Os NodeSensor Data Access - DataTime filter added!

pltDataNodeV3.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "08/26/16 12:01 AM\n",
      "08/29/16 11:48 AM\n"
     ]
    },
    {
     "data": {
      "image/png": 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Z20+Bx4BvAe8AHwW+S6gRfCgXvuBmVmJmPzCz8wHcvdPdfwc8AzxODsev86/z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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5c0c09b750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5c0c0e57d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#!/usr/bin/env python\n",
    "\n",
    "##################################################################################\n",
    "# Acceder datos nodo\n",
    "# rel. date: 08/16\n",
    "# Dr. Rene Cejas Bolecek\n",
    "# Low Temperatures Laboratory, CAB, Argentina.\n",
    "# email: [email protected]\n",
    "# licence: MIT. http://opensource.org/licenses/MIT \n",
    "##################################################################################\n",
    "from __future__ import print_function\n",
    "from ipywidgets import interact, interactive, fixed\n",
    "from __future__ import print_function\n",
    "import ipywidgets as widgets\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as md\n",
    "from datetime import datetime\n",
    "import json\n",
    "import urllib2\n",
    "%matplotlib inline\n",
    "hostIP = '10.73.21.101'\n",
    "nodeId ='8Nw5Tfx6KK7lBaA'\n",
    "sensorId = ['nivelO2','T','estadoAlarma','VAD590','VOut','Vref']\n",
    "#response = urllib2.urlopen('http://'+hostIP+':9000/listvals?code='+nodeId+'&type='+sensorId[1])\n",
    "#data = json.load(response)\n",
    "#print(data)\n",
    "def plot(sensor,day,month,year):\n",
    "    response = urllib2.urlopen('http://'+hostIP+':9000/listvals?code='+nodeId+'&type='+sensorId[sensor])\n",
    "    data = json.load(response)\n",
    "    timeStamp = []\n",
    "    meas = []\n",
    "    for i in range(len(data)):\n",
    "        timeStamp.append(data[i]['created_at'])\n",
    "        meas.append(data[i]['amount'])\n",
    "    format = '%m/%d/%y %I:%M %p'\n",
    "    my_date = []\n",
    "    for i in range(len(timeStamp)):\n",
    "        my_date.append(datetime.strptime(timeStamp[i], format))\n",
    "\n",
    "\n",
    "    plt.subplots_adjust(bottom=0.2)\n",
    "    plt.xticks( rotation=25 )\n",
    "    ax=plt.gca()\n",
    "    xfmt = md.DateFormatter('%m/%d/%y %I:%M %p')\n",
    "    minDate = str(\"%.2d\"%month)+\"/\"+str(\"%.2d\"%day)+\"/\"+str(\"%.2d\"%year)+\" 12:01 AM\"\n",
    "    print(minDate)\n",
    "    #'1/1/16 00:00 AM' does not match format '%m/%d/%y %I:%M %p'\n",
    "    #8/11/16 12:51 PM\n",
    "    current_time =datetime.strftime(datetime.now(),'%m/%d/%y %I:%M %p')\n",
    "    print( current_time)\n",
    "    xMin = datetime.strptime(minDate, format)\n",
    "    current_time =datetime.strptime(current_time, format)\n",
    "    ax.xaxis.set_major_formatter(xfmt)\n",
    "    fontSize = 10\n",
    "    plt.rc('text', usetex=True)\n",
    "    plt.rc('font', family='serif')\n",
    "\n",
    "    titleStr = 'Datos Sensor O2'\n",
    "    plt.title(titleStr)\n",
    "    ax.set_ylabel(sensorId[sensor],fontsize=fontSize)\n",
    "\n",
    "    ax.set_xlabel(r'Time',fontsize=fontSize)\n",
    "    ax.set_xlim([xMin,current_time])\n",
    "    #ax.set_xlim(xmin=xMin)\n",
    "    plt.plot(my_date,meas,\"-o\", label = \"Criogenicos\")\n",
    "    ax.legend( loc=\"best\", numpoints = 1,fontsize=fontSize)\n",
    "    plt.show()\n",
    "    return ax\n",
    "interact(plot, sensor=widgets.IntSlider(min=0,max=5,step=1,value=1),day=widgets.IntSlider(min=1,max=31,step=1,value=1),month=widgets.IntSlider(min=8,max=12,step=1,value=8),year=fixed(16));\n",
    " #sensor=widgets.IntSlider(min=0,max=5,step=1,value=1)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
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