Fixed PM_simulation notebook

examples/pm_simulation.ipynb

@@ -192,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -293,21 +293,29 @@
    "metadata": {},
    "source": [
     "## Enact process\n",
-    "Finally we enact the process, thereby generating the *~/results* model, which we subsequently plot."
+    "Finally we enact the process, thereby generating the *~/results* model."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
     "process_execute(\"~/models/PM/to_DEVS\", {\"PM\": \"~/models/PM/example_PM\", \"DEVS library\": \"~/models/DEVS/PM_library\", \"Experiment\": \"~/models/Experiment/example_experiment\", \"result\": \"~/result\"}, {})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally plot the simulation results, by reading out the value of the string model.\n",
+    "Using this information, we split it up and then forward it to matplotlib for plotting as a boxplot."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -328,20 +336,6 @@
     "data = [[float(j) for j in i[1:]] for i in data]\n",
     "plt.boxplot(data);"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {