largest Connected Component
 component_sizes = tgx.size_connected_components(dtdg)
 largest_component_sizes = [max(inner_list) if inner_list else 0 for inner_list in component_sizes]
 filename = f"{dataset.name}_largest_connected_component_size"
-plot_for_snapshots(largest_component_sizes, filename, "Size of Largest Connected Component", plot_path = plot_path)
+plot_for_snapshots(largest_component_sizes, y_title="Size of Largest Connected Component", filename="./"+filename)
 
 # Average Node Engagement
 engagements = tgx.get_avg_node_engagement(dtdg)
 filename = f"{dataset.name}_average_node_engagement"
-plot_for_snapshots(engagements, filename, "Average Engagement", plot_path = plot_path)
+plot_for_snapshots(engagements, y_title="Average Engagement", filename="./"+filename)
 
 # Degree Density
-tgx.degree_density(dtdg, k=3, network_name=dataset.name, plot_path = plot_path)
+tgx.degree_density(dtdg, k=3, network_name=dataset.name)