Arduino DAQ.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Librerías usadas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import serial\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import sys\n",
    "import re\n",
    "import cv2\n",
    "from scipy.optimize import curve_fit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$\n",
    "w(n)=\\left\\lbrace\\begin{array}{ll}\n",
    "\\begin{array}{c}\n",
    "0.42-0.5\\cos\\left(\\dfrac{2\\pi n}{M-1}\\right) \\\\ \n",
    "+0.08\\cos\\left(\\dfrac{4\\pi n}{M-1}\\right)\n",
    "\\end{array}, & 0\\leq n \\leq M-1 \\\\\n",
    "0, & \\operatorname{otros}\n",
    "\\end{array}\\right.\n",
    "$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adquicisión de datos"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Puetro serial"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adquicisión de datos simple, para una sola muestra, donde se realiza una lectura y luego se cierra el puerto serial, presentado el valor leído."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "b'EL VARLOR ES: 1  voltaje es:  0.02\\r\\n'\n"
     ]
    }
   ],
   "source": [
    "arduino = serial.Serial('COM3', 9600)\n",
    "time.sleep(2)\n",
    "rawString = arduino.readline()\n",
    "print(rawString)\n",
    "arduino.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### N - muestras\n",
    "Adquiere datos para un número $n$ determinado de muestras obtenidas con un tiempo de muestreo $t_s$ expresado en segundos."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['0,0,0.00,-0.11\\r\\n', '0,0,0.00,-0.19\\r\\n', '28,65,0.00,-0.11\\r\\n', '28,65,0.00,-0.11\\r\\n', '28,65,0.00,-0.11\\r\\n', '28,65,0.00,-0.04\\r\\n', '28,65,0.00,-0.04\\r\\n', '28,65,0.00,-0.11\\r\\n', '28,65,0.00,-0.04\\r\\n', '28,65,0.00,-0.11\\r\\n']\n"
     ]
    }
   ],
   "source": [
    "t=1\n",
    "n=10\n",
    "arduino = serial.Serial('COM3', 9600)\n",
    "lista = []\n",
    "#data = np.zeros((2,n),dtype='float')\n",
    "for i in range(n):\n",
    "    lista.append(arduino.readline().decode(\"utf-8\"))\n",
    "    time.sleep(t)\n",
    "print(lista)\n",
    "arduino.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATAadq = pd.DataFrame(np.zeros((len(lista),4)),columns=['Temperature(°C)','Humedad(%)','Voltage(V)','Current(A)'])\n",
    "#DATAadq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature(°C)</th>\n",
       "      <th>Humedad(%)</th>\n",
       "      <th>Voltage(V)</th>\n",
       "      <th>Current(A)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>000</td>\n",
       "      <td>011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>000</td>\n",
       "      <td>019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>28</td>\n",
       "      <td>65</td>\n",
       "      <td>000</td>\n",
       "      <td>011</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Temperature(°C) Humedad(%) Voltage(V) Current(A)\n",
       "0               0          0        000        011\n",
       "1               0          0        000        019\n",
       "2              28         65        000        011\n",
       "3              28         65        000        011\n",
       "4              28         65        000        011\n",
       "5              28         65        000        004\n",
       "6              28         65        000        004\n",
       "7              28         65        000        011\n",
       "8              28         65        000        004\n",
       "9              28         65        000        011"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataADQ = lista.copy()\n",
    "for i in range(len(dataADQ)):\n",
    "    dataADQ[i]=dataADQ[i].split(\",\")\n",
    "dataADQ=np.array(dataADQ)\n",
    "for i in range(len(dataADQ)):\n",
    "    for j in range(len(dataADQ[i])):\n",
    "        dataADQ[i,j] = re.sub(\"\\D\",\"\",dataADQ[i,j])\n",
    "DATAadq.update((({'Temperature(°C)':dataADQ[:,0]})))\n",
    "DATAadq.update((({'Humedad(%)':dataADQ[:,1]})))\n",
    "DATAadq.update((({'Voltage(V)':dataADQ[:,2]})))\n",
    "DATAadq.update((({'Current(A)':dataADQ[:,3]})))\n",
    "DATAadq\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['0', '0', '039', '048'],\n",
       "       ['0', '0', '039', '048'],\n",
       "       ['29', '64', '039', '056'],\n",
       "       ['29', '64', '039', '048'],\n",
       "       ['30', '64', '039', '056'],\n",
       "       ['30', '64', '039', '056'],\n",
       "       ['30', '64', '039', '048'],\n",
       "       ['30', '64', '039', '056'],\n",
       "       ['29', '64', '039', '056'],\n",
       "       ['29', '64', '039', '048']], dtype='<U6')"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataADQ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experimentos para V semana internacional de ciencia y tecnología\n",
    "En esta sección se realizan 3 experimentos para el póster a presentar en la V semana de Ciencia y tecnología, el cual se divulga el día 23 de de noviembre en un horario 9-11:30hs GTM 05 Colombia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = 1\n",
    "n1 = 60#200\n",
    "n2 = 60#200\n",
    "n3 = 60#200\n",
    "DATAadqEXP1 = pd.DataFrame(np.zeros((n1,4)),columns=['Temperature(°C)','Humedad(%)','Voltage(V)','Current(A)'])\n",
    "DATAadqEXP2 = pd.DataFrame(np.zeros((n2,4)),columns=['Temperature(°C)','Humedad(%)','Voltage(V)','Current(A)'])\n",
    "DATAadqEXP3 = pd.DataFrame(np.zeros((n3,4)),columns=['Temperature(°C)','Humedad(%)','Voltage(V)','Current(A)'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experimento 1\n",
    "60 muestras para un sistema de calefación con características térnicas de fabrica a $100$W."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "n=600#n1\n",
    "arduino = serial.Serial('COM3', 9600)\n",
    "lista = []\n",
    "#data = np.zeros((2,n),dtype='float')\n",
    "for i in range(n):\n",
    "    lista.append(arduino.readline().decode(\"utf-8\"))\n",
    "    time.sleep(t)\n",
    "print(lista)\n",
    "arduino.close()\n",
    "dataADQ = lista.copy()\n",
    "for i in range(len(dataADQ)):\n",
    "    dataADQ[i]=dataADQ[i].split(\",\")\n",
    "dataADQ=np.array(dataADQ)\n",
    "for i in range(len(dataADQ)):\n",
    "    for j in range(len(dataADQ[i])):\n",
    "        dataADQ[i,j] = re.sub(\"\\D\",\"\",dataADQ[i,j])\n",
    "DATAadqEXP1.update((({'Temperature(°C)':dataADQ[1:200,0]})))\n",
    "DATAadqEXP1.update((({'Humedad(%)':dataADQ[1:200,1]})))\n",
    "DATAadqEXP1.update((({'Voltage(V)':dataADQ[1:200,2]})))\n",
    "DATAadqEXP1.update((({'Current(A)':dataADQ[1:200,3]})))\n",
    "DATAadqEXP2.update((({'Temperature(°C)':dataADQ[1:200,0]})))\n",
    "DATAadqEXP2.update((({'Humedad(%)':dataADQ[1:200,1]})))\n",
    "DATAadqEXP2.update((({'Voltage(V)':dataADQ[1:200,2]})))\n",
    "DATAadqEXP2.update((({'Current(A)':dataADQ[1:200,3]})))\n",
    "DATAadqEXP3.update((({'Temperature(°C)':dataADQ[1:200,0]})))\n",
    "DATAadqEXP3.update((({'Humedad(%)':dataADQ[1:200,1]})))\n",
    "DATAadqEXP3.update((({'Voltage(V)':dataADQ[1:200,2]})))\n",
    "DATAadqEXP3.update((({'Current(A)':dataADQ[1:200,3]})))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experimento 2\n",
    "300 muestras para un sistema de calefación con características técnicas de fabrica a $100$W."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "\n",
      "23,46,12.05,1.74\n",
      "\n",
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      "\n",
      "23,46,12.05,1.67\n",
      "\n",
      "23,46,12.08,1.67\n",
      "\n",
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      "23,45,12.05,1.74\n",
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      "23,45,12.05,1.59\n",
      "\n",
      "23,45,12.05,1.74\n",
      "\n",
      "23,45,12.05,1.81\n",
      "\n",
      "23,45,12.05,1.81\n",
      "\n",
      "23,45,12.05,1.74\n",
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      "\n",
      "23,45,12.03,1.81\n",
      "\n",
      "['0,0,12.20,1.52\\r\\n', '23,44,12.15,1.59\\r\\n', '23,44,12.13,1.52\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.10,1.59\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.10,1.59\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.08,1.59\\r\\n', '22,44,12.10,1.67\\r\\n', '22,45,12.08,1.67\\r\\n', '23,45,12.08,1.59\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.10,1.67\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.10,1.67\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.10,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.03,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.59\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.08,1.74\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.08,1.59\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.03,1.74\\r\\n']\n"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature(°C)</th>\n",
       "      <th>Humedad(%)</th>\n",
       "      <th>Voltage(V)</th>\n",
       "      <th>Current(A)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1220</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>1215</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>1213</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1208</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1203</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1203</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature(°C) Humedad(%) Voltage(V) Current(A)\n",
       "0                0          0       1220        152\n",
       "1               23         44       1215        159\n",
       "2               23         44       1213        152\n",
       "3               22         44       1210        152\n",
       "4               22         44       1210        159\n",
       "5               22         44       1210        152\n",
       "6               22         44       1210        159\n",
       "7               22         44       1210        152\n",
       "8               22         44       1208        159\n",
       "9               22         44       1210        167\n",
       "10              22         45       1208        167\n",
       "11              23         45       1208        159\n",
       "12              23         45       1208        167\n",
       "13              23         45       1210        167\n",
       "14              23         45       1208        174\n",
       "15              23         45       1210        167\n",
       "16              23         45       1208        167\n",
       "17              23         45       1210        167\n",
       "18              23         46       1208        167\n",
       "19              23         46       1208        167\n",
       "20              23         46       1208        167\n",
       "21              23         46       1208        167\n",
       "22              23         46       1205        167\n",
       "23              23         46       1205        167\n",
       "24              23         46       1205        167\n",
       "25              23         46       1208        174\n",
       "26              23         46       1205        174\n",
       "27              23         46       1203        167\n",
       "28              23         46       1208        167\n",
       "29              23         46       1205        174\n",
       "30              23         46       1205        174\n",
       "31              23         46       1208        167\n",
       "32              23         46       1208        167\n",
       "33              23         46       1205        167\n",
       "34              23         46       1208        174\n",
       "35              23         46       1205        159\n",
       "36              23         46       1208        174\n",
       "37              23         46       1205        174\n",
       "38              23         46       1208        174\n",
       "39              23         45       1205        167\n",
       "40              23         45       1208        159\n",
       "41              23         45       1208        167\n",
       "42              23         45       1205        181\n",
       "43              23         45       1205        181\n",
       "44              23         45       1205        174\n",
       "45              23         45       1208        174\n",
       "46              23         45       1208        174\n",
       "47              23         45       1205        181\n",
       "48              23         45       1205        167\n",
       "49              23         45       1208        174\n",
       "50              23         45       1205        174\n",
       "51              23         45       1205        174\n",
       "52              23         45       1205        174\n",
       "53              23         45       1205        174\n",
       "54              23         45       1205        174\n",
       "55              23         45       1205        174\n",
       "56              23         45       1208        174\n",
       "57              23         45       1205        167\n",
       "58              23         45       1205        174\n",
       "59              23         45       1203        174"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n=n2\n",
    "arduino = serial.Serial('COM3', 9600)\n",
    "lista = []\n",
    "#data = np.zeros((2,n),dtype='float')\n",
    "for i in range(n):\n",
    "    lista.append(arduino.readline().decode(\"utf-8\"))\n",
    "    print(arduino.readline().decode(\"utf-8\"))\n",
    "    time.sleep(t)\n",
    "print(lista)\n",
    "arduino.close()\n",
    "dataADQ = lista.copy()\n",
    "for i in range(len(dataADQ)):\n",
    "    dataADQ[i]=dataADQ[i].split(\",\")\n",
    "dataADQ=np.array(dataADQ)\n",
    "for i in range(len(dataADQ)):\n",
    "    for j in range(len(dataADQ[i])):\n",
    "        dataADQ[i,j] = re.sub(\"\\D\",\"\",dataADQ[i,j])\n",
    "DATAadqEXP2.update((({'Temperature(°C)':dataADQ[:,0]})))\n",
    "DATAadqEXP2.update((({'Humedad(%)':dataADQ[:,1]})))\n",
    "DATAadqEXP2.update((({'Voltage(V)':dataADQ[:,2]})))\n",
    "DATAadqEXP2.update((({'Current(A)':dataADQ[:,3]})))\n",
    "#DATAadqEXP = pd.concat([DATAadqEXP1,DATAadqEXP2,DATAadqEXP3],keys=['Experimento 1.','Experimento 2.','Experimento 3.'])\n",
    "DATAadqEXP2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "arduino.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experimento 3\n",
    "600 muestras para un sistema de calefación con características técnicas de fabrica a $100$W."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-6-f879fbf5bbe4>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m     \u001b[0mlista\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marduino\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"utf-8\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m     \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mlista\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m \u001b[0marduino\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "n=n3\n",
    "arduino = serial.Serial('COM3', 9600)\n",
    "lista = []\n",
    "#data = np.zeros((2,n),dtype='float')\n",
    "for i in range(n):\n",
    "    lista.append(arduino.readline().decode(\"utf-8\"))\n",
    "    time.sleep(t)\n",
    "print(lista)\n",
    "arduino.close()\n",
    "dataADQ = lista.copy()\n",
    "for i in range(len(dataADQ)):\n",
    "    dataADQ[i]=dataADQ[i].split(\",\")\n",
    "dataADQ=np.array(dataADQ)\n",
    "for i in range(len(dataADQ)):\n",
    "    for j in range(len(dataADQ[i])):\n",
    "        dataADQ[i,j] = re.sub(\"\\D\",\"\",dataADQ[i,j])\n",
    "DATAadqEXP3.update((({'Temperature(°C)':dataADQ[:,0]})))\n",
    "DATAadqEXP3.update((({'Humedad(%)':dataADQ[:,1]})))\n",
    "DATAadqEXP3.update((({'Voltage(V)':dataADQ[:,2]})))\n",
    "DATAadqEXP3.update((({'Current(A)':dataADQ[:,3]})))\n",
    "DATAadqEXP3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature(°C)</th>\n",
       "      <th>Humedad(%)</th>\n",
       "      <th>Voltage(V)</th>\n",
       "      <th>Current(A)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>000</td>\n",
       "      <td>004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1174</td>\n",
       "      <td>418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1164</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1164</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1157</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1154</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1152</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1152</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1152</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1147</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1149</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1149</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1154</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1154</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1159</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1159</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1157</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1164</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1161</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature(°C) Humedad(%) Voltage(V) Current(A)\n",
       "0                0          0        000        004\n",
       "1               23         43       1174        418\n",
       "2               23         43       1166        433\n",
       "3               23         43       1164        463\n",
       "4               23         43       1164        470\n",
       "5               23         43       1161        492\n",
       "6               23         43       1157        522\n",
       "7               23         43       1154        529\n",
       "8               23         43       1152        559\n",
       "9               23         43       1152        559\n",
       "10              23         43       1152        567\n",
       "11              23         43       1147        589\n",
       "12              23         43       1147        604\n",
       "13              23         42       1147        604\n",
       "14              23         42       1147        604\n",
       "15              23         42       1147        604\n",
       "16              23         42       1149        596\n",
       "17              23         42       1147        611\n",
       "18              23         42       1144        596\n",
       "19              23         42       1144        611\n",
       "20              23         42       1144        626\n",
       "21              23         42       1144        611\n",
       "22              23         42       1147        589\n",
       "23              23         42       1144        611\n",
       "24              23         42       1149        596\n",
       "25              23         42       1147        589\n",
       "26              23         42       1147        596\n",
       "27              23         42       1152        567\n",
       "28              23         42       1152        552\n",
       "29              23         42       1152        544\n",
       "30              23         42       1152        537\n",
       "31              23         42       1154        515\n",
       "32              23         42       1154        529\n",
       "33              23         42       1159        507\n",
       "34              23         42       1159        492\n",
       "35              23         42       1157        500\n",
       "36              23         43       1159        485\n",
       "37              23         43       1159        485\n",
       "38              23         43       1159        478\n",
       "39              23         43       1159        478\n",
       "40              23         43       1161        470\n",
       "41              23         43       1161        463\n",
       "42              23         43       1161        455\n",
       "43              23         43       1161        455\n",
       "44              23         43       1164        448\n",
       "45              23         43       1161        448\n",
       "46              23         42       1166        433\n",
       "47              23         42       1164        433\n",
       "48              23         42       1161        441\n",
       "49              23         42       1164        448\n",
       "50              23         42       1166        433\n",
       "51              23         42       1164        433\n",
       "52              23         42       1166        441\n",
       "53              23         42       1164        426\n",
       "54              23         42       1166        433\n",
       "55              23         42       1166        426\n",
       "56              23         42       1166        433\n",
       "57              23         42       1166        426\n",
       "58              23         42       1166        426\n",
       "59              23         42       1166        418"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "DATAadqEXP4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Experimento 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0,0,11.86,4.04\n",
      "\n",
      "23,43,11.69,4.26\n",
      "\n",
      "23,43,11.64,4.48\n",
      "\n",
      "23,43,11.64,4.70\n",
      "\n",
      "23,43,11.61,4.78\n",
      "\n",
      "23,43,11.57,5.15\n",
      "\n",
      "23,43,11.57,5.29\n",
      "\n",
      "23,43,11.52,5.52\n",
      "\n",
      "23,43,11.52,5.59\n",
      "\n",
      "23,43,11.49,5.74\n",
      "\n",
      "23,43,11.47,5.74\n",
      "\n",
      "23,43,11.47,5.89\n",
      "\n",
      "23,43,11.47,6.11\n",
      "\n",
      "23,42,11.47,6.04\n",
      "\n",
      "23,42,11.47,5.96\n",
      "\n",
      "23,42,11.49,5.89\n",
      "\n",
      "23,42,11.47,6.11\n",
      "\n",
      "23,42,11.47,5.96\n",
      "\n",
      "23,42,11.44,6.11\n",
      "\n",
      "23,42,11.44,6.11\n",
      "\n",
      "23,42,11.42,6.11\n",
      "\n",
      "23,42,11.47,5.96\n",
      "\n",
      "23,42,11.47,6.11\n",
      "\n",
      "23,42,11.47,6.04\n",
      "\n",
      "23,42,11.47,5.89\n",
      "\n",
      "23,42,11.49,5.81\n",
      "\n",
      "23,42,11.49,5.81\n",
      "\n",
      "23,42,11.49,5.59\n",
      "\n",
      "23,42,11.54,5.37\n",
      "\n",
      "23,42,11.52,5.52\n",
      "\n",
      "23,42,11.54,5.44\n",
      "\n",
      "23,42,11.54,5.29\n",
      "\n",
      "23,42,11.57,5.15\n",
      "\n",
      "23,42,11.57,5.07\n",
      "\n",
      "23,42,11.59,5.00\n",
      "\n",
      "23,42,11.57,4.85\n",
      "\n",
      "23,43,11.59,4.78\n",
      "\n",
      "23,43,11.59,4.92\n",
      "\n",
      "23,43,11.59,4.55\n",
      "\n",
      "23,43,11.61,4.85\n",
      "\n",
      "23,43,11.59,4.70\n",
      "\n",
      "23,43,11.61,4.63\n",
      "\n",
      "23,43,11.61,4.63\n",
      "\n",
      "23,43,11.64,4.63\n",
      "\n",
      "23,43,11.61,4.55\n",
      "\n",
      "23,43,11.64,4.48\n",
      "\n",
      "23,42,11.64,4.41\n",
      "\n",
      "23,42,11.61,4.55\n",
      "\n",
      "23,42,11.61,4.33\n",
      "\n",
      "23,42,11.64,4.33\n",
      "\n",
      "23,42,11.64,4.41\n",
      "\n",
      "23,42,11.61,4.33\n",
      "\n",
      "23,42,11.64,4.26\n",
      "\n",
      "23,42,11.64,4.33\n",
      "\n",
      "23,42,11.64,4.41\n",
      "\n",
      "23,42,11.66,4.18\n",
      "\n",
      "23,42,11.64,4.33\n",
      "\n",
      "23,42,11.64,4.33\n",
      "\n",
      "23,42,11.66,4.18\n",
      "\n",
      "23,42,11.64,4.18\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature(°C)</th>\n",
       "      <th>Humedad(%)</th>\n",
       "      <th>Voltage(V)</th>\n",
       "      <th>Current(A)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>000</td>\n",
       "      <td>004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1174</td>\n",
       "      <td>418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1164</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1164</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1157</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1154</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1152</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1152</td>\n",
       "      <td>559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1152</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1147</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1149</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1144</td>\n",
       "      <td>611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1149</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1147</td>\n",
       "      <td>596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1152</td>\n",
       "      <td>537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1154</td>\n",
       "      <td>515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1154</td>\n",
       "      <td>529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1159</td>\n",
       "      <td>507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1159</td>\n",
       "      <td>492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1157</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1159</td>\n",
       "      <td>478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1164</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>1161</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1161</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1164</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>23</td>\n",
       "      <td>42</td>\n",
       "      <td>1166</td>\n",
       "      <td>418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature(°C) Humedad(%) Voltage(V) Current(A)\n",
       "0                0          0        000        004\n",
       "1               23         43       1174        418\n",
       "2               23         43       1166        433\n",
       "3               23         43       1164        463\n",
       "4               23         43       1164        470\n",
       "5               23         43       1161        492\n",
       "6               23         43       1157        522\n",
       "7               23         43       1154        529\n",
       "8               23         43       1152        559\n",
       "9               23         43       1152        559\n",
       "10              23         43       1152        567\n",
       "11              23         43       1147        589\n",
       "12              23         43       1147        604\n",
       "13              23         42       1147        604\n",
       "14              23         42       1147        604\n",
       "15              23         42       1147        604\n",
       "16              23         42       1149        596\n",
       "17              23         42       1147        611\n",
       "18              23         42       1144        596\n",
       "19              23         42       1144        611\n",
       "20              23         42       1144        626\n",
       "21              23         42       1144        611\n",
       "22              23         42       1147        589\n",
       "23              23         42       1144        611\n",
       "24              23         42       1149        596\n",
       "25              23         42       1147        589\n",
       "26              23         42       1147        596\n",
       "27              23         42       1152        567\n",
       "28              23         42       1152        552\n",
       "29              23         42       1152        544\n",
       "30              23         42       1152        537\n",
       "31              23         42       1154        515\n",
       "32              23         42       1154        529\n",
       "33              23         42       1159        507\n",
       "34              23         42       1159        492\n",
       "35              23         42       1157        500\n",
       "36              23         43       1159        485\n",
       "37              23         43       1159        485\n",
       "38              23         43       1159        478\n",
       "39              23         43       1159        478\n",
       "40              23         43       1161        470\n",
       "41              23         43       1161        463\n",
       "42              23         43       1161        455\n",
       "43              23         43       1161        455\n",
       "44              23         43       1164        448\n",
       "45              23         43       1161        448\n",
       "46              23         42       1166        433\n",
       "47              23         42       1164        433\n",
       "48              23         42       1161        441\n",
       "49              23         42       1164        448\n",
       "50              23         42       1166        433\n",
       "51              23         42       1164        433\n",
       "52              23         42       1166        441\n",
       "53              23         42       1164        426\n",
       "54              23         42       1166        433\n",
       "55              23         42       1166        426\n",
       "56              23         42       1166        433\n",
       "57              23         42       1166        426\n",
       "58              23         42       1166        426\n",
       "59              23         42       1166        418"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n=n3\n",
    "arduino = serial.Serial('COM3', 9600)\n",
    "lista = []\n",
    "#data = np.zeros((2,n),dtype='float')\n",
    "for i in range(60):\n",
    "    lista.append(arduino.readline().decode(\"utf-8\"))\n",
    "    print(arduino.readline().decode(\"utf-8\"))\n",
    "    time.sleep(t)\n",
    "#print(lista)\n",
    "arduino.close()\n",
    "dataADQ = lista.copy()\n",
    "for i in range(len(dataADQ)):\n",
    "    dataADQ[i]=dataADQ[i].split(\",\")\n",
    "dataADQ=np.array(dataADQ)\n",
    "for i in range(len(dataADQ)):\n",
    "    for j in range(len(dataADQ[i])):\n",
    "        dataADQ[i,j] = re.sub(\"\\D\",\"\",dataADQ[i,j])\n",
    "DATAadqEXP4 = pd.DataFrame(np.zeros((n3,4)),columns=['Temperature(°C)','Humedad(%)','Voltage(V)','Current(A)'])\n",
    "DATAadqEXP4.update((({'Temperature(°C)':dataADQ[:,0]})))\n",
    "DATAadqEXP4.update((({'Humedad(%)':dataADQ[:,1]})))\n",
    "DATAadqEXP4.update((({'Voltage(V)':dataADQ[:,2]})))\n",
    "DATAadqEXP4.update((({'Current(A)':dataADQ[:,3]})))\n",
    "DATAadqEXP4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "processEXP4 = DATAadqEXP4.copy()\n",
    "processEXP4.to_csv('Solar_Incubator_V_week_Experimento_04_.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Corriente (A)')"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "IN_T_4 = np.int_(processEXP4['Temperature(°C)'])\n",
    "IN_H_4 = np.int_(processEXP4['Humedad(%)'])\n",
    "IN_V_4 = np.float_(processEXP4['Voltage(V)'])/100\n",
    "IN_I_4 = np.float_(processEXP4['Current(A)'])/100\n",
    "plt.scatter(IN_I_4,IN_V_4)\n",
    "plt.plot(np.mean(IN_I_4),np.mean(IN_V_4),'rs',c='red')\n",
    "plt.figure()\n",
    "plt.hist(IN_V_4)\n",
    "plt.figure()\n",
    "plt.hist(IN_I_4)\n",
    "plt.figure()\n",
    "plt.ylabel('Voltaje (V)')\n",
    "plt.xlabel('Corriente (A)')\n",
    "#plt.plot(IN_I,IN_V,c='green')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([4.18, 4.33, 4.63, 4.7 , 4.92, 5.22, 5.29, 5.59, 5.59, 5.67, 5.89,\n",
       "       6.04, 6.04, 6.04, 6.04, 5.96, 6.11, 5.96, 6.11, 6.26, 6.11, 5.89,\n",
       "       6.11, 5.96, 5.89, 5.96, 5.67, 5.52, 5.44, 5.37, 5.15, 5.29, 5.07,\n",
       "       4.92, 5.  , 4.85, 4.85, 4.78, 4.78, 4.7 , 4.63, 4.55, 4.55, 4.48,\n",
       "       4.48, 4.33, 4.33, 4.41, 4.48, 4.33, 4.33, 4.41, 4.26, 4.33, 4.26,\n",
       "       4.33, 4.26, 4.26])"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "IN_I_4[1:59]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "IN_I_41=IN_I_4[1:59]\n",
    "IN_V_41=IN_V_4[1:59]\n",
    "\n",
    "popt_04, pcov_04 = curve_fit(func,IN_I_41,IN_V_41)\n",
    "newx_4 = np.linspace(np.min(IN_I_41), np.max(IN_I_41), 100)\n",
    "plt.scatter(IN_I_41,IN_V_41,c='blue',label='Datos I-V')\n",
    "plt.plot(newx_4, func(newx_4, *popt_04), 'r-',label='fitted: a=%5.3f, b=%5.3f, c=%5.3f' % tuple(popt_04))\n",
    "#popt_03, pcov_03 = curve_fit(func, IN_I, IN_V, bounds=(0, [3., 1., 0.5]))\n",
    "#plt.plot(IN_I, func(IN_I, *popt_03), 'g--',label='fit: a=%5.3f, b=%5.3f, c=%5.3f' % tuple(popt_03))\n",
    "plt.ylabel('Voltaje (V)')\n",
    "plt.xlabel('Corriente (I)')\n",
    "plt.title('Caracterización resistencias en paralelo')\n",
    "plt.legend()\n",
    "plt.savefig('Solar_incubator_EXP04.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20.294101527777773"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(IN_I)*np.mean(IN_V)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Resumen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['0,0,12.20,1.52\\r\\n', '23,44,12.15,1.59\\r\\n', '23,44,12.13,1.52\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.10,1.59\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.10,1.59\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.08,1.59\\r\\n', '22,44,12.10,1.67\\r\\n', '22,45,12.08,1.67\\r\\n', '23,45,12.08,1.59\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.10,1.67\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.10,1.67\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.10,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.03,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.59\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.08,1.74\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.08,1.59\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.03,1.74\\r\\n']\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Temperature(°C)</th>\n",
       "      <th>Humedad(%)</th>\n",
       "      <th>Voltage(V)</th>\n",
       "      <th>Current(A)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1220</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>1215</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23</td>\n",
       "      <td>44</td>\n",
       "      <td>1213</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1208</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>22</td>\n",
       "      <td>44</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1210</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1203</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>23</td>\n",
       "      <td>46</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1208</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1205</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>23</td>\n",
       "      <td>45</td>\n",
       "      <td>1203</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Temperature(°C) Humedad(%) Voltage(V) Current(A)\n",
       "0                0          0       1220        152\n",
       "1               23         44       1215        159\n",
       "2               23         44       1213        152\n",
       "3               22         44       1210        152\n",
       "4               22         44       1210        159\n",
       "5               22         44       1210        152\n",
       "6               22         44       1210        159\n",
       "7               22         44       1210        152\n",
       "8               22         44       1208        159\n",
       "9               22         44       1210        167\n",
       "10              22         45       1208        167\n",
       "11              23         45       1208        159\n",
       "12              23         45       1208        167\n",
       "13              23         45       1210        167\n",
       "14              23         45       1208        174\n",
       "15              23         45       1210        167\n",
       "16              23         45       1208        167\n",
       "17              23         45       1210        167\n",
       "18              23         46       1208        167\n",
       "19              23         46       1208        167\n",
       "20              23         46       1208        167\n",
       "21              23         46       1208        167\n",
       "22              23         46       1205        167\n",
       "23              23         46       1205        167\n",
       "24              23         46       1205        167\n",
       "25              23         46       1208        174\n",
       "26              23         46       1205        174\n",
       "27              23         46       1203        167\n",
       "28              23         46       1208        167\n",
       "29              23         46       1205        174\n",
       "30              23         46       1205        174\n",
       "31              23         46       1208        167\n",
       "32              23         46       1208        167\n",
       "33              23         46       1205        167\n",
       "34              23         46       1208        174\n",
       "35              23         46       1205        159\n",
       "36              23         46       1208        174\n",
       "37              23         46       1205        174\n",
       "38              23         46       1208        174\n",
       "39              23         45       1205        167\n",
       "40              23         45       1208        159\n",
       "41              23         45       1208        167\n",
       "42              23         45       1205        181\n",
       "43              23         45       1205        181\n",
       "44              23         45       1205        174\n",
       "45              23         45       1208        174\n",
       "46              23         45       1208        174\n",
       "47              23         45       1205        181\n",
       "48              23         45       1205        167\n",
       "49              23         45       1208        174\n",
       "50              23         45       1205        174\n",
       "51              23         45       1205        174\n",
       "52              23         45       1205        174\n",
       "53              23         45       1205        174\n",
       "54              23         45       1205        174\n",
       "55              23         45       1205        174\n",
       "56              23         45       1208        174\n",
       "57              23         45       1205        167\n",
       "58              23         45       1205        174\n",
       "59              23         45       1203        174"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(lista)\n",
    "arduino.close()\n",
    "dataADQ = lista.copy()\n",
    "for i in range(len(dataADQ)):\n",
    "    dataADQ[i]=dataADQ[i].split(\",\")\n",
    "dataADQ=np.array(dataADQ)\n",
    "for i in range(len(dataADQ)):\n",
    "    for j in range(len(dataADQ[i])):\n",
    "        dataADQ[i,j] = re.sub(\"\\D\",\"\",dataADQ[i,j])\n",
    "DATAadqEXP3.update((({'Temperature(°C)':dataADQ[:,0]})))\n",
    "DATAadqEXP3.update((({'Humedad(%)':dataADQ[:,1]})))\n",
    "DATAadqEXP3.update((({'Voltage(V)':dataADQ[:,2]})))\n",
    "DATAadqEXP3.update((({'Current(A)':dataADQ[:,3]})))\n",
    "DATAadqEXP3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "listaEXP3 = ['0,0,12.20,1.52\\r\\n', '23,44,12.15,1.59\\r\\n', '23,44,12.13,1.52\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.10,1.59\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.10,1.59\\r\\n', '22,44,12.10,1.52\\r\\n', '22,44,12.08,1.59\\r\\n', '22,44,12.10,1.67\\r\\n', '22,45,12.08,1.67\\r\\n', '23,45,12.08,1.59\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.10,1.67\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.10,1.67\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.10,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.03,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.08,1.67\\r\\n', '23,46,12.05,1.67\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.59\\r\\n', '23,46,12.08,1.74\\r\\n', '23,46,12.05,1.74\\r\\n', '23,46,12.08,1.74\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.08,1.59\\r\\n', '23,45,12.08,1.67\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.81\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.08,1.74\\r\\n', '23,45,12.05,1.67\\r\\n', '23,45,12.05,1.74\\r\\n', '23,45,12.03,1.74\\r\\n']\n",
    "dataADQnova = listaEXP3.copy()\n",
    "for i in range(len(dataADQnova)):\n",
    "    dataADQnova[i]=dataADQnova[i].split(\",\")\n",
    "dataADQnova=np.array(dataADQnova)\n",
    "for i in range(len(dataADQnova)):\n",
    "    for j in range(len(dataADQnova[i])):\n",
    "        dataADQnova[i,j] = re.sub(\"\\D\",\"\",dataADQnova[i,j])\n",
    "DATAadqEXP3nova = pd.DataFrame(np.zeros((60,4)),columns=['Temperature(°C)','Humedad(%)','Voltage(V)','Current(A)'])\n",
    "DATAadqEXP3nova.update((({'Temperature(°C)':dataADQnova[:,0]})))\n",
    "DATAadqEXP3nova.update((({'Humedad(%)':dataADQnova[:,1]})))\n",
    "DATAadqEXP3nova.update((({'Voltage(V)':dataADQnova[:,2]})))\n",
    "DATAadqEXP3nova.update((({'Current(A)':dataADQnova[:,3]})))\n",
    "DATAadqEXP3nova.to_csv('Solar_Incubator_V_week_Experimento_03_.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "processEXP3 = DATAadqEXP3nova.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,0,'Corriente (A)')"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD8CAYAAABn919SAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAADXxJREFUeJzt3X+sZGV9x/H3tyyaptDIuhe6teBFQ38sf7iQW2JrbWiNFpc2i/2VksZuUpqtTUm0P5KuJVH+abJoqKaN1ayRslpEmyBKymolWys2LdgLRVi60kXcKrDZXUpSMGmsi1//mOeW4TL3ztyZM/fOfvt+JZM55znPM+d7nz372XPPmZmNzESSdPr7vo0uQJLUDQNdkoow0CWpCANdkoow0CWpCANdkoow0CWpCANdkoow0CWpiE3rubMtW7bk/Pz8eu5Skk57991331OZOTes37oG+vz8PIuLi+u5S0k67UXEf47Sz0suklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklTEun5S9HQ1v+fOjS5hXR3de+VGlyBpDJ6hS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFWGgS1IRBrokFTE00CPi/Ij4QkQcjoiHI+LtrX1zRNwVEUfa8znTL1eStJJRztBPAX+UmT8BvBb4/YjYBuwBDmbmRcDBti5J2iBDAz0zj2Xm/W35WeAw8ApgJ7C/ddsPXDWtIiVJw63pGnpEzAOXAPcC52XmMeiFPnBu18VJkkY3cqBHxFnAbcA7MvOZNYzbHRGLEbF48uTJcWqUJI1gpECPiDPphfktmfmp1nw8Ira27VuBE4PGZua+zFzIzIW5ubkuapYkDTDKu1wC+AhwODP/vG/THcCutrwL+Ez35UmSRrVphD6vA94KPBQRD7S2PwX2An8bEdcA3wB+bTolSpJGMTTQM/OfgFhh8xu6LUeSNC4/KSpJRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklSEgS5JRRjoklTE0ECPiJsi4kREHOpruz4inoiIB9pjx3TLlCQNM8oZ+s3AFQPa35eZ29vjQLdlSZLWamigZ+bdwNPrUIskaQKTXEO/NiIebJdkzumsIknSWMYN9A8Crwa2A8eAG1fqGBG7I2IxIhZPnjw55u4kScOMFeiZeTwzn8vM7wIfBi5bpe++zFzIzIW5ublx65QkDTFWoEfE1r7VtwCHVuorSVofm4Z1iIhbgcuBLRHxOPBu4PKI2A4kcBT43SnWKEkawdBAz8yrBzR/ZAq1SJIm4CdFJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12SijDQJakIA12Sihga6BFxU0SciIhDfW2bI+KuiDjSns+ZbpmSpGFGOUO/GbhiWdse4GBmXgQcbOuSpA00NNAz827g6WXNO4H9bXk/cFXHdUmS1mjca+jnZeYxgPZ8bnclSZLGMfWbohGxOyIWI2Lx5MmT096dJP2/NW6gH4+IrQDt+cRKHTNzX2YuZObC3NzcmLuTJA0zbqDfAexqy7uAz3RTjiRpXKO8bfFW4F+AH4uIxyPiGmAv8MaIOAK8sa1LkjbQpmEdMvPqFTa9oeNaJEkT8JOiklSEgS5JRRjoklSEgS5JRQy9KSqtp/k9d27Ifo/uvXJD9it1yTN0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSrCQJekIgx0SSpi0ySDI+Io8CzwHHAqMxe6KEqStHYTBXrzc5n5VAevI0magJdcJKmISQM9gc9HxH0RsbuLgiRJ45n0ksvrMvPJiDgXuCsivpqZd/d3aEG/G+CCCy6YcHeSpJVMdIaemU+25xPA7cBlA/rsy8yFzFyYm5ubZHeSpFWMHegR8QMRcfbSMvAm4FBXhUmS1maSSy7nAbdHxNLrfDwzP9dJVZKkNRs70DPzMeA1HdYiSZqAb1uUpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqYtNGFzCq+T13bnQJkjTTPEOXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkqwkCXpCIMdEkq4rT5YJE0TRv5wbWje6/ckP36M6+v9fiZPUOXpCIMdEkqwkCXpCIMdEkqYqJAj4grIuKRiHg0IvZ0VZQkae3GDvSIOAP4APBmYBtwdURs66owSdLaTHKGfhnwaGY+lpn/C3wC2NlNWZKktZok0F8BfLNv/fHWJknaAJN8sCgGtOWLOkXsBna31W9FxCMDxm0Bnpqglo1Qtua4YR0qGU3ZOe43A/O97vPcwc982h0bccNENb9ylE6TBPrjwPl96z8CPLm8U2buA/at9kIRsZiZCxPUsu6sefpOt3rBmteLNQ82ySWXfwUuiogLI+IlwG8Ad3RTliRprcY+Q8/MUxFxLfD3wBnATZn5cGeVSZLWZKIv58rMA8CBDupY9ZLMjLLm6Tvd6gVrXi/WPEBkvug+piTpNORH/yWpiE4CPSJuiogTEXGor+29EfHViHgwIm6PiJetMHbg1wdExC2t/VB7/TNb++UR8d8R8UB7vGuGar45Ir7eV9v21h4R8Ret/4MRcemM1PulvlqfjIhPt/ZZmOMXjW3tmyPirog40p7Pae0Tz/EUax44PiLmI+J/+ub5QzNU8/UR8URfbTv6tr2zzfMjEfELM1LvJ/tqPRoRD7T2DZ3jiDg/Ir4QEYcj4uGIeHvftu6P5cyc+AH8LHApcKiv7U3AprZ8A3DDgHFnAF8DXgW8BPgKsK1t20Hvve4B3Ar8Xmu/HPi7Ga35ZuBXB4zZAXy2/SyvBe6dhXqX9bsN+K1ZmOOVxrb29wB72vKepfFdzPEUax44Hphf3neGar4e+OMB/be1Y+ilwIXt2Dpjo+td1udG4F2zMMfAVuDStnw28B88nxedH8udnKFn5t3A08vaPp+Zp9rqPfTep77cil8fkJkHsgG+vML4map5FTuBj7Yf5x7gZRGxdVbqjYizgZ8HPr2WmqZY88CxzU5gf1veD1zV1z7RHE+r5lHHj2tK87ySncAnMvPbmfl14FF6x9hM1BsRAfw6vZPAzoxbc2Yey8z72/KzwGGe/0R958fyel1D/216/+IsN/TrA6J3qeWtwOf6mn8qIr4SEZ+NiIu7LrYZt+Y/a78mvS8iXjrimC6MPcfAW4CDmflMX9tGzvFqzsvMY9D7ywKc29rX66soxql5tfEXRsS/RcQXI+L1k5U28j5HdW07lm9auhzAxh7Lo3g9cDwzj/S1zcQcR8Q8cAlwb2vq/FieeqBHxHXAKeCWQZsHtC1/281fAXdn5pfa+v3AKzPzNcBf0vFZJUxU8zuBHwd+EtgM/MkIYybWwRxfzQvPaDZ6jsd6yQFtnb6Fa9KaB4w/BlyQmZcAfwh8PCJ+sItaV9nnqD4IvBrY3uq8ceklB/Rdr2N5FMuP5ZmY44g4i95lzXcsO3Ea2H1A20hzPNVAj4hdwC8Cv9kunSy36tcHRMS7gTl6fxAAZOYzmfmttnwAODMitsxCze3Xq8zMbwN/zfO/io70NQnrXW8b//JW5//977kzMMerOb7062d7PtHapzbHbV+T1DxwfLts8V9t+T5616N/dBZqzszjmflcZn4X+DCzcSwPG78J+GXgk0ttszDH7SrDbcAtmfmpvk3dH8ujXmwf9mDZzQfgCuDfgblVxmwCHqN3c2Xpht3FbdvvAP8MfP+yMT/E8++fvwz4xtL6DNS8tT0H8H5gb1u/khfe5PjyLNTbtr8N2D9Lc7zS2Nb2Xl54I+k9Xc7xlGoeOJ7eycoZbflVwBPA5hmpeWvf8h/Qu24OcDEvvCn6GGu8KTqNevte44uzNMftePwo8P4B2zo/lsc64AcUdiu9X22+Q+9fl2vo3Sz5JvBAe3yo9f1h4EDf2B307vx+Dbiur/1Ua1sav3TX+lrg4XZQ3QP89AzV/A/AQ8Ah4G+As/r+UD/Q+j8ELMxCvW3bPwJXLGubhTl+0djW/nLgIHCkPW/uao6nWPNK43+lb57vB35phmr+WJvHB+l9R1N/wF/X5vkR4M2zUG/bdjPwtmX72tA5Bn6G3uWSB/v67ZjWsewnRSWpCD8pKklFGOiSVISBLklFGOiSVISBLklFGOiSVISBLklFGOiSVMT3AK4oNv/73CqZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEKCAYAAAAMzhLIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAE/xJREFUeJzt3Xu0XnV95/H3hwREES9toqUQGtQgZhgFPFBbOypVZgG1iRcUsCwHh0XW6gzOslpcOHQoi85NqW21xUumpV5aiNRejG2EThGrqzaQpFwkYdFGBIm0QxTFtrRcnO/88ez0PHM453eenGSf83jyfq11Vp797N/e5/v8Vs75nP3be/92qgpJkmZy0EIXIEkabwaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaeguKJFcneTDJnTOsT5IPJtmZ5I4kJ/VViyRp7vo8ovgYcHpj/RnAqu5rHfDhHmuRJM1Rb0FRVV8EHmo0WQt8ogY2A89KckRf9UiS5mbpAn7vI4H7h5Z3de/97dSGSdYxOOrgsMMOe+lxxx03LwVK0mKxbdu2b1bV8rlsu5BBkWnem3Y+kapaD6wHmJiYqK1bt/ZZlyQtOknum+u2C3nV0y5gxdDyUcADC1SLJGkGCxkUG4G3dlc/vQx4uKqeNOwkSVpYvQ09JbkWeBWwLMku4BeBgwGq6iPAJuBMYCfwCPC2vmqRJM1db0FRVefOsr6A/9jX95ck7R/emS1JajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKmp16BIcnqSu5PsTHLJNOuPTnJTkluT3JHkzD7rkSTtvd6CIskS4CrgDGA1cG6S1VOa/QJwXVWdCJwDfKiveiRJc9PnEcUpwM6quqeqHgM2AGuntCngGd3rZwIP9FiPJGkO+gyKI4H7h5Z3de8Nuxw4L8kuYBPw9ul2lGRdkq1Jtu7evbuPWiVJM+gzKDLNezVl+VzgY1V1FHAm8MkkT6qpqtZX1URVTSxfvryHUiVJM+kzKHYBK4aWj+LJQ0sXANcBVNVfAocCy3qsSZK0l/oMii3AqiTHJDmEwcnqjVPafB14NUCSFzEICseWJGmM9BYUVfUEcBFwA3AXg6ubtie5Ismartm7gAuT3A5cC5xfVVOHpyRJC2hpnzuvqk0MTlIPv3fZ0OsdwMv7rEGStG+8M1uS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmnoNiiSnJ7k7yc4kl8zQ5s1JdiTZnuSaPuuRJO29pa2VSQ4FXgv8G+CHgX8C7gT+pKq2z7LtEuAq4DRgF7Alycaq2jHUZhXwHuDlVfXtJM/Zlw8jSdr/ZgyKJJcDa4CbgJuBB4FDgWOB/9mFyLuq6o4ZdnEKsLOq7un2twFYC+wYanMhcFVVfRugqh7cp08jSdrvWkcUW6rq8hnW/Ur31//Rje2PBO4fWt4F/OiUNscCJPkLYAlweVVdP3VHSdYB6wCOPrr1LSVJ+1vrHMVTkzxlppVV9WBVbW1sn+k2m7K8FFgFvAo4F/jNJM+a5nutr6qJqppYvnx541tKkva3VlD8DHB/kk8kOaM757A3dgErhpaPAh6Yps1nqurxqvoacDeD4JAkjYkZg6KqXg+8ALgR+E8MQuPDSV4x4r63AKuSHJPkEOAcYOOUNn8EnAqQZBmDoah79u4jSJL61Lw8tqq+W1Ufr6ozgH8N3Ab8epL7W9t12z4BXATcANwFXFdV25NckWRN1+wG4FtJdjA4aX5xVX1rHz6PJGk/a14eu0eSZwNvAM4GfgD4/VG2q6pNwKYp71029LqAd3ZfkqQx1Lo89nDgdQxOMp/EYNjovwI3db/gJUkHgNYRxdcYDA19GLi+qh6fn5IkSeOkFRRHV9Uj81aJJGkstU5mb0jy2iQHT12R5HndSel/32NtkqQx0DqiWMfgJPMHkjwE7GYwhcdK4KvAb1TVZ3qvUJK0oGYMiqr6O+DdwLuTrASOYDAp4F87JCVJB46RLo+tqnuBe3utRJI0lnxwkSSpyaCQJDWNFBRJnprkhX0XI0kaP7MGRZKfZjDH0/Xd8glJpk7uJ0lapEY5oricwdPqvgNQVbcxuERWknQAGCUonqiqh3uvRJI0lka5PPbOJG8BliRZxeDZFF/utyxJ0rgY5Yji7cC/Ah4FrgW+C7yjz6IkSeNj1iOK7i7sS7svSdIBpvU8il+rqnck+Sww9fkTBTwEfLSqNvdZoCRpYbWOKD7Z/fvLM6xfBlwNrN6vFUmSxkprUsBt3b9/PlObJI/1UZQkaXzMeo6iu9LpfzA4cjh0z/tV9byq+myPtUmSxsAoVz39NoPHoT4BnAp8gslhKUnSIjdKUDy1qm4EUlX3VdXlwE/2W5YkaVyMcsPdPyc5CPibJBcB3wCe029ZkqRxMcoRxTuApzG4I/ulwHnAW/ssSpI0PkYJipVV9Q9Vtauq3lZVbwSO7rswSdJ4GCUo3jPie5KkRah1Z/YZwJnAkUk+OLTqGQyugJIkHQBaJ7MfALYBa7p/9/h74Of6LEqSND5ad2bfDtye5HeqyiMISTpAtYaevkI3GWCSJ62vqhf3V5YkaVy0hp5eO29VSJLGVmvo6b49r5M8Fzi5W7ylqh7suzBJ0niY9fLYJG8GbgHeBLwZuDnJWX0XJkkaD6NM4XEpcPKeo4gky4E/Az7dZ2GSpPEwyg13B00ZavrWiNtJkhaBUX7hX5/khiTnJzkf+BNg0yg7T3J6kruT7ExySaPdWUkqycRoZUuS5susQ09VdXGSNwA/AQRYX1V/ONt2SZYAVwGnAbuALUk2VtWOKe0OZzDh4M1zqF+S1LPWfRS/AVxTVV+uqj8A/mAv930KsLOq7un2twFYC+yY0u6XgPcBP7+X+5ckzYPW0NPfAO9Pcm+S9yY5YS/3fSRw/9Dyru69f5HkRGBFVf1xa0dJ1iXZmmTr7t2797IMSdK+mDEoquoDVfVjwCuBh4DfTnJXksuSHDvCvp98O3d3pzdA9zCkXwXeNduOqmp9VU1U1cTy5ctH+NaSpP1l1pPZ3eNP31tVJwJvAV4P3DXCvncBK4aWj2Iw0eAehwPHA19Ici/wMmCjJ7QlabyMcsPdwUl+OsnvAp8D/hp44wj73gKsSnJMkkOAc4CNe1ZW1cNVtayqVlbVSmAzsKaqts7lg0iS+tE6mX0acC7wUwzuzN4ArKuqfxxlx1X1RPeM7RuAJcDVVbU9yRXA1qra2N6DJGkcpKqmX5HcBFwD/H5VPTSvVTVMTEzU1q0edEjS3kiyrarmNLTfmhTw1LmXJElaLJyKQ5LUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1NRrUCQ5PcndSXYmuWSa9e9MsiPJHUluTPIjfdYjSdp7vQVFkiXAVcAZwGrg3CSrpzS7FZioqhcDnwbe11c9kqS56fOI4hRgZ1XdU1WPARuAtcMNquqmqnqkW9wMHNVjPZKkOegzKI4E7h9a3tW9N5MLgM9NtyLJuiRbk2zdvXv3fixRkjSbPoMi07xX0zZMzgMmgCunW19V66tqoqomli9fvh9LlCTNZmmP+94FrBhaPgp4YGqjJK8BLgVeWVWP9liPJGkO+jyi2AKsSnJMkkOAc4CNww2SnAh8FFhTVQ/2WIskaY56C4qqegK4CLgBuAu4rqq2J7kiyZqu2ZXA04HfS3Jbko0z7E6StED6HHqiqjYBm6a8d9nQ69f0+f0lSfvOO7MlSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ19RoUSU5PcneSnUkumWb9U5J8qlt/c5KVfdYjSdp7vQVFkiXAVcAZwGrg3CSrpzS7APh2Vb0A+FXgvX3VI0mamz6PKE4BdlbVPVX1GLABWDulzVrg493rTwOvTpIea5Ik7aWlPe77SOD+oeVdwI/O1KaqnkjyMPCDwDeHGyVZB6zrFh9NcmcvFX//WcaUvjqA2ReT7ItJ9sWkF851wz6DYrojg5pDG6pqPbAeIMnWqprY9/K+/9kXk+yLSfbFJPtiUpKtc922z6GnXcCKoeWjgAdmapNkKfBM4KEea5Ik7aU+g2ILsCrJMUkOAc4BNk5psxH4d93rs4DPV9WTjigkSQunt6Gn7pzDRcANwBLg6qranuQKYGtVbQR+C/hkkp0MjiTOGWHX6/uq+fuQfTHJvphkX0yyLybNuS/iH/CSpBbvzJYkNRkUkqSmsQ0Kp/+YNEJfvDPJjiR3JLkxyY8sRJ3zYba+GGp3VpJKsmgvjRylL5K8ufu/sT3JNfNd43wZ4Wfk6CQ3Jbm1+zk5cyHq7FuSq5M8ONO9Zhn4YNdPdyQ5aaQdV9XYfTE4+f1V4HnAIcDtwOopbf4D8JHu9TnApxa67gXsi1OBp3Wvf/ZA7ouu3eHAF4HNwMRC172A/y9WAbcCz+6Wn7PQdS9gX6wHfrZ7vRq4d6Hr7qkvXgGcBNw5w/ozgc8xuIftZcDNo+x3XI8onP5j0qx9UVU3VdUj3eJmBvesLEaj/L8A+CXgfcA/z2dx82yUvrgQuKqqvg1QVQ/Oc43zZZS+KOAZ3etn8uR7uhaFqvoi7XvR1gKfqIHNwLOSHDHbfsc1KKab/uPImdpU1RPAnuk/FptR+mLYBQz+YliMZu2LJCcCK6rqj+ezsAUwyv+LY4Fjk/xFks1JTp+36ubXKH1xOXBekl3AJuDt81Pa2Nnb3ydAv1N47Iv9Nv3HIjDy50xyHjABvLLXihZOsy+SHMRgFuLz56ugBTTK/4ulDIafXsXgKPNLSY6vqu/0XNt8G6UvzgU+VlXvT/JjDO7fOr6q/m//5Y2VOf3eHNcjCqf/mDRKX5DkNcClwJqqenSeaptvs/XF4cDxwBeS3MtgDHbjIj2hPerPyGeq6vGq+hpwN4PgWGxG6YsLgOsAquovgUMZTBh4oBnp98lU4xoUTv8xada+6IZbPsogJBbrODTM0hdV9XBVLauqlVW1ksH5mjVVNefJ0MbYKD8jf8TgQgeSLGMwFHXPvFY5P0bpi68DrwZI8iIGQbF7XqscDxuBt3ZXP70MeLiq/na2jcZy6Kn6m/7j+86IfXEl8HTg97rz+V+vqjULVnRPRuyLA8KIfXED8G+T7AC+B1xcVd9auKr7MWJfvAv4X0l+jsFQy/mL8Q/LJNcyGGpc1p2P+UXgYICq+giD8zNnAjuBR4C3jbTfRdhXkqT9aFyHniRJY8KgkCQ1GRSSpCaDQpLUZFBIkpoMCi0qSX4oyYYkX+1mTd2U5Nh93OemJM+a47avS7J6jttdNuW927vLH4ff++UkPzmX2qRRGRRaNLpJIf8Q+EJVPb+qVgP/GXjuiNsvmbq/JAdV1Zn7MO3F6xjMVrq33g18aKiWFzH4eX1FksOG2v06MON069L+YFBoMTkVeLy7sQiAqrqtqr7U/dK/MsmdSb6S5GyAJK/qnlNwDfCVJCuT3JXkQ8BfASuS3Nvd2UyS85LckuS2JB/dEy5J/iHJf+v+6t+c5LlJfhxYA1zZtX9+93V9km1JvpTkuKkfojsCerSqvjn09luATwJ/2u1zz+e7D/jBJD+0f7tSmmRQaDE5Htg2w7o3ACcALwFew+CX957plU8BLu2OQABeyGAq5hO7X8TAv/xVfzbw8qo6gcHdzj/TrT4M2FxVL2HwLIwLq+rLDKZMuLiqTqiqrzJ4LsLbq+qlwM8zdNQw5OUMQmrY2cCngGsZTHA37K+6baRejOUUHlIPfgK4tqq+B/yfJH8OnAx8F7ilmzRvj/u6ufqnejXwUmBLN1XKU4E9c2s9BuyZ2nwbcNrUjZM8HfhxJqdaAXjKNN/nCIbmIUpyMrC7qu7rpmW4Osmz9zxnoqvhh1sfXtoXBoUWk+0MJoicTuuhVv84y/LwPj5eVe+ZZt3jQ3MHfY/pf7YOAr7THY20/BOD2ZD3OBc4rpsRFwYP4Hkj8Jvd8qHdNlIvHHrSYvJ54ClJLtzzRpKTk7ySwXDQ2UmWJFnO4JGRt+zl/m8EzkrynG7fP5DZn0/+9wymP6eqvgt8Lcmbuu2T5CXTbHMX8IKuzUHAm4AXD82Ku5b/f/jpWGDaZyRL+4NBoUWj+4v+9cBp3eWx2xk82ewBBldD3cHgecqfB95dVX+3l/vfAfwC8KdJ7gD+N4NhopYNwMVJbk3yfAbnNC5IcjuDI6DpHuX6ReDE7iquVwDfqKpvTFm/OskRSQ5mECqLcSp1jQlnj5XGUJIPAJ+tqj+bpd3rgZOq6r/MT2U6EHlEIY2n/w48bYR2S4H391yLDnAeUUiSmjyikCQ1GRSSpCaDQpLUZFBIkpoMCklS0/8Dc5+zHKOBZ/oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "IN_T = np.int_(processEXP3['Temperature(°C)'])\n",
    "IN_H = np.int_(processEXP3['Humedad(%)'])\n",
    "IN_V = np.float_(processEXP3['Voltage(V)'])/100\n",
    "IN_I = np.float_(processEXP3['Current(A)'])/100\n",
    "plt.scatter(IN_I,IN_V)\n",
    "plt.plot(np.mean(IN_I),np.mean(IN_V),'rs',c='red')\n",
    "plt.figure()\n",
    "plt.hist(IN_V)\n",
    "plt.figure()\n",
    "plt.hist(IN_I)\n",
    "plt.figure()\n",
    "plt.ylabel('Voltaje (V)')\n",
    "plt.xlabel('Corriente (A)')\n",
    "#plt.plot(IN_I,IN_V,c='green')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.52"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "idx = np.unravel_index(np.argsort(IN_V, axis=None), IN_V.shape)\n",
    "plt.scatter(IN_I[idx],IN_V[idx],c='red')\n",
    "plt.plot([np.min(IN_I),np.mean(IN_I),np.max(IN_I)],[np.min(IN_V),np.mean(IN_V),np.max(IN_V)])\n",
    "#plt.Circle(1,2)\n",
    "np.min(IN_I)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1ecbd1b6e48>]"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([np.min(IN_I),np.max(IN_I)],[np.min(IN_V),np.max(IN_V)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "def func(x, a, b, c):\n",
    "    return a * np.exp(-b * x) + c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1ecbf1db9b0>"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "popt_03, pcov_03 = curve_fit(func,IN_I,IN_V)\n",
    "newx = np.linspace(np.min(IN_I), np.max(IN_I), 100)\n",
    "plt.scatter(IN_I,IN_V,c='blue',label='Datos I-V')\n",
    "plt.plot(newx, func(newx, *popt_03), 'r-',label='fitted: a=%5.3f, b=%5.3f, c=%5.3f' % tuple(popt_03))\n",
    "#popt_03, pcov_03 = curve_fit(func, IN_I, IN_V, bounds=(0, [3., 1., 0.5]))\n",
    "#plt.plot(IN_I, func(IN_I, *popt_03), 'g--',label='fit: a=%5.3f, b=%5.3f, c=%5.3f' % tuple(popt_03))\n",
    "plt.ylabel('Voltaje (V)')\n",
    "plt.xlabel('Corriente (I)')\n",
    "plt.title('Caracterización resistencias en serie')\n",
    "plt.legend()\n",
    "#plt.savefig('Solar_incubator_EXP03.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4.36249904e+08, 8.58365026e+04, 4.36442999e+02],\n",
       "       [8.58365026e+04, 1.69000242e+01, 8.64184715e-02],\n",
       "       [4.36442999e+02, 8.64184715e-02, 4.72105864e-04]])"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pcov_03"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Resultados Experimentos 1.\n",
      "     Temperature(°C)  Humedad(%)  Voltage(V)  Current(A)\n",
      "0                0.0         0.0         0.0         0.0\n",
      "1                0.0         0.0         0.0         0.0\n",
      "2                0.0         0.0         0.0         0.0\n",
      "3                0.0         0.0         0.0         0.0\n",
      "4                0.0         0.0         0.0         0.0\n",
      "5                0.0         0.0         0.0         0.0\n",
      "6                0.0         0.0         0.0         0.0\n",
      "7                0.0         0.0         0.0         0.0\n",
      "8                0.0         0.0         0.0         0.0\n",
      "9                0.0         0.0         0.0         0.0\n",
      "10               0.0         0.0         0.0         0.0\n",
      "11               0.0         0.0         0.0         0.0\n",
      "12               0.0         0.0         0.0         0.0\n",
      "13               0.0         0.0         0.0         0.0\n",
      "14               0.0         0.0         0.0         0.0\n",
      "15               0.0         0.0         0.0         0.0\n",
      "16               0.0         0.0         0.0         0.0\n",
      "17               0.0         0.0         0.0         0.0\n",
      "18               0.0         0.0         0.0         0.0\n",
      "19               0.0         0.0         0.0         0.0\n",
      "20               0.0         0.0         0.0         0.0\n",
      "21               0.0         0.0         0.0         0.0\n",
      "22               0.0         0.0         0.0         0.0\n",
      "23               0.0         0.0         0.0         0.0\n",
      "24               0.0         0.0         0.0         0.0\n",
      "25               0.0         0.0         0.0         0.0\n",
      "26               0.0         0.0         0.0         0.0\n",
      "27               0.0         0.0         0.0         0.0\n",
      "28               0.0         0.0         0.0         0.0\n",
      "29               0.0         0.0         0.0         0.0\n",
      "..               ...         ...         ...         ...\n",
      "170              0.0         0.0         0.0         0.0\n",
      "171              0.0         0.0         0.0         0.0\n",
      "172              0.0         0.0         0.0         0.0\n",
      "173              0.0         0.0         0.0         0.0\n",
      "174              0.0         0.0         0.0         0.0\n",
      "175              0.0         0.0         0.0         0.0\n",
      "176              0.0         0.0         0.0         0.0\n",
      "177              0.0         0.0         0.0         0.0\n",
      "178              0.0         0.0         0.0         0.0\n",
      "179              0.0         0.0         0.0         0.0\n",
      "180              0.0         0.0         0.0         0.0\n",
      "181              0.0         0.0         0.0         0.0\n",
      "182              0.0         0.0         0.0         0.0\n",
      "183              0.0         0.0         0.0         0.0\n",
      "184              0.0         0.0         0.0         0.0\n",
      "185              0.0         0.0         0.0         0.0\n",
      "186              0.0         0.0         0.0         0.0\n",
      "187              0.0         0.0         0.0         0.0\n",
      "188              0.0         0.0         0.0         0.0\n",
      "189              0.0         0.0         0.0         0.0\n",
      "190              0.0         0.0         0.0         0.0\n",
      "191              0.0         0.0         0.0         0.0\n",
      "192              0.0         0.0         0.0         0.0\n",
      "193              0.0         0.0         0.0         0.0\n",
      "194              0.0         0.0         0.0         0.0\n",
      "195              0.0         0.0         0.0         0.0\n",
      "196              0.0         0.0         0.0         0.0\n",
      "197              0.0         0.0         0.0         0.0\n",
      "198              0.0         0.0         0.0         0.0\n",
      "199              0.0         0.0         0.0         0.0\n",
      "\n",
      "[200 rows x 4 columns]\n",
      "      \n",
      "Resultados Experimentos 2.\n",
      "     Temperature(°C)  Humedad(%)  Voltage(V)  Current(A)\n",
      "0                0.0         0.0         0.0         0.0\n",
      "1                0.0         0.0         0.0         0.0\n",
      "2                0.0         0.0         0.0         0.0\n",
      "3                0.0         0.0         0.0         0.0\n",
      "4                0.0         0.0         0.0         0.0\n",
      "5                0.0         0.0         0.0         0.0\n",
      "6                0.0         0.0         0.0         0.0\n",
      "7                0.0         0.0         0.0         0.0\n",
      "8                0.0         0.0         0.0         0.0\n",
      "9                0.0         0.0         0.0         0.0\n",
      "10               0.0         0.0         0.0         0.0\n",
      "11               0.0         0.0         0.0         0.0\n",
      "12               0.0         0.0         0.0         0.0\n",
      "13               0.0         0.0         0.0         0.0\n",
      "14               0.0         0.0         0.0         0.0\n",
      "15               0.0         0.0         0.0         0.0\n",
      "16               0.0         0.0         0.0         0.0\n",
      "17               0.0         0.0         0.0         0.0\n",
      "18               0.0         0.0         0.0         0.0\n",
      "19               0.0         0.0         0.0         0.0\n",
      "20               0.0         0.0         0.0         0.0\n",
      "21               0.0         0.0         0.0         0.0\n",
      "22               0.0         0.0         0.0         0.0\n",
      "23               0.0         0.0         0.0         0.0\n",
      "24               0.0         0.0         0.0         0.0\n",
      "25               0.0         0.0         0.0         0.0\n",
      "26               0.0         0.0         0.0         0.0\n",
      "27               0.0         0.0         0.0         0.0\n",
      "28               0.0         0.0         0.0         0.0\n",
      "29               0.0         0.0         0.0         0.0\n",
      "..               ...         ...         ...         ...\n",
      "170              0.0         0.0         0.0         0.0\n",
      "171              0.0         0.0         0.0         0.0\n",
      "172              0.0         0.0         0.0         0.0\n",
      "173              0.0         0.0         0.0         0.0\n",
      "174              0.0         0.0         0.0         0.0\n",
      "175              0.0         0.0         0.0         0.0\n",
      "176              0.0         0.0         0.0         0.0\n",
      "177              0.0         0.0         0.0         0.0\n",
      "178              0.0         0.0         0.0         0.0\n",
      "179              0.0         0.0         0.0         0.0\n",
      "180              0.0         0.0         0.0         0.0\n",
      "181              0.0         0.0         0.0         0.0\n",
      "182              0.0         0.0         0.0         0.0\n",
      "183              0.0         0.0         0.0         0.0\n",
      "184              0.0         0.0         0.0         0.0\n",
      "185              0.0         0.0         0.0         0.0\n",
      "186              0.0         0.0         0.0         0.0\n",
      "187              0.0         0.0         0.0         0.0\n",
      "188              0.0         0.0         0.0         0.0\n",
      "189              0.0         0.0         0.0         0.0\n",
      "190              0.0         0.0         0.0         0.0\n",
      "191              0.0         0.0         0.0         0.0\n",
      "192              0.0         0.0         0.0         0.0\n",
      "193              0.0         0.0         0.0         0.0\n",
      "194              0.0         0.0         0.0         0.0\n",
      "195              0.0         0.0         0.0         0.0\n",
      "196              0.0         0.0         0.0         0.0\n",
      "197              0.0         0.0         0.0         0.0\n",
      "198              0.0         0.0         0.0         0.0\n",
      "199              0.0         0.0         0.0         0.0\n",
      "\n",
      "[200 rows x 4 columns]\n",
      "      \n",
      "Resultados Experimentos 3.\n",
      "     Temperature(°C)  Humedad(%)  Voltage(V)  Current(A)\n",
      "0                0.0         0.0         0.0         0.0\n",
      "1                0.0         0.0         0.0         0.0\n",
      "2                0.0         0.0         0.0         0.0\n",
      "3                0.0         0.0         0.0         0.0\n",
      "4                0.0         0.0         0.0         0.0\n",
      "5                0.0         0.0         0.0         0.0\n",
      "6                0.0         0.0         0.0         0.0\n",
      "7                0.0         0.0         0.0         0.0\n",
      "8                0.0         0.0         0.0         0.0\n",
      "9                0.0         0.0         0.0         0.0\n",
      "10               0.0         0.0         0.0         0.0\n",
      "11               0.0         0.0         0.0         0.0\n",
      "12               0.0         0.0         0.0         0.0\n",
      "13               0.0         0.0         0.0         0.0\n",
      "14               0.0         0.0         0.0         0.0\n",
      "15               0.0         0.0         0.0         0.0\n",
      "16               0.0         0.0         0.0         0.0\n",
      "17               0.0         0.0         0.0         0.0\n",
      "18               0.0         0.0         0.0         0.0\n",
      "19               0.0         0.0         0.0         0.0\n",
      "20               0.0         0.0         0.0         0.0\n",
      "21               0.0         0.0         0.0         0.0\n",
      "22               0.0         0.0         0.0         0.0\n",
      "23               0.0         0.0         0.0         0.0\n",
      "24               0.0         0.0         0.0         0.0\n",
      "25               0.0         0.0         0.0         0.0\n",
      "26               0.0         0.0         0.0         0.0\n",
      "27               0.0         0.0         0.0         0.0\n",
      "28               0.0         0.0         0.0         0.0\n",
      "29               0.0         0.0         0.0         0.0\n",
      "..               ...         ...         ...         ...\n",
      "170              0.0         0.0         0.0         0.0\n",
      "171              0.0         0.0         0.0         0.0\n",
      "172              0.0         0.0         0.0         0.0\n",
      "173              0.0         0.0         0.0         0.0\n",
      "174              0.0         0.0         0.0         0.0\n",
      "175              0.0         0.0         0.0         0.0\n",
      "176              0.0         0.0         0.0         0.0\n",
      "177              0.0         0.0         0.0         0.0\n",
      "178              0.0         0.0         0.0         0.0\n",
      "179              0.0         0.0         0.0         0.0\n",
      "180              0.0         0.0         0.0         0.0\n",
      "181              0.0         0.0         0.0         0.0\n",
      "182              0.0         0.0         0.0         0.0\n",
      "183              0.0         0.0         0.0         0.0\n",
      "184              0.0         0.0         0.0         0.0\n",
      "185              0.0         0.0         0.0         0.0\n",
      "186              0.0         0.0         0.0         0.0\n",
      "187              0.0         0.0         0.0         0.0\n",
      "188              0.0         0.0         0.0         0.0\n",
      "189              0.0         0.0         0.0         0.0\n",
      "190              0.0         0.0         0.0         0.0\n",
      "191              0.0         0.0         0.0         0.0\n",
      "192              0.0         0.0         0.0         0.0\n",
      "193              0.0         0.0         0.0         0.0\n",
      "194              0.0         0.0         0.0         0.0\n",
      "195              0.0         0.0         0.0         0.0\n",
      "196              0.0         0.0         0.0         0.0\n",
      "197              0.0         0.0         0.0         0.0\n",
      "198              0.0         0.0         0.0         0.0\n",
      "199              0.0         0.0         0.0         0.0\n",
      "\n",
      "[200 rows x 4 columns]\n"
     ]
    }
   ],
   "source": [
    "print(\"Resultados Experimentos 1.\")\n",
    "print(DATAadqEXP1)\n",
    "print(\"      \")\n",
    "print(\"Resultados Experimentos 2.\")\n",
    "print(DATAadqEXP2)\n",
    "print(\"      \")\n",
    "print(\"Resultados Experimentos 3.\")\n",
    "print(DATAadqEXP3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fin...."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adquicisión asistida"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-61-702109bbbf87>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mwhile\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mADQassist\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marduino\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"utf-8\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m     \u001b[0mtime\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      6\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mcv2\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwaitKey\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m&\u001b[0m \u001b[1;36m0xFF\u001b[0m \u001b[1;33m==\u001b[0m \u001b[0mord\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'q'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      7\u001b[0m         \u001b[1;32mbreak\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "ADQassist = []\n",
    "arduino = serial.Serial('COM3', 9600)\n",
    "while(True):\n",
    "    ADQassist.append(arduino.readline().decode(\"utf-8\"))\n",
    "    time.sleep(1)\n",
    "    if cv2.waitKey(1) & 0xFF == ord('q'):\n",
    "        break\n",
    "arduino.close()\n",
    "print(ADQassist)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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