rca_plot_time_series.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from datetime import datetime\n",
    "import matplotlib.ticker as ticker"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        DATE     TIME     RCA_H     RCA_V\n",
      "0 2018-11-08  00-00 Z  0.000000  0.000000\n",
      "1 2018-10-18  12-00 Z -1.754422 -0.739619\n",
      "2 2018-10-19  00-12 Z -1.627172 -1.481698\n",
      "3 2018-10-19  12-00 Z -1.911230 -1.601718\n",
      "4 2018-10-20  00-12 Z -1.700582 -2.306426\n",
      "5 2018-10-20  12-00 Z -2.287132 -2.231429\n",
      "        DATE     TIME     RCA_H     RCA_V\n",
      "1 2018-10-18  12-00 Z -1.754422 -0.739619\n",
      "2 2018-10-19  00-12 Z -1.627172 -1.481698\n",
      "3 2018-10-19  12-00 Z -1.911230 -1.601718\n",
      "4 2018-10-20  00-12 Z -1.700582 -2.306426\n",
      "5 2018-10-20  12-00 Z -2.287132 -2.231429\n",
      "0 2018-11-08  00-00 Z  0.000000  0.000000\n"
     ]
    }
   ],
   "source": [
    "dat = pd.read_csv('/home/hunzinger/projects/taranis/taranis/calibration/rca_twicedaily_values.csv',\n",
    "                 usecols=['DATE','TIME','RCA_H','RCA_V'],\n",
    "                 parse_dates=['DATE']\n",
    "                 )\n",
    "print(dat)\n",
    "dat = dat.sort_values(by='DATE')\n",
    "print(dat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    DATE     RCA_H     RCA_V  BASELINE\n",
      "0   2018-10-20T00:00:04Z -1.552327 -1.729999         0\n",
      "1   2018-10-20T00:15:03Z -1.566206 -1.964307         0\n",
      "2   2018-10-20T00:30:03Z -1.467540 -1.959917         0\n",
      "3   2018-10-20T00:45:03Z -1.682471 -2.237834         0\n",
      "4   2018-10-20T01:00:03Z -1.369320 -2.084544         0\n",
      "5   2018-10-20T01:15:03Z -1.263538 -1.922174         0\n",
      "6   2018-10-20T01:30:04Z -1.343497 -1.998920         0\n",
      "7   2018-10-20T01:45:03Z -1.269071 -1.781975         0\n",
      "8   2018-10-20T02:00:04Z -1.384427 -2.605659         0\n",
      "9   2018-10-20T02:15:03Z -1.485723 -2.842692         0\n",
      "10  2018-10-20T02:30:04Z -1.396650 -2.503014         0\n",
      "11  2018-10-20T02:45:03Z -1.528209 -2.667277         0\n",
      "12  2018-10-20T03:00:03Z -1.564264 -2.834783         0\n",
      "13  2018-10-20T03:15:03Z -1.544158 -2.567284         0\n",
      "14  2018-10-20T03:30:03Z -1.350304 -1.948943         0\n",
      "15  2018-10-20T03:45:03Z -1.729161 -2.080347         0\n",
      "16  2018-10-20T04:00:03Z -1.636009 -1.763981         0\n",
      "17  2018-10-20T04:15:04Z -1.666077 -1.916997         0\n",
      "18  2018-10-20T04:30:04Z -1.779574 -2.423039         0\n",
      "19  2018-10-20T04:45:04Z -1.789566 -2.591746         0\n",
      "20  2018-10-20T05:00:04Z -1.807684 -2.557893         0\n",
      "21  2018-10-20T05:15:04Z -1.496047 -2.587594         0\n",
      "22  2018-10-20T05:30:04Z -1.755474 -2.366137         0\n",
      "23  2018-10-20T05:45:04Z -1.561887 -2.254685         0\n",
      "24  2018-10-20T06:00:04Z -1.839568 -2.024017         0\n",
      "25  2018-10-20T06:15:04Z -1.449990 -1.814677         0\n",
      "26  2018-10-20T06:30:04Z -1.466440 -2.542760         0\n",
      "27  2018-10-20T06:45:04Z -1.799306 -2.333498         0\n",
      "28  2018-10-20T07:00:04Z -1.444276 -2.323103         0\n",
      "29  2018-10-20T07:15:04Z -1.857598 -2.367643         0\n",
      "30  2018-10-20T07:30:04Z -1.306512 -2.242396         0\n",
      "31  2018-10-20T07:45:04Z -1.553330 -2.148803         0\n",
      "32  2018-10-19T18:00:04Z -2.165229 -1.529823         0\n",
      "33  2018-10-19T18:15:04Z -1.986833 -1.105340         0\n",
      "34  2018-10-19T18:30:04Z -1.683653 -1.627313         0\n",
      "35  2018-10-19T18:45:04Z -1.700283 -0.342744         0\n",
      "36  2018-10-19T19:00:04Z -1.692711 -1.271600         0\n",
      "37  2018-10-19T19:15:04Z -1.872951 -0.604148         0\n",
      "38  2018-10-19T19:30:04Z -1.929390 -1.191104         0\n",
      "39  2018-10-19T19:45:04Z -2.027017 -0.399100         0\n",
      "40  2018-10-19T20:00:04Z -1.508553 -1.159648         0\n",
      "41  2018-10-19T20:15:04Z -1.743771 -1.128786         0\n",
      "42  2018-10-19T20:30:04Z -1.911530 -1.129416         0\n",
      "43  2018-10-19T20:45:04Z -1.525085 -1.182480         0\n",
      "44  2018-10-19T21:00:04Z -1.649777 -1.316785         0\n",
      "45  2018-10-19T21:15:04Z -1.648510 -0.824850         0\n",
      "46  2018-10-19T21:30:04Z -1.598524 -1.182577         0\n",
      "47  2018-10-19T21:45:04Z -1.707955 -1.132898         0\n",
      "48  2018-10-19T22:00:04Z -1.624631 -0.975556         0\n",
      "49  2018-10-19T22:15:04Z -1.877329 -1.211904         0\n",
      "50  2018-10-19T22:30:04Z -1.665237 -0.919970         0\n",
      "51  2018-10-19T22:45:03Z -1.698977 -1.397472         0\n",
      "52  2018-10-19T23:00:04Z -1.804557 -1.679790         0\n",
      "53  2018-10-19T23:15:04Z -2.073975 -1.801279         0\n",
      "54  2018-10-19T23:30:03Z -1.867089 -1.666825         0\n",
      "55  2018-10-19T23:45:04Z -1.687710 -1.787524         0\n",
      "                    DATE     RCA_H     RCA_V  BASELINE\n",
      "32  2018-10-19T18:00:04Z -2.165229 -1.529823         0\n",
      "33  2018-10-19T18:15:04Z -1.986833 -1.105340         0\n",
      "34  2018-10-19T18:30:04Z -1.683653 -1.627313         0\n",
      "35  2018-10-19T18:45:04Z -1.700283 -0.342744         0\n",
      "36  2018-10-19T19:00:04Z -1.692711 -1.271600         0\n",
      "37  2018-10-19T19:15:04Z -1.872951 -0.604148         0\n",
      "38  2018-10-19T19:30:04Z -1.929390 -1.191104         0\n",
      "39  2018-10-19T19:45:04Z -2.027017 -0.399100         0\n",
      "40  2018-10-19T20:00:04Z -1.508553 -1.159648         0\n",
      "41  2018-10-19T20:15:04Z -1.743771 -1.128786         0\n",
      "42  2018-10-19T20:30:04Z -1.911530 -1.129416         0\n",
      "43  2018-10-19T20:45:04Z -1.525085 -1.182480         0\n",
      "44  2018-10-19T21:00:04Z -1.649777 -1.316785         0\n",
      "45  2018-10-19T21:15:04Z -1.648510 -0.824850         0\n",
      "46  2018-10-19T21:30:04Z -1.598524 -1.182577         0\n",
      "47  2018-10-19T21:45:04Z -1.707955 -1.132898         0\n",
      "48  2018-10-19T22:00:04Z -1.624631 -0.975556         0\n",
      "49  2018-10-19T22:15:04Z -1.877329 -1.211904         0\n",
      "50  2018-10-19T22:30:04Z -1.665237 -0.919970         0\n",
      "51  2018-10-19T22:45:03Z -1.698977 -1.397472         0\n",
      "52  2018-10-19T23:00:04Z -1.804557 -1.679790         0\n",
      "53  2018-10-19T23:15:04Z -2.073975 -1.801279         0\n",
      "54  2018-10-19T23:30:03Z -1.867089 -1.666825         0\n",
      "55  2018-10-19T23:45:04Z -1.687710 -1.787524         0\n",
      "0   2018-10-20T00:00:04Z -1.552327 -1.729999         0\n",
      "1   2018-10-20T00:15:03Z -1.566206 -1.964307         0\n",
      "2   2018-10-20T00:30:03Z -1.467540 -1.959917         0\n",
      "3   2018-10-20T00:45:03Z -1.682471 -2.237834         0\n",
      "4   2018-10-20T01:00:03Z -1.369320 -2.084544         0\n",
      "5   2018-10-20T01:15:03Z -1.263538 -1.922174         0\n",
      "6   2018-10-20T01:30:04Z -1.343497 -1.998920         0\n",
      "7   2018-10-20T01:45:03Z -1.269071 -1.781975         0\n",
      "8   2018-10-20T02:00:04Z -1.384427 -2.605659         0\n",
      "9   2018-10-20T02:15:03Z -1.485723 -2.842692         0\n",
      "10  2018-10-20T02:30:04Z -1.396650 -2.503014         0\n",
      "11  2018-10-20T02:45:03Z -1.528209 -2.667277         0\n",
      "12  2018-10-20T03:00:03Z -1.564264 -2.834783         0\n",
      "13  2018-10-20T03:15:03Z -1.544158 -2.567284         0\n",
      "14  2018-10-20T03:30:03Z -1.350304 -1.948943         0\n",
      "15  2018-10-20T03:45:03Z -1.729161 -2.080347         0\n",
      "16  2018-10-20T04:00:03Z -1.636009 -1.763981         0\n",
      "17  2018-10-20T04:15:04Z -1.666077 -1.916997         0\n",
      "18  2018-10-20T04:30:04Z -1.779574 -2.423039         0\n",
      "19  2018-10-20T04:45:04Z -1.789566 -2.591746         0\n",
      "20  2018-10-20T05:00:04Z -1.807684 -2.557893         0\n",
      "21  2018-10-20T05:15:04Z -1.496047 -2.587594         0\n",
      "22  2018-10-20T05:30:04Z -1.755474 -2.366137         0\n",
      "23  2018-10-20T05:45:04Z -1.561887 -2.254685         0\n",
      "24  2018-10-20T06:00:04Z -1.839568 -2.024017         0\n",
      "25  2018-10-20T06:15:04Z -1.449990 -1.814677         0\n",
      "26  2018-10-20T06:30:04Z -1.466440 -2.542760         0\n",
      "27  2018-10-20T06:45:04Z -1.799306 -2.333498         0\n",
      "28  2018-10-20T07:00:04Z -1.444276 -2.323103         0\n",
      "29  2018-10-20T07:15:04Z -1.857598 -2.367643         0\n",
      "30  2018-10-20T07:30:04Z -1.306512 -2.242396         0\n",
      "31  2018-10-20T07:45:04Z -1.553330 -2.148803         0\n"
     ]
    }
   ],
   "source": [
    "#headers = ['DATE','RCA_H','RCA_V']\n",
    "df = pd.read_csv('/home/hunzinger/projects/taranis/taranis/calibration/rca_test_values.csv')#,\n",
    "                #names=headers)\n",
    "print(df)\n",
    "df = df.sort_values(by='DATE')\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "'2018-10-20T00:00:04Z'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.Int64HashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: an integer is required",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-126-5d5deecad405>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;31m#print(df[\"DATETIME\"])\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mrow\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"DATE\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m     \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"DATE\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m     \u001b[0mdf\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"DATE\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreplace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"2018-10-20T\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    765\u001b[0m         \u001b[0mkey\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcom\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_apply_if_callable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    766\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 767\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    768\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    769\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_value\u001b[0;34m(self, series, key)\u001b[0m\n\u001b[1;32m   3116\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3117\u001b[0m             return self._engine.get_value(s, k,\n\u001b[0;32m-> 3118\u001b[0;31m                                           tz=getattr(series.dtype, 'tz', None))\n\u001b[0m\u001b[1;32m   3119\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3120\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minferred_type\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m'integer'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'boolean'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_value\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: '2018-10-20T00:00:04Z'"
     ]
    }
   ],
   "source": [
    "#df['DATE'] = df['DATE'].map(lambda x: datetime.strptime(str(x), '%Y-%m-%d'))\n",
    "#x = df['DATE']\n",
    "#y = df['RCA_H']\n",
    "\n",
    "#df[\"DATETIME\"] = df[\"DATE\"].map(str) + \" \" + df[\"TIME\"]\n",
    "#dataframe[\"period\"] = dataframe[\"Year\"].map(str) + dataframe[\"quarter\"]\n",
    "\n",
    "#print(df[\"DATETIME\"])\n",
    "for row in df[\"DATE\"]:\n",
    "    df[\"DATE\"][row].map(str)\n",
    "    print(row)\n",
    "    df[\"DATE\"][row].replace(\"2018-10-20T\", \"\")\n",
    "#df[\"DATE\"] = df[\"DATE\"].map(str).replace(\"2018-10-20T\", \"\")\n",
    "print\n",
    "print(df[\"DATE\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y)\n",
    "plt.gcf().autofmt_xdate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.set()\n",
    "ylim=-3,3\n",
    "fig, ax = plt.subplots(figsize=[8,4])\n",
    "ax.axhline(0.,linestyle='--',color='grey')\n",
    "ax.scatter(df['DATE'],df['RCA_H'],\n",
    "               color='k',\n",
    "               linewidth=0.5)\n",
    "ax.plot(df['DATE'],df['RCA_H'],\n",
    "               color='k',\n",
    "               linewidth=0.5)\n",
    "ax.set_ylabel('RCA value')\n",
    "ax.set_title('Daily RCA values (H) during CACTI')\n",
    "ax.set_ylim(ylim)\n",
    "ax.scatter('2018-11-08',0.0,marker='D',linewidth=1,color='b')\n",
    "plt.gcf().autofmt_xdate()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=[8,4])\n",
    "ax.axhline(0.,linestyle='--',color='grey')\n",
    "ax.scatter(df['DATE'],df['RCA_V'],\n",
    "               color='k',\n",
    "               linewidth=0.5)\n",
    "ax.plot(df['DATE'],df['RCA_V'],\n",
    "               color='k',\n",
    "               linewidth=0.5)\n",
    "ax.set_ylabel('RCA value')\n",
    "ax.set_title('Daily RCA values (V) during CACTI')\n",
    "ax.set_ylim(ylim)\n",
    "ax.scatter('2018-11-08',0.0,marker='D',linewidth=1,color='b')\n",
    "plt.gcf().autofmt_xdate()\n",
    "\n",
    "fig, ax = plt.subplots(figsize=[8,4])\n",
    "ax.axhline(0.,linestyle='--',color='grey')\n",
    "ax.scatter(df['DATE'],df['RCA_H'],\n",
    "            color='k',\n",
    "            linewidth=0.5,\n",
    "            label='H')\n",
    "ax.plot(df['DATE'],df['RCA_H'],\n",
    "            color='k',\n",
    "            linewidth=0.5,\n",
    "            label='')\n",
    "ax.scatter(df['DATE'],df['RCA_V'],\n",
    "            color='slategrey',\n",
    "            linewidth=0.5,\n",
    "            label='V')\n",
    "ax.plot(df['DATE'],df['RCA_V'],\n",
    "            color='slategrey',\n",
    "            linewidth=0.5,\n",
    "            label='')\n",
    "\n",
    "#x = [0,5,9,10,15]\n",
    "#y = [0,1,2,3,4]\n",
    "\n",
    "tick_spacing = 8\n",
    "\n",
    "#fig, ax = plt.subplots(1,1)\n",
    "#ax.plot(x,y)\n",
    "ax.xaxis.set_major_locator(ticker.MultipleLocator(tick_spacing))\n",
    "#plt.show()\n",
    "ax.legend()\n",
    "ax.set_ylabel('RCA value')\n",
    "ax.set_title('RCA values 2018-10-19/20')\n",
    "ax.set_ylim(-3,0.5)\n",
    "#ax.scatter('2018-11-08T00:00:00Z',0.0,marker='D',linewidth=1,color='b')\n",
    "plt.gcf().autofmt_xdate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'RCA')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "h = df.plot('DATE','RCA_H',\n",
    "        kind='line',\n",
    "        figsize=[8,4],\n",
    "        legend=False,\n",
    "        title='Daily RCA values (H polarization)',\n",
    "        ylim = (-4,4)\n",
    "        )\n",
    "h.set_ylabel('RCA')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-10-27 00:00:00 2018-11-08 00:00:00\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'RCA')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "xmin = min(dat['DATE'])\n",
    "xmax = max(dat['DATE'])\n",
    "print(xmin, xmax)\n",
    "\n",
    "h = dat.plot('DATE','RCA_H',\n",
    "        kind='line',\n",
    "        figsize=[8,4],\n",
    "        legend=False,\n",
    "        title='Daily RCA values (H polarization)',\n",
    "        ylim = (-4,4)\n",
    "        )\n",
    "h.set_ylabel('RCA')\n",
    "#h.set_xlim([xmin,xmax])\n",
    "#h.set_xticks(dat['DATE'])\n",
    "#xlabels = getLabels(xmin,xmax)\n",
    "\n",
    "#xt = h.get_xticks()\n",
    "#h.set_xticklabels(dat['DATE'])\n",
    "v = dat.plot('DATE','RCA_V',\n",
    "        kind='line',\n",
    "        figsize=[8,4],\n",
    "        legend=False,\n",
    "        title='Daily RCA values (V polarization)',\n",
    "        ylim=(-4,4)\n",
    "        )\n",
    "v.set_ylabel('RCA')\n",
    "#v.xaxis.set_ticks(np.arange(min_x, max_x, int((max_x-min_x)/len(labels))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}