[plotting] adds plot label count function + removed norm of activation hists

plotting.py

@@ -81,6 +81,23 @@ def figure_activations(activations, class_names=None):
     return fig
 
 
+def figure_y(y, class_names=None, relative=False):
+    n_p = y.shape[1]
+    bins = range(n_p)
+
+    fig = plt.figure()
+    values = y.sum(axis=0)
+    if relative:
+        values = values / values.sum()
+    plt.bar(bins, values)
+    plt.xticks(bins, class_names, rotation=45)
+    plt.yscale("log")
+    plt.xlabel("Classfication Process")
+    plt.ylabel("Number of Events" + relative * " (normed)")
+    fig.tight_layout()
+    return fig
+
+
 def figure_node_activations(
     activations, truth, class_names=None, disjoint=False, sample_weight=None
 ):
@@ -110,7 +127,7 @@ def figure_node_activations(
         ax_index = quad.index(node)
         for process in range(n_p):
             label = "%i" % process if class_names is None else class_names[process]
-            plot_kwargs = {"histtype": "step", "density": True, "label": label, "range": (0.0, 1.0)}
+            plot_kwargs = {"histtype": "step", "label": label, "range": (0.0, 1.0)}
             if len(process_weights) == n_p:
                 plot_kwargs["weights"] = process_weights[process]
             ax[ax_index].hist(process_activations[process][node], bins, **plot_kwargs)