updated notebook

2 files changed, 324 insertions, 52 deletions

diff --git a/Metrics/Metrics-Calculation/metrics_plot/src/constants.py b/Metrics/Metrics-Calculation/metrics_plot/src/constants.py
index 58ca7549..803bae2e 100644
--- a/Metrics/Metrics-Calculation/metrics_plot/src/constants.py
+++ b/Metrics/Metrics-Calculation/metrics_plot/src/constants.py
@@ -18,8 +18,8 @@ METAMODEL = 'Meta Mode'
 
 STATE_ID = 'State Id'
 
-HUMAN_OUT_D_REP = '../statistics/humanOutput\R_20158_run_1.csv'
+HUMAN_OUT_D_REP = '../statistics/humanOutput/R_20158_run_1.csv'
 
-HUMAN_MPC_REP = '../statistics/humanOutput\R_2015246_run_1.csv'
+HUMAN_MPC_REP = '../statistics/humanOutput/R_2015246_run_1.csv'
 
-HUMAN_NA_REP = '../statistics/humanOutput\R_2016176_run_1.csv'
+HUMAN_NA_REP = '../statistics/humanOutput/R_2016176_run_1.csv'
diff --git a/Metrics/Metrics-Calculation/metrics_plot/src/metrics_distance_with_selector.ipynb b/Metrics/Metrics-Calculation/metrics_plot/src/metrics_distance_with_selector.ipynb
index e5868da0..8c57a327 100644
--- a/Metrics/Metrics-Calculation/metrics_plot/src/metrics_distance_with_selector.ipynb
+++ b/Metrics/Metrics-Calculation/metrics_plot/src/metrics_distance_with_selector.ipynb
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -78,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -149,7 +149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -184,7 +184,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -200,7 +200,9 @@
     "# Read generated models\n",
     "viatra_no_con_stats = readStats('../statistics/viatra_nocon_output/', 5000)\n",
     "viatra_con_stats = readStats('../statistics/viatra_con_output/',5000)\n",
-    "random_stats = readStats('../statistics/random_output/',5000)"
+    "random_stats = readStats('../statistics/random_output/',5000)\n",
+    "real_random_stats = readStats('../statistics/real_random_output/', 10000)\n",
+    "viatra_500_stats = readStats('../statistics/viatra500nodes/', 10000)"
    ]
   },
   {
@@ -212,18 +214,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "viatra_no_con_dic = calDistanceDic(viatra_no_con_stats, human_rep)\n",
     "viatra_con_dic = calDistanceDic(viatra_con_stats, human_rep)\n",
-    "random_dic = calDistanceDic(random_stats, human_rep)"
+    "random_dic = calDistanceDic(random_stats, human_rep)\n",
+    "real_random_dic = calDistanceDic(real_random_stats, human_rep)\n",
+    "viatra_500_dic = calDistanceDic(viatra_500_stats, human_rep)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -249,13 +253,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1bdc31418d894783b36cc79c60251f00",
+       "model_id": "cba63d8050a043018a16db6f1a0440f9",
        "version_major": 2,
        "version_minor": 0
       },
@@ -272,7 +276,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -285,18 +289,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "78565a0ec3d740908fcea753387cfc3e",
+       "model_id": "3c07dab0b6fd4c45b0168d206e99e4ea",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(SelectMultiple(description='Trajectory:', index=(0,), options={'../statistics/viatra_noc…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(11,), options={'../statistics/viatra_no…"
       ]
      },
      "metadata": {},
@@ -308,7 +312,7 @@
        "<function __main__.plot_out_na(lines)>"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -321,18 +325,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4392eb19fe1844c4affeb62f9ba9163b",
+       "model_id": "f3bb86160c964b5383bda7cdee81a1b7",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(SelectMultiple(description='Trajectory:', index=(0,), options={'../statistics/viatra_noc…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(11,), options={'../statistics/viatra_no…"
       ]
      },
      "metadata": {},
@@ -344,7 +348,7 @@
        "<function __main__.plot_out_mpc(lines)>"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -357,18 +361,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filenames = reader.readmultiplefiles('../statistics/viatra_con_output/trajectories/', 15, False)\n",
+    "trajectories = {}\n",
+    "for name in filenames:\n",
+    "    trajectories[name] = reader.readTrajectory(name)\n",
+    "\n",
+    "w = widgets.SelectMultiple(\n",
+    "    options = trajectories,\n",
+    "    value = [trajectories[filenames[0]]],\n",
+    "    description='Trajectory:',\n",
+    "    disabled=False,\n",
+    ")\n",
+    "\n",
+    "#generate random color for each line\n",
+    "colors = []\n",
+    "\n",
+    "for i in range(0, len(trajectories)):\n",
+    "    color = \"#%06x\" % random.randint(0, 0xFFFFFF)\n",
+    "    colors.append(color)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c667f0f9dcd5494f81d95c64ad900612",
+       "model_id": "ec10c88d57f14461b160572e0a3f4e0d",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(0,), options={'../statistics/viatra_con…"
       ]
      },
      "metadata": {},
@@ -380,7 +410,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -388,23 +418,23 @@
    "source": [
     "def plot_out_degree(lines):\n",
     "    plot(viatra_con_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out degree')\n",
-    "interact(plot_out_degree, lines=[[]])"
+    "interact(plot_out_degree, lines=w)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "991d8d2bfc644c82a9b079615900dc4d",
+       "model_id": "bde0cb7466f64699be0159a8404eb821",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(3,), options={'../statistics/viatra_con…"
       ]
      },
      "metadata": {},
@@ -416,7 +446,7 @@
        "<function __main__.plot_na(lines)>"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -424,23 +454,23 @@
    "source": [
     "def plot_na(lines):\n",
     "    plot(viatra_con_dic, lines, 0, lambda a: a.na_distance, colors, 'node activity')\n",
-    "interact(plot_na, lines=[[]])"
+    "interact(plot_na, lines=w)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "be65f39c2fae4c84a1d6908f3b70a86e",
+       "model_id": "9fda08a154104d80aca9d6eef3404bf1",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(3,), options={'../statistics/viatra_con…"
       ]
      },
      "metadata": {},
@@ -452,7 +482,7 @@
        "<function __main__.plot_mpc(lines)>"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -460,18 +490,18 @@
    "source": [
     "def plot_mpc(lines):\n",
     "    plot(viatra_con_dic, lines, 0, lambda a: a.mpc_distance, colors, 'MPC')\n",
-    "interact(plot_mpc, lines=[[]])"
+    "interact(plot_mpc, lines=w)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1de0db5b5c8d46de958f6b43144dac54",
+       "model_id": "5f4859e7657a4080b8ee0db66ad70b04",
        "version_major": 2,
        "version_minor": 0
       },
@@ -488,7 +518,7 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -501,13 +531,121 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "fd6387994c764904b20975a54b47bf3a",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(random_dic, lines, 0, lambda a: a.na_distance, colors, 'node activity')\n",
+    "interact(plot_out_degree, lines=[[]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "27e3897451694ffb8af3dd32bc0ece70",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(random_dic, lines, 0, lambda a: a.mpc_distance, colors, 'MPC')\n",
+    "interact(plot_out_degree, lines=[[]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "f4d0964368254b599c7cb8d6b6f9a0f4",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(Dropdown(description='lines', options=([],), value=[]), Output()), _dom_classes=('widget…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(real_random_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out degree')\n",
+    "interact(plot_out_degree, lines=[[]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "6f8fa855125b4beca603abbf801412ac",
+       "model_id": "eca026dd74a945bcbebde5cb69cfe0e2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -524,26 +662,26 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "def plot_out_degree(lines):\n",
-    "    plot(random_dic, lines, 0, lambda a: a.na_distance, colors, 'out degree')\n",
+    "    plot(real_random_dic, lines, 0, lambda a: a.na_distance, colors, 'node activity')\n",
     "interact(plot_out_degree, lines=[[]])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b4ed2adb29004908a3799bc91bf0662b",
+       "model_id": "eff1d3cd5d1a4a85b56024362890759c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -560,19 +698,153 @@
        "<function __main__.plot_out_degree(lines)>"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "def plot_out_degree(lines):\n",
-    "    plot(random_dic, lines, 0, lambda a: a.mpc_distance, colors, 'out degree')\n",
+    "    plot(real_random_dic, lines, 0, lambda a: a.mpc_distance, colors, 'MPC')\n",
     "interact(plot_out_degree, lines=[[]])"
    ]
   },
   {
    "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "filenames = reader.readmultiplefiles('../statistics/viatra500nodes/trajectories/', 15, False)\n",
+    "trajectories = {}\n",
+    "for name in filenames:\n",
+    "    trajectories[name] = reader.readTrajectory(name)\n",
+    "\n",
+    "w = widgets.SelectMultiple(\n",
+    "    options = trajectories,\n",
+    "    value = [trajectories[filenames[0]]],\n",
+    "    description='Trajectory:',\n",
+    "    disabled=False,\n",
+    ")\n",
+    "\n",
+    "#generate random color for each line\n",
+    "colors = []\n",
+    "\n",
+    "for i in range(0, len(trajectories)):\n",
+    "    color = \"#%06x\" % random.randint(0, 0xFFFFFF)\n",
+    "    colors.append(color)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e281415e80684a85ba24ab8cb48ea3fe",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(0,), options={'../statistics/viatra500n…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(viatra_500_dic, lines, 0, lambda a: a.na_distance, colors, 'node activity')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d678fee844e84e2785d50945288f833d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(0,), options={'../statistics/viatra500n…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(viatra_500_dic, lines, 0, lambda a: a.out_d_distance, colors, 'out degree')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "55ca7c3f89224cce8d3a87cf23b20f92",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "interactive(children=(SelectMultiple(description='Trajectory:', index=(0,), options={'../statistics/viatra500n…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_out_degree(lines)>"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "def plot_out_degree(lines):\n",
+    "    plot(viatra_500_dic, lines, 0, lambda a: a.mpc_distance, colors, 'mpc')\n",
+    "interact(plot_out_degree, lines=w)"
+   ]
+  },
+  {
+   "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],