2.2 - [Data Cleaning] Better intervals and radiation analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams.update({'font.size': 16})\n",
    "from matplotlib import rcParams\n",
    "rcParams.update({'figure.autolayout': True})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base = pd.read_csv(\"clean_base111.csv\", encoding=\"latin-1\")\n",
    "base['YEAR'] = base['YEAR'].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data volumetry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAGbCAYAAAAV5QtwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb884b12b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "volumetry = base.groupby('YEAR').agg({'DAY365': 'count'}).reset_index()\n",
    "\n",
    "fig = plt.figure(figsize=(12, 6))\n",
    "# plt.title(\"Volumetria base original\")\n",
    "N = np.arange(len(volumetry['DAY365']))\n",
    "plt.bar(N,volumetry['DAY365'].values)\n",
    "plt.xticks(N,volumetry['YEAR'],rotation = 45)\n",
    "plt.savefig(\"fig/CEPAGRI_volumetria\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization of inconsistent intervals of climatic variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['COD', 'YEAR', 'DAY365', 'MINUTE2400', 'N_WNDVEL_5M', 'N_WNDVEL_2M',\n",
       "       'N_WNDDIR_DEGREE', 'N_INCRAD_10MSR', 'N_REFRAD_10MSR',\n",
       "       'N_PHTFLOW_10MSR', 'N_NHTFLOW_10MSR', 'N_AIRMTR_PCT10',\n",
       "       'N_AIRTMP_MED10', 'N_GRDTMP_3CM', 'N_GRDTMP_6CM', 'N_GRDTMP_UV',\n",
       "       'N_PRESSION_HPA', 'N_RAIN_SUM10'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb881d9b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb8877b748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,4))\n",
    "plt.title(\"Air temperature distribution\")\n",
    "plt.hist(base['N_AIRTMP_MED10'],bins=200, normed=True)\n",
    "plt.savefig(\"fig/tempdist_pre\")\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(12,4))\n",
    "plt.title(\"Wind direction distribution\")\n",
    "plt.hist(base['N_WNDDIR_DEGREE'],bins=200, normed=True)\n",
    "plt.savefig(\"fig/directiondist_pre\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Better interval to the main variables\n",
    "\n",
    "1°) Temperatura do Ar (°C) - Air temperature\n",
    "\n",
    "2°) Umidade relativa (%) - Air moisture\n",
    "\n",
    "3°) Pressão (hPa) - Pression\n",
    "\n",
    "4°) Direção do vento - Wind direction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Defining functions to check data volumetry and variables intervals\n",
    "\n",
    "#Function to check volumetry\n",
    "def volumetry(data,safra, savefig='none', savefig_check = False):\n",
    "    print(\"The full volumetry is \", data.shape[0])\n",
    "    \n",
    "    base_vol = data.groupby(safra).agg({'COD': 'count'}).reset_index()\n",
    "    \n",
    "    print(\"\\nThe volumetry per month is \", base_vol.COD.mean())\n",
    "    \n",
    "    Anos = base[safra].unique()\n",
    "    Anos.sort()\n",
    "    \n",
    "    if(savefig_check == False):\n",
    "        fig = plt.figure(figsize=(12, 6))\n",
    "        plt.bar(np.arange(len(Anos)), base_vol.COD)\n",
    "        plt.xticks(np.arange(len(Anos)), Anos, rotation = 45)\n",
    "        plt.show()\n",
    "    else:\n",
    "        fig = plt.figure(figsize=(12, 6))\n",
    "        plt.bar(np.arange(len(Anos)), base_vol.COD)\n",
    "        plt.xticks(np.arange(len(Anos)), Anos, rotation = 45)\n",
    "        plt.savefig(savefig)\n",
    "        plt.show()\n",
    "\n",
    "#Function to check variable intervals\n",
    "def info_var(data, var):\n",
    "    \n",
    "    mean_ = data[var].mean()\n",
    "    min_ = data[var].min()\n",
    "    max_ = data[var].max()\n",
    "    std_ = data[var].std()\n",
    "    \n",
    "    print(f\"The variable {var} mean is {mean_} +- {std_} \\nThe min is {min_} and the maxi is {max_}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Air temperature "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['COD', 'YEAR', 'DAY365', 'MINUTE2400', 'N_WNDVEL_5M', 'N_WNDVEL_2M',\n",
       "       'N_WNDDIR_DEGREE', 'N_INCRAD_10MSR', 'N_REFRAD_10MSR',\n",
       "       'N_PHTFLOW_10MSR', 'N_NHTFLOW_10MSR', 'N_AIRMTR_PCT10',\n",
       "       'N_AIRTMP_MED10', 'N_GRDTMP_3CM', 'N_GRDTMP_6CM', 'N_GRDTMP_UV',\n",
       "       'N_PRESSION_HPA', 'N_RAIN_SUM10'], dtype=object)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base.columns.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_v1 = base.loc[(base['N_AIRTMP_MED10'] > -2) & (base['N_AIRTMP_MED10'] < 45), :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_AIRTMP_MED10 mean is 25.507898548597847 +- 230.46244832583338 \n",
      "The min is -6999.0 and the maxi is 182266.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals before\n",
    "info_var(base,'N_AIRTMP_MED10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_AIRTMP_MED10 mean is 21.60293938373301 +- 5.021327680425968 \n",
      "The min is 1.825 and the maxi is 44.99\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals after\n",
    "info_var(base_v1,'N_AIRTMP_MED10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The full volumetry is  1137137\n",
      "\n",
      "The volumetry per month is  51688.0454545\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAGbCAYAAAAV5QtwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb88a5abe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Volumetry\n",
    "volumetry(base_v1, 'YEAR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "866"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Volumetry difference \n",
    "base.shape[0] - base_v1.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Air moisture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_v2 = base_v1.loc[(base_v1['N_AIRMTR_PCT10'] >= 0) & (base_v1['N_AIRMTR_PCT10'] <= 100), :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_AIRMTR_PCT10 mean is 73.27571749138406 +- 25.42284598835739 \n",
      "The min is -237.8 and the maxi is 6836.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals before\n",
    "info_var(base_v1,'N_AIRMTR_PCT10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_AIRMTR_PCT10 mean is 73.22688220820051 +- 18.954035817754235 \n",
      "The min is 5.689 and the maxi is 100.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals after\n",
    "info_var(base_v2,'N_AIRMTR_PCT10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The full volumetry is  1137125\n",
      "\n",
      "The volumetry per month is  51687.5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAGbCAYAAAAV5QtwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb878c8278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "volumetry(base_v2, 'YEAR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Volumetry difference \n",
    "base_v1.shape[0] - base_v2.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Air pression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_v3 = base_v2.loc[(base_v2['N_PRESSION_HPA'] >= 822) & (base_v2['N_PRESSION_HPA'] <= 1030), :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_PRESSION_HPA mean is 946.036281543366 +- 79.46616187656959 \n",
      "The min is -6999.0 and the maxi is 2802.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals before\n",
    "info_var(base_v2,'N_PRESSION_HPA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_PRESSION_HPA mean is 946.8204788555737 +- 6.652040575798611 \n",
      "The min is 822.0 and the maxi is 1028.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals after\n",
    "info_var(base_v3,'N_PRESSION_HPA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The full volumetry is  1136919\n",
      "\n",
      "The volumetry per month is  51678.1363636\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAGbCAYAAAAV5QtwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb883055c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "volumetry(base_v3, 'YEAR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "206"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Volumetry difference \n",
    "base_v2.shape[0] - base_v3.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wind direction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "base_v4 = base_v3.loc[(base_v3['N_WNDDIR_DEGREE'] >= 0) & (base_v3['N_WNDDIR_DEGREE'] <= 360), :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_WNDDIR_DEGREE mean is 261.82344972684956 +- 642.1854252817723 \n",
      "The min is 0.0 and the maxi is 6999.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals before\n",
    "info_var(base_v3,'N_WNDDIR_DEGREE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The variable N_WNDDIR_DEGREE mean is 164.56925714999815 +- 96.70951547886118 \n",
      "The min is 0.0 and the maxi is 360.0\n"
     ]
    }
   ],
   "source": [
    "#Variable intervals after\n",
    "info_var(base_v4,'N_WNDDIR_DEGREE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The full volumetry is  1104301\n",
      "\n",
      "The volumetry per month is  50195.5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAGbCAYAAAAV5QtwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJFWYLEmSJElShcmSJEmSJFX8fwnrXZhdbiNKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb87f796a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "volumetry(base_v4, 'YEAR',savefig='fig/VOLUMETRIA_BETTER_INTERVALS', savefig_check = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32618"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Volumetry difference \n",
    "base_v3.shape[0] - base_v4.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "33702 observations were removed what is 2.96% of the dataset\n"
     ]
    }
   ],
   "source": [
    "#Summary\n",
    "\n",
    "#Observation removed\n",
    "qtde = base.shape[0] - base_v4.shape[0]\n",
    "\n",
    "percent = 100*qtde/base.shape[0]\n",
    "\n",
    "percent = round(percent,2)\n",
    "\n",
    "print(f\"{qtde} observations were removed what is {percent}% of the dataset\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adding control variables of month and week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Defining functions\n",
    "\n",
    "#Function that gets month\n",
    "def get_month(day):\n",
    "    if((day>0) & (day <= 31)):\n",
    "        return 1\n",
    "    elif((day>31) & (day <= 59)):\n",
    "        return 2\n",
    "    elif((day>59) & (day <= 90)):\n",
    "        return 3\n",
    "    elif((day>90) & (day <= 120)):\n",
    "        return 4\n",
    "    elif((day>120) & (day <= 151)):\n",
    "        return 5\n",
    "    elif((day>151) & (day <= 181)):\n",
    "        return 6\n",
    "    elif((day>181) & (day <= 212)):\n",
    "        return 7\n",
    "    elif((day>212) & (day <= 243)):\n",
    "        return 8\n",
    "    elif((day>243) & (day <= 273)):\n",
    "        return 9\n",
    "    elif((day>273) & (day <= 304)):\n",
    "        return 10\n",
    "    elif((day>304) & (day <= 334)):\n",
    "        return 11\n",
    "    else:\n",
    "        return 12\n",
    "    \n",
    "#Function that gets week\n",
    "def get_week(days):\n",
    "    return np.floor(days/7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "base_v4['MONTH'] = base_v4['DAY365'].map(get_month)\n",
    "base_v4['WEEK'] = base_v4['DAY365'].map(get_week)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1  2  3  4  5  6  7  8  9 10 11 12]\n",
      "12\n"
     ]
    }
   ],
   "source": [
    "print(base_v4.MONTH.unique())\n",
    "print(base_v4.MONTH.nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  0.   1.   2.   3.   4.   5.   6.   7.   8.   9.  10.  11.  12.  13.  14.\n",
      "  15.  16.  17.  18.  19.  20.  21.  22.  23.  24.  25.  26.  27.  28.  29.\n",
      "  30.  31.  32.  33.  34.  35.  36.  37.  38.  39.  40.  41.  42.  43.  44.\n",
      "  45.  46.  47.  48.  49.  50.  51.  52.]\n",
      "53\n"
     ]
    }
   ],
   "source": [
    "print(base_v4.WEEK.unique())\n",
    "print(base_v4.WEEK.nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Exporting dataset\n",
    "\n",
    "base_v4.to_csv(\"clean_base111_v2.csv\", index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(56463,)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_v4 = pd.read_csv(\"clean_base111_v2.csv\")\n",
    "\n",
    "base_v4.N_REFRAD_10MSR[base_v4.N_REFRAD_10MSR > 1500].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1104301, 20)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_v4.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05060950769327191"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "56525/1116885"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(52185,)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_v4.N_REFRAD_10MSR[(base_v4.N_REFRAD_10MSR > 1500)&(base_v4.MINUTE2400 > 600)&(base_v4.MINUTE2400 < 1800)].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.924281291463954"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "52245/56525"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSZKkDgZLkiRJktTh/wNBGujgGai7MgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb89635550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkjr8/y7WtxDZ5vQGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb890389b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,4))\n",
    "plt.title(\"Air temperature distribution\")\n",
    "plt.hist(base_v4['N_AIRTMP_MED10'],bins=200, normed=True)\n",
    "plt.savefig(\"fig/tempdist_pos\")\n",
    "plt.show()\n",
    "\n",
    "plt.figure(figsize=(12,4))\n",
    "plt.title(\"Wind direction distribution\")\n",
    "plt.hist(base_v4['N_WNDDIR_DEGREE'],bins=200, normed=True)\n",
    "plt.savefig(\"fig/directiondist_pos\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Radiation analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['COD', 'YEAR', 'DAY365', 'MINUTE2400', 'N_WNDVEL_5M', 'N_WNDVEL_2M',\n",
       "       'N_WNDDIR_DEGREE', 'N_INCRAD_10MSR', 'N_REFRAD_10MSR',\n",
       "       'N_PHTFLOW_10MSR', 'N_NHTFLOW_10MSR', 'N_AIRMTR_PCT10',\n",
       "       'N_AIRTMP_MED10', 'N_GRDTMP_3CM', 'N_GRDTMP_6CM', 'N_GRDTMP_UV',\n",
       "       'N_PRESSION_HPA', 'N_RAIN_SUM10', 'MONTH', 'WEEK'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base_v4.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb891be9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year = 2015\n",
    "\n",
    "fig = plt.figure(figsize=(12, 4))\n",
    "plt.scatter(base_v4[(base_v4.YEAR == year)]['DAY365'],base_v4[(base_v4.YEAR == year)]['N_INCRAD_10MSR'], alpha= 0.5)\n",
    "\n",
    "\n",
    "plt.ylabel('Radiation')\n",
    "plt.xlabel('Day')\n",
    "plt.savefig(\"fig/radiacao_ano_2015\", dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKaWUUkpVoMmSUkoppZRSSlXw/wE0Ytfcaw0kogAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fb88ab5b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year = 2015\n",
    "dia = 100\n",
    "\n",
    "fig = plt.figure(figsize=(12, 4))\n",
    "plt.scatter(base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['MINUTE2400'],base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['N_INCRAD_10MSR'], alpha= 0.5)\n",
    "\n",
    "year = 2015\n",
    "dia = 50\n",
    "plt.scatter(base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['MINUTE2400'],base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['N_INCRAD_10MSR'], alpha= 0.5)\n",
    "\n",
    "year = 2015\n",
    "dia = 150\n",
    "plt.scatter(base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['MINUTE2400'],base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['N_INCRAD_10MSR'], alpha= 0.5)\n",
    "\n",
    "year = 2015\n",
    "dia = 300\n",
    "plt.scatter(base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['MINUTE2400'],base_v4[(base_v4.YEAR == year)&(base_v4['DAY365'] == dia)]['N_INCRAD_10MSR'], alpha= 0.5)\n",
    "\n",
    "\n",
    "plt.ylabel('Radiation')\n",
    "plt.xlabel('Hour')\n",
    "plt.savefig(\"fig/radiacao_hora_dia\", dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\users\\hideki\\appdata\\local\\programs\\python\\python36\\lib\\site-packages\\matplotlib\\figure.py:1743: UserWarning: This figure includes Axes that are not compatible with tight_layout, so its results might be incorrect.\n",
      "  warnings.warn(\"This figure includes Axes that are not \"\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0sAAAELCAYAAAAIgx0zAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nlGpAgyWllFJKKaWUauD/B9g1DUUjUMIkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1fba0f02c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year = 2012\n",
    "mon = 2\n",
    "\n",
    "fig = plt.figure(figsize=(12, 4))\n",
    "plt.scatter(base_v4[(base_v4.YEAR == year)]['MINUTE2400'],base_v4[(base_v4.YEAR == year)]['N_INCRAD_10MSR'], alpha= 0.5)\n",
    "# plt.scatter(base[(base.Ano == year) ][main_vars[3]], base[(base.Ano == year)]['Direção do Vento no instante da aquisição (°)'], alpha= 0.5)\n",
    "\n",
    "plt.ylabel('Radiation')\n",
    "plt.xlabel('Hour')\n",
    "plt.savefig(\"fig/radiacao_2012_horaminuto\", dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "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": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}