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rt_analyzer/notebooks/keep_alive_measurements/timestamp_notebook.ipynb

@@ -10,18 +10,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "a19f317d",
    "metadata": {},
    "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "import statistics"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "b9dad676",
    "metadata": {},
    "outputs": [],
@@ -34,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "d0d49bb0",
    "metadata": {},
    "outputs": [],
@@ -49,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "id": "16a57b80",
    "metadata": {},
    "outputs": [
@@ -75,7 +76,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
+   "id": "4f6fb982",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "timestamp_channel0_delta_list = lines\n",
+    "round_base=5\n",
+    "channel0_mean = statistics.mean(timestamp_channel0_delta_list)\n",
+    "channel0_median =statistics.median(timestamp_channel0_delta_list)\n",
+    "channel0_stdev = statistics.stdev(timestamp_channel0_delta_list)\n",
+    "channel0_stdev_percentile = (channel0_stdev * 100) / channel0_median\n",
+    "try:\n",
+    "  channel0_mode = statistics.mode(timestamp_channel0_delta_list)\n",
+    "except statistics.StatisticsError:\n",
+    "  channel0_mode = None\n",
+    "channel0_min = min(timestamp_channel0_delta_list)\n",
+    "channel0_max = max(timestamp_channel0_delta_list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "eb6eccb1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Coupler0 (in milli seconds):\n",
+      "\tMean =    5.01265\n",
+      "\tMedian =  5.2135\n",
+      "\tMin =     1.57323\n",
+      "\tMax =     36.26763\n",
+      "\tStandart deviation =  0.88046\n",
+      "\tStandart deviation (%) =  16.88809\n",
+      "\tMode (most occurencies) =  5.09803\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"Coupler0 (in milli seconds):\")\n",
+    "print(\"\\tMean =   \", round(channel0_mean, round_base))\n",
+    "print(\"\\tMedian = \", round(channel0_median, round_base))\n",
+    "print(\"\\tMin =    \", round(channel0_min, round_base))\n",
+    "print(\"\\tMax =    \", round(channel0_max, round_base))\n",
+    "print(\"\\tStandart deviation = \", round(channel0_stdev, round_base))\n",
+    "print(\"\\tStandart deviation (%) = \", round(channel0_stdev_percentile, round_base))\n",
+    "print(\"\\tMode (most occurencies) = \", round(channel0_mode, round_base))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
    "id": "1b5ee5ae",
    "metadata": {},
    "outputs": [],
@@ -88,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "id": "18f16b77",
    "metadata": {},
    "outputs": [],
@@ -118,10 +172,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "552fc7b3",
    "metadata": {},
    "outputs": [],
+   "source": [
+    "timestamp_channel1_delta_list = lines\n",
+    "channel1_mean = statistics.mean(timestamp_channel1_delta_list)\n",
+    "channel1_median =statistics.median(timestamp_channel1_delta_list)\n",
+    "channel1_stdev = statistics.stdev(timestamp_channel1_delta_list)\n",
+    "channel1_stdev_percentile = (channel1_stdev * 100) / channel1_median\n",
+    "try:\n",
+    "  channel1_mode = statistics.mode(timestamp_channel1_delta_list)\n",
+    "except statistics.StatisticsError:\n",
+    "  channel1_mode = None\n",
+    "channel1_min = min(timestamp_channel1_delta_list)\n",
+    "channel1_max = max(timestamp_channel1_delta_list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "d6673dd1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Coupler1 (in milli seconds):\n",
+      "\tMean =    5.03696\n",
+      "\tMedian =  5.34774\n",
+      "\tMin =     1.76327\n",
+      "\tMax =     91.09253\n",
+      "\tStandart deviation =  1.05025\n",
+      "\tStandart deviation (%) =  19.63915\n",
+      "\tMode (most occurencies) =  4.07077\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\\nCoupler1 (in milli seconds):\")\n",
+    "print(\"\\tMean =   \", round(channel1_mean, round_base))\n",
+    "print(\"\\tMedian = \", round(channel1_median, round_base))\n",
+    "print(\"\\tMin =    \", round(channel1_min, round_base))\n",
+    "print(\"\\tMax =    \", round(channel1_max, round_base))\n",
+    "print(\"\\tStandart deviation = \", round(channel1_stdev, round_base))\n",
+    "print(\"\\tStandart deviation (%) = \", round(channel1_stdev_percentile, round_base))\n",
+    "print(\"\\tMode (most occurencies) = \", round(channel1_mode, round_base))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "214c6aee",
+   "metadata": {},
+   "outputs": [],
    "source": []
   }
  ],