diff --git a/notebook/armand_dectec_ano.ipynb b/notebook/armand_dectec_ano.ipynb new file mode 100644 index 0000000..044ddba --- /dev/null +++ b/notebook/armand_dectec_ano.ipynb @@ -0,0 +1,12954 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "nbpresent": { + "id": "df05bc0c-5671-4955-8d0f-6bb5edc62a23" + } + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "from transplant.data.dataset import Dataset\n", + "from transplant.config import *\n", + "from transplant.visualization.graph import plot_dynamic_features\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "pd.set_option('display.max_columns', None)\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "nbpresent": { + "id": "1d1d6645-caed-408c-9edc-1c2a310bee90" + } + }, + "outputs": [], + "source": [ + "dataset = Dataset()\n", + "dataset.time_offset = 0 \n", + "train, test = dataset.get_dynamic()\n", + "df_dynamic = pd.concat([train, test])\n", + "df_dynamic.reset_index(inplace=True, drop=True) # before PR to fix bad index" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "nbpresent": { + "id": "550a775a-96f0-4497-8e18-2880d94132f6" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/vnd.plotly.v1+html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ + { + "name": "FC", + "type": "scatter", + "uid": "6dffd9a0-1ff9-11e9-8f39-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 0, + 109, + 106, + 91, + 108, + 108, + 107, + 109, + 108, + 110, + 112, + 112, + 115, + 119, + 114, + 114, + 116, + 120, + 119, + 113, + 113, + 109, + 108, + 105, + 102, + 102, + 101, + 105, + 105, + 103, + 108, + 102, + 106, + 106, + 105, + 110, + 108, + 95, + 94, + 90, + 133, + 110, + 87, + 70, + 0, + 52, + 49, + 47, + 46, + 96, + 125, + 154, + 153, + 153, + 150, + 130, + 128, + 126, + 124, + 125, + 125, + 124, + 122, + 120, + 117, + 115, + 114, + 112, + 110, + 109, + 107, + 104, + 102, + 102, + 102, + 102, + 102, + 103, + 105, + 105, + 106, + 109, + 109, + 109, + 110, + 117, + 121, + 125, + 130, + 124, + 118, + 115, + 110, + 120, + 125, + 117, + 116, + 114, + 115, + 119, + 117, + 114, + 113, + 112, + 112, + 111, + 116, + 110, + 110, + 114, + 115, + 106, + 110, + 104, + 100, + 99, + 98, + 95, + 95, + 92, + 93, + 97, + 95, + 99, + 91, + 89, + 87, + 89, + 124, + 91, + 86, + 88, + 91, + 91, + 92, + 87, + 89, + 89, + 90, + 91, + 90, + 89, + 95, + 94, + 97, + 94, + 125, + 95, + 95, + 96, + 93, + 94, + 124, + 124, + 143, + 141, + 96, + 104, + 105, + 102, + 121, + 110, + 107, + 106, + 132, + 120, + 115, + 93, + 136, + 129, + 200, + 128, + 130, + 114, + 140, + 130, + 123, + 119, + 137, + 127, + 117, + 130, + 140, + 139, + 136, + 126, + 120, + 118, + 118, + 118, + 120, + 144, + 120, + 136, + 122, + 125, + 138, + 188, + 116, + 125, + 120, + 116, + 112, + 111, + 111, + 111, + 112, + 113, + 116, + 122, + 124, + 128, + 129, + 123, + 124, + 123, + 122, + 123, + 126, + 122, + 124, + 125, + 120, + 126, + 122, + 126, + 122, + 118, + 118, + 103, + 118, + 116, + 119, + 124, + 121, + 122, + 120, + 116, + 114, + 111, + 106, + 107, + 105, + 108, + 105, + 109, + 109, + 107, + 109, + 109, + 109, + 110, + 110, + 110, + 119, + 112, + 114, + 114, + 115, + 119, + 121, + 124, + 125, + 125, + 124, + 124, + 122, + 124, + 125, + 127, + 125, + 125, + 124, + 126, + 122, + 118, + 121, + 122, + 121, + 120, + 119, + 119, + 118, + 118, + 117, + 118, + 117, + 116, + 116, + 115, + 116, + 114, + 113, + 114, + 113, + 115, + 115, + 115, + 115, + 114, + 115, + 113, + 113, + 113, + 114, + 115, + 114, + 115, + 115, + 116, + 119, + 121, + 119, + 119, + 119, + 119, + 117, + 119, + 118, + 118, + 116, + 115, + 117, + 121, + 121, + 121, + 123, + 124, + 131, + 134, + 134, + 134, + 132, + 132, + 134, + 134, + 132, + 126, + 124, + 124, + 120, + 121, + 119, + 119, + 119, + 121, + 129, + 134, + 180, + 132, + 167, + 142, + 138, + 141, + 187, + 127, + 104, + 145, + 145, + 140, + 135, + 130, + 123, + 127, + 127, + 125, + 121, + 127, + 123, + 125, + 150, + 123, + 126, + 127, + 129, + 131, + 138, + 141, + 131, + 126, + 127, + 126, + 136, + 131, + 174, + 135, + 135, + 137, + 140, + 138, + 138, + 138, + 135, + 135, + 135, + 134, + 133, + 133, + 134, + 134, + 134, + 135, + 137, + 137, + 137, + 135, + 135, + 134, + 133, + 128, + 124, + 93, + 93, + 106, + 104, + 105, + 108, + 106, + 109, + 103, + 104, + 91, + 102, + 118, + 119, + 118, + 121, + 120, + 116, + 109, + 115, + 117, + 119, + 121, + 120, + 116, + 96, + 101, + 105, + 105, + 105, + 109, + 108, + 109, + 108, + 110, + 111, + 113, + 115, + 117, + 119, + 121, + 123, + 130, + 134, + 109, + 127, + 121, + 123, + 123, + 124, + 145, + 149, + 150, + 150, + 150, + 141, + 129, + 130, + 132, + 134, + 137, + 137, + 133, + 133, + 134, + 133, + 133, + 133, + 133, + 133, + 133, + 133, + 134, + 137, + 138, + 128, + 117, + 104, + 120, + 128, + 133, + 153, + 136, + 127, + 122, + 115, + 113, + 114, + 114, + 114, + 113, + 113, + 112, + 111, + 114, + 113, + 115, + 113, + 112, + 112, + 113, + 113, + 113, + 112, + 115, + 115, + 115, + 117, + 116, + 116, + 115, + 116, + 116, + 117, + 122, + 123, + 127, + 129, + 132, + 133, + 141, + 150, + 155, + 155, + 155, + 155, + 153, + 153, + 153, + 152, + 159, + 153, + 150, + 144, + 143, + 149, + 149, + 149, + 149, + 150, + 150, + 150, + 150, + 150, + 150, + 152, + 152, + 152, + 152, + 152, + 152, + 153, + 153, + 153, + 155, + 157, + 155, + 161, + 156, + 156, + 156, + 156, + 153, + 153, + 151, + 150, + 152, + 152, + 152, + 152, + 155, + 155, + 155, + 155, + 155, + 155, + 155, + 155, + 155, + 159, + 160, + 164, + 157, + 153, + 153, + 153, + 155, + 154, + 153, + 147, + 144, + 145, + 145, + 149, + 149, + 150, + 152, + 153, + 154, + 147, + 144, + 144, + 144, + 144, + 144, + 144, + 145, + 145, + 149, + 152, + 155, + 155, + 163, + 166, + 166, + 163, + 160, + 159, + 157, + 159, + 156, + 156, + 156, + 156, + 156, + 158, + 159, + 159, + 156, + 159, + 162, + 160, + 160, + 157, + 156, + 156, + 158, + 159, + 155, + 155, + 155, + 155, + 159, + 156, + 156, + 156, + 156, + 159, + 159, + 160, + 160, + 162, + 156, + 155, + 159, + 156, + 159, + 159, + 159, + 156, + 148, + 144, + 144, + 145, + 141, + 141, + 141, + 141, + 138, + 138, + 138, + 133, + 128, + 126, + 125, + 123, + 126, + 126, + 121, + 123, + 122, + 118, + 116, + 115, + 114, + 114, + 113, + 114, + 114, + 117, + 113, + 117, + 119, + 120, + 122, + 123, + 127, + 127, + 128, + 129, + 130, + 132, + 132, + 134, + 136, + 136, + 137, + 140, + 139, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "FR", + "type": "scatter", + "uid": "6dffdae0-1ff9-11e9-8f39-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 1, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 1, + 0, + 0, + 0, + 0, + 2, + 16, + 19, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 17, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 13, + 16, + 16, + 16, + 16, + 16, + 16, + 15, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 20, + 20, + 21, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 19, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 21, + 20, + 19, + 18, + 17, + 17, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 22, + 21, + 21, + 20, + 20, + 20, + 20, + 20, + 21, + 20, + 22, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 21, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 21, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 21, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 20, + 20, + 18, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 18, + 10, + 9, + 20, + 17, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 16, + 19, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 16, + 20, + 19, + 18, + 20, + 15, + 20, + 21, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 18, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 17, + 16, + 16, + 16, + 15, + 14, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 16, + 17, + 16, + 11, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "PAPmoy", + "type": "scatter", + "uid": "6dffdb94-1ff9-11e9-8f39-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + -19, + 0, + 0, + 0, + 31, + 34, + 36, + 17, + 18, + 13, + 11, + 25, + 22, + 22, + 22, + 22, + 19, + 18, + 17, + 14, + 17, + 11, + 89, + 21, + 17, + 14, + 30, + 8, + 46, + 47, + 46, + 46, + 40, + 39, + 39, + 38, + 41, + 39, + 41, + 35, + 36, + 37, + 34, + 34, + 31, + 31, + 31, + 32, + 32, + 31, + 27, + 24, + 25, + 24, + 30, + 19, + 6, + 3, + 17, + 15, + 31, + 31, + 31, + 32, + 32, + 34, + 35, + 34, + 35, + 37, + 33, + 33, + 34, + 36, + 36, + 36, + 31, + 30, + 31, + 31, + 31, + 31, + 31, + 30, + 32, + 33, + 33, + 32, + 34, + 35, + 34, + 31, + 33, + 33, + 30, + 32, + 29, + 32, + 31, + 29, + 29, + 30, + 30, + 23, + 24, + 23, + 23, + 23, + 26, + 25, + 23, + 20, + 22, + 22, + 26, + 22, + 22, + 22, + 29, + 24, + 24, + 24, + 23, + 26, + 26, + 27, + 23, + 16, + 17, + 17, + 17, + 18, + 19, + 20, + 20, + 20, + 25, + 23, + 23, + 23, + 22, + 19, + 27, + 26, + 25, + 25, + 30, + 30, + 30, + 28, + 28, + 30, + 30, + 23, + 24, + 12, + 13, + 15, + 17, + 12, + 13, + 16, + 18, + 21, + 26, + 27, + 30, + 31, + 29, + 29, + 27, + 28, + 26, + 27, + 27, + 27, + 27, + 26, + 26, + 24, + 27, + 26, + 25, + 25, + 26, + 19, + 19, + 18, + 18, + 18, + 18, + 18, + 16, + 18, + 17, + 17, + 18, + 17, + 14, + 17, + 18, + 17, + 16, + 17, + 17, + 19, + 20, + 21, + 23, + 23, + 25, + 26, + 27, + 28, + 28, + 28, + 28, + 26, + 26, + 28, + 29, + 28, + 26, + 25, + 26, + 23, + 25, + 24, + 26, + 27, + 29, + 30, + 30, + 22, + 24, + 23, + 22, + 22, + 23, + 25, + 26, + 27, + 26, + 26, + 26, + 27, + 30, + 32, + 33, + 32, + 32, + 34, + 33, + 36, + 35, + 18, + 22, + 23, + 24, + 17, + 7, + 8, + 10, + 10, + 13, + 15, + 13, + 14, + 12, + 11, + 17, + 17, + 20, + 20, + 22, + 23, + 20, + 21, + 21, + 20, + 20, + 21, + 13, + 15, + 17, + 16, + 15, + 15, + 13, + 11, + 12, + 14, + 12, + 13, + 12, + 13, + 18, + 15, + 18, + 15, + 18, + 15, + 15, + 18, + 18, + 20, + 24, + 21, + 22, + 21, + 22, + 20, + 20, + 20, + 18, + 20, + 20, + 20, + 18, + 19, + 20, + 20, + 17, + 15, + 22, + 20, + 22, + 21, + 20, + 20, + 20, + 20, + 23, + 19, + 20, + 21, + 21, + 21, + 22, + 24, + 22, + 23, + 23, + 23, + 23, + 21, + 20, + 22, + 25, + 20, + 23, + 22, + 20, + 22, + 21, + 18, + 16, + 19, + 20, + 18, + 21, + 18, + 16, + 16, + 16, + 21, + 0, + 16, + 15, + 15, + 15, + 15, + 15, + 15, + 14, + 14, + 14, + 14, + 13, + 15, + 13, + 13, + 13, + 17, + 18, + 18, + 16, + 10, + 10, + 9, + 8, + 10, + 9, + 13, + 13, + 11, + 11, + 11, + 11, + 12, + 12, + 14, + 15, + 17, + 19, + 19, + 19, + 19, + 19, + 19, + 18, + 18, + 20, + 20, + 21, + 20, + 20, + 18, + 20, + 21, + 20, + 19, + 18, + 17, + 20, + 21, + 22, + 22, + 21, + 18, + 19, + 18, + 16, + 16, + 14, + 14, + 14, + 13, + 13, + 13, + 12, + 13, + 12, + 12, + 12, + 11, + 12, + 11, + 11, + 11, + 11, + 10, + 11, + 11, + 11, + 12, + 13, + 12, + 10, + 11, + 10, + 11, + 10, + 10, + 10, + 9, + 8, + 12, + 12, + 11, + 10, + 8, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 8, + 8, + 8, + 8, + 8, + 5, + 10, + 12, + 12, + 12, + 12, + 12, + 12, + 12, + 18, + 13, + 11, + 10, + 10, + 11, + 11, + 12, + 11, + 12, + 12, + 12, + 11, + 12, + 12, + 10, + 12, + 11, + 10, + 11, + 11, + 11, + 10, + 9, + 11, + 14, + 10, + 10, + 10, + 11, + 11, + 10, + 11, + 11, + 11, + 12, + 13, + 12, + 21, + 12, + 12, + 11, + 11, + 11, + 12, + 14, + 13, + 14, + 14, + 15, + 13, + 14, + 13, + 13, + 13, + 12, + 12, + 11, + 11, + 11, + 10, + 10, + 11, + 11, + 11, + 10, + 10, + 11, + 10, + 11, + 11, + 11, + 10, + 10, + 10, + 9, + 10, + 10, + 10, + 10, + 11, + 11, + 10, + 10, + 10, + 11, + 9, + 10, + 9, + 9, + 10, + 11, + 10, + 9, + 10, + 10, + 11, + 10, + 8, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 9, + 8, + 9, + 9, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 10, + 9, + 10, + 11, + 11, + 12, + 11, + 11, + 11, + 11, + 10, + 10, + 10, + 10, + 9, + 10, + 10, + 10, + 10, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "SpO2", + "type": "scatter", + "uid": "6dffdc2a-1ff9-11e9-8f39-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 59, + 0, + 0, + 77, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 86, + 91, + 75, + 0, + 0, + 0, + 0, + 93, + 0, + 69, + 85, + 58, + 98, + 98, + 98, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 75, + 58, + 68, + 68, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 94, + 95, + 95, + 94, + 93, + 94, + 95, + 95, + 95, + 96, + 95, + 95, + 95, + 96, + 96, + 96, + 97, + 97, + 97, + 97, + 96, + 97, + 97, + 97, + 98, + 100, + 100, + 100, + 98, + 93, + 80, + 87, + 92, + 95, + 96, + 98, + 98, + 98, + 97, + 97, + 98, + 98, + 98, + 99, + 99, + 99, + 87, + 96, + 97, + 98, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 0, + 0, + 0, + 0, + 0, + 95, + 100, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 0, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 92, + 82, + 92, + 96, + 97, + 98, + 100, + 99, + 99, + 99, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 96, + 94, + 92, + 89, + 93, + 94, + 97, + 97, + 97, + 98, + 97, + 99, + 96, + 94, + 98, + 98, + 97, + 98, + 99, + 98, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 98, + 85, + 98, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 0, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 97, + 73, + 93, + 100, + 100, + 97, + 85, + 96, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 98, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 99, + 97, + 97, + 96, + 97, + 99, + 100, + 100, + 100, + 100, + 100, + 99, + 97, + 97, + 96, + 96, + 96, + 96, + 95, + 96, + 96, + 96, + 96, + 96, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 98, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 98, + 97, + 97, + 97, + 98, + 98, + 98, + 97, + 97, + 97, + 97, + 97, + 96, + 96, + 96, + 96, + 96, + 97, + 98, + 99, + 99, + 100, + 98, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 0, + 0, + 0, + 58, + 0, + 78, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 69, + 0, + 0, + 66, + 79, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "PASm", + "type": "scatter", + "uid": "6dffdd7e-1ff9-11e9-8f39-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + -5, + -6, + -5, + -7, + -9, + -10, + -11, + -13, + -14, + -16, + -19, + -19, + -20, + -20, + -21, + -20, + -20, + -20, + -21, + -20, + -19, + -19, + -19, + -19, + -19, + -19, + -18, + -19, + -20, + -20, + -21, + -20, + -21, + -21, + -22, + -18, + -19, + -18, + -18, + -18, + -18, + -19, + -18, + -18, + -18, + -19, + -19, + -20, + -20, + -20, + -20, + -19, + -19, + -19, + -18, + -18, + -19, + -19, + -20, + -20, + -20, + -19, + -20, + -20, + 0, + 0, + 0, + 0, + 0, + 0, + 98, + 97, + 93, + 90, + 94, + 95, + 90, + 97, + 101, + 111, + 110, + 102, + 98, + 97, + 102, + 103, + 94, + 95, + 93, + 94, + 80, + 92, + 88, + 84, + 89, + 90, + 83, + 85, + 220, + 87, + 93, + 100, + 92, + 93, + 92, + 90, + 92, + 93, + 94, + 94, + 91, + 91, + 94, + 95, + 100, + 94, + 92, + 90, + 89, + 83, + 87, + 87, + 134, + 88, + 85, + 93, + 94, + 95, + 96, + 97, + 96, + 95, + 96, + 100, + 97, + 98, + 100, + 100, + 101, + 98, + 97, + 98, + 98, + 97, + 98, + 98, + 101, + 103, + 109, + 114, + 111, + 119, + 112, + 110, + 111, + 111, + 109, + 108, + 104, + 116, + 117, + 107, + 112, + 113, + 111, + 115, + 109, + 107, + 108, + 114, + 102, + 100, + 109, + 115, + 112, + 106, + 100, + 89, + 87, + 88, + 90, + 97, + 101, + 106, + 113, + 105, + 110, + 100, + 102, + 102, + 103, + 100, + 98, + 93, + 91, + 89, + 89, + 95, + 84, + 84, + 82, + 91, + 99, + 95, + 94, + 102, + 95, + 86, + 84, + 82, + 81, + 91, + 90, + 89, + 91, + 86, + 89, + 85, + 91, + 84, + 82, + 87, + 180, + 174, + 80, + 88, + 99, + 95, + 98, + 132, + 110, + 97, + 95, + 100, + 111, + 111, + 110, + 113, + 132, + 109, + 117, + 105, + 38, + 82, + 78, + 93, + 92, + 92, + 88, + 81, + 77, + 75, + 72, + 60, + 70, + 68, + 71, + 68, + 73, + 70, + 66, + 64, + 71, + 70, + 73, + 68, + 70, + 78, + 78, + 83, + 86, + 87, + 90, + 88, + 89, + 89, + 86, + 91, + 87, + 91, + 90, + 90, + 91, + 90, + 92, + 94, + 86, + 90, + 89, + 86, + 90, + 83, + 81, + 87, + 88, + 90, + 91, + 84, + 89, + 88, + 85, + 88, + 88, + 88, + 88, + 88, + 89, + 88, + 84, + 86, + 87, + 86, + 91, + 99, + 99, + 99, + 100, + 101, + 104, + 76, + 88, + 86, + 86, + 86, + 69, + 78, + 86, + 87, + 86, + 88, + 89, + 83, + 82, + 91, + 100, + 232, + 202, + 106, + 104, + 107, + 138, + 209, + 97, + 88, + 80, + 94, + 98, + 108, + 102, + 97, + 93, + 86, + 87, + 100, + 102, + 101, + 96, + 93, + 98, + 99, + 90, + 108, + 89, + 99, + 96, + 88, + 96, + 97, + 102, + 98, + 93, + 100, + 112, + 118, + 122, + 140, + 143, + 205, + 189, + 108, + 168, + 131, + 101, + 106, + 103, + 108, + 114, + 121, + 111, + 104, + 113, + 110, + 99, + 91, + 89, + 86, + 84, + 81, + 80, + 75, + 79, + 73, + 65, + 69, + 73, + 76, + 76, + 76, + 70, + 72, + 72, + 63, + 59, + 63, + 63, + 66, + 66, + 75, + 77, + 82, + 94, + 74, + 69, + 74, + 67, + 78, + 91, + 85, + 87, + 90, + 93, + 90, + 93, + 95, + 92, + 88, + 90, + 89, + 87, + 87, + 85, + 84, + 81, + 71, + 64, + 73, + 76, + 93, + 84, + 81, + 69, + 60, + 61, + 61, + 65, + 62, + 153, + 153, + 152, + 154, + 86, + 54, + 52, + 55, + 59, + 65, + 71, + 72, + 72, + 74, + 73, + 72, + 71, + 65, + 66, + 63, + 58, + 48, + 39, + 42, + 46, + 50, + 51, + 97, + 138, + 140, + 137, + 126, + 119, + 112, + 109, + 107, + 109, + 111, + 113, + 113, + 112, + 112, + 114, + 112, + 112, + 113, + 114, + 113, + 112, + 111, + 111, + 111, + 111, + 113, + 109, + 111, + 111, + 108, + 109, + 108, + 123, + 122, + 115, + 129, + 132, + 125, + 144, + 144, + 143, + 141, + 130, + 155, + 152, + 94, + 62, + 96, + 98, + 102, + 107, + 97, + 100, + 101, + 102, + 103, + 103, + 104, + 104, + 105, + 80, + 105, + 108, + 110, + 40, + 97, + 103, + 101, + 103, + 104, + 102, + 96, + 94, + 89, + 83, + 87, + 93, + 94, + 92, + 93, + 94, + 91, + 93, + 92, + 93, + 90, + 88, + 88, + 88, + 88, + 87, + 87, + 84, + 85, + 82, + 83, + 83, + 63, + 72, + 89, + 102, + 108, + 111, + 113, + 114, + 113, + 116, + 121, + 121, + 120, + 119, + 117, + 113, + 111, + 107, + 103, + 99, + 97, + 90, + 98, + 0, + 0, + 188, + 109, + 109, + 108, + 108, + 109, + 108, + 109, + 113, + 113, + 112, + 110, + 106, + 103, + 103, + 100, + 96, + 94, + 94, + 93, + 92, + 90, + 87, + 89, + 88, + 85, + 85, + 89, + 85, + 84, + 81, + 81, + 86, + 87, + 83, + 80, + 83, + 67, + 74, + 77, + 80, + 78, + 73, + 74, + 81, + 78, + 78, + 74, + 74, + 63, + 64, + 67, + 65, + 69, + 64, + 67, + 72, + 78, + 82, + 83, + 91, + 93, + 92, + 92, + 92, + 92, + 93, + 98, + 103, + 105, + 107, + 104, + 107, + 109, + 110, + 106, + 110, + 110, + 111, + 112, + 113, + 112, + 113, + 115, + 115, + 116, + 115, + 116, + 115, + 116, + 115, + 115, + 113, + 111, + 112, + 111, + 110, + 110, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + } + ], + "layout": { + "title": "Analyse du patient 369", + "xaxis": { + "rangeslider": { + "visible": true + }, + "type": "date" + }, + "yaxis": { + "title": "Mesures" + } + } + }, + "text/html": [ + "
" + ], + "text/vnd.plotly.v1+html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_dynamic_features(df_dynamic, id_patient=369, \n", + " features_list=['FC','FR', 'PAPmoy', 'SpO2', 'PASm'])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "nbpresent": { + "id": "f1450450-628a-4651-9b7b-f30e3e061fe4" + } + }, + "source": [ + "On peut voir des pics pour les valeurs de `PAPmoy` & `PASm`. \n", + "\n", + "Le problème c'est qu'il est très compliqué et long à détecté de visu / à la main par des seuils ou autres.\n", + "\n", + "Au lieu de vouloir retoucher les données pour les améliorer au risque de toucher à choses bien trop sensible (perte d'information). Pourquoi ne pas donner à l'algo le risque que cette données soient fausses / mauvaises / bizarres. Il fera le boulot pour nous au moins pour certaines variables." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "nbpresent": { + "id": "7f6a0b93-7a8c-4189-8547-c6a51771c395" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from sklearn.ensemble import IsolationForest\n", + "from sklearn.preprocessing import StandardScaler, FunctionTransformer\n", + "from sklearn.impute import SimpleImputer\n", + "from sklearn.pipeline import Pipeline\n", + "\n", + "rng = np.random.RandomState(42) " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "nbpresent": { + "id": "528ece08-678a-4ac6-860a-b913af365a39" + } + }, + "outputs": [], + "source": [ + "## FUNCTIONS\n", + "\n", + "def create_bool_ano_on_feature(df_dynamic, features_to_analyse, contamination=0.01):\n", + " \"\"\"\n", + " Create a new feature : features_to_analyse's name with \"_anomaly\"\n", + " This feature is a bool : 1 -> OK / -1 -> KO (anomaly)\n", + " Using :\n", + " - Imputer to fillna NaN Value\n", + " - A scaler \n", + " - IsolationForest to detect anomaly\n", + " Input :\n", + " df_dynamic [DataFrame] : dynamic data\n", + " features_to_analyse [str] : feature's name\n", + " contamination : threeshold of the feature. Less detect less anomaly\n", + " return : \n", + " df_dynamic [DataFrame] with 1 more feature\n", + " \"\"\"\n", + "\n", + " imputer = SimpleImputer(missing_values=np.nan, strategy='median')\n", + " scaler = StandardScaler()\n", + " iso_forest = IsolationForest(behaviour='new', \n", + " random_state=rng,\n", + " contamination=contamination)\n", + " my_transformer = Pipeline([('imp', imputer),\n", + " ('scaler', scaler), \n", + " ('iso', iso_forest)])\n", + "\n", + " my_transformer.fit(df_dynamic[[features_to_analyse]])\n", + "\n", + " feature_name_anomaly = features_to_analyse+\"_anomaly\"\n", + " df_dynamic[feature_name_anomaly] = my_transformer.predict(df_dynamic[[features_to_analyse]]) #[1 / -1]\n", + " return df_dynamic" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "features_to_analyse=\"PASm\"\n", + "def plot_ano_on_patient(df, id_patient=1,\n", + " features_to_analyse=features_to_analyse,\n", + " feature_ano = features_to_analyse+\"_anomaly\"):\n", + " \"\"\"\n", + " \n", + " \"\"\"\n", + " fig, ax = plt.subplots(figsize=(16,4))\n", + "\n", + " temp_df = df[df.id_patient == id_patient]\n", + "\n", + " a = temp_df[temp_df[features_to_analyse+\"_anomaly\"] == -1] #anomaly\n", + " ax.plot(temp_df.index,\n", + " temp_df[features_to_analyse],\n", + " label = features_to_analyse)\n", + " ax.scatter(a.index, a[features_to_analyse],\n", + " color='red', label = 'Anomaly')\n", + " plt.legend()\n", + " plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "import plotly.graph_objs as go\n", + "from plotly.offline import init_notebook_mode, iplot\n", + "from pandas.api.types import is_numeric_dtype\n", + "\n", + "def _plot_dynamic_features(df, id_patient, features_list,\n", + " display_declampage=False,\n", + " ano_detector=True):\n", + " \"\"\"\n", + " Plot a dynamic graph of patient from medical measuring instrument.\n", + " Work only in notebook.\n", + " Display only numerical features\n", + " Input :\n", + " - df [DataFrame] : Muse have features [['id_patient', 'time']]\n", + " - id_patient [int] : Id patient\n", + " - features_list [list] : list of features you want to analyse\n", + " Ouput :\n", + " - Display a plotly graph\n", + " \"\"\"\n", + "\n", + " init_notebook_mode(connected=True)\n", + "\n", + " # Check params\n", + "\n", + " if not isinstance(features_list, list):\n", + " raise Exception(\"\"\"'features_list' must be a list. \\n\n", + " Example features_list=['FC', 'FIN2O']\n", + " ou \\n\n", + " features_list=DYNAMIC_CATEGORIES['neurology'])\"\"\")\n", + " if not isinstance(id_patient, int):\n", + " raise Exception(\"\"\"'id_patient' must be a int. \\n\n", + " Example id_patient=314\"\"\")\n", + "\n", + " data = df[df['id_patient'] == id_patient]\n", + "\n", + " if display_declampage is True:\n", + " # Check if there is a declampage_cote1 event\n", + " if data.declampage_cote1_done.nunique() > 1:\n", + " date_declampage_1 = \\\n", + " data[data['declampage_cote1_done'] == 1]['time'].min()\n", + " declampage_features = [date_declampage_1]\n", + " # Check if there is a declampage_cote2 event\n", + " if data.declampage_cote2_done.nunique() > 1:\n", + " date_declampage_2 = \\\n", + " data[data['declampage_cote2_done'] == 1]['time'].min()\n", + " declampage_features = [date_declampage_1, date_declampage_2]\n", + "\n", + " if len(data) == 0:\n", + " raise Exception(\"\"\"No data for this id_patient\"\"\")\n", + "\n", + " try:\n", + " time = data['time']\n", + " except:\n", + " raise Exception(\"\"\"DataFrame need to have time feature ('time')\"\"\")\n", + "\n", + " if len(features_list) != 0:\n", + "\n", + " # Init list of trace\n", + " data_graph = []\n", + "\n", + " # Remove nonusefull features\n", + " features_list = [feature for feature in features_list\n", + " if feature not in(['time', 'id_patient'])]\n", + "\n", + " # Take only numerical features\n", + " features_list_clean = []\n", + " for feature in features_list:\n", + " if is_numeric_dtype(df[feature]):\n", + " features_list_clean.append(feature)\n", + "\n", + " if len(features_list_clean) == 0:\n", + " raise Exception(\"\"\"No numeric data is this DataFrame\"\"\")\n", + "\n", + " # Create trace for data_graph\n", + " max_y_value = 0 # Looking for max Y value\n", + " for feature in features_list_clean:\n", + " trace = go.Scatter(x=time,\n", + " y=data[feature].values,\n", + " name=feature,\n", + " yaxis='y1')\n", + " data_graph.append(trace)\n", + "\n", + " if max_y_value < data[feature].max():\n", + " max_y_value = data[feature].max()\n", + " \n", + " # ano_detector\n", + " if ano_detector is True:\n", + " features_ano = [col+\"_anomaly\" for col in features_list_clean\n", + " if col+\"_anomaly\" in data.columns]\n", + " for feature_ano in features_ano:\n", + " temp = data[data[feature_ano] == -1]\n", + " trace = go.Scatter(x=temp['time'],\n", + " y=temp[feature_ano.split(\"_anomaly\")[0]].values,\n", + " mode='markers',\n", + " showlegend=False,\n", + " hoverinfo = 'none',\n", + " marker = dict(size=4,\n", + " color='black',\n", + " ),\n", + " )\n", + " data_graph.append(trace)\n", + " else:\n", + " raise Exception(\"\"\"No data for this id_patient\"\"\")\n", + "\n", + " # Design graph\n", + " layout = dict(\n", + " title='Analyse du patient ' + str(id_patient),\n", + " xaxis=dict(\n", + " rangeslider=dict(\n", + " visible=True\n", + " ),\n", + " type='date'\n", + " ),\n", + " yaxis=dict(\n", + " title='Mesures'\n", + " )\n", + " )\n", + "\n", + " if display_declampage is True:\n", + " shapes = []\n", + " for i in range(0, len(declampage_features)):\n", + " shapes.append({\n", + " 'type': 'line',\n", + " 'x0': declampage_features[i],\n", + " 'y0': 0,\n", + " 'x1': declampage_features[i],\n", + " 'y1': max_y_value,\n", + " 'line': {\n", + " 'color': 'black',\n", + " 'dash': 'dot',\n", + " 'width': 2}\n", + " })\n", + " layout['shapes'] = shapes\n", + "\n", + " fig = dict(data=data_graph, layout=layout)\n", + " iplot(fig)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/vnd.plotly.v1+html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ + { + "name": "FC", + "type": "scatter", + "uid": "86e4634c-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-19 20:42:00", + "2017-07-19 20:43:00", + "2017-07-19 20:44:00", + "2017-07-19 20:45:00", + "2017-07-19 20:46:00", + "2017-07-19 20:47:00", + "2017-07-19 20:48:00", + "2017-07-19 20:49:00", + "2017-07-19 20:50:00", + "2017-07-19 20:51:00", + "2017-07-19 20:52:00", + "2017-07-19 20:53:00", + "2017-07-19 20:54:00", + "2017-07-19 20:55:00", + "2017-07-19 20:56:00", + "2017-07-19 20:57:00", + "2017-07-19 20:58:00", + "2017-07-19 20:59:00", + "2017-07-19 21:00:00", + "2017-07-19 21:01:00", + "2017-07-19 21:02:00", + "2017-07-19 21:03:00", + "2017-07-19 21:04:00", + "2017-07-19 21:05:00", + "2017-07-19 21:06:00", + "2017-07-19 21:07:00", + "2017-07-19 21:08:00", + "2017-07-19 21:09:00", + "2017-07-19 21:10:00", + "2017-07-19 21:11:00", + "2017-07-19 21:12:00", + "2017-07-19 21:13:00", + "2017-07-19 21:14:00", + "2017-07-19 21:15:00", + "2017-07-19 21:16:00", + "2017-07-19 21:17:00", + "2017-07-19 21:18:00", + "2017-07-19 21:19:00", + "2017-07-19 21:20:00", + "2017-07-19 21:21:00", + "2017-07-19 21:22:00", + "2017-07-19 21:23:00", + "2017-07-19 21:24:00", + "2017-07-19 21:25:00", + "2017-07-19 21:26:00", + "2017-07-19 21:27:00", + "2017-07-19 21:28:00", + "2017-07-19 21:29:00", + "2017-07-19 21:30:00", + "2017-07-19 21:31:00", + "2017-07-19 21:32:00", + "2017-07-19 21:33:00", + "2017-07-19 21:34:00", + "2017-07-19 21:35:00", + "2017-07-19 21:36:00", + "2017-07-19 21:37:00", + "2017-07-19 21:38:00", + "2017-07-19 21:39:00", + "2017-07-19 21:40:00", + "2017-07-19 21:41:00", + "2017-07-19 21:42:00", + "2017-07-19 21:43:00", + "2017-07-19 21:44:00", + "2017-07-19 21:45:00", + "2017-07-19 21:46:00", + "2017-07-19 21:47:00", + "2017-07-19 21:48:00", + "2017-07-19 21:49:00", + "2017-07-19 21:50:00", + "2017-07-19 21:51:00", + "2017-07-19 21:52:00", + "2017-07-19 21:53:00", + "2017-07-19 21:54:00", + "2017-07-19 21:55:00", + "2017-07-19 21:56:00", + "2017-07-19 21:57:00", + "2017-07-19 21:58:00", + "2017-07-19 21:59:00", + "2017-07-19 22:00:00", + "2017-07-19 22:01:00", + "2017-07-19 22:02:00", + "2017-07-19 22:03:00", + "2017-07-19 22:04:00", + "2017-07-19 22:05:00", + "2017-07-19 22:06:00", + "2017-07-19 22:07:00", + "2017-07-19 22:08:00", + "2017-07-19 22:09:00", + "2017-07-19 22:10:00", + "2017-07-19 22:11:00", + "2017-07-19 22:12:00", + "2017-07-19 22:13:00", + "2017-07-19 22:14:00", + "2017-07-19 22:15:00", + "2017-07-19 22:16:00", + "2017-07-19 22:17:00", + "2017-07-19 22:18:00", + "2017-07-19 22:19:00", + "2017-07-19 22:20:00", + "2017-07-19 22:21:00", + "2017-07-19 22:22:00", + "2017-07-19 22:23:00", + "2017-07-19 22:24:00", + "2017-07-19 22:25:00", + "2017-07-19 22:26:00", + "2017-07-19 22:27:00", + "2017-07-19 22:28:00", + "2017-07-19 22:29:00", + "2017-07-19 22:30:00", + "2017-07-19 22:31:00", + "2017-07-19 22:32:00", + "2017-07-19 22:33:00", + "2017-07-19 22:34:00", + "2017-07-19 22:35:00", + "2017-07-19 22:36:00", + "2017-07-19 22:37:00", + "2017-07-19 22:38:00", + "2017-07-19 22:39:00", + "2017-07-19 22:40:00", + "2017-07-19 22:41:00", + "2017-07-19 22:42:00", + "2017-07-19 22:43:00", + "2017-07-19 22:44:00", + "2017-07-19 22:45:00", + "2017-07-19 22:46:00", + "2017-07-19 22:47:00", + "2017-07-19 22:48:00", + "2017-07-19 22:49:00", + "2017-07-19 22:50:00", + "2017-07-19 22:51:00", + "2017-07-19 22:52:00", + "2017-07-19 22:53:00", + "2017-07-19 22:54:00", + "2017-07-19 22:55:00", + "2017-07-19 22:56:00", + "2017-07-19 22:57:00", + "2017-07-19 22:58:00", + "2017-07-19 22:59:00", + "2017-07-19 23:00:00", + "2017-07-19 23:01:00", + "2017-07-19 23:02:00", + "2017-07-19 23:03:00", + "2017-07-19 23:04:00", + "2017-07-19 23:05:00", + "2017-07-19 23:06:00", + "2017-07-19 23:07:00", + "2017-07-19 23:08:00", + "2017-07-19 23:09:00", + "2017-07-19 23:10:00", + "2017-07-19 23:11:00", + "2017-07-19 23:12:00", + "2017-07-19 23:13:00", + "2017-07-19 23:14:00", + "2017-07-19 23:15:00", + "2017-07-19 23:16:00", + "2017-07-19 23:17:00", + "2017-07-19 23:18:00", + "2017-07-19 23:19:00", + "2017-07-19 23:20:00", + "2017-07-19 23:21:00", + "2017-07-19 23:22:00", + "2017-07-19 23:23:00", + "2017-07-19 23:24:00", + "2017-07-19 23:25:00", + "2017-07-19 23:26:00", + "2017-07-19 23:27:00", + "2017-07-19 23:28:00", + "2017-07-19 23:29:00", + "2017-07-19 23:30:00", + "2017-07-19 23:31:00", + "2017-07-19 23:32:00", + "2017-07-19 23:33:00", + "2017-07-19 23:34:00", + "2017-07-19 23:35:00", + "2017-07-19 23:36:00", + "2017-07-19 23:37:00", + "2017-07-19 23:38:00", + "2017-07-19 23:39:00", + "2017-07-19 23:40:00", + "2017-07-19 23:41:00", + "2017-07-19 23:42:00", + "2017-07-19 23:43:00", + "2017-07-19 23:44:00", + "2017-07-19 23:45:00", + "2017-07-19 23:46:00", + "2017-07-19 23:47:00", + "2017-07-19 23:48:00", + "2017-07-19 23:49:00", + "2017-07-19 23:50:00", + "2017-07-19 23:51:00", + "2017-07-19 23:52:00", + "2017-07-19 23:53:00", + "2017-07-19 23:54:00", + "2017-07-19 23:55:00", + "2017-07-19 23:56:00", + "2017-07-19 23:57:00", + "2017-07-19 23:58:00", + "2017-07-19 23:59:00", + "2017-07-20", + "2017-07-20 00:01:00", + "2017-07-20 00:02:00", + "2017-07-20 00:03:00", + "2017-07-20 00:04:00", + "2017-07-20 00:05:00", + "2017-07-20 00:06:00", + "2017-07-20 00:07:00", + "2017-07-20 00:08:00", + "2017-07-20 00:09:00", + "2017-07-20 00:10:00", + "2017-07-20 00:11:00", + "2017-07-20 00:12:00", + "2017-07-20 00:13:00", + "2017-07-20 00:14:00", + "2017-07-20 00:15:00", + "2017-07-20 00:16:00", + "2017-07-20 00:17:00", + "2017-07-20 00:18:00", + "2017-07-20 00:19:00", + "2017-07-20 00:20:00", + "2017-07-20 00:21:00", + "2017-07-20 00:22:00", + "2017-07-20 00:23:00", + "2017-07-20 00:24:00", + "2017-07-20 00:25:00", + "2017-07-20 00:26:00", + "2017-07-20 00:27:00", + "2017-07-20 00:28:00", + "2017-07-20 00:29:00", + "2017-07-20 00:30:00", + "2017-07-20 00:31:00", + "2017-07-20 00:32:00", + "2017-07-20 00:33:00", + "2017-07-20 00:34:00", + "2017-07-20 00:35:00", + "2017-07-20 00:36:00", + "2017-07-20 00:37:00", + "2017-07-20 00:38:00", + "2017-07-20 00:39:00", + "2017-07-20 00:40:00", + "2017-07-20 00:41:00", + "2017-07-20 00:42:00", + "2017-07-20 00:43:00", + "2017-07-20 00:44:00", + "2017-07-20 00:45:00", + "2017-07-20 00:46:00", + "2017-07-20 00:47:00", + "2017-07-20 00:48:00", + "2017-07-20 00:49:00", + "2017-07-20 00:50:00", + "2017-07-20 00:51:00", + "2017-07-20 00:52:00", + "2017-07-20 00:53:00", + "2017-07-20 00:54:00", + "2017-07-20 00:55:00", + "2017-07-20 00:56:00", + "2017-07-20 00:57:00", + "2017-07-20 00:58:00", + "2017-07-20 00:59:00", + "2017-07-20 01:00:00", + "2017-07-20 01:01:00", + "2017-07-20 01:02:00", + "2017-07-20 01:03:00", + "2017-07-20 01:04:00", + "2017-07-20 01:05:00", + "2017-07-20 01:06:00", + "2017-07-20 01:07:00", + "2017-07-20 01:08:00", + "2017-07-20 01:09:00", + "2017-07-20 01:10:00", + "2017-07-20 01:11:00", + "2017-07-20 01:12:00", + "2017-07-20 01:13:00", + "2017-07-20 01:14:00", + "2017-07-20 01:15:00", + "2017-07-20 01:16:00", + "2017-07-20 01:17:00", + "2017-07-20 01:18:00", + "2017-07-20 01:19:00", + "2017-07-20 01:20:00", + "2017-07-20 01:21:00", + "2017-07-20 01:22:00", + "2017-07-20 01:23:00", + "2017-07-20 01:24:00", + "2017-07-20 01:25:00", + "2017-07-20 01:26:00", + "2017-07-20 01:27:00", + "2017-07-20 01:28:00", + "2017-07-20 01:29:00", + "2017-07-20 01:30:00", + "2017-07-20 01:31:00", + "2017-07-20 01:32:00", + "2017-07-20 01:33:00", + "2017-07-20 01:34:00", + "2017-07-20 01:35:00", + "2017-07-20 01:36:00", + "2017-07-20 01:37:00", + "2017-07-20 01:38:00", + "2017-07-20 01:39:00", + "2017-07-20 01:40:00", + "2017-07-20 01:41:00", + "2017-07-20 01:42:00", + "2017-07-20 01:43:00", + "2017-07-20 01:44:00", + "2017-07-20 01:45:00", + "2017-07-20 01:46:00", + "2017-07-20 01:47:00", + "2017-07-20 01:48:00", + "2017-07-20 01:49:00", + "2017-07-20 01:50:00", + "2017-07-20 01:51:00", + "2017-07-20 01:52:00", + "2017-07-20 01:53:00", + "2017-07-20 01:54:00", + "2017-07-20 01:55:00", + "2017-07-20 01:56:00", + "2017-07-20 01:57:00", + "2017-07-20 01:58:00", + "2017-07-20 01:59:00", + "2017-07-20 02:00:00", + "2017-07-20 02:01:00", + "2017-07-20 02:02:00", + "2017-07-20 02:03:00", + "2017-07-20 02:04:00", + "2017-07-20 02:05:00", + "2017-07-20 02:06:00", + "2017-07-20 02:07:00", + "2017-07-20 02:08:00", + "2017-07-20 02:09:00", + "2017-07-20 02:10:00", + "2017-07-20 02:11:00", + "2017-07-20 02:12:00", + "2017-07-20 02:13:00", + "2017-07-20 02:14:00", + "2017-07-20 02:15:00", + "2017-07-20 02:16:00", + "2017-07-20 02:17:00", + "2017-07-20 02:18:00", + "2017-07-20 02:19:00", + "2017-07-20 02:20:00", + "2017-07-20 02:21:00", + "2017-07-20 02:22:00", + "2017-07-20 02:23:00", + "2017-07-20 02:24:00", + "2017-07-20 02:25:00", + "2017-07-20 02:26:00", + "2017-07-20 02:27:00", + "2017-07-20 02:28:00", + "2017-07-20 02:29:00", + "2017-07-20 02:30:00", + "2017-07-20 02:31:00", + "2017-07-20 02:32:00", + "2017-07-20 02:33:00", + "2017-07-20 02:34:00", + "2017-07-20 02:35:00", + "2017-07-20 02:36:00", + "2017-07-20 02:37:00", + "2017-07-20 02:38:00", + "2017-07-20 02:39:00", + "2017-07-20 02:40:00", + "2017-07-20 02:41:00", + "2017-07-20 02:42:00", + "2017-07-20 02:43:00", + "2017-07-20 02:44:00", + "2017-07-20 02:45:00", + "2017-07-20 02:46:00", + "2017-07-20 02:47:00", + "2017-07-20 02:48:00", + "2017-07-20 02:49:00", + "2017-07-20 02:50:00", + "2017-07-20 02:51:00", + "2017-07-20 02:52:00", + "2017-07-20 02:53:00", + "2017-07-20 02:54:00", + "2017-07-20 02:55:00", + "2017-07-20 02:56:00", + "2017-07-20 02:57:00", + "2017-07-20 02:58:00", + "2017-07-20 02:59:00", + "2017-07-20 03:00:00", + "2017-07-20 03:01:00", + "2017-07-20 03:02:00", + "2017-07-20 03:03:00", + "2017-07-20 03:04:00", + "2017-07-20 03:05:00", + "2017-07-20 03:06:00", + "2017-07-20 03:07:00", + "2017-07-20 03:08:00", + "2017-07-20 03:09:00", + "2017-07-20 03:10:00", + "2017-07-20 03:11:00", + "2017-07-20 03:12:00", + "2017-07-20 03:13:00", + "2017-07-20 03:14:00", + "2017-07-20 03:15:00", + "2017-07-20 03:16:00", + "2017-07-20 03:17:00", + "2017-07-20 03:18:00", + "2017-07-20 03:19:00", + "2017-07-20 03:20:00", + "2017-07-20 03:21:00", + "2017-07-20 03:22:00", + "2017-07-20 03:23:00", + "2017-07-20 03:24:00", + "2017-07-20 03:25:00", + "2017-07-20 03:26:00", + "2017-07-20 03:27:00", + "2017-07-20 03:28:00", + "2017-07-20 03:29:00", + "2017-07-20 03:30:00", + "2017-07-20 03:31:00", + "2017-07-20 03:32:00", + "2017-07-20 03:33:00", + "2017-07-20 03:34:00", + "2017-07-20 03:35:00", + "2017-07-20 03:36:00", + "2017-07-20 03:37:00", + "2017-07-20 03:38:00", + "2017-07-20 03:39:00", + "2017-07-20 03:40:00", + "2017-07-20 03:41:00", + "2017-07-20 03:42:00", + "2017-07-20 03:43:00", + "2017-07-20 03:44:00", + "2017-07-20 03:45:00", + "2017-07-20 03:46:00", + "2017-07-20 03:47:00", + "2017-07-20 03:48:00", + "2017-07-20 03:49:00", + "2017-07-20 03:50:00", + "2017-07-20 03:51:00", + "2017-07-20 03:52:00", + "2017-07-20 03:53:00", + "2017-07-20 03:54:00", + "2017-07-20 03:55:00", + "2017-07-20 03:56:00", + "2017-07-20 03:57:00", + "2017-07-20 03:58:00", + "2017-07-20 03:59:00", + "2017-07-20 04:00:00", + "2017-07-20 04:01:00", + "2017-07-20 04:02:00", + "2017-07-20 04:03:00", + "2017-07-20 04:04:00", + "2017-07-20 04:05:00", + "2017-07-20 04:06:00", + "2017-07-20 04:07:00", + "2017-07-20 04:08:00", + "2017-07-20 04:09:00", + "2017-07-20 04:10:00", + "2017-07-20 04:11:00", + "2017-07-20 04:12:00" + ], + "y": [ + 99, + 99, + 99, + 99, + 99, + 98, + 100, + 98, + 99, + 100, + 100, + 101, + 101, + 101, + 100, + 98, + 96, + 100, + 100, + 102, + 98, + 100, + 97, + 94, + 94, + 100, + 98, + 94, + 93, + 91, + 91, + 92, + 92, + 88, + 77, + 72, + 76, + 74, + 75, + 78, + 80, + 73, + 75, + 75, + 80, + 75, + 74, + 75, + 74, + 70, + 70, + 71, + 71, + 69, + 70, + 71, + 71, + 71, + 71, + 71, + 71, + 70, + 69, + 69, + 70, + 70, + 70, + 68, + 70, + 69, + 69, + 69, + 69, + 69, + 69, + 70, + 70, + 70, + 70, + 70, + 70, + 71, + 71, + 71, + 70, + 72, + 75, + 84, + 73, + 72, + 72, + 73, + 74, + 75, + 76, + 77, + 77, + 75, + 80, + 80, + 80, + 80, + 80, + 80, + 79, + 78, + 77, + 76, + 75, + 75, + 76, + 78, + 80, + 81, + 79, + 76, + 75, + 75, + 64, + 73, + 73, + 73, + 74, + 73, + 73, + 74, + 74, + 74, + 73, + 74, + 74, + 74, + 74, + 73, + 74, + 72, + 72, + 71, + 70, + 69, + 70, + 69, + 69, + 69, + 93, + 69, + 68, + 0, + 70, + 68, + 120, + 69, + 69, + 70, + 69, + 71, + 71, + 69, + 72, + 71, + 75, + 74, + 77, + 79, + 80, + 84, + 84, + 82, + 81, + 84, + 85, + 224, + 86, + 86, + 85, + 85, + 85, + 85, + 85, + 85, + 84, + 84, + 84, + 86, + 87, + 86, + 88, + 87, + 87, + 87, + 86, + 86, + 86, + 84, + 88, + 88, + 87, + 87, + 87, + 86, + 86, + 91, + 92, + 92, + 91, + 90, + 91, + 91, + 91, + 93, + 93, + 93, + 95, + 93, + 94, + 92, + 96, + 96, + 105, + 95, + 95, + 95, + 94, + 93, + 93, + 93, + 93, + 93, + 92, + 93, + 94, + 92, + 93, + 93, + 93, + 92, + 95, + 94, + 95, + 96, + 96, + 96, + 96, + 96, + 96, + 92, + 96, + 100, + 101, + 101, + 101, + 101, + 101, + 101, + 102, + 103, + 103, + 102, + 103, + 102, + 101, + 102, + 100, + 105, + 105, + 106, + 106, + 107, + 101, + 100, + 100, + 100, + 100, + 100, + 97, + 97, + 96, + 97, + 98, + 98, + 98, + 98, + 100, + 104, + 110, + 111, + 109, + 111, + 111, + 110, + 112, + 112, + 96, + 95, + 109, + 109, + 107, + 105, + 103, + 105, + 0, + 107, + 104, + 83, + 93, + 104, + 105, + 106, + 105, + 106, + 105, + 105, + 106, + 107, + 107, + 53, + 106, + 26, + 106, + 106, + 106, + 106, + 105, + 93, + 105, + 105, + 105, + 107, + 106, + 104, + 102, + 103, + 102, + 91, + 103, + 102, + 102, + 90, + 102, + 102, + 102, + 103, + 102, + 101, + 102, + 101, + 89, + 100, + 99, + 98, + 99, + 99, + 100, + 100, + 99, + 99, + 99, + 98, + 88, + 88, + 88, + 99, + 99, + 63, + 100, + 98, + 99, + 103, + 106, + 111, + 113, + 113, + 110, + 108, + 104, + 104, + 104, + 103, + 102, + 103, + 104, + 102, + 103, + 104, + 104, + 104, + 105, + 105, + 104, + 104, + 104, + 104, + 102, + 102, + 101, + 100, + 99, + 98, + 98, + 98, + 97, + 97, + 97, + 96, + 96, + 94, + 94, + 94, + 95, + 95, + 95, + 95, + 95, + 95, + 95, + 94, + 95, + 95, + 95, + 94, + 94, + 95, + 95, + 96, + 96, + 96, + 96, + 96, + 96, + 93, + 93, + 93, + 93, + 101, + 97, + 97, + 96, + 93, + 101, + 98, + 93, + 91, + 142, + 97, + 97, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "FR", + "type": "scatter", + "uid": "86e46478-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-19 20:42:00", + "2017-07-19 20:43:00", + "2017-07-19 20:44:00", + "2017-07-19 20:45:00", + "2017-07-19 20:46:00", + "2017-07-19 20:47:00", + "2017-07-19 20:48:00", + "2017-07-19 20:49:00", + "2017-07-19 20:50:00", + "2017-07-19 20:51:00", + "2017-07-19 20:52:00", + "2017-07-19 20:53:00", + "2017-07-19 20:54:00", + "2017-07-19 20:55:00", + "2017-07-19 20:56:00", + "2017-07-19 20:57:00", + "2017-07-19 20:58:00", + "2017-07-19 20:59:00", + "2017-07-19 21:00:00", + "2017-07-19 21:01:00", + "2017-07-19 21:02:00", + "2017-07-19 21:03:00", + "2017-07-19 21:04:00", + "2017-07-19 21:05:00", + "2017-07-19 21:06:00", + "2017-07-19 21:07:00", + "2017-07-19 21:08:00", + "2017-07-19 21:09:00", + "2017-07-19 21:10:00", + "2017-07-19 21:11:00", + "2017-07-19 21:12:00", + "2017-07-19 21:13:00", + "2017-07-19 21:14:00", + "2017-07-19 21:15:00", + "2017-07-19 21:16:00", + "2017-07-19 21:17:00", + "2017-07-19 21:18:00", + "2017-07-19 21:19:00", + "2017-07-19 21:20:00", + "2017-07-19 21:21:00", + "2017-07-19 21:22:00", + "2017-07-19 21:23:00", + "2017-07-19 21:24:00", + "2017-07-19 21:25:00", + "2017-07-19 21:26:00", + "2017-07-19 21:27:00", + "2017-07-19 21:28:00", + "2017-07-19 21:29:00", + "2017-07-19 21:30:00", + "2017-07-19 21:31:00", + "2017-07-19 21:32:00", + "2017-07-19 21:33:00", + "2017-07-19 21:34:00", + "2017-07-19 21:35:00", + "2017-07-19 21:36:00", + "2017-07-19 21:37:00", + "2017-07-19 21:38:00", + "2017-07-19 21:39:00", + "2017-07-19 21:40:00", + "2017-07-19 21:41:00", + "2017-07-19 21:42:00", + "2017-07-19 21:43:00", + "2017-07-19 21:44:00", + "2017-07-19 21:45:00", + "2017-07-19 21:46:00", + "2017-07-19 21:47:00", + "2017-07-19 21:48:00", + "2017-07-19 21:49:00", + "2017-07-19 21:50:00", + "2017-07-19 21:51:00", + "2017-07-19 21:52:00", + "2017-07-19 21:53:00", + "2017-07-19 21:54:00", + "2017-07-19 21:55:00", + "2017-07-19 21:56:00", + "2017-07-19 21:57:00", + "2017-07-19 21:58:00", + "2017-07-19 21:59:00", + "2017-07-19 22:00:00", + "2017-07-19 22:01:00", + "2017-07-19 22:02:00", + "2017-07-19 22:03:00", + "2017-07-19 22:04:00", + "2017-07-19 22:05:00", + "2017-07-19 22:06:00", + "2017-07-19 22:07:00", + "2017-07-19 22:08:00", + "2017-07-19 22:09:00", + "2017-07-19 22:10:00", + "2017-07-19 22:11:00", + "2017-07-19 22:12:00", + "2017-07-19 22:13:00", + "2017-07-19 22:14:00", + "2017-07-19 22:15:00", + "2017-07-19 22:16:00", + "2017-07-19 22:17:00", + "2017-07-19 22:18:00", + "2017-07-19 22:19:00", + "2017-07-19 22:20:00", + "2017-07-19 22:21:00", + "2017-07-19 22:22:00", + "2017-07-19 22:23:00", + "2017-07-19 22:24:00", + "2017-07-19 22:25:00", + "2017-07-19 22:26:00", + "2017-07-19 22:27:00", + "2017-07-19 22:28:00", + "2017-07-19 22:29:00", + "2017-07-19 22:30:00", + "2017-07-19 22:31:00", + "2017-07-19 22:32:00", + "2017-07-19 22:33:00", + "2017-07-19 22:34:00", + "2017-07-19 22:35:00", + "2017-07-19 22:36:00", + "2017-07-19 22:37:00", + "2017-07-19 22:38:00", + "2017-07-19 22:39:00", + "2017-07-19 22:40:00", + "2017-07-19 22:41:00", + "2017-07-19 22:42:00", + "2017-07-19 22:43:00", + "2017-07-19 22:44:00", + "2017-07-19 22:45:00", + "2017-07-19 22:46:00", + "2017-07-19 22:47:00", + "2017-07-19 22:48:00", + "2017-07-19 22:49:00", + "2017-07-19 22:50:00", + "2017-07-19 22:51:00", + "2017-07-19 22:52:00", + "2017-07-19 22:53:00", + "2017-07-19 22:54:00", + "2017-07-19 22:55:00", + "2017-07-19 22:56:00", + "2017-07-19 22:57:00", + "2017-07-19 22:58:00", + "2017-07-19 22:59:00", + "2017-07-19 23:00:00", + "2017-07-19 23:01:00", + "2017-07-19 23:02:00", + "2017-07-19 23:03:00", + "2017-07-19 23:04:00", + "2017-07-19 23:05:00", + "2017-07-19 23:06:00", + "2017-07-19 23:07:00", + "2017-07-19 23:08:00", + "2017-07-19 23:09:00", + "2017-07-19 23:10:00", + "2017-07-19 23:11:00", + "2017-07-19 23:12:00", + "2017-07-19 23:13:00", + "2017-07-19 23:14:00", + "2017-07-19 23:15:00", + "2017-07-19 23:16:00", + "2017-07-19 23:17:00", + "2017-07-19 23:18:00", + "2017-07-19 23:19:00", + "2017-07-19 23:20:00", + "2017-07-19 23:21:00", + "2017-07-19 23:22:00", + "2017-07-19 23:23:00", + "2017-07-19 23:24:00", + "2017-07-19 23:25:00", + "2017-07-19 23:26:00", + "2017-07-19 23:27:00", + "2017-07-19 23:28:00", + "2017-07-19 23:29:00", + "2017-07-19 23:30:00", + "2017-07-19 23:31:00", + "2017-07-19 23:32:00", + "2017-07-19 23:33:00", + "2017-07-19 23:34:00", + "2017-07-19 23:35:00", + "2017-07-19 23:36:00", + "2017-07-19 23:37:00", + "2017-07-19 23:38:00", + "2017-07-19 23:39:00", + "2017-07-19 23:40:00", + "2017-07-19 23:41:00", + "2017-07-19 23:42:00", + "2017-07-19 23:43:00", + "2017-07-19 23:44:00", + "2017-07-19 23:45:00", + "2017-07-19 23:46:00", + "2017-07-19 23:47:00", + "2017-07-19 23:48:00", + "2017-07-19 23:49:00", + "2017-07-19 23:50:00", + "2017-07-19 23:51:00", + "2017-07-19 23:52:00", + "2017-07-19 23:53:00", + "2017-07-19 23:54:00", + "2017-07-19 23:55:00", + "2017-07-19 23:56:00", + "2017-07-19 23:57:00", + "2017-07-19 23:58:00", + "2017-07-19 23:59:00", + "2017-07-20", + "2017-07-20 00:01:00", + "2017-07-20 00:02:00", + "2017-07-20 00:03:00", + "2017-07-20 00:04:00", + "2017-07-20 00:05:00", + "2017-07-20 00:06:00", + "2017-07-20 00:07:00", + "2017-07-20 00:08:00", + "2017-07-20 00:09:00", + "2017-07-20 00:10:00", + "2017-07-20 00:11:00", + "2017-07-20 00:12:00", + "2017-07-20 00:13:00", + "2017-07-20 00:14:00", + "2017-07-20 00:15:00", + "2017-07-20 00:16:00", + "2017-07-20 00:17:00", + "2017-07-20 00:18:00", + "2017-07-20 00:19:00", + "2017-07-20 00:20:00", + "2017-07-20 00:21:00", + "2017-07-20 00:22:00", + "2017-07-20 00:23:00", + "2017-07-20 00:24:00", + "2017-07-20 00:25:00", + "2017-07-20 00:26:00", + "2017-07-20 00:27:00", + "2017-07-20 00:28:00", + "2017-07-20 00:29:00", + "2017-07-20 00:30:00", + "2017-07-20 00:31:00", + "2017-07-20 00:32:00", + "2017-07-20 00:33:00", + "2017-07-20 00:34:00", + "2017-07-20 00:35:00", + "2017-07-20 00:36:00", + "2017-07-20 00:37:00", + "2017-07-20 00:38:00", + "2017-07-20 00:39:00", + "2017-07-20 00:40:00", + "2017-07-20 00:41:00", + "2017-07-20 00:42:00", + "2017-07-20 00:43:00", + "2017-07-20 00:44:00", + "2017-07-20 00:45:00", + "2017-07-20 00:46:00", + "2017-07-20 00:47:00", + "2017-07-20 00:48:00", + "2017-07-20 00:49:00", + "2017-07-20 00:50:00", + "2017-07-20 00:51:00", + "2017-07-20 00:52:00", + "2017-07-20 00:53:00", + "2017-07-20 00:54:00", + "2017-07-20 00:55:00", + "2017-07-20 00:56:00", + "2017-07-20 00:57:00", + "2017-07-20 00:58:00", + "2017-07-20 00:59:00", + "2017-07-20 01:00:00", + "2017-07-20 01:01:00", + "2017-07-20 01:02:00", + "2017-07-20 01:03:00", + "2017-07-20 01:04:00", + "2017-07-20 01:05:00", + "2017-07-20 01:06:00", + "2017-07-20 01:07:00", + "2017-07-20 01:08:00", + "2017-07-20 01:09:00", + "2017-07-20 01:10:00", + "2017-07-20 01:11:00", + "2017-07-20 01:12:00", + "2017-07-20 01:13:00", + "2017-07-20 01:14:00", + "2017-07-20 01:15:00", + "2017-07-20 01:16:00", + "2017-07-20 01:17:00", + "2017-07-20 01:18:00", + "2017-07-20 01:19:00", + "2017-07-20 01:20:00", + "2017-07-20 01:21:00", + "2017-07-20 01:22:00", + "2017-07-20 01:23:00", + "2017-07-20 01:24:00", + "2017-07-20 01:25:00", + "2017-07-20 01:26:00", + "2017-07-20 01:27:00", + "2017-07-20 01:28:00", + "2017-07-20 01:29:00", + "2017-07-20 01:30:00", + "2017-07-20 01:31:00", + "2017-07-20 01:32:00", + "2017-07-20 01:33:00", + "2017-07-20 01:34:00", + "2017-07-20 01:35:00", + "2017-07-20 01:36:00", + "2017-07-20 01:37:00", + "2017-07-20 01:38:00", + "2017-07-20 01:39:00", + "2017-07-20 01:40:00", + "2017-07-20 01:41:00", + "2017-07-20 01:42:00", + "2017-07-20 01:43:00", + "2017-07-20 01:44:00", + "2017-07-20 01:45:00", + "2017-07-20 01:46:00", + "2017-07-20 01:47:00", + "2017-07-20 01:48:00", + "2017-07-20 01:49:00", + "2017-07-20 01:50:00", + "2017-07-20 01:51:00", + "2017-07-20 01:52:00", + "2017-07-20 01:53:00", + "2017-07-20 01:54:00", + "2017-07-20 01:55:00", + "2017-07-20 01:56:00", + "2017-07-20 01:57:00", + "2017-07-20 01:58:00", + "2017-07-20 01:59:00", + "2017-07-20 02:00:00", + "2017-07-20 02:01:00", + "2017-07-20 02:02:00", + "2017-07-20 02:03:00", + "2017-07-20 02:04:00", + "2017-07-20 02:05:00", + "2017-07-20 02:06:00", + "2017-07-20 02:07:00", + "2017-07-20 02:08:00", + "2017-07-20 02:09:00", + "2017-07-20 02:10:00", + "2017-07-20 02:11:00", + "2017-07-20 02:12:00", + "2017-07-20 02:13:00", + "2017-07-20 02:14:00", + "2017-07-20 02:15:00", + "2017-07-20 02:16:00", + "2017-07-20 02:17:00", + "2017-07-20 02:18:00", + "2017-07-20 02:19:00", + "2017-07-20 02:20:00", + "2017-07-20 02:21:00", + "2017-07-20 02:22:00", + "2017-07-20 02:23:00", + "2017-07-20 02:24:00", + "2017-07-20 02:25:00", + "2017-07-20 02:26:00", + "2017-07-20 02:27:00", + "2017-07-20 02:28:00", + "2017-07-20 02:29:00", + "2017-07-20 02:30:00", + "2017-07-20 02:31:00", + "2017-07-20 02:32:00", + "2017-07-20 02:33:00", + "2017-07-20 02:34:00", + "2017-07-20 02:35:00", + "2017-07-20 02:36:00", + "2017-07-20 02:37:00", + "2017-07-20 02:38:00", + "2017-07-20 02:39:00", + "2017-07-20 02:40:00", + "2017-07-20 02:41:00", + "2017-07-20 02:42:00", + "2017-07-20 02:43:00", + "2017-07-20 02:44:00", + "2017-07-20 02:45:00", + "2017-07-20 02:46:00", + "2017-07-20 02:47:00", + "2017-07-20 02:48:00", + "2017-07-20 02:49:00", + "2017-07-20 02:50:00", + "2017-07-20 02:51:00", + "2017-07-20 02:52:00", + "2017-07-20 02:53:00", + "2017-07-20 02:54:00", + "2017-07-20 02:55:00", + "2017-07-20 02:56:00", + "2017-07-20 02:57:00", + "2017-07-20 02:58:00", + "2017-07-20 02:59:00", + "2017-07-20 03:00:00", + "2017-07-20 03:01:00", + "2017-07-20 03:02:00", + "2017-07-20 03:03:00", + "2017-07-20 03:04:00", + "2017-07-20 03:05:00", + "2017-07-20 03:06:00", + "2017-07-20 03:07:00", + "2017-07-20 03:08:00", + "2017-07-20 03:09:00", + "2017-07-20 03:10:00", + "2017-07-20 03:11:00", + "2017-07-20 03:12:00", + "2017-07-20 03:13:00", + "2017-07-20 03:14:00", + "2017-07-20 03:15:00", + "2017-07-20 03:16:00", + "2017-07-20 03:17:00", + "2017-07-20 03:18:00", + "2017-07-20 03:19:00", + "2017-07-20 03:20:00", + "2017-07-20 03:21:00", + "2017-07-20 03:22:00", + "2017-07-20 03:23:00", + "2017-07-20 03:24:00", + "2017-07-20 03:25:00", + "2017-07-20 03:26:00", + "2017-07-20 03:27:00", + "2017-07-20 03:28:00", + "2017-07-20 03:29:00", + "2017-07-20 03:30:00", + "2017-07-20 03:31:00", + "2017-07-20 03:32:00", + "2017-07-20 03:33:00", + "2017-07-20 03:34:00", + "2017-07-20 03:35:00", + "2017-07-20 03:36:00", + "2017-07-20 03:37:00", + "2017-07-20 03:38:00", + "2017-07-20 03:39:00", + "2017-07-20 03:40:00", + "2017-07-20 03:41:00", + "2017-07-20 03:42:00", + "2017-07-20 03:43:00", + "2017-07-20 03:44:00", + "2017-07-20 03:45:00", + "2017-07-20 03:46:00", + "2017-07-20 03:47:00", + "2017-07-20 03:48:00", + "2017-07-20 03:49:00", + "2017-07-20 03:50:00", + "2017-07-20 03:51:00", + "2017-07-20 03:52:00", + "2017-07-20 03:53:00", + "2017-07-20 03:54:00", + "2017-07-20 03:55:00", + "2017-07-20 03:56:00", + "2017-07-20 03:57:00", + "2017-07-20 03:58:00", + "2017-07-20 03:59:00", + "2017-07-20 04:00:00", + "2017-07-20 04:01:00", + "2017-07-20 04:02:00", + "2017-07-20 04:03:00", + "2017-07-20 04:04:00", + "2017-07-20 04:05:00", + "2017-07-20 04:06:00", + "2017-07-20 04:07:00", + "2017-07-20 04:08:00", + "2017-07-20 04:09:00", + "2017-07-20 04:10:00", + "2017-07-20 04:11:00", + "2017-07-20 04:12:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 8, + 15, + 19, + 22, + 14, + 11, + 9, + 4, + 14, + 14, + 3, + 0, + 13, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 19, + 19, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 17, + 14, + 14, + 14, + 14, + 14, + 14, + 14, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 15, + 19, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 14, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 21, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 21, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 11, + 4, + 17, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 27, + 36, + 33, + 32, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 18, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 18, + 21, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 20, + 19, + 20, + 20 + ], + "yaxis": "y" + }, + { + "name": "PAPmoy", + "type": "scatter", + "uid": "86e46522-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-19 20:42:00", + "2017-07-19 20:43:00", + "2017-07-19 20:44:00", + "2017-07-19 20:45:00", + "2017-07-19 20:46:00", + "2017-07-19 20:47:00", + "2017-07-19 20:48:00", + "2017-07-19 20:49:00", + "2017-07-19 20:50:00", + "2017-07-19 20:51:00", + "2017-07-19 20:52:00", + "2017-07-19 20:53:00", + "2017-07-19 20:54:00", + "2017-07-19 20:55:00", + "2017-07-19 20:56:00", + "2017-07-19 20:57:00", + "2017-07-19 20:58:00", + "2017-07-19 20:59:00", + "2017-07-19 21:00:00", + "2017-07-19 21:01:00", + "2017-07-19 21:02:00", + "2017-07-19 21:03:00", + "2017-07-19 21:04:00", + "2017-07-19 21:05:00", + "2017-07-19 21:06:00", + "2017-07-19 21:07:00", + "2017-07-19 21:08:00", + "2017-07-19 21:09:00", + "2017-07-19 21:10:00", + "2017-07-19 21:11:00", + "2017-07-19 21:12:00", + "2017-07-19 21:13:00", + "2017-07-19 21:14:00", + "2017-07-19 21:15:00", + "2017-07-19 21:16:00", + "2017-07-19 21:17:00", + "2017-07-19 21:18:00", + "2017-07-19 21:19:00", + "2017-07-19 21:20:00", + "2017-07-19 21:21:00", + "2017-07-19 21:22:00", + "2017-07-19 21:23:00", + "2017-07-19 21:24:00", + "2017-07-19 21:25:00", + "2017-07-19 21:26:00", + "2017-07-19 21:27:00", + "2017-07-19 21:28:00", + "2017-07-19 21:29:00", + "2017-07-19 21:30:00", + "2017-07-19 21:31:00", + "2017-07-19 21:32:00", + "2017-07-19 21:33:00", + "2017-07-19 21:34:00", + "2017-07-19 21:35:00", + "2017-07-19 21:36:00", + "2017-07-19 21:37:00", + "2017-07-19 21:38:00", + "2017-07-19 21:39:00", + "2017-07-19 21:40:00", + "2017-07-19 21:41:00", + "2017-07-19 21:42:00", + "2017-07-19 21:43:00", + "2017-07-19 21:44:00", + "2017-07-19 21:45:00", + "2017-07-19 21:46:00", + "2017-07-19 21:47:00", + "2017-07-19 21:48:00", + "2017-07-19 21:49:00", + "2017-07-19 21:50:00", + "2017-07-19 21:51:00", + "2017-07-19 21:52:00", + "2017-07-19 21:53:00", + "2017-07-19 21:54:00", + "2017-07-19 21:55:00", + "2017-07-19 21:56:00", + "2017-07-19 21:57:00", + "2017-07-19 21:58:00", + "2017-07-19 21:59:00", + "2017-07-19 22:00:00", + "2017-07-19 22:01:00", + "2017-07-19 22:02:00", + "2017-07-19 22:03:00", + "2017-07-19 22:04:00", + "2017-07-19 22:05:00", + "2017-07-19 22:06:00", + "2017-07-19 22:07:00", + "2017-07-19 22:08:00", + "2017-07-19 22:09:00", + "2017-07-19 22:10:00", + "2017-07-19 22:11:00", + "2017-07-19 22:12:00", + "2017-07-19 22:13:00", + "2017-07-19 22:14:00", + "2017-07-19 22:15:00", + "2017-07-19 22:16:00", + "2017-07-19 22:17:00", + "2017-07-19 22:18:00", + "2017-07-19 22:19:00", + "2017-07-19 22:20:00", + "2017-07-19 22:21:00", + "2017-07-19 22:22:00", + "2017-07-19 22:23:00", + "2017-07-19 22:24:00", + "2017-07-19 22:25:00", + "2017-07-19 22:26:00", + "2017-07-19 22:27:00", + "2017-07-19 22:28:00", + "2017-07-19 22:29:00", + "2017-07-19 22:30:00", + "2017-07-19 22:31:00", + "2017-07-19 22:32:00", + "2017-07-19 22:33:00", + "2017-07-19 22:34:00", + "2017-07-19 22:35:00", + "2017-07-19 22:36:00", + "2017-07-19 22:37:00", + "2017-07-19 22:38:00", + "2017-07-19 22:39:00", + "2017-07-19 22:40:00", + "2017-07-19 22:41:00", + "2017-07-19 22:42:00", + "2017-07-19 22:43:00", + "2017-07-19 22:44:00", + "2017-07-19 22:45:00", + "2017-07-19 22:46:00", + "2017-07-19 22:47:00", + "2017-07-19 22:48:00", + "2017-07-19 22:49:00", + "2017-07-19 22:50:00", + "2017-07-19 22:51:00", + "2017-07-19 22:52:00", + "2017-07-19 22:53:00", + "2017-07-19 22:54:00", + "2017-07-19 22:55:00", + "2017-07-19 22:56:00", + "2017-07-19 22:57:00", + "2017-07-19 22:58:00", + "2017-07-19 22:59:00", + "2017-07-19 23:00:00", + "2017-07-19 23:01:00", + "2017-07-19 23:02:00", + "2017-07-19 23:03:00", + "2017-07-19 23:04:00", + "2017-07-19 23:05:00", + "2017-07-19 23:06:00", + "2017-07-19 23:07:00", + "2017-07-19 23:08:00", + "2017-07-19 23:09:00", + "2017-07-19 23:10:00", + "2017-07-19 23:11:00", + "2017-07-19 23:12:00", + "2017-07-19 23:13:00", + "2017-07-19 23:14:00", + "2017-07-19 23:15:00", + "2017-07-19 23:16:00", + "2017-07-19 23:17:00", + "2017-07-19 23:18:00", + "2017-07-19 23:19:00", + "2017-07-19 23:20:00", + "2017-07-19 23:21:00", + "2017-07-19 23:22:00", + "2017-07-19 23:23:00", + "2017-07-19 23:24:00", + "2017-07-19 23:25:00", + "2017-07-19 23:26:00", + "2017-07-19 23:27:00", + "2017-07-19 23:28:00", + "2017-07-19 23:29:00", + "2017-07-19 23:30:00", + "2017-07-19 23:31:00", + "2017-07-19 23:32:00", + "2017-07-19 23:33:00", + "2017-07-19 23:34:00", + "2017-07-19 23:35:00", + "2017-07-19 23:36:00", + "2017-07-19 23:37:00", + "2017-07-19 23:38:00", + "2017-07-19 23:39:00", + "2017-07-19 23:40:00", + "2017-07-19 23:41:00", + "2017-07-19 23:42:00", + "2017-07-19 23:43:00", + "2017-07-19 23:44:00", + "2017-07-19 23:45:00", + "2017-07-19 23:46:00", + "2017-07-19 23:47:00", + "2017-07-19 23:48:00", + "2017-07-19 23:49:00", + "2017-07-19 23:50:00", + "2017-07-19 23:51:00", + "2017-07-19 23:52:00", + "2017-07-19 23:53:00", + "2017-07-19 23:54:00", + "2017-07-19 23:55:00", + "2017-07-19 23:56:00", + "2017-07-19 23:57:00", + "2017-07-19 23:58:00", + "2017-07-19 23:59:00", + "2017-07-20", + "2017-07-20 00:01:00", + "2017-07-20 00:02:00", + "2017-07-20 00:03:00", + "2017-07-20 00:04:00", + "2017-07-20 00:05:00", + "2017-07-20 00:06:00", + "2017-07-20 00:07:00", + "2017-07-20 00:08:00", + "2017-07-20 00:09:00", + "2017-07-20 00:10:00", + "2017-07-20 00:11:00", + "2017-07-20 00:12:00", + "2017-07-20 00:13:00", + "2017-07-20 00:14:00", + "2017-07-20 00:15:00", + "2017-07-20 00:16:00", + "2017-07-20 00:17:00", + "2017-07-20 00:18:00", + "2017-07-20 00:19:00", + "2017-07-20 00:20:00", + "2017-07-20 00:21:00", + "2017-07-20 00:22:00", + "2017-07-20 00:23:00", + "2017-07-20 00:24:00", + "2017-07-20 00:25:00", + "2017-07-20 00:26:00", + "2017-07-20 00:27:00", + "2017-07-20 00:28:00", + "2017-07-20 00:29:00", + "2017-07-20 00:30:00", + "2017-07-20 00:31:00", + "2017-07-20 00:32:00", + "2017-07-20 00:33:00", + "2017-07-20 00:34:00", + "2017-07-20 00:35:00", + "2017-07-20 00:36:00", + "2017-07-20 00:37:00", + "2017-07-20 00:38:00", + "2017-07-20 00:39:00", + "2017-07-20 00:40:00", + "2017-07-20 00:41:00", + "2017-07-20 00:42:00", + "2017-07-20 00:43:00", + "2017-07-20 00:44:00", + "2017-07-20 00:45:00", + "2017-07-20 00:46:00", + "2017-07-20 00:47:00", + "2017-07-20 00:48:00", + "2017-07-20 00:49:00", + "2017-07-20 00:50:00", + "2017-07-20 00:51:00", + "2017-07-20 00:52:00", + "2017-07-20 00:53:00", + "2017-07-20 00:54:00", + "2017-07-20 00:55:00", + "2017-07-20 00:56:00", + "2017-07-20 00:57:00", + "2017-07-20 00:58:00", + "2017-07-20 00:59:00", + "2017-07-20 01:00:00", + "2017-07-20 01:01:00", + "2017-07-20 01:02:00", + "2017-07-20 01:03:00", + "2017-07-20 01:04:00", + "2017-07-20 01:05:00", + "2017-07-20 01:06:00", + "2017-07-20 01:07:00", + "2017-07-20 01:08:00", + "2017-07-20 01:09:00", + "2017-07-20 01:10:00", + "2017-07-20 01:11:00", + "2017-07-20 01:12:00", + "2017-07-20 01:13:00", + "2017-07-20 01:14:00", + "2017-07-20 01:15:00", + "2017-07-20 01:16:00", + "2017-07-20 01:17:00", + "2017-07-20 01:18:00", + "2017-07-20 01:19:00", + "2017-07-20 01:20:00", + "2017-07-20 01:21:00", + "2017-07-20 01:22:00", + "2017-07-20 01:23:00", + "2017-07-20 01:24:00", + "2017-07-20 01:25:00", + "2017-07-20 01:26:00", + "2017-07-20 01:27:00", + "2017-07-20 01:28:00", + "2017-07-20 01:29:00", + "2017-07-20 01:30:00", + "2017-07-20 01:31:00", + "2017-07-20 01:32:00", + "2017-07-20 01:33:00", + "2017-07-20 01:34:00", + "2017-07-20 01:35:00", + "2017-07-20 01:36:00", + "2017-07-20 01:37:00", + "2017-07-20 01:38:00", + "2017-07-20 01:39:00", + "2017-07-20 01:40:00", + "2017-07-20 01:41:00", + "2017-07-20 01:42:00", + "2017-07-20 01:43:00", + "2017-07-20 01:44:00", + "2017-07-20 01:45:00", + "2017-07-20 01:46:00", + "2017-07-20 01:47:00", + "2017-07-20 01:48:00", + "2017-07-20 01:49:00", + "2017-07-20 01:50:00", + "2017-07-20 01:51:00", + "2017-07-20 01:52:00", + "2017-07-20 01:53:00", + "2017-07-20 01:54:00", + "2017-07-20 01:55:00", + "2017-07-20 01:56:00", + "2017-07-20 01:57:00", + "2017-07-20 01:58:00", + "2017-07-20 01:59:00", + "2017-07-20 02:00:00", + "2017-07-20 02:01:00", + "2017-07-20 02:02:00", + "2017-07-20 02:03:00", + "2017-07-20 02:04:00", + "2017-07-20 02:05:00", + "2017-07-20 02:06:00", + "2017-07-20 02:07:00", + "2017-07-20 02:08:00", + "2017-07-20 02:09:00", + "2017-07-20 02:10:00", + "2017-07-20 02:11:00", + "2017-07-20 02:12:00", + "2017-07-20 02:13:00", + "2017-07-20 02:14:00", + "2017-07-20 02:15:00", + "2017-07-20 02:16:00", + "2017-07-20 02:17:00", + "2017-07-20 02:18:00", + "2017-07-20 02:19:00", + "2017-07-20 02:20:00", + "2017-07-20 02:21:00", + "2017-07-20 02:22:00", + "2017-07-20 02:23:00", + "2017-07-20 02:24:00", + "2017-07-20 02:25:00", + "2017-07-20 02:26:00", + "2017-07-20 02:27:00", + "2017-07-20 02:28:00", + "2017-07-20 02:29:00", + "2017-07-20 02:30:00", + "2017-07-20 02:31:00", + "2017-07-20 02:32:00", + "2017-07-20 02:33:00", + "2017-07-20 02:34:00", + "2017-07-20 02:35:00", + "2017-07-20 02:36:00", + "2017-07-20 02:37:00", + "2017-07-20 02:38:00", + "2017-07-20 02:39:00", + "2017-07-20 02:40:00", + "2017-07-20 02:41:00", + "2017-07-20 02:42:00", + "2017-07-20 02:43:00", + "2017-07-20 02:44:00", + "2017-07-20 02:45:00", + "2017-07-20 02:46:00", + "2017-07-20 02:47:00", + "2017-07-20 02:48:00", + "2017-07-20 02:49:00", + "2017-07-20 02:50:00", + "2017-07-20 02:51:00", + "2017-07-20 02:52:00", + "2017-07-20 02:53:00", + "2017-07-20 02:54:00", + "2017-07-20 02:55:00", + "2017-07-20 02:56:00", + "2017-07-20 02:57:00", + "2017-07-20 02:58:00", + "2017-07-20 02:59:00", + "2017-07-20 03:00:00", + "2017-07-20 03:01:00", + "2017-07-20 03:02:00", + "2017-07-20 03:03:00", + "2017-07-20 03:04:00", + "2017-07-20 03:05:00", + "2017-07-20 03:06:00", + "2017-07-20 03:07:00", + "2017-07-20 03:08:00", + "2017-07-20 03:09:00", + "2017-07-20 03:10:00", + "2017-07-20 03:11:00", + "2017-07-20 03:12:00", + "2017-07-20 03:13:00", + "2017-07-20 03:14:00", + "2017-07-20 03:15:00", + "2017-07-20 03:16:00", + "2017-07-20 03:17:00", + "2017-07-20 03:18:00", + "2017-07-20 03:19:00", + "2017-07-20 03:20:00", + "2017-07-20 03:21:00", + "2017-07-20 03:22:00", + "2017-07-20 03:23:00", + "2017-07-20 03:24:00", + "2017-07-20 03:25:00", + "2017-07-20 03:26:00", + "2017-07-20 03:27:00", + "2017-07-20 03:28:00", + "2017-07-20 03:29:00", + "2017-07-20 03:30:00", + "2017-07-20 03:31:00", + "2017-07-20 03:32:00", + "2017-07-20 03:33:00", + "2017-07-20 03:34:00", + "2017-07-20 03:35:00", + "2017-07-20 03:36:00", + "2017-07-20 03:37:00", + "2017-07-20 03:38:00", + "2017-07-20 03:39:00", + "2017-07-20 03:40:00", + "2017-07-20 03:41:00", + "2017-07-20 03:42:00", + "2017-07-20 03:43:00", + "2017-07-20 03:44:00", + "2017-07-20 03:45:00", + "2017-07-20 03:46:00", + "2017-07-20 03:47:00", + "2017-07-20 03:48:00", + "2017-07-20 03:49:00", + "2017-07-20 03:50:00", + "2017-07-20 03:51:00", + "2017-07-20 03:52:00", + "2017-07-20 03:53:00", + "2017-07-20 03:54:00", + "2017-07-20 03:55:00", + "2017-07-20 03:56:00", + "2017-07-20 03:57:00", + "2017-07-20 03:58:00", + "2017-07-20 03:59:00", + "2017-07-20 04:00:00", + "2017-07-20 04:01:00", + "2017-07-20 04:02:00", + "2017-07-20 04:03:00", + "2017-07-20 04:04:00", + "2017-07-20 04:05:00", + "2017-07-20 04:06:00", + "2017-07-20 04:07:00", + "2017-07-20 04:08:00", + "2017-07-20 04:09:00", + "2017-07-20 04:10:00", + "2017-07-20 04:11:00", + "2017-07-20 04:12:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 25, + 23, + 23, + 23, + 20, + 17, + 24, + 21, + 25, + 23, + 23, + 23, + 15, + 14, + 15, + 14, + 13, + 15, + 15, + 16, + 15, + 18, + 17, + 12, + 15, + 17, + 17, + 16, + 15, + 15, + 15, + 15, + 9, + 12, + 12, + 8, + 9, + 7, + 20, + 11, + 16, + 20, + 20, + 13, + 16, + 25, + 20, + 16, + 19, + 12, + 10, + 10, + 11, + 8, + 9, + 7, + 10, + 17, + 14, + 14, + 16, + 11, + 13, + 16, + 25, + 24, + 23, + 23, + 22, + 24, + 22, + 23, + 23, + 21, + 24, + 18, + 19, + 16, + 17, + 19, + 19, + 10, + 21, + 15, + 16, + 15, + 18, + 20, + 14, + 9, + 8, + 9, + 8, + 9, + 8, + 9, + 10, + 10, + 9, + 9, + 9, + 9, + 9, + 9, + 10, + 11, + 9, + 9, + 11, + 12, + 12, + 14, + 15, + 15, + 14, + 15, + 14, + 14, + 14, + 13, + 13, + 12, + 11, + 11, + 12, + 9, + 13, + 15, + 12, + 16, + 12, + 13, + 16, + 26, + 26, + 25, + 23, + 30, + 30, + 31, + 30, + 28, + 29, + 27, + 28, + 28, + 27, + 26, + 26, + 25, + 25, + 24, + 25, + 26, + 25, + 27, + 26, + 27, + 27, + 26, + 26, + 26, + 27, + 25, + 27, + 27, + 26, + 26, + 24, + 25, + 25, + 26, + 28, + 25, + 25, + 25, + 25, + 25, + 26, + 25, + 26, + 25, + 26, + 26, + 27, + 25, + 24, + 25, + 26, + 26, + 25, + 25, + 25, + 25, + 25, + 23, + 23, + 25, + 25, + 26, + 27, + 25, + 24, + 24, + 24, + 23, + 24, + 22, + 23, + 23, + 20, + 22, + 28, + 30, + 31, + 32, + 32, + 32, + 30, + 25, + 22, + 19, + 19, + 20, + 21, + 21, + 20, + 19, + 20, + 20, + 20, + 20, + 20, + 21, + 20, + 20, + 27, + 28, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 22, + 21, + 20, + 20, + 20, + 23, + 23, + 23, + 23, + 23, + 23, + 23, + 23, + 22, + 21, + 21, + 21, + 21, + 21, + 21, + 21, + 21, + 21, + 21, + 20, + 20, + 20, + 17, + 19, + 19, + 19, + 21, + 23, + 20, + 31, + 29, + 31, + 45, + 47, + 47, + 40, + 4, + 79, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "SpO2", + "type": "scatter", + "uid": "86e465ae-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-19 20:42:00", + "2017-07-19 20:43:00", + "2017-07-19 20:44:00", + "2017-07-19 20:45:00", + "2017-07-19 20:46:00", + "2017-07-19 20:47:00", + "2017-07-19 20:48:00", + "2017-07-19 20:49:00", + "2017-07-19 20:50:00", + "2017-07-19 20:51:00", + "2017-07-19 20:52:00", + "2017-07-19 20:53:00", + "2017-07-19 20:54:00", + "2017-07-19 20:55:00", + "2017-07-19 20:56:00", + "2017-07-19 20:57:00", + "2017-07-19 20:58:00", + "2017-07-19 20:59:00", + "2017-07-19 21:00:00", + "2017-07-19 21:01:00", + "2017-07-19 21:02:00", + "2017-07-19 21:03:00", + "2017-07-19 21:04:00", + "2017-07-19 21:05:00", + "2017-07-19 21:06:00", + "2017-07-19 21:07:00", + "2017-07-19 21:08:00", + "2017-07-19 21:09:00", + "2017-07-19 21:10:00", + "2017-07-19 21:11:00", + "2017-07-19 21:12:00", + "2017-07-19 21:13:00", + "2017-07-19 21:14:00", + "2017-07-19 21:15:00", + "2017-07-19 21:16:00", + "2017-07-19 21:17:00", + "2017-07-19 21:18:00", + "2017-07-19 21:19:00", + "2017-07-19 21:20:00", + "2017-07-19 21:21:00", + "2017-07-19 21:22:00", + "2017-07-19 21:23:00", + "2017-07-19 21:24:00", + "2017-07-19 21:25:00", + "2017-07-19 21:26:00", + "2017-07-19 21:27:00", + "2017-07-19 21:28:00", + "2017-07-19 21:29:00", + "2017-07-19 21:30:00", + "2017-07-19 21:31:00", + "2017-07-19 21:32:00", + "2017-07-19 21:33:00", + "2017-07-19 21:34:00", + "2017-07-19 21:35:00", + "2017-07-19 21:36:00", + "2017-07-19 21:37:00", + "2017-07-19 21:38:00", + "2017-07-19 21:39:00", + "2017-07-19 21:40:00", + "2017-07-19 21:41:00", + "2017-07-19 21:42:00", + "2017-07-19 21:43:00", + "2017-07-19 21:44:00", + "2017-07-19 21:45:00", + "2017-07-19 21:46:00", + "2017-07-19 21:47:00", + "2017-07-19 21:48:00", + "2017-07-19 21:49:00", + "2017-07-19 21:50:00", + "2017-07-19 21:51:00", + "2017-07-19 21:52:00", + "2017-07-19 21:53:00", + "2017-07-19 21:54:00", + "2017-07-19 21:55:00", + "2017-07-19 21:56:00", + "2017-07-19 21:57:00", + "2017-07-19 21:58:00", + "2017-07-19 21:59:00", + "2017-07-19 22:00:00", + "2017-07-19 22:01:00", + "2017-07-19 22:02:00", + "2017-07-19 22:03:00", + "2017-07-19 22:04:00", + "2017-07-19 22:05:00", + "2017-07-19 22:06:00", + "2017-07-19 22:07:00", + "2017-07-19 22:08:00", + "2017-07-19 22:09:00", + "2017-07-19 22:10:00", + "2017-07-19 22:11:00", + "2017-07-19 22:12:00", + "2017-07-19 22:13:00", + "2017-07-19 22:14:00", + "2017-07-19 22:15:00", + "2017-07-19 22:16:00", + "2017-07-19 22:17:00", + "2017-07-19 22:18:00", + "2017-07-19 22:19:00", + "2017-07-19 22:20:00", + "2017-07-19 22:21:00", + "2017-07-19 22:22:00", + "2017-07-19 22:23:00", + "2017-07-19 22:24:00", + "2017-07-19 22:25:00", + "2017-07-19 22:26:00", + "2017-07-19 22:27:00", + "2017-07-19 22:28:00", + "2017-07-19 22:29:00", + "2017-07-19 22:30:00", + "2017-07-19 22:31:00", + "2017-07-19 22:32:00", + "2017-07-19 22:33:00", + "2017-07-19 22:34:00", + "2017-07-19 22:35:00", + "2017-07-19 22:36:00", + "2017-07-19 22:37:00", + "2017-07-19 22:38:00", + "2017-07-19 22:39:00", + "2017-07-19 22:40:00", + "2017-07-19 22:41:00", + "2017-07-19 22:42:00", + "2017-07-19 22:43:00", + "2017-07-19 22:44:00", + "2017-07-19 22:45:00", + "2017-07-19 22:46:00", + "2017-07-19 22:47:00", + "2017-07-19 22:48:00", + "2017-07-19 22:49:00", + "2017-07-19 22:50:00", + "2017-07-19 22:51:00", + "2017-07-19 22:52:00", + "2017-07-19 22:53:00", + "2017-07-19 22:54:00", + "2017-07-19 22:55:00", + "2017-07-19 22:56:00", + "2017-07-19 22:57:00", + "2017-07-19 22:58:00", + "2017-07-19 22:59:00", + "2017-07-19 23:00:00", + "2017-07-19 23:01:00", + "2017-07-19 23:02:00", + "2017-07-19 23:03:00", + "2017-07-19 23:04:00", + "2017-07-19 23:05:00", + "2017-07-19 23:06:00", + "2017-07-19 23:07:00", + "2017-07-19 23:08:00", + "2017-07-19 23:09:00", + "2017-07-19 23:10:00", + "2017-07-19 23:11:00", + "2017-07-19 23:12:00", + "2017-07-19 23:13:00", + "2017-07-19 23:14:00", + "2017-07-19 23:15:00", + "2017-07-19 23:16:00", + "2017-07-19 23:17:00", + "2017-07-19 23:18:00", + "2017-07-19 23:19:00", + "2017-07-19 23:20:00", + "2017-07-19 23:21:00", + "2017-07-19 23:22:00", + "2017-07-19 23:23:00", + "2017-07-19 23:24:00", + "2017-07-19 23:25:00", + "2017-07-19 23:26:00", + "2017-07-19 23:27:00", + "2017-07-19 23:28:00", + "2017-07-19 23:29:00", + "2017-07-19 23:30:00", + "2017-07-19 23:31:00", + "2017-07-19 23:32:00", + "2017-07-19 23:33:00", + "2017-07-19 23:34:00", + "2017-07-19 23:35:00", + "2017-07-19 23:36:00", + "2017-07-19 23:37:00", + "2017-07-19 23:38:00", + "2017-07-19 23:39:00", + "2017-07-19 23:40:00", + "2017-07-19 23:41:00", + "2017-07-19 23:42:00", + "2017-07-19 23:43:00", + "2017-07-19 23:44:00", + "2017-07-19 23:45:00", + "2017-07-19 23:46:00", + "2017-07-19 23:47:00", + "2017-07-19 23:48:00", + "2017-07-19 23:49:00", + "2017-07-19 23:50:00", + "2017-07-19 23:51:00", + "2017-07-19 23:52:00", + "2017-07-19 23:53:00", + "2017-07-19 23:54:00", + "2017-07-19 23:55:00", + "2017-07-19 23:56:00", + "2017-07-19 23:57:00", + "2017-07-19 23:58:00", + "2017-07-19 23:59:00", + "2017-07-20", + "2017-07-20 00:01:00", + "2017-07-20 00:02:00", + "2017-07-20 00:03:00", + "2017-07-20 00:04:00", + "2017-07-20 00:05:00", + "2017-07-20 00:06:00", + "2017-07-20 00:07:00", + "2017-07-20 00:08:00", + "2017-07-20 00:09:00", + "2017-07-20 00:10:00", + "2017-07-20 00:11:00", + "2017-07-20 00:12:00", + "2017-07-20 00:13:00", + "2017-07-20 00:14:00", + "2017-07-20 00:15:00", + "2017-07-20 00:16:00", + "2017-07-20 00:17:00", + "2017-07-20 00:18:00", + "2017-07-20 00:19:00", + "2017-07-20 00:20:00", + "2017-07-20 00:21:00", + "2017-07-20 00:22:00", + "2017-07-20 00:23:00", + "2017-07-20 00:24:00", + "2017-07-20 00:25:00", + "2017-07-20 00:26:00", + "2017-07-20 00:27:00", + "2017-07-20 00:28:00", + "2017-07-20 00:29:00", + "2017-07-20 00:30:00", + "2017-07-20 00:31:00", + "2017-07-20 00:32:00", + "2017-07-20 00:33:00", + "2017-07-20 00:34:00", + "2017-07-20 00:35:00", + "2017-07-20 00:36:00", + "2017-07-20 00:37:00", + "2017-07-20 00:38:00", + "2017-07-20 00:39:00", + "2017-07-20 00:40:00", + "2017-07-20 00:41:00", + "2017-07-20 00:42:00", + "2017-07-20 00:43:00", + "2017-07-20 00:44:00", + "2017-07-20 00:45:00", + "2017-07-20 00:46:00", + "2017-07-20 00:47:00", + "2017-07-20 00:48:00", + "2017-07-20 00:49:00", + "2017-07-20 00:50:00", + "2017-07-20 00:51:00", + "2017-07-20 00:52:00", + "2017-07-20 00:53:00", + "2017-07-20 00:54:00", + "2017-07-20 00:55:00", + "2017-07-20 00:56:00", + "2017-07-20 00:57:00", + "2017-07-20 00:58:00", + "2017-07-20 00:59:00", + "2017-07-20 01:00:00", + "2017-07-20 01:01:00", + "2017-07-20 01:02:00", + "2017-07-20 01:03:00", + "2017-07-20 01:04:00", + "2017-07-20 01:05:00", + "2017-07-20 01:06:00", + "2017-07-20 01:07:00", + "2017-07-20 01:08:00", + "2017-07-20 01:09:00", + "2017-07-20 01:10:00", + "2017-07-20 01:11:00", + "2017-07-20 01:12:00", + "2017-07-20 01:13:00", + "2017-07-20 01:14:00", + "2017-07-20 01:15:00", + "2017-07-20 01:16:00", + "2017-07-20 01:17:00", + "2017-07-20 01:18:00", + "2017-07-20 01:19:00", + "2017-07-20 01:20:00", + "2017-07-20 01:21:00", + "2017-07-20 01:22:00", + "2017-07-20 01:23:00", + "2017-07-20 01:24:00", + "2017-07-20 01:25:00", + "2017-07-20 01:26:00", + "2017-07-20 01:27:00", + "2017-07-20 01:28:00", + "2017-07-20 01:29:00", + "2017-07-20 01:30:00", + "2017-07-20 01:31:00", + "2017-07-20 01:32:00", + "2017-07-20 01:33:00", + "2017-07-20 01:34:00", + "2017-07-20 01:35:00", + "2017-07-20 01:36:00", + "2017-07-20 01:37:00", + "2017-07-20 01:38:00", + "2017-07-20 01:39:00", + "2017-07-20 01:40:00", + "2017-07-20 01:41:00", + "2017-07-20 01:42:00", + "2017-07-20 01:43:00", + "2017-07-20 01:44:00", + "2017-07-20 01:45:00", + "2017-07-20 01:46:00", + "2017-07-20 01:47:00", + "2017-07-20 01:48:00", + "2017-07-20 01:49:00", + "2017-07-20 01:50:00", + "2017-07-20 01:51:00", + "2017-07-20 01:52:00", + "2017-07-20 01:53:00", + "2017-07-20 01:54:00", + "2017-07-20 01:55:00", + "2017-07-20 01:56:00", + "2017-07-20 01:57:00", + "2017-07-20 01:58:00", + "2017-07-20 01:59:00", + "2017-07-20 02:00:00", + "2017-07-20 02:01:00", + "2017-07-20 02:02:00", + "2017-07-20 02:03:00", + "2017-07-20 02:04:00", + "2017-07-20 02:05:00", + "2017-07-20 02:06:00", + "2017-07-20 02:07:00", + "2017-07-20 02:08:00", + "2017-07-20 02:09:00", + "2017-07-20 02:10:00", + "2017-07-20 02:11:00", + "2017-07-20 02:12:00", + "2017-07-20 02:13:00", + "2017-07-20 02:14:00", + "2017-07-20 02:15:00", + "2017-07-20 02:16:00", + "2017-07-20 02:17:00", + "2017-07-20 02:18:00", + "2017-07-20 02:19:00", + "2017-07-20 02:20:00", + "2017-07-20 02:21:00", + "2017-07-20 02:22:00", + "2017-07-20 02:23:00", + "2017-07-20 02:24:00", + "2017-07-20 02:25:00", + "2017-07-20 02:26:00", + "2017-07-20 02:27:00", + "2017-07-20 02:28:00", + "2017-07-20 02:29:00", + "2017-07-20 02:30:00", + "2017-07-20 02:31:00", + "2017-07-20 02:32:00", + "2017-07-20 02:33:00", + "2017-07-20 02:34:00", + "2017-07-20 02:35:00", + "2017-07-20 02:36:00", + "2017-07-20 02:37:00", + "2017-07-20 02:38:00", + "2017-07-20 02:39:00", + "2017-07-20 02:40:00", + "2017-07-20 02:41:00", + "2017-07-20 02:42:00", + "2017-07-20 02:43:00", + "2017-07-20 02:44:00", + "2017-07-20 02:45:00", + "2017-07-20 02:46:00", + "2017-07-20 02:47:00", + "2017-07-20 02:48:00", + "2017-07-20 02:49:00", + "2017-07-20 02:50:00", + "2017-07-20 02:51:00", + "2017-07-20 02:52:00", + "2017-07-20 02:53:00", + "2017-07-20 02:54:00", + "2017-07-20 02:55:00", + "2017-07-20 02:56:00", + "2017-07-20 02:57:00", + "2017-07-20 02:58:00", + "2017-07-20 02:59:00", + "2017-07-20 03:00:00", + "2017-07-20 03:01:00", + "2017-07-20 03:02:00", + "2017-07-20 03:03:00", + "2017-07-20 03:04:00", + "2017-07-20 03:05:00", + "2017-07-20 03:06:00", + "2017-07-20 03:07:00", + "2017-07-20 03:08:00", + "2017-07-20 03:09:00", + "2017-07-20 03:10:00", + "2017-07-20 03:11:00", + "2017-07-20 03:12:00", + "2017-07-20 03:13:00", + "2017-07-20 03:14:00", + "2017-07-20 03:15:00", + "2017-07-20 03:16:00", + "2017-07-20 03:17:00", + "2017-07-20 03:18:00", + "2017-07-20 03:19:00", + "2017-07-20 03:20:00", + "2017-07-20 03:21:00", + "2017-07-20 03:22:00", + "2017-07-20 03:23:00", + "2017-07-20 03:24:00", + "2017-07-20 03:25:00", + "2017-07-20 03:26:00", + "2017-07-20 03:27:00", + "2017-07-20 03:28:00", + "2017-07-20 03:29:00", + "2017-07-20 03:30:00", + "2017-07-20 03:31:00", + "2017-07-20 03:32:00", + "2017-07-20 03:33:00", + "2017-07-20 03:34:00", + "2017-07-20 03:35:00", + "2017-07-20 03:36:00", + "2017-07-20 03:37:00", + "2017-07-20 03:38:00", + "2017-07-20 03:39:00", + "2017-07-20 03:40:00", + "2017-07-20 03:41:00", + "2017-07-20 03:42:00", + "2017-07-20 03:43:00", + "2017-07-20 03:44:00", + "2017-07-20 03:45:00", + "2017-07-20 03:46:00", + "2017-07-20 03:47:00", + "2017-07-20 03:48:00", + "2017-07-20 03:49:00", + "2017-07-20 03:50:00", + "2017-07-20 03:51:00", + "2017-07-20 03:52:00", + "2017-07-20 03:53:00", + "2017-07-20 03:54:00", + "2017-07-20 03:55:00", + "2017-07-20 03:56:00", + "2017-07-20 03:57:00", + "2017-07-20 03:58:00", + "2017-07-20 03:59:00", + "2017-07-20 04:00:00", + "2017-07-20 04:01:00", + "2017-07-20 04:02:00", + "2017-07-20 04:03:00", + "2017-07-20 04:04:00", + "2017-07-20 04:05:00", + "2017-07-20 04:06:00", + "2017-07-20 04:07:00", + "2017-07-20 04:08:00", + "2017-07-20 04:09:00", + "2017-07-20 04:10:00", + "2017-07-20 04:11:00", + "2017-07-20 04:12:00" + ], + "y": [ + 91, + 0, + 0, + 0, + 0, + 91, + 96, + 94, + 87, + 91, + 89, + 0, + 0, + 98, + 92, + 93, + 0, + 89, + 95, + 95, + 95, + 95, + 95, + 96, + 95, + 95, + 94, + 95, + 99, + 99, + 99, + 99, + 98, + 98, + 98, + 99, + 100, + 100, + 100, + 98, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 0, + 0, + 0, + 0, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 99, + 98, + 99, + 99, + 98, + 98, + 99, + 98, + 98, + 98, + 97, + 97, + 98, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 95, + 93, + 92, + 92, + 93, + 93, + 93, + 93, + 93, + 94, + 92, + 93, + 96, + 95, + 94, + 96, + 99, + 99, + 98, + 99, + 99, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 79, + 76, + 76, + 81, + 99, + 99, + 99, + 98, + 98, + 98, + 97, + 99, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 96, + 99, + 100, + 99, + 100, + 99, + 91, + 85, + 79, + 85, + 88, + 90, + 98, + 99, + 98, + 97, + 97, + 96, + 97, + 97, + 98, + 97, + 96, + 96, + 95, + 96, + 95, + 95, + 96, + 96, + 95, + 95, + 96, + 97, + 97, + 96, + 97, + 96, + 96, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 97, + 98, + 97, + 97, + 97, + 98, + 98, + 97, + 97, + 97, + 98, + 95, + 93, + 96, + 94, + 98, + 99, + 99, + 99, + 97, + 97, + 95, + 94, + 94, + 94, + 93, + 93, + 92, + 92, + 91, + 92, + 92, + 92, + 91, + 91, + 91, + 94, + 94, + 96, + 94, + 94, + 86, + 85, + 89, + 92, + 93, + 94, + 94, + 95, + 94, + 94, + 93, + 94, + 92, + 92, + 92, + 95, + 92, + 91, + 90, + 90, + 88, + 89, + 100, + 99, + 96, + 99, + 99, + 99, + 99, + 99, + 100, + 99, + 100, + 99, + 100, + 100, + 99, + 99, + 99, + 98, + 100, + 98, + 100, + 99, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 99, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 100, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "PASm", + "type": "scatter", + "uid": "86e46626-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-19 20:42:00", + "2017-07-19 20:43:00", + "2017-07-19 20:44:00", + "2017-07-19 20:45:00", + "2017-07-19 20:46:00", + "2017-07-19 20:47:00", + "2017-07-19 20:48:00", + "2017-07-19 20:49:00", + "2017-07-19 20:50:00", + "2017-07-19 20:51:00", + "2017-07-19 20:52:00", + "2017-07-19 20:53:00", + "2017-07-19 20:54:00", + "2017-07-19 20:55:00", + "2017-07-19 20:56:00", + "2017-07-19 20:57:00", + "2017-07-19 20:58:00", + "2017-07-19 20:59:00", + "2017-07-19 21:00:00", + "2017-07-19 21:01:00", + "2017-07-19 21:02:00", + "2017-07-19 21:03:00", + "2017-07-19 21:04:00", + "2017-07-19 21:05:00", + "2017-07-19 21:06:00", + "2017-07-19 21:07:00", + "2017-07-19 21:08:00", + "2017-07-19 21:09:00", + "2017-07-19 21:10:00", + "2017-07-19 21:11:00", + "2017-07-19 21:12:00", + "2017-07-19 21:13:00", + "2017-07-19 21:14:00", + "2017-07-19 21:15:00", + "2017-07-19 21:16:00", + "2017-07-19 21:17:00", + "2017-07-19 21:18:00", + "2017-07-19 21:19:00", + "2017-07-19 21:20:00", + "2017-07-19 21:21:00", + "2017-07-19 21:22:00", + "2017-07-19 21:23:00", + "2017-07-19 21:24:00", + "2017-07-19 21:25:00", + "2017-07-19 21:26:00", + "2017-07-19 21:27:00", + "2017-07-19 21:28:00", + "2017-07-19 21:29:00", + "2017-07-19 21:30:00", + "2017-07-19 21:31:00", + "2017-07-19 21:32:00", + "2017-07-19 21:33:00", + "2017-07-19 21:34:00", + "2017-07-19 21:35:00", + "2017-07-19 21:36:00", + "2017-07-19 21:37:00", + "2017-07-19 21:38:00", + "2017-07-19 21:39:00", + "2017-07-19 21:40:00", + "2017-07-19 21:41:00", + "2017-07-19 21:42:00", + "2017-07-19 21:43:00", + "2017-07-19 21:44:00", + "2017-07-19 21:45:00", + "2017-07-19 21:46:00", + "2017-07-19 21:47:00", + "2017-07-19 21:48:00", + "2017-07-19 21:49:00", + "2017-07-19 21:50:00", + "2017-07-19 21:51:00", + "2017-07-19 21:52:00", + "2017-07-19 21:53:00", + "2017-07-19 21:54:00", + "2017-07-19 21:55:00", + "2017-07-19 21:56:00", + "2017-07-19 21:57:00", + "2017-07-19 21:58:00", + "2017-07-19 21:59:00", + "2017-07-19 22:00:00", + "2017-07-19 22:01:00", + "2017-07-19 22:02:00", + "2017-07-19 22:03:00", + "2017-07-19 22:04:00", + "2017-07-19 22:05:00", + "2017-07-19 22:06:00", + "2017-07-19 22:07:00", + "2017-07-19 22:08:00", + "2017-07-19 22:09:00", + "2017-07-19 22:10:00", + "2017-07-19 22:11:00", + "2017-07-19 22:12:00", + "2017-07-19 22:13:00", + "2017-07-19 22:14:00", + "2017-07-19 22:15:00", + "2017-07-19 22:16:00", + "2017-07-19 22:17:00", + "2017-07-19 22:18:00", + "2017-07-19 22:19:00", + "2017-07-19 22:20:00", + "2017-07-19 22:21:00", + "2017-07-19 22:22:00", + "2017-07-19 22:23:00", + "2017-07-19 22:24:00", + "2017-07-19 22:25:00", + "2017-07-19 22:26:00", + "2017-07-19 22:27:00", + "2017-07-19 22:28:00", + "2017-07-19 22:29:00", + "2017-07-19 22:30:00", + "2017-07-19 22:31:00", + "2017-07-19 22:32:00", + "2017-07-19 22:33:00", + "2017-07-19 22:34:00", + "2017-07-19 22:35:00", + "2017-07-19 22:36:00", + "2017-07-19 22:37:00", + "2017-07-19 22:38:00", + "2017-07-19 22:39:00", + "2017-07-19 22:40:00", + "2017-07-19 22:41:00", + "2017-07-19 22:42:00", + "2017-07-19 22:43:00", + "2017-07-19 22:44:00", + "2017-07-19 22:45:00", + "2017-07-19 22:46:00", + "2017-07-19 22:47:00", + "2017-07-19 22:48:00", + "2017-07-19 22:49:00", + "2017-07-19 22:50:00", + "2017-07-19 22:51:00", + "2017-07-19 22:52:00", + "2017-07-19 22:53:00", + "2017-07-19 22:54:00", + "2017-07-19 22:55:00", + "2017-07-19 22:56:00", + "2017-07-19 22:57:00", + "2017-07-19 22:58:00", + "2017-07-19 22:59:00", + "2017-07-19 23:00:00", + "2017-07-19 23:01:00", + "2017-07-19 23:02:00", + "2017-07-19 23:03:00", + "2017-07-19 23:04:00", + "2017-07-19 23:05:00", + "2017-07-19 23:06:00", + "2017-07-19 23:07:00", + "2017-07-19 23:08:00", + "2017-07-19 23:09:00", + "2017-07-19 23:10:00", + "2017-07-19 23:11:00", + "2017-07-19 23:12:00", + "2017-07-19 23:13:00", + "2017-07-19 23:14:00", + "2017-07-19 23:15:00", + "2017-07-19 23:16:00", + "2017-07-19 23:17:00", + "2017-07-19 23:18:00", + "2017-07-19 23:19:00", + "2017-07-19 23:20:00", + "2017-07-19 23:21:00", + "2017-07-19 23:22:00", + "2017-07-19 23:23:00", + "2017-07-19 23:24:00", + "2017-07-19 23:25:00", + "2017-07-19 23:26:00", + "2017-07-19 23:27:00", + "2017-07-19 23:28:00", + "2017-07-19 23:29:00", + "2017-07-19 23:30:00", + "2017-07-19 23:31:00", + "2017-07-19 23:32:00", + "2017-07-19 23:33:00", + "2017-07-19 23:34:00", + "2017-07-19 23:35:00", + "2017-07-19 23:36:00", + "2017-07-19 23:37:00", + "2017-07-19 23:38:00", + "2017-07-19 23:39:00", + "2017-07-19 23:40:00", + "2017-07-19 23:41:00", + "2017-07-19 23:42:00", + "2017-07-19 23:43:00", + "2017-07-19 23:44:00", + "2017-07-19 23:45:00", + "2017-07-19 23:46:00", + "2017-07-19 23:47:00", + "2017-07-19 23:48:00", + "2017-07-19 23:49:00", + "2017-07-19 23:50:00", + "2017-07-19 23:51:00", + "2017-07-19 23:52:00", + "2017-07-19 23:53:00", + "2017-07-19 23:54:00", + "2017-07-19 23:55:00", + "2017-07-19 23:56:00", + "2017-07-19 23:57:00", + "2017-07-19 23:58:00", + "2017-07-19 23:59:00", + "2017-07-20", + "2017-07-20 00:01:00", + "2017-07-20 00:02:00", + "2017-07-20 00:03:00", + "2017-07-20 00:04:00", + "2017-07-20 00:05:00", + "2017-07-20 00:06:00", + "2017-07-20 00:07:00", + "2017-07-20 00:08:00", + "2017-07-20 00:09:00", + "2017-07-20 00:10:00", + "2017-07-20 00:11:00", + "2017-07-20 00:12:00", + "2017-07-20 00:13:00", + "2017-07-20 00:14:00", + "2017-07-20 00:15:00", + "2017-07-20 00:16:00", + "2017-07-20 00:17:00", + "2017-07-20 00:18:00", + "2017-07-20 00:19:00", + "2017-07-20 00:20:00", + "2017-07-20 00:21:00", + "2017-07-20 00:22:00", + "2017-07-20 00:23:00", + "2017-07-20 00:24:00", + "2017-07-20 00:25:00", + "2017-07-20 00:26:00", + "2017-07-20 00:27:00", + "2017-07-20 00:28:00", + "2017-07-20 00:29:00", + "2017-07-20 00:30:00", + "2017-07-20 00:31:00", + "2017-07-20 00:32:00", + "2017-07-20 00:33:00", + "2017-07-20 00:34:00", + "2017-07-20 00:35:00", + "2017-07-20 00:36:00", + "2017-07-20 00:37:00", + "2017-07-20 00:38:00", + "2017-07-20 00:39:00", + "2017-07-20 00:40:00", + "2017-07-20 00:41:00", + "2017-07-20 00:42:00", + "2017-07-20 00:43:00", + "2017-07-20 00:44:00", + "2017-07-20 00:45:00", + "2017-07-20 00:46:00", + "2017-07-20 00:47:00", + "2017-07-20 00:48:00", + "2017-07-20 00:49:00", + "2017-07-20 00:50:00", + "2017-07-20 00:51:00", + "2017-07-20 00:52:00", + "2017-07-20 00:53:00", + "2017-07-20 00:54:00", + "2017-07-20 00:55:00", + "2017-07-20 00:56:00", + "2017-07-20 00:57:00", + "2017-07-20 00:58:00", + "2017-07-20 00:59:00", + "2017-07-20 01:00:00", + "2017-07-20 01:01:00", + "2017-07-20 01:02:00", + "2017-07-20 01:03:00", + "2017-07-20 01:04:00", + "2017-07-20 01:05:00", + "2017-07-20 01:06:00", + "2017-07-20 01:07:00", + "2017-07-20 01:08:00", + "2017-07-20 01:09:00", + "2017-07-20 01:10:00", + "2017-07-20 01:11:00", + "2017-07-20 01:12:00", + "2017-07-20 01:13:00", + "2017-07-20 01:14:00", + "2017-07-20 01:15:00", + "2017-07-20 01:16:00", + "2017-07-20 01:17:00", + "2017-07-20 01:18:00", + "2017-07-20 01:19:00", + "2017-07-20 01:20:00", + "2017-07-20 01:21:00", + "2017-07-20 01:22:00", + "2017-07-20 01:23:00", + "2017-07-20 01:24:00", + "2017-07-20 01:25:00", + "2017-07-20 01:26:00", + "2017-07-20 01:27:00", + "2017-07-20 01:28:00", + "2017-07-20 01:29:00", + "2017-07-20 01:30:00", + "2017-07-20 01:31:00", + "2017-07-20 01:32:00", + "2017-07-20 01:33:00", + "2017-07-20 01:34:00", + "2017-07-20 01:35:00", + "2017-07-20 01:36:00", + "2017-07-20 01:37:00", + "2017-07-20 01:38:00", + "2017-07-20 01:39:00", + "2017-07-20 01:40:00", + "2017-07-20 01:41:00", + "2017-07-20 01:42:00", + "2017-07-20 01:43:00", + "2017-07-20 01:44:00", + "2017-07-20 01:45:00", + "2017-07-20 01:46:00", + "2017-07-20 01:47:00", + "2017-07-20 01:48:00", + "2017-07-20 01:49:00", + "2017-07-20 01:50:00", + "2017-07-20 01:51:00", + "2017-07-20 01:52:00", + "2017-07-20 01:53:00", + "2017-07-20 01:54:00", + "2017-07-20 01:55:00", + "2017-07-20 01:56:00", + "2017-07-20 01:57:00", + "2017-07-20 01:58:00", + "2017-07-20 01:59:00", + "2017-07-20 02:00:00", + "2017-07-20 02:01:00", + "2017-07-20 02:02:00", + "2017-07-20 02:03:00", + "2017-07-20 02:04:00", + "2017-07-20 02:05:00", + "2017-07-20 02:06:00", + "2017-07-20 02:07:00", + "2017-07-20 02:08:00", + "2017-07-20 02:09:00", + "2017-07-20 02:10:00", + "2017-07-20 02:11:00", + "2017-07-20 02:12:00", + "2017-07-20 02:13:00", + "2017-07-20 02:14:00", + "2017-07-20 02:15:00", + "2017-07-20 02:16:00", + "2017-07-20 02:17:00", + "2017-07-20 02:18:00", + "2017-07-20 02:19:00", + "2017-07-20 02:20:00", + "2017-07-20 02:21:00", + "2017-07-20 02:22:00", + "2017-07-20 02:23:00", + "2017-07-20 02:24:00", + "2017-07-20 02:25:00", + "2017-07-20 02:26:00", + "2017-07-20 02:27:00", + "2017-07-20 02:28:00", + "2017-07-20 02:29:00", + "2017-07-20 02:30:00", + "2017-07-20 02:31:00", + "2017-07-20 02:32:00", + "2017-07-20 02:33:00", + "2017-07-20 02:34:00", + "2017-07-20 02:35:00", + "2017-07-20 02:36:00", + "2017-07-20 02:37:00", + "2017-07-20 02:38:00", + "2017-07-20 02:39:00", + "2017-07-20 02:40:00", + "2017-07-20 02:41:00", + "2017-07-20 02:42:00", + "2017-07-20 02:43:00", + "2017-07-20 02:44:00", + "2017-07-20 02:45:00", + "2017-07-20 02:46:00", + "2017-07-20 02:47:00", + "2017-07-20 02:48:00", + "2017-07-20 02:49:00", + "2017-07-20 02:50:00", + "2017-07-20 02:51:00", + "2017-07-20 02:52:00", + "2017-07-20 02:53:00", + "2017-07-20 02:54:00", + "2017-07-20 02:55:00", + "2017-07-20 02:56:00", + "2017-07-20 02:57:00", + "2017-07-20 02:58:00", + "2017-07-20 02:59:00", + "2017-07-20 03:00:00", + "2017-07-20 03:01:00", + "2017-07-20 03:02:00", + "2017-07-20 03:03:00", + "2017-07-20 03:04:00", + "2017-07-20 03:05:00", + "2017-07-20 03:06:00", + "2017-07-20 03:07:00", + "2017-07-20 03:08:00", + "2017-07-20 03:09:00", + "2017-07-20 03:10:00", + "2017-07-20 03:11:00", + "2017-07-20 03:12:00", + "2017-07-20 03:13:00", + "2017-07-20 03:14:00", + "2017-07-20 03:15:00", + "2017-07-20 03:16:00", + "2017-07-20 03:17:00", + "2017-07-20 03:18:00", + "2017-07-20 03:19:00", + "2017-07-20 03:20:00", + "2017-07-20 03:21:00", + "2017-07-20 03:22:00", + "2017-07-20 03:23:00", + "2017-07-20 03:24:00", + "2017-07-20 03:25:00", + "2017-07-20 03:26:00", + "2017-07-20 03:27:00", + "2017-07-20 03:28:00", + "2017-07-20 03:29:00", + "2017-07-20 03:30:00", + "2017-07-20 03:31:00", + "2017-07-20 03:32:00", + "2017-07-20 03:33:00", + "2017-07-20 03:34:00", + "2017-07-20 03:35:00", + "2017-07-20 03:36:00", + "2017-07-20 03:37:00", + "2017-07-20 03:38:00", + "2017-07-20 03:39:00", + "2017-07-20 03:40:00", + "2017-07-20 03:41:00", + "2017-07-20 03:42:00", + "2017-07-20 03:43:00", + "2017-07-20 03:44:00", + "2017-07-20 03:45:00", + "2017-07-20 03:46:00", + "2017-07-20 03:47:00", + "2017-07-20 03:48:00", + "2017-07-20 03:49:00", + "2017-07-20 03:50:00", + "2017-07-20 03:51:00", + "2017-07-20 03:52:00", + "2017-07-20 03:53:00", + "2017-07-20 03:54:00", + "2017-07-20 03:55:00", + "2017-07-20 03:56:00", + "2017-07-20 03:57:00", + "2017-07-20 03:58:00", + "2017-07-20 03:59:00", + "2017-07-20 04:00:00", + "2017-07-20 04:01:00", + "2017-07-20 04:02:00", + "2017-07-20 04:03:00", + "2017-07-20 04:04:00", + "2017-07-20 04:05:00", + "2017-07-20 04:06:00", + "2017-07-20 04:07:00", + "2017-07-20 04:08:00", + "2017-07-20 04:09:00", + "2017-07-20 04:10:00", + "2017-07-20 04:11:00", + "2017-07-20 04:12:00" + ], + "y": [ + 98, + 91, + 91, + 89, + 84, + 132, + 90, + 97, + 98, + 99, + 93, + 93, + 89, + 84, + 76, + 84, + 84, + 79, + 83, + 70, + 67, + 66, + 62, + 60, + 63, + 68, + 65, + 61, + 73, + 76, + 89, + 79, + 86, + 55, + 36, + 52, + 49, + 52, + 42, + 39, + 49, + 52, + 61, + 54, + 48, + 68, + 63, + 56, + 52, + 69, + 58, + 56, + 52, + 73, + 66, + 61, + 60, + 60, + 56, + 62, + 68, + 85, + 90, + 82, + 76, + 75, + 73, + 73, + 75, + 78, + 78, + 290, + 74, + 74, + 71, + 70, + 66, + 66, + 65, + 65, + 64, + 64, + 65, + 65, + 60, + 64, + 70, + 71, + 68, + 64, + 63, + 61, + 64, + 54, + 57, + 67, + 69, + 72, + 76, + 78, + 81, + 83, + 86, + 88, + 92, + 96, + 99, + 95, + 93, + 81, + 79, + 88, + 55, + 76, + 79, + 81, + 85, + 86, + 80, + 75, + 88, + 87, + 89, + 85, + 80, + 88, + 86, + 87, + 86, + 80, + 79, + 82, + 82, + 85, + 86, + 84, + 90, + 92, + 93, + 93, + 91, + 91, + 87, + 85, + 88, + 87, + 85, + 83, + 87, + 84, + 87, + 89, + 89, + 93, + 98, + 100, + 93, + 89, + 92, + 85, + 80, + 72, + 76, + 73, + 75, + 81, + 80, + 79, + 66, + 64, + 61, + 62, + 64, + 68, + 73, + 71, + 71, + 72, + 69, + 70, + 68, + 70, + 68, + 68, + 64, + 70, + 71, + 72, + 66, + 71, + 66, + 63, + 64, + 66, + 71, + 68, + 65, + 67, + 70, + 63, + 76, + 78, + 81, + 82, + 82, + 113, + 81, + 80, + 74, + 73, + 71, + 68, + 71, + 68, + 72, + 75, + 81, + 80, + 85, + 87, + 96, + 97, + 95, + 97, + 95, + 91, + 93, + 95, + 94, + 85, + 83, + 85, + 80, + 82, + 76, + 71, + 67, + 68, + 75, + 77, + 72, + 77, + 81, + 78, + 76, + 69, + 78, + 81, + 82, + 83, + 83, + 78, + 76, + 73, + 76, + 74, + 72, + 74, + 76, + 74, + 70, + 73, + 77, + 81, + 83, + 83, + 82, + 86, + 83, + 92, + 90, + 89, + 92, + 88, + 81, + 80, + 82, + 81, + 81, + 81, + 69, + 55, + 70, + 79, + 66, + 73, + 77, + 73, + 67, + 72, + 75, + 78, + 62, + 96, + 99, + 87, + 90, + 79, + 84, + 88, + 93, + 90, + 82, + 72, + 76, + 75, + 77, + 79, + 80, + 80, + 84, + 89, + 85, + 88, + 85, + 77, + 82, + 82, + 85, + 87, + 92, + 90, + 91, + 89, + 90, + 89, + 91, + 89, + 90, + 89, + 87, + 93, + 95, + 96, + 102, + 90, + 90, + 84, + 87, + 87, + 91, + 92, + 93, + 105, + 103, + 99, + 92, + 94, + 91, + 87, + 87, + 82, + 84, + 88, + 89, + 90, + 93, + 88, + 85, + 82, + 81, + 90, + 85, + 79, + 70, + 65, + 44, + 56, + 71, + 79, + 84, + 85, + 88, + 91, + 95, + 89, + 90, + 239, + 82, + 83, + 78, + 84, + 87, + 81, + 82, + 83, + 83, + 84, + 83, + 87, + 88, + 89, + 85, + 85, + 90, + 91, + 90, + 91, + 90, + 91, + 90, + 88, + 87, + 86, + 87, + 84, + 83, + 80, + 81, + 81, + 82, + 82, + 80, + 79, + 80, + 77, + 76, + 73, + 76, + 74, + 81, + 80, + 80, + 81, + 79, + 80, + 72, + 67, + 66, + 73, + 65, + 62, + 62, + 104, + 109, + 99, + 97, + 66, + 103, + 102, + 77, + 73, + 44, + 84, + 121, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "hoverinfo": "none", + "marker": { + "color": "black", + "size": 4 + }, + "mode": "markers", + "showlegend": false, + "type": "scatter", + "uid": "86e466a8-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-20 04:06:00" + ], + "y": [ + 79 + ] + }, + { + "hoverinfo": "none", + "marker": { + "color": "black", + "size": 4 + }, + "mode": "markers", + "showlegend": false, + "type": "scatter", + "uid": "86e46716-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-20 00:47:00", + "2017-07-20 00:48:00", + "2017-07-20 00:49:00", + "2017-07-20 00:50:00", + "2017-07-20 01:31:00" + ], + "y": [ + 79, + 76, + 76, + 81, + 79 + ] + }, + { + "hoverinfo": "none", + "marker": { + "color": "black", + "size": 4 + }, + "mode": "markers", + "showlegend": false, + "type": "scatter", + "uid": "86e4678e-1ffd-11e9-8f39-2047478cca38", + "x": [ + "2017-07-19 21:53:00", + "2017-07-20 02:59:00" + ], + "y": [ + 290, + 239 + ] + } + ], + "layout": { + "title": "Analyse du patient 346", + "xaxis": { + "rangeslider": { + "visible": true + }, + "type": "date" + }, + "yaxis": { + "title": "Mesures" + } + } + }, + "text/html": [ + "
" + ], + "text/vnd.plotly.v1+html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "_plot_dynamic_features(df_dynamic, id_patient=346, \n", + " features_list=['FC','FR', 'PAPmoy', 'SpO2', 'PASm'],\n", + " ano_detector=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "features_list_clean=['FC','FR', 'PAPmoy', 'SpO2', 'PASm']" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'PAPmoy'" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\"PAPmoy_anomaly\".split(\"_anomaly\")[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### SpO2 : " + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "features_to_analyse = \"SpO2\"\n", + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse)\n", + "plot_ano_on_patient(df_dynamic, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_dynamic.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### PASm :" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "features_to_analyse = \"PASm\"\n", + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "nbpresent": { + "id": "bda30771-4be2-4d8a-807e-d23c130601b2" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
id_patienttimeB.I.SBIS SRDCETCO2FCFRFiO2PAPdiaPAPmoyPAPsysPASdPASmPASsPEEPtotalPNIdPNImPNIsPmaxPmeanSpO2SvO2 (m)TempVTdeclampage_cote1_donedeclampage_cote2_donePASm_anomaly
3112012-01-05 03:31:00NaNNaNNaN0.0610990.00.00.0192.0201.0208.010.00.00.02194NaN0.0000000.000-1
19112012-01-05 06:11:00NaNNaNNaN4.170159716.027.040.00.0216.00.040.00.00.0401598NaN37.099998301.000-1
38212012-01-05 09:22:00NaNNaNNaN4.080146218.025.035.00.0214.00.050.00.00.03213100NaN37.700001424.011-1
38312012-01-05 09:23:00NaNNaNNaN3.383146216.024.032.00.0215.00.020.00.00.02611100NaN37.70000155.011-1
44512012-01-05 10:25:00NaNNaNNaN3.986146219.023.023.00.0179.00.060.00.00.03214100NaN37.500000403.011-1
\n", + "
" + ], + "text/plain": [ + " id_patient time B.I.S BIS SR DC ETCO2 FC FR FiO2 \\\n", + "31 1 2012-01-05 03:31:00 NaN NaN NaN 0.0 61 0 99 \n", + "191 1 2012-01-05 06:11:00 NaN NaN NaN 4.1 70 15 97 \n", + "382 1 2012-01-05 09:22:00 NaN NaN NaN 4.0 80 14 62 \n", + "383 1 2012-01-05 09:23:00 NaN NaN NaN 3.3 83 14 62 \n", + "445 1 2012-01-05 10:25:00 NaN NaN NaN 3.9 86 14 62 \n", + "\n", + " PAPdia PAPmoy PAPsys PASd PASm PASs PEEPtotal PNId PNIm PNIs \\\n", + "31 0.0 0.0 0.0 192.0 201.0 208.0 1 0.0 0.0 0.0 \n", + "191 16.0 27.0 40.0 0.0 216.0 0.0 4 0.0 0.0 0.0 \n", + "382 18.0 25.0 35.0 0.0 214.0 0.0 5 0.0 0.0 0.0 \n", + "383 16.0 24.0 32.0 0.0 215.0 0.0 2 0.0 0.0 0.0 \n", + "445 19.0 23.0 23.0 0.0 179.0 0.0 6 0.0 0.0 0.0 \n", + "\n", + " Pmax Pmean SpO2 SvO2 (m) Temp VT declampage_cote1_done \\\n", + "31 2 1 94 NaN 0.000000 0.0 0 \n", + "191 40 15 98 NaN 37.099998 301.0 0 \n", + "382 32 13 100 NaN 37.700001 424.0 1 \n", + "383 26 11 100 NaN 37.700001 55.0 1 \n", + "445 32 14 100 NaN 37.500000 403.0 1 \n", + "\n", + " declampage_cote2_done PASm_anomaly \n", + "31 0 -1 \n", + "191 0 -1 \n", + "382 1 -1 \n", + "383 1 -1 \n", + "445 1 -1 " + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Toutes les lignes en anomalie pour cette variable\n", + "df_dynamic[df_dynamic.PASm_anomaly==-1].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "#df_dynamic[df_dynamic.PASm_anomaly==-1].groupby('id_patient').count()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "nbpresent": { + "id": "48a51f07-0375-4d15-96cc-46642f8a1190" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_ano_on_patient(df_dynamic, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### PAPmoy : " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "features_to_analyse = \"PAPmoy\"\n", + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse)\n", + "plot_ano_on_patient(df_dynamic, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Par la suite on peut jouer avec la variable `contamination` dans `create_bool_ano_on_feature` pour etre plus ou moins sensible au anomaly.**" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse, contamination=0.03)\n", + "plot_ano_on_patient(test, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Idées et WIP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- Noter l'ensemble des variables qui assez sensibles pour ne pas risquer des perte d'informations\n", + "- Pour ces varibales trouver un seuil de sensibilité `contamination`.\n", + "- Implenter la fonction dans `dataset` ainsi que dictionnaire de configuration dans `config.py`" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:transplant]", + "language": "python", + "name": "conda-env-transplant-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.6" + }, + "nbpresent": { + "slides": { + "ee3a3393-0c0c-49e5-8e96-114531e604ad": { + "id": "ee3a3393-0c0c-49e5-8e96-114531e604ad", + "prev": null, + "regions": {} + } + }, + "themes": {} + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/armand_dectec_ano.ipynb b/notebooks/armand_dectec_ano.ipynb new file mode 100644 index 0000000..481d793 --- /dev/null +++ b/notebooks/armand_dectec_ano.ipynb @@ -0,0 +1,3623 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "nbpresent": { + "id": "df05bc0c-5671-4955-8d0f-6bb5edc62a23" + } + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "from transplant.data.dataset import Dataset\n", + "from transplant.config import *\n", + "from transplant.visualization.graph import plot_dynamic_features\n", + "\n", + "import matplotlib.pyplot as plt\n", + "\n", + "pd.set_option('display.max_columns', None)\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "nbpresent": { + "id": "1d1d6645-caed-408c-9edc-1c2a310bee90" + } + }, + "outputs": [], + "source": [ + "dataset = Dataset()\n", + "dataset.time_offset = 0 \n", + "train, test = dataset.get_dynamic()\n", + "df_dynamic = pd.concat([train, test])\n", + "df_dynamic.reset_index(inplace=True, drop=True) # before PR to fix bad index" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": { + "nbpresent": { + "id": "550a775a-96f0-4497-8e18-2880d94132f6" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "" + ], + "text/vnd.plotly.v1+html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ + { + "name": "PAPmoy", + "type": "scatter", + "uid": "8417c30e-1fe7-11e9-87ec-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + -19, + 0, + 0, + 0, + 31, + 34, + 36, + 17, + 18, + 13, + 11, + 25, + 22, + 22, + 22, + 22, + 19, + 18, + 17, + 14, + 17, + 11, + 89, + 21, + 17, + 14, + 30, + 8, + 46, + 47, + 46, + 46, + 40, + 39, + 39, + 38, + 41, + 39, + 41, + 35, + 36, + 37, + 34, + 34, + 31, + 31, + 31, + 32, + 32, + 31, + 27, + 24, + 25, + 24, + 30, + 19, + 6, + 3, + 17, + 15, + 31, + 31, + 31, + 32, + 32, + 34, + 35, + 34, + 35, + 37, + 33, + 33, + 34, + 36, + 36, + 36, + 31, + 30, + 31, + 31, + 31, + 31, + 31, + 30, + 32, + 33, + 33, + 32, + 34, + 35, + 34, + 31, + 33, + 33, + 30, + 32, + 29, + 32, + 31, + 29, + 29, + 30, + 30, + 23, + 24, + 23, + 23, + 23, + 26, + 25, + 23, + 20, + 22, + 22, + 26, + 22, + 22, + 22, + 29, + 24, + 24, + 24, + 23, + 26, + 26, + 27, + 23, + 16, + 17, + 17, + 17, + 18, + 19, + 20, + 20, + 20, + 25, + 23, + 23, + 23, + 22, + 19, + 27, + 26, + 25, + 25, + 30, + 30, + 30, + 28, + 28, + 30, + 30, + 23, + 24, + 12, + 13, + 15, + 17, + 12, + 13, + 16, + 18, + 21, + 26, + 27, + 30, + 31, + 29, + 29, + 27, + 28, + 26, + 27, + 27, + 27, + 27, + 26, + 26, + 24, + 27, + 26, + 25, + 25, + 26, + 19, + 19, + 18, + 18, + 18, + 18, + 18, + 16, + 18, + 17, + 17, + 18, + 17, + 14, + 17, + 18, + 17, + 16, + 17, + 17, + 19, + 20, + 21, + 23, + 23, + 25, + 26, + 27, + 28, + 28, + 28, + 28, + 26, + 26, + 28, + 29, + 28, + 26, + 25, + 26, + 23, + 25, + 24, + 26, + 27, + 29, + 30, + 30, + 22, + 24, + 23, + 22, + 22, + 23, + 25, + 26, + 27, + 26, + 26, + 26, + 27, + 30, + 32, + 33, + 32, + 32, + 34, + 33, + 36, + 35, + 18, + 22, + 23, + 24, + 17, + 7, + 8, + 10, + 10, + 13, + 15, + 13, + 14, + 12, + 11, + 17, + 17, + 20, + 20, + 22, + 23, + 20, + 21, + 21, + 20, + 20, + 21, + 13, + 15, + 17, + 16, + 15, + 15, + 13, + 11, + 12, + 14, + 12, + 13, + 12, + 13, + 18, + 15, + 18, + 15, + 18, + 15, + 15, + 18, + 18, + 20, + 24, + 21, + 22, + 21, + 22, + 20, + 20, + 20, + 18, + 20, + 20, + 20, + 18, + 19, + 20, + 20, + 17, + 15, + 22, + 20, + 22, + 21, + 20, + 20, + 20, + 20, + 23, + 19, + 20, + 21, + 21, + 21, + 22, + 24, + 22, + 23, + 23, + 23, + 23, + 21, + 20, + 22, + 25, + 20, + 23, + 22, + 20, + 22, + 21, + 18, + 16, + 19, + 20, + 18, + 21, + 18, + 16, + 16, + 16, + 21, + 0, + 16, + 15, + 15, + 15, + 15, + 15, + 15, + 14, + 14, + 14, + 14, + 13, + 15, + 13, + 13, + 13, + 17, + 18, + 18, + 16, + 10, + 10, + 9, + 8, + 10, + 9, + 13, + 13, + 11, + 11, + 11, + 11, + 12, + 12, + 14, + 15, + 17, + 19, + 19, + 19, + 19, + 19, + 19, + 18, + 18, + 20, + 20, + 21, + 20, + 20, + 18, + 20, + 21, + 20, + 19, + 18, + 17, + 20, + 21, + 22, + 22, + 21, + 18, + 19, + 18, + 16, + 16, + 14, + 14, + 14, + 13, + 13, + 13, + 12, + 13, + 12, + 12, + 12, + 11, + 12, + 11, + 11, + 11, + 11, + 10, + 11, + 11, + 11, + 12, + 13, + 12, + 10, + 11, + 10, + 11, + 10, + 10, + 10, + 9, + 8, + 12, + 12, + 11, + 10, + 8, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 8, + 8, + 8, + 8, + 8, + 5, + 10, + 12, + 12, + 12, + 12, + 12, + 12, + 12, + 18, + 13, + 11, + 10, + 10, + 11, + 11, + 12, + 11, + 12, + 12, + 12, + 11, + 12, + 12, + 10, + 12, + 11, + 10, + 11, + 11, + 11, + 10, + 9, + 11, + 14, + 10, + 10, + 10, + 11, + 11, + 10, + 11, + 11, + 11, + 12, + 13, + 12, + 21, + 12, + 12, + 11, + 11, + 11, + 12, + 14, + 13, + 14, + 14, + 15, + 13, + 14, + 13, + 13, + 13, + 12, + 12, + 11, + 11, + 11, + 10, + 10, + 11, + 11, + 11, + 10, + 10, + 11, + 10, + 11, + 11, + 11, + 10, + 10, + 10, + 9, + 10, + 10, + 10, + 10, + 11, + 11, + 10, + 10, + 10, + 11, + 9, + 10, + 9, + 9, + 10, + 11, + 10, + 9, + 10, + 10, + 11, + 10, + 8, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 9, + 8, + 9, + 9, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 9, + 9, + 9, + 10, + 9, + 9, + 9, + 10, + 9, + 10, + 11, + 11, + 12, + 11, + 11, + 11, + 11, + 10, + 10, + 10, + 10, + 9, + 10, + 10, + 10, + 10, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + }, + { + "name": "PASm", + "type": "scatter", + "uid": "8417c43a-1fe7-11e9-87ec-2047478cca38", + "x": [ + "2017-11-26 01:14:00", + "2017-11-26 01:15:00", + "2017-11-26 01:16:00", + "2017-11-26 01:17:00", + "2017-11-26 01:18:00", + "2017-11-26 01:19:00", + "2017-11-26 01:20:00", + "2017-11-26 01:21:00", + "2017-11-26 01:22:00", + "2017-11-26 01:23:00", + "2017-11-26 01:24:00", + "2017-11-26 01:25:00", + "2017-11-26 01:26:00", + "2017-11-26 01:27:00", + "2017-11-26 01:28:00", + "2017-11-26 01:29:00", + "2017-11-26 01:30:00", + "2017-11-26 01:31:00", + "2017-11-26 01:32:00", + "2017-11-26 01:33:00", + "2017-11-26 01:34:00", + "2017-11-26 01:35:00", + "2017-11-26 01:36:00", + "2017-11-26 01:37:00", + "2017-11-26 01:38:00", + "2017-11-26 01:39:00", + "2017-11-26 01:40:00", + "2017-11-26 01:41:00", + "2017-11-26 01:42:00", + "2017-11-26 01:43:00", + "2017-11-26 01:44:00", + "2017-11-26 01:45:00", + "2017-11-26 01:46:00", + "2017-11-26 01:47:00", + "2017-11-26 01:48:00", + "2017-11-26 01:49:00", + "2017-11-26 01:50:00", + "2017-11-26 01:51:00", + "2017-11-26 01:52:00", + "2017-11-26 01:53:00", + "2017-11-26 01:54:00", + "2017-11-26 01:55:00", + "2017-11-26 01:56:00", + "2017-11-26 01:57:00", + "2017-11-26 01:58:00", + "2017-11-26 01:59:00", + "2017-11-26 02:00:00", + "2017-11-26 02:01:00", + "2017-11-26 02:02:00", + "2017-11-26 02:03:00", + "2017-11-26 02:04:00", + "2017-11-26 02:05:00", + "2017-11-26 02:06:00", + "2017-11-26 02:07:00", + "2017-11-26 02:08:00", + "2017-11-26 02:09:00", + "2017-11-26 02:10:00", + "2017-11-26 02:11:00", + "2017-11-26 02:12:00", + "2017-11-26 02:13:00", + "2017-11-26 02:14:00", + "2017-11-26 02:15:00", + "2017-11-26 02:16:00", + "2017-11-26 02:17:00", + "2017-11-26 02:18:00", + "2017-11-26 02:19:00", + "2017-11-26 02:20:00", + "2017-11-26 02:21:00", + "2017-11-26 02:22:00", + "2017-11-26 02:23:00", + "2017-11-26 02:24:00", + "2017-11-26 02:25:00", + "2017-11-26 02:26:00", + "2017-11-26 02:27:00", + "2017-11-26 02:28:00", + "2017-11-26 02:29:00", + "2017-11-26 02:30:00", + "2017-11-26 02:31:00", + "2017-11-26 02:32:00", + "2017-11-26 02:33:00", + "2017-11-26 02:34:00", + "2017-11-26 02:35:00", + "2017-11-26 02:36:00", + "2017-11-26 02:37:00", + "2017-11-26 02:38:00", + "2017-11-26 02:39:00", + "2017-11-26 02:40:00", + "2017-11-26 02:41:00", + "2017-11-26 02:42:00", + "2017-11-26 02:43:00", + "2017-11-26 02:44:00", + "2017-11-26 02:45:00", + "2017-11-26 02:46:00", + "2017-11-26 02:47:00", + "2017-11-26 02:48:00", + "2017-11-26 02:49:00", + "2017-11-26 02:50:00", + "2017-11-26 02:51:00", + "2017-11-26 02:52:00", + "2017-11-26 02:53:00", + "2017-11-26 02:54:00", + "2017-11-26 02:55:00", + "2017-11-26 02:56:00", + "2017-11-26 02:57:00", + "2017-11-26 02:58:00", + "2017-11-26 02:59:00", + "2017-11-26 03:00:00", + "2017-11-26 03:01:00", + "2017-11-26 03:02:00", + "2017-11-26 03:03:00", + "2017-11-26 03:04:00", + "2017-11-26 03:05:00", + "2017-11-26 03:06:00", + "2017-11-26 03:07:00", + "2017-11-26 03:08:00", + "2017-11-26 03:09:00", + "2017-11-26 03:10:00", + "2017-11-26 03:11:00", + "2017-11-26 03:12:00", + "2017-11-26 03:13:00", + "2017-11-26 03:14:00", + "2017-11-26 03:15:00", + "2017-11-26 03:16:00", + "2017-11-26 03:17:00", + "2017-11-26 03:18:00", + "2017-11-26 03:19:00", + "2017-11-26 03:20:00", + "2017-11-26 03:21:00", + "2017-11-26 03:22:00", + "2017-11-26 03:23:00", + "2017-11-26 03:24:00", + "2017-11-26 03:25:00", + "2017-11-26 03:26:00", + "2017-11-26 03:27:00", + "2017-11-26 03:28:00", + "2017-11-26 03:29:00", + "2017-11-26 03:30:00", + "2017-11-26 03:31:00", + "2017-11-26 03:32:00", + "2017-11-26 03:33:00", + "2017-11-26 03:34:00", + "2017-11-26 03:35:00", + "2017-11-26 03:36:00", + "2017-11-26 03:37:00", + "2017-11-26 03:38:00", + "2017-11-26 03:39:00", + "2017-11-26 03:40:00", + "2017-11-26 03:41:00", + "2017-11-26 03:42:00", + "2017-11-26 03:43:00", + "2017-11-26 03:44:00", + "2017-11-26 03:45:00", + "2017-11-26 03:46:00", + "2017-11-26 03:47:00", + "2017-11-26 03:48:00", + "2017-11-26 03:49:00", + "2017-11-26 03:50:00", + "2017-11-26 03:51:00", + "2017-11-26 03:52:00", + "2017-11-26 03:53:00", + "2017-11-26 03:54:00", + "2017-11-26 03:55:00", + "2017-11-26 03:56:00", + "2017-11-26 03:57:00", + "2017-11-26 03:58:00", + "2017-11-26 03:59:00", + "2017-11-26 04:00:00", + "2017-11-26 04:01:00", + "2017-11-26 04:02:00", + "2017-11-26 04:03:00", + "2017-11-26 04:04:00", + "2017-11-26 04:05:00", + "2017-11-26 04:06:00", + "2017-11-26 04:07:00", + "2017-11-26 04:08:00", + "2017-11-26 04:09:00", + "2017-11-26 04:10:00", + "2017-11-26 04:11:00", + "2017-11-26 04:12:00", + "2017-11-26 04:13:00", + "2017-11-26 04:14:00", + "2017-11-26 04:15:00", + "2017-11-26 04:16:00", + "2017-11-26 04:17:00", + "2017-11-26 04:18:00", + "2017-11-26 04:19:00", + "2017-11-26 04:20:00", + "2017-11-26 04:21:00", + "2017-11-26 04:22:00", + "2017-11-26 04:23:00", + "2017-11-26 04:24:00", + "2017-11-26 04:25:00", + "2017-11-26 04:26:00", + "2017-11-26 04:27:00", + "2017-11-26 04:28:00", + "2017-11-26 04:29:00", + "2017-11-26 04:30:00", + "2017-11-26 04:31:00", + "2017-11-26 04:32:00", + "2017-11-26 04:33:00", + "2017-11-26 04:34:00", + "2017-11-26 04:35:00", + "2017-11-26 04:36:00", + "2017-11-26 04:37:00", + "2017-11-26 04:38:00", + "2017-11-26 04:39:00", + "2017-11-26 04:40:00", + "2017-11-26 04:41:00", + "2017-11-26 04:42:00", + "2017-11-26 04:43:00", + "2017-11-26 04:44:00", + "2017-11-26 04:45:00", + "2017-11-26 04:46:00", + "2017-11-26 04:47:00", + "2017-11-26 04:48:00", + "2017-11-26 04:49:00", + "2017-11-26 04:50:00", + "2017-11-26 04:51:00", + "2017-11-26 04:52:00", + "2017-11-26 04:53:00", + "2017-11-26 04:54:00", + "2017-11-26 04:55:00", + "2017-11-26 04:56:00", + "2017-11-26 04:57:00", + "2017-11-26 04:58:00", + "2017-11-26 04:59:00", + "2017-11-26 05:00:00", + "2017-11-26 05:01:00", + "2017-11-26 05:02:00", + "2017-11-26 05:03:00", + "2017-11-26 05:04:00", + "2017-11-26 05:05:00", + "2017-11-26 05:06:00", + "2017-11-26 05:07:00", + "2017-11-26 05:08:00", + "2017-11-26 05:09:00", + "2017-11-26 05:10:00", + "2017-11-26 05:11:00", + "2017-11-26 05:12:00", + "2017-11-26 05:13:00", + "2017-11-26 05:14:00", + "2017-11-26 05:15:00", + "2017-11-26 05:16:00", + "2017-11-26 05:17:00", + "2017-11-26 05:18:00", + "2017-11-26 05:19:00", + "2017-11-26 05:20:00", + "2017-11-26 05:21:00", + "2017-11-26 05:22:00", + "2017-11-26 05:23:00", + "2017-11-26 05:24:00", + "2017-11-26 05:25:00", + "2017-11-26 05:26:00", + "2017-11-26 05:27:00", + "2017-11-26 05:28:00", + "2017-11-26 05:29:00", + "2017-11-26 05:30:00", + "2017-11-26 05:31:00", + "2017-11-26 05:32:00", + "2017-11-26 05:33:00", + "2017-11-26 05:34:00", + "2017-11-26 05:35:00", + "2017-11-26 05:36:00", + "2017-11-26 05:37:00", + "2017-11-26 05:38:00", + "2017-11-26 05:39:00", + "2017-11-26 05:40:00", + "2017-11-26 05:41:00", + "2017-11-26 05:42:00", + "2017-11-26 05:43:00", + "2017-11-26 05:44:00", + "2017-11-26 05:45:00", + "2017-11-26 05:46:00", + "2017-11-26 05:47:00", + "2017-11-26 05:48:00", + "2017-11-26 05:49:00", + "2017-11-26 05:50:00", + "2017-11-26 05:51:00", + "2017-11-26 05:52:00", + "2017-11-26 05:53:00", + "2017-11-26 05:54:00", + "2017-11-26 05:55:00", + "2017-11-26 05:56:00", + "2017-11-26 05:57:00", + "2017-11-26 05:58:00", + "2017-11-26 05:59:00", + "2017-11-26 06:00:00", + "2017-11-26 06:01:00", + "2017-11-26 06:02:00", + "2017-11-26 06:03:00", + "2017-11-26 06:04:00", + "2017-11-26 06:05:00", + "2017-11-26 06:06:00", + "2017-11-26 06:07:00", + "2017-11-26 06:08:00", + "2017-11-26 06:09:00", + "2017-11-26 06:10:00", + "2017-11-26 06:11:00", + "2017-11-26 06:12:00", + "2017-11-26 06:13:00", + "2017-11-26 06:14:00", + "2017-11-26 06:15:00", + "2017-11-26 06:16:00", + "2017-11-26 06:17:00", + "2017-11-26 06:18:00", + "2017-11-26 06:19:00", + "2017-11-26 06:20:00", + "2017-11-26 06:21:00", + "2017-11-26 06:22:00", + "2017-11-26 06:23:00", + "2017-11-26 06:24:00", + "2017-11-26 06:25:00", + "2017-11-26 06:26:00", + "2017-11-26 06:27:00", + "2017-11-26 06:28:00", + "2017-11-26 06:29:00", + "2017-11-26 06:30:00", + "2017-11-26 06:31:00", + "2017-11-26 06:32:00", + "2017-11-26 06:33:00", + "2017-11-26 06:34:00", + "2017-11-26 06:35:00", + "2017-11-26 06:36:00", + "2017-11-26 06:37:00", + "2017-11-26 06:38:00", + "2017-11-26 06:39:00", + "2017-11-26 06:40:00", + "2017-11-26 06:41:00", + "2017-11-26 06:42:00", + "2017-11-26 06:43:00", + "2017-11-26 06:44:00", + "2017-11-26 06:45:00", + "2017-11-26 06:46:00", + "2017-11-26 06:47:00", + "2017-11-26 06:48:00", + "2017-11-26 06:49:00", + "2017-11-26 06:50:00", + "2017-11-26 06:51:00", + "2017-11-26 06:52:00", + "2017-11-26 06:53:00", + "2017-11-26 06:54:00", + "2017-11-26 06:55:00", + "2017-11-26 06:56:00", + "2017-11-26 06:57:00", + "2017-11-26 06:58:00", + "2017-11-26 06:59:00", + "2017-11-26 07:00:00", + "2017-11-26 07:01:00", + "2017-11-26 07:02:00", + "2017-11-26 07:03:00", + "2017-11-26 07:04:00", + "2017-11-26 07:05:00", + "2017-11-26 07:06:00", + "2017-11-26 07:07:00", + "2017-11-26 07:08:00", + "2017-11-26 07:09:00", + "2017-11-26 07:10:00", + "2017-11-26 07:11:00", + "2017-11-26 07:12:00", + "2017-11-26 07:13:00", + "2017-11-26 07:14:00", + "2017-11-26 07:15:00", + "2017-11-26 07:16:00", + "2017-11-26 07:17:00", + "2017-11-26 07:18:00", + "2017-11-26 07:19:00", + "2017-11-26 07:20:00", + "2017-11-26 07:21:00", + "2017-11-26 07:22:00", + "2017-11-26 07:23:00", + "2017-11-26 07:24:00", + "2017-11-26 07:25:00", + "2017-11-26 07:26:00", + "2017-11-26 07:27:00", + "2017-11-26 07:28:00", + "2017-11-26 07:29:00", + "2017-11-26 07:30:00", + "2017-11-26 07:31:00", + "2017-11-26 07:32:00", + "2017-11-26 07:33:00", + "2017-11-26 07:34:00", + "2017-11-26 07:35:00", + "2017-11-26 07:36:00", + "2017-11-26 07:37:00", + "2017-11-26 07:38:00", + "2017-11-26 07:39:00", + "2017-11-26 07:40:00", + "2017-11-26 07:41:00", + "2017-11-26 07:42:00", + "2017-11-26 07:43:00", + "2017-11-26 07:44:00", + "2017-11-26 07:45:00", + "2017-11-26 07:46:00", + "2017-11-26 07:47:00", + "2017-11-26 07:48:00", + "2017-11-26 07:49:00", + "2017-11-26 07:50:00", + "2017-11-26 07:51:00", + "2017-11-26 07:52:00", + "2017-11-26 07:53:00", + "2017-11-26 07:54:00", + "2017-11-26 07:55:00", + "2017-11-26 07:56:00", + "2017-11-26 07:57:00", + "2017-11-26 07:58:00", + "2017-11-26 07:59:00", + "2017-11-26 08:00:00", + "2017-11-26 08:01:00", + "2017-11-26 08:02:00", + "2017-11-26 08:03:00", + "2017-11-26 08:04:00", + "2017-11-26 08:05:00", + "2017-11-26 08:06:00", + "2017-11-26 08:07:00", + "2017-11-26 08:08:00", + "2017-11-26 08:09:00", + "2017-11-26 08:10:00", + "2017-11-26 08:11:00", + "2017-11-26 08:12:00", + "2017-11-26 08:13:00", + "2017-11-26 08:14:00", + "2017-11-26 08:15:00", + "2017-11-26 08:16:00", + "2017-11-26 08:17:00", + "2017-11-26 08:18:00", + "2017-11-26 08:19:00", + "2017-11-26 08:20:00", + "2017-11-26 08:21:00", + "2017-11-26 08:22:00", + "2017-11-26 08:23:00", + "2017-11-26 08:24:00", + "2017-11-26 08:25:00", + "2017-11-26 08:26:00", + "2017-11-26 08:27:00", + "2017-11-26 08:28:00", + "2017-11-26 08:29:00", + "2017-11-26 08:30:00", + "2017-11-26 08:31:00", + "2017-11-26 08:32:00", + "2017-11-26 08:33:00", + "2017-11-26 08:34:00", + "2017-11-26 08:35:00", + "2017-11-26 08:36:00", + "2017-11-26 08:37:00", + "2017-11-26 08:38:00", + "2017-11-26 08:39:00", + "2017-11-26 08:40:00", + "2017-11-26 08:41:00", + "2017-11-26 08:42:00", + "2017-11-26 08:43:00", + "2017-11-26 08:44:00", + "2017-11-26 08:45:00", + "2017-11-26 08:46:00", + "2017-11-26 08:47:00", + "2017-11-26 08:48:00", + "2017-11-26 08:49:00", + "2017-11-26 08:50:00", + "2017-11-26 08:51:00", + "2017-11-26 08:52:00", + "2017-11-26 08:53:00", + "2017-11-26 08:54:00", + "2017-11-26 08:55:00", + "2017-11-26 08:56:00", + "2017-11-26 08:57:00", + "2017-11-26 08:58:00", + "2017-11-26 08:59:00", + "2017-11-26 09:00:00", + "2017-11-26 09:01:00", + "2017-11-26 09:02:00", + "2017-11-26 09:03:00", + "2017-11-26 09:04:00", + "2017-11-26 09:05:00", + "2017-11-26 09:06:00", + "2017-11-26 09:07:00", + "2017-11-26 09:08:00", + "2017-11-26 09:09:00", + "2017-11-26 09:10:00", + "2017-11-26 09:11:00", + "2017-11-26 09:12:00", + "2017-11-26 09:13:00", + "2017-11-26 09:14:00", + "2017-11-26 09:15:00", + "2017-11-26 09:16:00", + "2017-11-26 09:17:00", + "2017-11-26 09:18:00", + "2017-11-26 09:19:00", + "2017-11-26 09:20:00", + "2017-11-26 09:21:00", + "2017-11-26 09:22:00", + "2017-11-26 09:23:00", + "2017-11-26 09:24:00", + "2017-11-26 09:25:00", + "2017-11-26 09:26:00", + "2017-11-26 09:27:00", + "2017-11-26 09:28:00", + "2017-11-26 09:29:00", + "2017-11-26 09:30:00", + "2017-11-26 09:31:00", + "2017-11-26 09:32:00", + "2017-11-26 09:33:00", + "2017-11-26 09:34:00", + "2017-11-26 09:35:00", + "2017-11-26 09:36:00", + "2017-11-26 09:37:00", + "2017-11-26 09:38:00", + "2017-11-26 09:39:00", + "2017-11-26 09:40:00", + "2017-11-26 09:41:00", + "2017-11-26 09:42:00", + "2017-11-26 09:43:00", + "2017-11-26 09:44:00", + "2017-11-26 09:45:00", + "2017-11-26 09:46:00", + "2017-11-26 09:47:00", + "2017-11-26 09:48:00", + "2017-11-26 09:49:00", + "2017-11-26 09:50:00", + "2017-11-26 09:51:00", + "2017-11-26 09:52:00", + "2017-11-26 09:53:00", + "2017-11-26 09:54:00", + "2017-11-26 09:55:00", + "2017-11-26 09:56:00", + "2017-11-26 09:57:00", + "2017-11-26 09:58:00", + "2017-11-26 09:59:00", + "2017-11-26 10:00:00", + "2017-11-26 10:01:00", + "2017-11-26 10:02:00", + "2017-11-26 10:03:00", + "2017-11-26 10:04:00", + "2017-11-26 10:05:00", + "2017-11-26 10:06:00", + "2017-11-26 10:07:00", + "2017-11-26 10:08:00", + "2017-11-26 10:09:00", + "2017-11-26 10:10:00", + "2017-11-26 10:11:00", + "2017-11-26 10:12:00", + "2017-11-26 10:13:00", + "2017-11-26 10:14:00", + "2017-11-26 10:15:00", + "2017-11-26 10:16:00", + "2017-11-26 10:17:00", + "2017-11-26 10:18:00", + "2017-11-26 10:19:00", + "2017-11-26 10:20:00", + "2017-11-26 10:21:00", + "2017-11-26 10:22:00", + "2017-11-26 10:23:00", + "2017-11-26 10:24:00", + "2017-11-26 10:25:00", + "2017-11-26 10:26:00", + "2017-11-26 10:27:00", + "2017-11-26 10:28:00", + "2017-11-26 10:29:00", + "2017-11-26 10:30:00", + "2017-11-26 10:31:00", + "2017-11-26 10:32:00", + "2017-11-26 10:33:00", + "2017-11-26 10:34:00", + "2017-11-26 10:35:00", + "2017-11-26 10:36:00", + "2017-11-26 10:37:00", + "2017-11-26 10:38:00", + "2017-11-26 10:39:00", + "2017-11-26 10:40:00", + "2017-11-26 10:41:00", + "2017-11-26 10:42:00", + "2017-11-26 10:43:00", + "2017-11-26 10:44:00", + "2017-11-26 10:45:00", + "2017-11-26 10:46:00", + "2017-11-26 10:47:00", + "2017-11-26 10:48:00", + "2017-11-26 10:49:00", + "2017-11-26 10:50:00", + "2017-11-26 10:51:00", + "2017-11-26 10:52:00", + "2017-11-26 10:53:00", + "2017-11-26 10:54:00", + "2017-11-26 10:55:00", + "2017-11-26 10:56:00", + "2017-11-26 10:57:00", + "2017-11-26 10:58:00", + "2017-11-26 10:59:00", + "2017-11-26 11:00:00", + "2017-11-26 11:01:00", + "2017-11-26 11:02:00", + "2017-11-26 11:03:00", + "2017-11-26 11:04:00", + "2017-11-26 11:05:00", + "2017-11-26 11:06:00", + "2017-11-26 11:07:00", + "2017-11-26 11:08:00", + "2017-11-26 11:09:00", + "2017-11-26 11:10:00", + "2017-11-26 11:11:00", + "2017-11-26 11:12:00", + "2017-11-26 11:13:00", + "2017-11-26 11:14:00", + "2017-11-26 11:15:00", + "2017-11-26 11:16:00", + "2017-11-26 11:17:00", + "2017-11-26 11:18:00", + "2017-11-26 11:19:00", + "2017-11-26 11:20:00", + "2017-11-26 11:21:00", + "2017-11-26 11:22:00", + "2017-11-26 11:23:00", + "2017-11-26 11:24:00", + "2017-11-26 11:25:00", + "2017-11-26 11:26:00", + "2017-11-26 11:27:00", + "2017-11-26 11:28:00", + "2017-11-26 11:29:00", + "2017-11-26 11:30:00", + "2017-11-26 11:31:00", + "2017-11-26 11:32:00", + "2017-11-26 11:33:00", + "2017-11-26 11:34:00", + "2017-11-26 11:35:00", + "2017-11-26 11:36:00", + "2017-11-26 11:37:00", + "2017-11-26 11:38:00", + "2017-11-26 11:39:00", + "2017-11-26 11:40:00", + "2017-11-26 11:41:00", + "2017-11-26 11:42:00", + "2017-11-26 11:43:00", + "2017-11-26 11:44:00", + "2017-11-26 11:45:00", + "2017-11-26 11:46:00", + "2017-11-26 11:47:00", + "2017-11-26 11:48:00", + "2017-11-26 11:49:00", + "2017-11-26 11:50:00", + "2017-11-26 11:51:00", + "2017-11-26 11:52:00", + "2017-11-26 11:53:00", + "2017-11-26 11:54:00", + "2017-11-26 11:55:00", + "2017-11-26 11:56:00", + "2017-11-26 11:57:00", + "2017-11-26 11:58:00", + "2017-11-26 11:59:00", + "2017-11-26 12:00:00", + "2017-11-26 12:01:00", + "2017-11-26 12:02:00", + "2017-11-26 12:03:00", + "2017-11-26 12:04:00", + "2017-11-26 12:05:00", + "2017-11-26 12:06:00", + "2017-11-26 12:07:00", + "2017-11-26 12:08:00", + "2017-11-26 12:09:00", + "2017-11-26 12:10:00", + "2017-11-26 12:11:00", + "2017-11-26 12:12:00", + "2017-11-26 12:13:00", + "2017-11-26 12:14:00", + "2017-11-26 12:15:00", + "2017-11-26 12:16:00", + "2017-11-26 12:17:00", + "2017-11-26 12:18:00", + "2017-11-26 12:19:00", + "2017-11-26 12:20:00", + "2017-11-26 12:21:00", + "2017-11-26 12:22:00", + "2017-11-26 12:23:00", + "2017-11-26 12:24:00", + "2017-11-26 12:25:00", + "2017-11-26 12:26:00", + "2017-11-26 12:27:00", + "2017-11-26 12:28:00", + "2017-11-26 12:29:00", + "2017-11-26 12:30:00", + "2017-11-26 12:31:00", + "2017-11-26 12:32:00", + "2017-11-26 12:33:00", + "2017-11-26 12:34:00", + "2017-11-26 12:35:00", + "2017-11-26 12:36:00", + "2017-11-26 12:37:00", + "2017-11-26 12:38:00", + "2017-11-26 12:39:00", + "2017-11-26 12:40:00", + "2017-11-26 12:41:00", + "2017-11-26 12:42:00", + "2017-11-26 12:43:00", + "2017-11-26 12:44:00", + "2017-11-26 12:45:00", + "2017-11-26 12:46:00", + "2017-11-26 12:47:00", + "2017-11-26 12:48:00", + "2017-11-26 12:49:00", + "2017-11-26 12:50:00", + "2017-11-26 12:51:00", + "2017-11-26 12:52:00", + "2017-11-26 12:53:00", + "2017-11-26 12:54:00", + "2017-11-26 12:55:00", + "2017-11-26 12:56:00", + "2017-11-26 12:57:00", + "2017-11-26 12:58:00", + "2017-11-26 12:59:00", + "2017-11-26 13:00:00", + "2017-11-26 13:01:00", + "2017-11-26 13:02:00", + "2017-11-26 13:03:00", + "2017-11-26 13:04:00", + "2017-11-26 13:05:00", + "2017-11-26 13:06:00", + "2017-11-26 13:07:00", + "2017-11-26 13:08:00", + "2017-11-26 13:09:00", + "2017-11-26 13:10:00", + "2017-11-26 13:11:00", + "2017-11-26 13:12:00", + "2017-11-26 13:13:00", + "2017-11-26 13:14:00", + "2017-11-26 13:15:00", + "2017-11-26 13:16:00", + "2017-11-26 13:17:00", + "2017-11-26 13:18:00", + "2017-11-26 13:19:00", + "2017-11-26 13:20:00", + "2017-11-26 13:21:00", + "2017-11-26 13:22:00", + "2017-11-26 13:23:00", + "2017-11-26 13:24:00", + "2017-11-26 13:25:00", + "2017-11-26 13:26:00", + "2017-11-26 13:27:00", + "2017-11-26 13:28:00", + "2017-11-26 13:29:00", + "2017-11-26 13:30:00", + "2017-11-26 13:31:00" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + -5, + -6, + -5, + -7, + -9, + -10, + -11, + -13, + -14, + -16, + -19, + -19, + -20, + -20, + -21, + -20, + -20, + -20, + -21, + -20, + -19, + -19, + -19, + -19, + -19, + -19, + -18, + -19, + -20, + -20, + -21, + -20, + -21, + -21, + -22, + -18, + -19, + -18, + -18, + -18, + -18, + -19, + -18, + -18, + -18, + -19, + -19, + -20, + -20, + -20, + -20, + -19, + -19, + -19, + -18, + -18, + -19, + -19, + -20, + -20, + -20, + -19, + -20, + -20, + 0, + 0, + 0, + 0, + 0, + 0, + 98, + 97, + 93, + 90, + 94, + 95, + 90, + 97, + 101, + 111, + 110, + 102, + 98, + 97, + 102, + 103, + 94, + 95, + 93, + 94, + 80, + 92, + 88, + 84, + 89, + 90, + 83, + 85, + 220, + 87, + 93, + 100, + 92, + 93, + 92, + 90, + 92, + 93, + 94, + 94, + 91, + 91, + 94, + 95, + 100, + 94, + 92, + 90, + 89, + 83, + 87, + 87, + 134, + 88, + 85, + 93, + 94, + 95, + 96, + 97, + 96, + 95, + 96, + 100, + 97, + 98, + 100, + 100, + 101, + 98, + 97, + 98, + 98, + 97, + 98, + 98, + 101, + 103, + 109, + 114, + 111, + 119, + 112, + 110, + 111, + 111, + 109, + 108, + 104, + 116, + 117, + 107, + 112, + 113, + 111, + 115, + 109, + 107, + 108, + 114, + 102, + 100, + 109, + 115, + 112, + 106, + 100, + 89, + 87, + 88, + 90, + 97, + 101, + 106, + 113, + 105, + 110, + 100, + 102, + 102, + 103, + 100, + 98, + 93, + 91, + 89, + 89, + 95, + 84, + 84, + 82, + 91, + 99, + 95, + 94, + 102, + 95, + 86, + 84, + 82, + 81, + 91, + 90, + 89, + 91, + 86, + 89, + 85, + 91, + 84, + 82, + 87, + 180, + 174, + 80, + 88, + 99, + 95, + 98, + 132, + 110, + 97, + 95, + 100, + 111, + 111, + 110, + 113, + 132, + 109, + 117, + 105, + 38, + 82, + 78, + 93, + 92, + 92, + 88, + 81, + 77, + 75, + 72, + 60, + 70, + 68, + 71, + 68, + 73, + 70, + 66, + 64, + 71, + 70, + 73, + 68, + 70, + 78, + 78, + 83, + 86, + 87, + 90, + 88, + 89, + 89, + 86, + 91, + 87, + 91, + 90, + 90, + 91, + 90, + 92, + 94, + 86, + 90, + 89, + 86, + 90, + 83, + 81, + 87, + 88, + 90, + 91, + 84, + 89, + 88, + 85, + 88, + 88, + 88, + 88, + 88, + 89, + 88, + 84, + 86, + 87, + 86, + 91, + 99, + 99, + 99, + 100, + 101, + 104, + 76, + 88, + 86, + 86, + 86, + 69, + 78, + 86, + 87, + 86, + 88, + 89, + 83, + 82, + 91, + 100, + 232, + 202, + 106, + 104, + 107, + 138, + 209, + 97, + 88, + 80, + 94, + 98, + 108, + 102, + 97, + 93, + 86, + 87, + 100, + 102, + 101, + 96, + 93, + 98, + 99, + 90, + 108, + 89, + 99, + 96, + 88, + 96, + 97, + 102, + 98, + 93, + 100, + 112, + 118, + 122, + 140, + 143, + 205, + 189, + 108, + 168, + 131, + 101, + 106, + 103, + 108, + 114, + 121, + 111, + 104, + 113, + 110, + 99, + 91, + 89, + 86, + 84, + 81, + 80, + 75, + 79, + 73, + 65, + 69, + 73, + 76, + 76, + 76, + 70, + 72, + 72, + 63, + 59, + 63, + 63, + 66, + 66, + 75, + 77, + 82, + 94, + 74, + 69, + 74, + 67, + 78, + 91, + 85, + 87, + 90, + 93, + 90, + 93, + 95, + 92, + 88, + 90, + 89, + 87, + 87, + 85, + 84, + 81, + 71, + 64, + 73, + 76, + 93, + 84, + 81, + 69, + 60, + 61, + 61, + 65, + 62, + 153, + 153, + 152, + 154, + 86, + 54, + 52, + 55, + 59, + 65, + 71, + 72, + 72, + 74, + 73, + 72, + 71, + 65, + 66, + 63, + 58, + 48, + 39, + 42, + 46, + 50, + 51, + 97, + 138, + 140, + 137, + 126, + 119, + 112, + 109, + 107, + 109, + 111, + 113, + 113, + 112, + 112, + 114, + 112, + 112, + 113, + 114, + 113, + 112, + 111, + 111, + 111, + 111, + 113, + 109, + 111, + 111, + 108, + 109, + 108, + 123, + 122, + 115, + 129, + 132, + 125, + 144, + 144, + 143, + 141, + 130, + 155, + 152, + 94, + 62, + 96, + 98, + 102, + 107, + 97, + 100, + 101, + 102, + 103, + 103, + 104, + 104, + 105, + 80, + 105, + 108, + 110, + 40, + 97, + 103, + 101, + 103, + 104, + 102, + 96, + 94, + 89, + 83, + 87, + 93, + 94, + 92, + 93, + 94, + 91, + 93, + 92, + 93, + 90, + 88, + 88, + 88, + 88, + 87, + 87, + 84, + 85, + 82, + 83, + 83, + 63, + 72, + 89, + 102, + 108, + 111, + 113, + 114, + 113, + 116, + 121, + 121, + 120, + 119, + 117, + 113, + 111, + 107, + 103, + 99, + 97, + 90, + 98, + 0, + 0, + 188, + 109, + 109, + 108, + 108, + 109, + 108, + 109, + 113, + 113, + 112, + 110, + 106, + 103, + 103, + 100, + 96, + 94, + 94, + 93, + 92, + 90, + 87, + 89, + 88, + 85, + 85, + 89, + 85, + 84, + 81, + 81, + 86, + 87, + 83, + 80, + 83, + 67, + 74, + 77, + 80, + 78, + 73, + 74, + 81, + 78, + 78, + 74, + 74, + 63, + 64, + 67, + 65, + 69, + 64, + 67, + 72, + 78, + 82, + 83, + 91, + 93, + 92, + 92, + 92, + 92, + 93, + 98, + 103, + 105, + 107, + 104, + 107, + 109, + 110, + 106, + 110, + 110, + 111, + 112, + 113, + 112, + 113, + 115, + 115, + 116, + 115, + 116, + 115, + 116, + 115, + 115, + 113, + 111, + 112, + 111, + 110, + 110, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "yaxis": "y" + } + ], + "layout": { + "shapes": [ + { + "line": { + "color": "black", + "dash": "dot", + "width": 2 + }, + "type": "line", + "x0": "2017-11-26 06:48:00", + "x1": "2017-11-26 06:48:00", + "y0": 0, + "y1": 232 + }, + { + "line": { + "color": "black", + "dash": "dot", + "width": 2 + }, + "type": "line", + "x0": "2017-11-26 08:52:00", + "x1": "2017-11-26 08:52:00", + "y0": 0, + "y1": 232 + } + ], + "title": "Analyse du patient 369", + "xaxis": { + "rangeslider": { + "visible": true + }, + "type": "date" + }, + "yaxis": { + "title": "Mesures" + } + } + }, + "text/html": [ + "
" + ], + "text/vnd.plotly.v1+html": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_dynamic_features(df_dynamic, id_patient=369, \n", + " features_list=['PAPmoy', 'PASm'],\n", + " display_declampage=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "nbpresent": { + "id": "f1450450-628a-4651-9b7b-f30e3e061fe4" + } + }, + "source": [ + "On peut voir des pics pour les valeurs de `PAPmoy` & `PASm`. \n", + "\n", + "Le problème c'est qu'il est très compliqué et long à détecté de visu / à la main par des seuils ou autres.\n", + "\n", + "Au lieu de vouloir retoucher les données pour les améliorer au risque de toucher à choses bien trop sensible (perte d'information). Pourquoi ne pas donner à l'algo le risque que cette données soient fausses / mauvaises / bizarres. Il fera le boulot pour nous au moins pour certaines variables." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "nbpresent": { + "id": "7f6a0b93-7a8c-4189-8547-c6a51771c395" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "from sklearn.ensemble import IsolationForest\n", + "from sklearn.preprocessing import StandardScaler, FunctionTransformer\n", + "from sklearn.impute import SimpleImputer\n", + "from sklearn.pipeline import Pipeline\n", + "\n", + "rng = np.random.RandomState(42) " + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "nbpresent": { + "id": "528ece08-678a-4ac6-860a-b913af365a39" + } + }, + "outputs": [], + "source": [ + "## FUNCTIONS\n", + "\n", + "def create_bool_ano_on_feature(df_dynamic, features_to_analyse, contamination=0.01):\n", + " \"\"\"\n", + " Create a new feature : features_to_analyse's name with \"_anomaly\"\n", + " This feature is a bool : 1 -> OK / -1 -> KO (anomaly)\n", + " Using :\n", + " - Imputer to fillna NaN Value\n", + " - A scaler \n", + " - IsolationForest to detect anomaly\n", + " Input :\n", + " df_dynamic [DataFrame] : dynamic data\n", + " features_to_analyse [str] : feature's name\n", + " contamination : threeshold of the feature. Less detect less anomaly\n", + " return : \n", + " df_dynamic [DataFrame] with 1 more feature\n", + " \"\"\"\n", + "\n", + " imputer = SimpleImputer(missing_values=np.nan, strategy='median')\n", + " scaler = StandardScaler()\n", + " iso_forest = IsolationForest(behaviour='new', \n", + " random_state=rng,\n", + " contamination=contamination)\n", + " my_transformer = Pipeline([('imp', imputer),\n", + " ('scaler', scaler), \n", + " ('iso', iso_forest)])\n", + "\n", + " my_transformer.fit(df_dynamic[[features_to_analyse]])\n", + "\n", + " feature_name_anomaly = features_to_analyse+\"_anomaly\"\n", + " df_dynamic[feature_name_anomaly] = my_transformer.predict(df_dynamic[[features_to_analyse]]) #[1 / -1]\n", + " return df_dynamic" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_ano_on_patient(df, id_patient=1,\n", + " features_to_analyse=features_to_analyse,\n", + " feature_ano = features_to_analyse+\"_anomaly\"):\n", + " \"\"\"\n", + " \n", + " \"\"\"\n", + " fig, ax = plt.subplots(figsize=(10,6))\n", + "\n", + " temp_df = df[df.id_patient == id_patient]\n", + "\n", + " a = temp_df[temp_df[features_to_analyse+\"_anomaly\"] == -1] #anomaly\n", + " ax.plot(temp_df.index,\n", + " temp_df[features_to_analyse],\n", + " label = features_to_analyse)\n", + " ax.scatter(a.index, a[features_to_analyse],\n", + " color='red', label = 'Anomaly')\n", + " plt.legend()\n", + " plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### PASm :" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "features_to_analyse = \"PASm\"\n", + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "nbpresent": { + "id": "bda30771-4be2-4d8a-807e-d23c130601b2" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
id_patienttimeB.I.SBIS SRDCETCO2FCFRFiO2PAPdiaPAPmoyPAPsysPASdPASmPASsPEEPtotalPNIdPNImPNIsPmaxPmeanSpO2SvO2 (m)TempVTdeclampage_cote1_donedeclampage_cote2_donePASm_anomaly
3112012-01-05 03:31:00NaNNaNNaN0.0610990.00.00.0192.0201.0208.010.00.00.02194NaN0.0000000.000-1
19112012-01-05 06:11:00NaNNaNNaN4.170159716.027.040.00.0216.00.040.00.00.0401598NaN37.099998301.000-1
38212012-01-05 09:22:00NaNNaNNaN4.080146218.025.035.00.0214.00.050.00.00.03213100NaN37.700001424.011-1
38312012-01-05 09:23:00NaNNaNNaN3.383146216.024.032.00.0215.00.020.00.00.02611100NaN37.70000155.011-1
44512012-01-05 10:25:00NaNNaNNaN3.986146219.023.023.00.0179.00.060.00.00.03214100NaN37.500000403.011-1
\n", + "
" + ], + "text/plain": [ + " id_patient time B.I.S BIS SR DC ETCO2 FC FR FiO2 \\\n", + "31 1 2012-01-05 03:31:00 NaN NaN NaN 0.0 61 0 99 \n", + "191 1 2012-01-05 06:11:00 NaN NaN NaN 4.1 70 15 97 \n", + "382 1 2012-01-05 09:22:00 NaN NaN NaN 4.0 80 14 62 \n", + "383 1 2012-01-05 09:23:00 NaN NaN NaN 3.3 83 14 62 \n", + "445 1 2012-01-05 10:25:00 NaN NaN NaN 3.9 86 14 62 \n", + "\n", + " PAPdia PAPmoy PAPsys PASd PASm PASs PEEPtotal PNId PNIm PNIs \\\n", + "31 0.0 0.0 0.0 192.0 201.0 208.0 1 0.0 0.0 0.0 \n", + "191 16.0 27.0 40.0 0.0 216.0 0.0 4 0.0 0.0 0.0 \n", + "382 18.0 25.0 35.0 0.0 214.0 0.0 5 0.0 0.0 0.0 \n", + "383 16.0 24.0 32.0 0.0 215.0 0.0 2 0.0 0.0 0.0 \n", + "445 19.0 23.0 23.0 0.0 179.0 0.0 6 0.0 0.0 0.0 \n", + "\n", + " Pmax Pmean SpO2 SvO2 (m) Temp VT declampage_cote1_done \\\n", + "31 2 1 94 NaN 0.000000 0.0 0 \n", + "191 40 15 98 NaN 37.099998 301.0 0 \n", + "382 32 13 100 NaN 37.700001 424.0 1 \n", + "383 26 11 100 NaN 37.700001 55.0 1 \n", + "445 32 14 100 NaN 37.500000 403.0 1 \n", + "\n", + " declampage_cote2_done PASm_anomaly \n", + "31 0 -1 \n", + "191 0 -1 \n", + "382 1 -1 \n", + "383 1 -1 \n", + "445 1 -1 " + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Toutes les lignes en anomalie pour cette variable\n", + "df_dynamic[df_dynamic.PASm_anomaly==-1].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "#df_dynamic[df_dynamic.PASm_anomaly==-1].groupby('id_patient').count()" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "nbpresent": { + "id": "48a51f07-0375-4d15-96cc-46642f8a1190" + } + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_ano_on_patient(test, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### PAPmoy : " + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "features_to_analyse = \"PAPmoy\"\n", + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse)\n", + "plot_ano_on_patient(test, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Par la suite on peut jouer avec la variable `contamination` dans `create_bool_ano_on_feature` pour etre plus ou moins sensible au anomaly.**" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "df_dynamic = create_bool_ano_on_feature(df_dynamic, features_to_analyse, contamination=0.03)\n", + "plot_ano_on_patient(test, id_patient=369, features_to_analyse=features_to_analyse)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Idées et WIP" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- Noter l'ensemble des variables qui assez sensibles pour ne pas risquer des perte d'informations\n", + "- Pour ces varibales trouver un seuil de sensibilité `contamination`.\n", + "- Implenter la fonction dans `dataset` ainsi que dictionnaire de configuration dans `config.py`" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:transplant]", + "language": "python", + "name": "conda-env-transplant-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.5.6" + }, + "nbpresent": { + "slides": { + "ee3a3393-0c0c-49e5-8e96-114531e604ad": { + "id": "ee3a3393-0c0c-49e5-8e96-114531e604ad", + "prev": null, + "regions": {} + } + }, + "themes": {} + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}