data/2023-01-03-sensor-testing/standing-still.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Testing different motion sensors\n",
    "\n",
    "Here the aim is to look at the different directions. I performed the following sequence: \n",
    "\n",
    "1. phone lying still on table\n",
    "2. Put phone on chest\n",
    "3. Back-forth motion x10\n",
    "4. Sideways motion (left-right) x10\n",
    "5. Up-down motion x10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing libraries needed to run the rest of the notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy.signal import savgol_filter\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FormatStrFormatter\n",
    "from scipy.signal import savgol_filter\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Read and check Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reading CSV files from [Physics Toolbox Sensor Suite](https://play.google.com/store/apps/dev?id=6483394247866966083&hl=en) by [Vieyra Software](https://www.vieyrasoftware.net/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "filename = '2023-01-0312.22.56.csv'\n",
    "data = pd.read_csv(filename, delimiter=';',decimal=',',index_col=0, low_memory=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check files\n",
    "\n",
    "Before moving on we should briefly check what we have imported."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>gFx</th>\n",
       "      <th>gFy</th>\n",
       "      <th>gFz</th>\n",
       "      <th>ax</th>\n",
       "      <th>ay</th>\n",
       "      <th>az</th>\n",
       "      <th>wx</th>\n",
       "      <th>wy</th>\n",
       "      <th>wz</th>\n",
       "      <th>p</th>\n",
       "      <th>...</th>\n",
       "      <th>Bz</th>\n",
       "      <th>I</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Pitch</th>\n",
       "      <th>Roll</th>\n",
       "      <th>Gain</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Speed (m/s)</th>\n",
       "      <th>Unnamed: 22</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.052373</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.052657</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.052815</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,1873</td>\n",
       "      <td>−0,4752</td>\n",
       "      <td>−0,2676</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.064592</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,1873</td>\n",
       "      <td>−0,4752</td>\n",
       "      <td>−0,2676</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.103328</th>\n",
       "      <td>−0,0015</td>\n",
       "      <td>−0,0454</td>\n",
       "      <td>0,9948</td>\n",
       "      <td>0,1873</td>\n",
       "      <td>−0,4752</td>\n",
       "      <td>−0,2676</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.366105</th>\n",
       "      <td>−0,1268</td>\n",
       "      <td>0,0022</td>\n",
       "      <td>1,0420</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−36,0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.366891</th>\n",
       "      <td>−0,0955</td>\n",
       "      <td>−0,0198</td>\n",
       "      <td>1,0603</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−36,0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.386105</th>\n",
       "      <td>0,0579</td>\n",
       "      <td>−0,0134</td>\n",
       "      <td>0,9062</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−36,0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.386908</th>\n",
       "      <td>0,0579</td>\n",
       "      <td>−0,0134</td>\n",
       "      <td>0,9062</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−35,2800</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.387404</th>\n",
       "      <td>0,0579</td>\n",
       "      <td>−0,0134</td>\n",
       "      <td>0,9062</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−35,2800</td>\n",
       "      <td>28.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22668 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                gFx      gFy     gFz       ax       ay       az      wx  \\\n",
       "time                                                                      \n",
       "0.052373     0,0134  −0,0452  0,9733   0,0000   0,0000   0,0000  0,0000   \n",
       "0.052657     0,0134  −0,0452  0,9733   0,0000   0,0000   0,0000  0,0386   \n",
       "0.052815     0,0134  −0,0452  0,9733   0,1873  −0,4752  −0,2676  0,0386   \n",
       "0.064592     0,0134  −0,0452  0,9733   0,1873  −0,4752  −0,2676  0,0386   \n",
       "0.103328    −0,0015  −0,0454  0,9948   0,1873  −0,4752  −0,2676  0,0386   \n",
       "...             ...      ...     ...      ...      ...      ...     ...   \n",
       "133.366105  −0,1268   0,0022  1,0420  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.366891  −0,0955  −0,0198  1,0603  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.386105   0,0579  −0,0134  0,9062  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.386908   0,0579  −0,0134  0,9062  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.387404   0,0579  −0,0134  0,9062  −0,6307   0,1668   0,4251  0,0539   \n",
       "\n",
       "                wy       wz          p  ...        Bz     I  Azimuth   Pitch  \\\n",
       "time                                    ...                                    \n",
       "0.052373    0,0000   0,0000     0.0000  ...    0,0000   0.0    0.000  0,0000   \n",
       "0.052657    0,0472  −0,0060     0.0000  ...    0,0000   0.0    0.000  0,0000   \n",
       "0.052815    0,0472  −0,0060     0.0000  ...    0,0000   0.0    0.000  0,0000   \n",
       "0.064592    0,0472  −0,0060     0.0000  ...    0,0000  19.0    0.000  0,0000   \n",
       "0.103328    0,0472  −0,0060     0.0000  ...    0,0000  19.0    0.000  0,0000   \n",
       "...            ...      ...        ...  ...       ...   ...      ...     ...   \n",
       "133.366105  0,3606   0,0302  1013.4795  ...  −36,0000  26.0  217.783  0,8485   \n",
       "133.366891  0,3606   0,0302  1013.4795  ...  −36,0000  26.0  217.783  0,8485   \n",
       "133.386105  0,3606   0,0302  1013.4795  ...  −36,0000  26.0  217.783  0,8485   \n",
       "133.386908  0,3606   0,0302  1013.4795  ...  −35,2800  26.0  217.783  0,8485   \n",
       "133.387404  0,3606   0,0302  1013.4795  ...  −35,2800  28.0  217.783  0,8485   \n",
       "\n",
       "               Roll     Gain   Latitude  Longitude  Speed (m/s)  Unnamed: 22  \n",
       "time                                                                          \n",
       "0.052373     0,0000       −∞   0.000000   0.000000          0.0          NaN  \n",
       "0.052657     0,0000       −∞  59.932345  10.718662          0.0          NaN  \n",
       "0.052815     0,0000       −∞  59.932345  10.718662          0.0          NaN  \n",
       "0.064592     0,0000       −∞  59.932345  10.718662          0.0          NaN  \n",
       "0.103328     0,0000       −∞  59.932345  10.718662          0.0          NaN  \n",
       "...             ...      ...        ...        ...          ...          ...  \n",
       "133.366105  −3,5774  48,1502  59.932744  10.718783          0.0          NaN  \n",
       "133.366891  −3,5774  48,1502  59.932744  10.718783          0.0          NaN  \n",
       "133.386105  −3,5774  48,1502  59.932744  10.718783          0.0          NaN  \n",
       "133.386908  −3,5774  48,1502  59.932744  10.718783          0.0          NaN  \n",
       "133.387404  −3,5774  48,1502  59.932744  10.718783          0.0          NaN  \n",
       "\n",
       "[22668 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is one column too much, due to a semicolon at the end of the file. Therefore, we remove the extra column like this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>gFx</th>\n",
       "      <th>gFy</th>\n",
       "      <th>gFz</th>\n",
       "      <th>ax</th>\n",
       "      <th>ay</th>\n",
       "      <th>az</th>\n",
       "      <th>wx</th>\n",
       "      <th>wy</th>\n",
       "      <th>wz</th>\n",
       "      <th>p</th>\n",
       "      <th>...</th>\n",
       "      <th>By</th>\n",
       "      <th>Bz</th>\n",
       "      <th>I</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Pitch</th>\n",
       "      <th>Roll</th>\n",
       "      <th>Gain</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Speed (m/s)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.052373</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.052657</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.052815</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,1873</td>\n",
       "      <td>−0,4752</td>\n",
       "      <td>−0,2676</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.064592</th>\n",
       "      <td>0,0134</td>\n",
       "      <td>−0,0452</td>\n",
       "      <td>0,9733</td>\n",
       "      <td>0,1873</td>\n",
       "      <td>−0,4752</td>\n",
       "      <td>−0,2676</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.103328</th>\n",
       "      <td>−0,0015</td>\n",
       "      <td>−0,0454</td>\n",
       "      <td>0,9948</td>\n",
       "      <td>0,1873</td>\n",
       "      <td>−0,4752</td>\n",
       "      <td>−0,2676</td>\n",
       "      <td>0,0386</td>\n",
       "      <td>0,0472</td>\n",
       "      <td>−0,0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>0,0000</td>\n",
       "      <td>−∞</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.366105</th>\n",
       "      <td>−0,1268</td>\n",
       "      <td>0,0022</td>\n",
       "      <td>1,0420</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−6,3000</td>\n",
       "      <td>−36,0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.366891</th>\n",
       "      <td>−0,0955</td>\n",
       "      <td>−0,0198</td>\n",
       "      <td>1,0603</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−6,3000</td>\n",
       "      <td>−36,0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.386105</th>\n",
       "      <td>0,0579</td>\n",
       "      <td>−0,0134</td>\n",
       "      <td>0,9062</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−6,3000</td>\n",
       "      <td>−36,0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.386908</th>\n",
       "      <td>0,0579</td>\n",
       "      <td>−0,0134</td>\n",
       "      <td>0,9062</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−6,4200</td>\n",
       "      <td>−35,2800</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.387404</th>\n",
       "      <td>0,0579</td>\n",
       "      <td>−0,0134</td>\n",
       "      <td>0,9062</td>\n",
       "      <td>−0,6307</td>\n",
       "      <td>0,1668</td>\n",
       "      <td>0,4251</td>\n",
       "      <td>0,0539</td>\n",
       "      <td>0,3606</td>\n",
       "      <td>0,0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>−6,4200</td>\n",
       "      <td>−35,2800</td>\n",
       "      <td>28.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0,8485</td>\n",
       "      <td>−3,5774</td>\n",
       "      <td>48,1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22668 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                gFx      gFy     gFz       ax       ay       az      wx  \\\n",
       "time                                                                      \n",
       "0.052373     0,0134  −0,0452  0,9733   0,0000   0,0000   0,0000  0,0000   \n",
       "0.052657     0,0134  −0,0452  0,9733   0,0000   0,0000   0,0000  0,0386   \n",
       "0.052815     0,0134  −0,0452  0,9733   0,1873  −0,4752  −0,2676  0,0386   \n",
       "0.064592     0,0134  −0,0452  0,9733   0,1873  −0,4752  −0,2676  0,0386   \n",
       "0.103328    −0,0015  −0,0454  0,9948   0,1873  −0,4752  −0,2676  0,0386   \n",
       "...             ...      ...     ...      ...      ...      ...     ...   \n",
       "133.366105  −0,1268   0,0022  1,0420  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.366891  −0,0955  −0,0198  1,0603  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.386105   0,0579  −0,0134  0,9062  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.386908   0,0579  −0,0134  0,9062  −0,6307   0,1668   0,4251  0,0539   \n",
       "133.387404   0,0579  −0,0134  0,9062  −0,6307   0,1668   0,4251  0,0539   \n",
       "\n",
       "                wy       wz          p  ...       By        Bz     I  Azimuth  \\\n",
       "time                                    ...                                     \n",
       "0.052373    0,0000   0,0000     0.0000  ...   0,0000    0,0000   0.0    0.000   \n",
       "0.052657    0,0472  −0,0060     0.0000  ...   0,0000    0,0000   0.0    0.000   \n",
       "0.052815    0,0472  −0,0060     0.0000  ...   0,0000    0,0000   0.0    0.000   \n",
       "0.064592    0,0472  −0,0060     0.0000  ...   0,0000    0,0000  19.0    0.000   \n",
       "0.103328    0,0472  −0,0060     0.0000  ...   0,0000    0,0000  19.0    0.000   \n",
       "...            ...      ...        ...  ...      ...       ...   ...      ...   \n",
       "133.366105  0,3606   0,0302  1013.4795  ...  −6,3000  −36,0000  26.0  217.783   \n",
       "133.366891  0,3606   0,0302  1013.4795  ...  −6,3000  −36,0000  26.0  217.783   \n",
       "133.386105  0,3606   0,0302  1013.4795  ...  −6,3000  −36,0000  26.0  217.783   \n",
       "133.386908  0,3606   0,0302  1013.4795  ...  −6,4200  −35,2800  26.0  217.783   \n",
       "133.387404  0,3606   0,0302  1013.4795  ...  −6,4200  −35,2800  28.0  217.783   \n",
       "\n",
       "             Pitch     Roll     Gain   Latitude  Longitude  Speed (m/s)  \n",
       "time                                                                     \n",
       "0.052373    0,0000   0,0000       −∞   0.000000   0.000000          0.0  \n",
       "0.052657    0,0000   0,0000       −∞  59.932345  10.718662          0.0  \n",
       "0.052815    0,0000   0,0000       −∞  59.932345  10.718662          0.0  \n",
       "0.064592    0,0000   0,0000       −∞  59.932345  10.718662          0.0  \n",
       "0.103328    0,0000   0,0000       −∞  59.932345  10.718662          0.0  \n",
       "...            ...      ...      ...        ...        ...          ...  \n",
       "133.366105  0,8485  −3,5774  48,1502  59.932744  10.718783          0.0  \n",
       "133.366891  0,8485  −3,5774  48,1502  59.932744  10.718783          0.0  \n",
       "133.386105  0,8485  −3,5774  48,1502  59.932744  10.718783          0.0  \n",
       "133.386908  0,8485  −3,5774  48,1502  59.932744  10.718783          0.0  \n",
       "133.387404  0,8485  −3,5774  48,1502  59.932744  10.718783          0.0  \n",
       "\n",
       "[22668 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.drop(data.columns[21],axis=1)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us just check what data types we have read in: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gFx             object\n",
       "gFy             object\n",
       "gFz             object\n",
       "ax              object\n",
       "ay              object\n",
       "az              object\n",
       "wx              object\n",
       "wy              object\n",
       "wz              object\n",
       "p              float64\n",
       "Bx              object\n",
       "By              object\n",
       "Bz              object\n",
       "I              float64\n",
       "Azimuth        float64\n",
       "Pitch           object\n",
       "Roll            object\n",
       "Gain            object\n",
       "Latitude       float64\n",
       "Longitude      float64\n",
       "Speed (m/s)    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is obviously something wrong, since only one column has loaded with float values. By visual inspection we see that the minus signs are coded with a − (n-dash) instead of hyphen. This makes the importer fail, so that the decimal marker has not properly been changed from comma (,) to dot (.). So we need to change this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>gFx</th>\n",
       "      <th>gFy</th>\n",
       "      <th>gFz</th>\n",
       "      <th>ax</th>\n",
       "      <th>ay</th>\n",
       "      <th>az</th>\n",
       "      <th>wx</th>\n",
       "      <th>wy</th>\n",
       "      <th>wz</th>\n",
       "      <th>p</th>\n",
       "      <th>...</th>\n",
       "      <th>By</th>\n",
       "      <th>Bz</th>\n",
       "      <th>I</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Pitch</th>\n",
       "      <th>Roll</th>\n",
       "      <th>Gain</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Speed (m/s)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.052373</th>\n",
       "      <td>0.0134</td>\n",
       "      <td>-0.0452</td>\n",
       "      <td>0.9733</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.052657</th>\n",
       "      <td>0.0134</td>\n",
       "      <td>-0.0452</td>\n",
       "      <td>0.9733</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>0.0472</td>\n",
       "      <td>-0.0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.052815</th>\n",
       "      <td>0.0134</td>\n",
       "      <td>-0.0452</td>\n",
       "      <td>0.9733</td>\n",
       "      <td>0.1873</td>\n",
       "      <td>-0.4752</td>\n",
       "      <td>-0.2676</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>0.0472</td>\n",
       "      <td>-0.0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.064592</th>\n",
       "      <td>0.0134</td>\n",
       "      <td>-0.0452</td>\n",
       "      <td>0.9733</td>\n",
       "      <td>0.1873</td>\n",
       "      <td>-0.4752</td>\n",
       "      <td>-0.2676</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>0.0472</td>\n",
       "      <td>-0.0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.103328</th>\n",
       "      <td>-0.0015</td>\n",
       "      <td>-0.0454</td>\n",
       "      <td>0.9948</td>\n",
       "      <td>0.1873</td>\n",
       "      <td>-0.4752</td>\n",
       "      <td>-0.2676</td>\n",
       "      <td>0.0386</td>\n",
       "      <td>0.0472</td>\n",
       "      <td>-0.0060</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>-0</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.366105</th>\n",
       "      <td>-0.1268</td>\n",
       "      <td>0.0022</td>\n",
       "      <td>1.0420</td>\n",
       "      <td>-0.6307</td>\n",
       "      <td>0.1668</td>\n",
       "      <td>0.4251</td>\n",
       "      <td>0.0539</td>\n",
       "      <td>0.3606</td>\n",
       "      <td>0.0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.3000</td>\n",
       "      <td>-36.0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0.8485</td>\n",
       "      <td>-3.5774</td>\n",
       "      <td>48.1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.366891</th>\n",
       "      <td>-0.0955</td>\n",
       "      <td>-0.0198</td>\n",
       "      <td>1.0603</td>\n",
       "      <td>-0.6307</td>\n",
       "      <td>0.1668</td>\n",
       "      <td>0.4251</td>\n",
       "      <td>0.0539</td>\n",
       "      <td>0.3606</td>\n",
       "      <td>0.0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.3000</td>\n",
       "      <td>-36.0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0.8485</td>\n",
       "      <td>-3.5774</td>\n",
       "      <td>48.1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.386105</th>\n",
       "      <td>0.0579</td>\n",
       "      <td>-0.0134</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>-0.6307</td>\n",
       "      <td>0.1668</td>\n",
       "      <td>0.4251</td>\n",
       "      <td>0.0539</td>\n",
       "      <td>0.3606</td>\n",
       "      <td>0.0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.3000</td>\n",
       "      <td>-36.0000</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0.8485</td>\n",
       "      <td>-3.5774</td>\n",
       "      <td>48.1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.386908</th>\n",
       "      <td>0.0579</td>\n",
       "      <td>-0.0134</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>-0.6307</td>\n",
       "      <td>0.1668</td>\n",
       "      <td>0.4251</td>\n",
       "      <td>0.0539</td>\n",
       "      <td>0.3606</td>\n",
       "      <td>0.0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.4200</td>\n",
       "      <td>-35.2800</td>\n",
       "      <td>26.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0.8485</td>\n",
       "      <td>-3.5774</td>\n",
       "      <td>48.1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133.387404</th>\n",
       "      <td>0.0579</td>\n",
       "      <td>-0.0134</td>\n",
       "      <td>0.9062</td>\n",
       "      <td>-0.6307</td>\n",
       "      <td>0.1668</td>\n",
       "      <td>0.4251</td>\n",
       "      <td>0.0539</td>\n",
       "      <td>0.3606</td>\n",
       "      <td>0.0302</td>\n",
       "      <td>1013.4795</td>\n",
       "      <td>...</td>\n",
       "      <td>-6.4200</td>\n",
       "      <td>-35.2800</td>\n",
       "      <td>28.0</td>\n",
       "      <td>217.783</td>\n",
       "      <td>0.8485</td>\n",
       "      <td>-3.5774</td>\n",
       "      <td>48.1502</td>\n",
       "      <td>59.932744</td>\n",
       "      <td>10.718783</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22668 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                gFx      gFy     gFz       ax       ay       az      wx  \\\n",
       "time                                                                      \n",
       "0.052373     0.0134  -0.0452  0.9733   0.0000   0.0000   0.0000  0.0000   \n",
       "0.052657     0.0134  -0.0452  0.9733   0.0000   0.0000   0.0000  0.0386   \n",
       "0.052815     0.0134  -0.0452  0.9733   0.1873  -0.4752  -0.2676  0.0386   \n",
       "0.064592     0.0134  -0.0452  0.9733   0.1873  -0.4752  -0.2676  0.0386   \n",
       "0.103328    -0.0015  -0.0454  0.9948   0.1873  -0.4752  -0.2676  0.0386   \n",
       "...             ...      ...     ...      ...      ...      ...     ...   \n",
       "133.366105  -0.1268   0.0022  1.0420  -0.6307   0.1668   0.4251  0.0539   \n",
       "133.366891  -0.0955  -0.0198  1.0603  -0.6307   0.1668   0.4251  0.0539   \n",
       "133.386105   0.0579  -0.0134  0.9062  -0.6307   0.1668   0.4251  0.0539   \n",
       "133.386908   0.0579  -0.0134  0.9062  -0.6307   0.1668   0.4251  0.0539   \n",
       "133.387404   0.0579  -0.0134  0.9062  -0.6307   0.1668   0.4251  0.0539   \n",
       "\n",
       "                wy       wz          p  ...       By        Bz     I  Azimuth  \\\n",
       "time                                    ...                                     \n",
       "0.052373    0.0000   0.0000     0.0000  ...   0.0000    0.0000   0.0    0.000   \n",
       "0.052657    0.0472  -0.0060     0.0000  ...   0.0000    0.0000   0.0    0.000   \n",
       "0.052815    0.0472  -0.0060     0.0000  ...   0.0000    0.0000   0.0    0.000   \n",
       "0.064592    0.0472  -0.0060     0.0000  ...   0.0000    0.0000  19.0    0.000   \n",
       "0.103328    0.0472  -0.0060     0.0000  ...   0.0000    0.0000  19.0    0.000   \n",
       "...            ...      ...        ...  ...      ...       ...   ...      ...   \n",
       "133.366105  0.3606   0.0302  1013.4795  ...  -6.3000  -36.0000  26.0  217.783   \n",
       "133.366891  0.3606   0.0302  1013.4795  ...  -6.3000  -36.0000  26.0  217.783   \n",
       "133.386105  0.3606   0.0302  1013.4795  ...  -6.3000  -36.0000  26.0  217.783   \n",
       "133.386908  0.3606   0.0302  1013.4795  ...  -6.4200  -35.2800  26.0  217.783   \n",
       "133.387404  0.3606   0.0302  1013.4795  ...  -6.4200  -35.2800  28.0  217.783   \n",
       "\n",
       "             Pitch     Roll     Gain   Latitude  Longitude  Speed (m/s)  \n",
       "time                                                                     \n",
       "0.052373    0.0000   0.0000       -0   0.000000   0.000000          0.0  \n",
       "0.052657    0.0000   0.0000       -0  59.932345  10.718662          0.0  \n",
       "0.052815    0.0000   0.0000       -0  59.932345  10.718662          0.0  \n",
       "0.064592    0.0000   0.0000       -0  59.932345  10.718662          0.0  \n",
       "0.103328    0.0000   0.0000       -0  59.932345  10.718662          0.0  \n",
       "...            ...      ...      ...        ...        ...          ...  \n",
       "133.366105  0.8485  -3.5774  48.1502  59.932744  10.718783          0.0  \n",
       "133.366891  0.8485  -3.5774  48.1502  59.932744  10.718783          0.0  \n",
       "133.386105  0.8485  -3.5774  48.1502  59.932744  10.718783          0.0  \n",
       "133.386908  0.8485  -3.5774  48.1502  59.932744  10.718783          0.0  \n",
       "133.387404  0.8485  -3.5774  48.1502  59.932744  10.718783          0.0  \n",
       "\n",
       "[22668 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replacing n-dash with hyphen\n",
    "data=data.replace(to_replace='−', value='-',regex=True)\n",
    "# Replacing comma with dot\n",
    "data=data.replace(to_replace=',', value='.',regex=True)\n",
    "# Replacing comma with dot\n",
    "data=data.replace(to_replace='∞', value='0',regex=True)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gFx            float64\n",
       "gFy            float64\n",
       "gFz            float64\n",
       "ax             float64\n",
       "ay             float64\n",
       "az             float64\n",
       "wx             float64\n",
       "wy             float64\n",
       "wz             float64\n",
       "p              float64\n",
       "Bx             float64\n",
       "By             float64\n",
       "Bz             float64\n",
       "I              float64\n",
       "Azimuth        float64\n",
       "Pitch          float64\n",
       "Roll           float64\n",
       "Gain           float64\n",
       "Latitude       float64\n",
       "Longitude      float64\n",
       "Speed (m/s)    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now that the data should have been formatted correctly, we can change to float64\n",
    "data=data.astype(float)\n",
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we should be ready to go. Let us just check the sampling rate first."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "169.9410837922897"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The sampling rate is the total number of samples divided by time\n",
    "sr = len(data)/data.index[-1]\n",
    "sr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting an overview of the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can look at some basic descriptive statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>gFx</th>\n",
       "      <th>gFy</th>\n",
       "      <th>gFz</th>\n",
       "      <th>ax</th>\n",
       "      <th>ay</th>\n",
       "      <th>az</th>\n",
       "      <th>wx</th>\n",
       "      <th>wy</th>\n",
       "      <th>wz</th>\n",
       "      <th>p</th>\n",
       "      <th>...</th>\n",
       "      <th>By</th>\n",
       "      <th>Bz</th>\n",
       "      <th>I</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Pitch</th>\n",
       "      <th>Roll</th>\n",
       "      <th>Gain</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Speed (m/s)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.000000</td>\n",
       "      <td>22668.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-0.577451</td>\n",
       "      <td>0.036960</td>\n",
       "      <td>0.506730</td>\n",
       "      <td>-0.064699</td>\n",
       "      <td>-0.016125</td>\n",
       "      <td>0.002814</td>\n",
       "      <td>-0.004517</td>\n",
       "      <td>0.001681</td>\n",
       "      <td>-0.000253</td>\n",
       "      <td>1012.543086</td>\n",
       "      <td>...</td>\n",
       "      <td>35.804145</td>\n",
       "      <td>-22.327536</td>\n",
       "      <td>24.209944</td>\n",
       "      <td>155.390561</td>\n",
       "      <td>-16.477420</td>\n",
       "      <td>-46.124369</td>\n",
       "      <td>54.554208</td>\n",
       "      <td>59.929791</td>\n",
       "      <td>10.717274</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.485155</td>\n",
       "      <td>0.126298</td>\n",
       "      <td>0.439871</td>\n",
       "      <td>0.803051</td>\n",
       "      <td>0.577380</td>\n",
       "      <td>0.744037</td>\n",
       "      <td>0.288165</td>\n",
       "      <td>0.431443</td>\n",
       "      <td>0.239869</td>\n",
       "      <td>29.327550</td>\n",
       "      <td>...</td>\n",
       "      <td>21.055140</td>\n",
       "      <td>15.324716</td>\n",
       "      <td>10.602155</td>\n",
       "      <td>158.068656</td>\n",
       "      <td>48.757788</td>\n",
       "      <td>38.878783</td>\n",
       "      <td>9.119932</td>\n",
       "      <td>0.398066</td>\n",
       "      <td>0.071189</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.544100</td>\n",
       "      <td>-0.470300</td>\n",
       "      <td>-0.559200</td>\n",
       "      <td>-7.724100</td>\n",
       "      <td>-5.321200</td>\n",
       "      <td>-5.000000</td>\n",
       "      <td>-2.998700</td>\n",
       "      <td>-4.727600</td>\n",
       "      <td>-2.718300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>-42.840000</td>\n",
       "      <td>-44.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-177.701500</td>\n",
       "      <td>-89.990400</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-0.989200</td>\n",
       "      <td>-0.044200</td>\n",
       "      <td>0.161700</td>\n",
       "      <td>-0.125500</td>\n",
       "      <td>-0.045200</td>\n",
       "      <td>-0.043700</td>\n",
       "      <td>-0.011500</td>\n",
       "      <td>-0.035600</td>\n",
       "      <td>-0.013400</td>\n",
       "      <td>1013.362800</td>\n",
       "      <td>...</td>\n",
       "      <td>33.360000</td>\n",
       "      <td>-37.920000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>6.805050</td>\n",
       "      <td>-4.246300</td>\n",
       "      <td>-80.327200</td>\n",
       "      <td>49.300100</td>\n",
       "      <td>59.932440</td>\n",
       "      <td>10.717245</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-0.893200</td>\n",
       "      <td>0.022200</td>\n",
       "      <td>0.271700</td>\n",
       "      <td>-0.008800</td>\n",
       "      <td>-0.002300</td>\n",
       "      <td>0.043500</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>-0.000200</td>\n",
       "      <td>-0.000200</td>\n",
       "      <td>1013.387200</td>\n",
       "      <td>...</td>\n",
       "      <td>47.400000</td>\n",
       "      <td>-16.620000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>32.054400</td>\n",
       "      <td>-2.504500</td>\n",
       "      <td>-74.435100</td>\n",
       "      <td>52.500200</td>\n",
       "      <td>59.932440</td>\n",
       "      <td>10.717245</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>-0.031000</td>\n",
       "      <td>0.071600</td>\n",
       "      <td>1.004100</td>\n",
       "      <td>0.025500</td>\n",
       "      <td>0.055400</td>\n",
       "      <td>0.074400</td>\n",
       "      <td>0.019000</td>\n",
       "      <td>0.021275</td>\n",
       "      <td>0.008600</td>\n",
       "      <td>1013.422400</td>\n",
       "      <td>...</td>\n",
       "      <td>50.460000</td>\n",
       "      <td>-11.940000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>357.782300</td>\n",
       "      <td>2.502600</td>\n",
       "      <td>-1.888000</td>\n",
       "      <td>56.499600</td>\n",
       "      <td>59.932452</td>\n",
       "      <td>10.718533</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.320500</td>\n",
       "      <td>0.849000</td>\n",
       "      <td>1.705100</td>\n",
       "      <td>5.896100</td>\n",
       "      <td>2.927900</td>\n",
       "      <td>9.481900</td>\n",
       "      <td>2.782000</td>\n",
       "      <td>3.534900</td>\n",
       "      <td>2.196100</td>\n",
       "      <td>1013.512500</td>\n",
       "      <td>...</td>\n",
       "      <td>58.140000</td>\n",
       "      <td>19.980000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>359.998700</td>\n",
       "      <td>179.884800</td>\n",
       "      <td>64.544600</td>\n",
       "      <td>96.744400</td>\n",
       "      <td>59.932876</td>\n",
       "      <td>10.719039</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                gFx           gFy           gFz            ax            ay  \\\n",
       "count  22668.000000  22668.000000  22668.000000  22668.000000  22668.000000   \n",
       "mean      -0.577451      0.036960      0.506730     -0.064699     -0.016125   \n",
       "std        0.485155      0.126298      0.439871      0.803051      0.577380   \n",
       "min       -1.544100     -0.470300     -0.559200     -7.724100     -5.321200   \n",
       "25%       -0.989200     -0.044200      0.161700     -0.125500     -0.045200   \n",
       "50%       -0.893200      0.022200      0.271700     -0.008800     -0.002300   \n",
       "75%       -0.031000      0.071600      1.004100      0.025500      0.055400   \n",
       "max        1.320500      0.849000      1.705100      5.896100      2.927900   \n",
       "\n",
       "                 az            wx            wy            wz             p  \\\n",
       "count  22668.000000  22668.000000  22668.000000  22668.000000  22668.000000   \n",
       "mean       0.002814     -0.004517      0.001681     -0.000253   1012.543086   \n",
       "std        0.744037      0.288165      0.431443      0.239869     29.327550   \n",
       "min       -5.000000     -2.998700     -4.727600     -2.718300      0.000000   \n",
       "25%       -0.043700     -0.011500     -0.035600     -0.013400   1013.362800   \n",
       "50%        0.043500      0.000100     -0.000200     -0.000200   1013.387200   \n",
       "75%        0.074400      0.019000      0.021275      0.008600   1013.422400   \n",
       "max        9.481900      2.782000      3.534900      2.196100   1013.512500   \n",
       "\n",
       "       ...            By            Bz             I       Azimuth  \\\n",
       "count  ...  22668.000000  22668.000000  22668.000000  22668.000000   \n",
       "mean   ...     35.804145    -22.327536     24.209944    155.390561   \n",
       "std    ...     21.055140     15.324716     10.602155    158.068656   \n",
       "min    ...    -42.840000    -44.040000      0.000000      0.000000   \n",
       "25%    ...     33.360000    -37.920000     19.000000      6.805050   \n",
       "50%    ...     47.400000    -16.620000     20.000000     32.054400   \n",
       "75%    ...     50.460000    -11.940000     25.000000    357.782300   \n",
       "max    ...     58.140000     19.980000    120.000000    359.998700   \n",
       "\n",
       "              Pitch          Roll          Gain      Latitude     Longitude  \\\n",
       "count  22668.000000  22668.000000  22668.000000  22668.000000  22668.000000   \n",
       "mean     -16.477420    -46.124369     54.554208     59.929791     10.717274   \n",
       "std       48.757788     38.878783      9.119932      0.398066      0.071189   \n",
       "min     -177.701500    -89.990400     -0.000000      0.000000      0.000000   \n",
       "25%       -4.246300    -80.327200     49.300100     59.932440     10.717245   \n",
       "50%       -2.504500    -74.435100     52.500200     59.932440     10.717245   \n",
       "75%        2.502600     -1.888000     56.499600     59.932452     10.718533   \n",
       "max      179.884800     64.544600     96.744400     59.932876     10.719039   \n",
       "\n",
       "       Speed (m/s)  \n",
       "count      22668.0  \n",
       "mean           0.0  \n",
       "std            0.0  \n",
       "min            0.0  \n",
       "25%            0.0  \n",
       "50%            0.0  \n",
       "75%            0.0  \n",
       "max            0.0  \n",
       "\n",
       "[8 rows x 21 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A basic plot of all the data will give us an idea about the temporal development."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,2))\n",
    "plt.plot(data);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is difficult to see exactly what is happening at the beginning and end. Since the accelerometer data may be what we are most interested in, let us only plot that data stream."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,2))\n",
    "plt.plot(data.ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that there is a lot of movement in the beginning and end. This is when I moved the mobile phone before and after the experiment. So I want to remove those parts. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_without_beginning = data.tail(-1500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_clean = data_without_beginning.head(-500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,2))\n",
    "plt.plot(data_clean.ax);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>gFx</th>\n",
       "      <th>gFy</th>\n",
       "      <th>gFz</th>\n",
       "      <th>ax</th>\n",
       "      <th>ay</th>\n",
       "      <th>az</th>\n",
       "      <th>wx</th>\n",
       "      <th>wy</th>\n",
       "      <th>wz</th>\n",
       "      <th>p</th>\n",
       "      <th>...</th>\n",
       "      <th>By</th>\n",
       "      <th>Bz</th>\n",
       "      <th>I</th>\n",
       "      <th>Azimuth</th>\n",
       "      <th>Pitch</th>\n",
       "      <th>Roll</th>\n",
       "      <th>Gain</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Speed (m/s)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9.243901</th>\n",
       "      <td>-0.0029</td>\n",
       "      <td>-0.0454</td>\n",
       "      <td>1.0044</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>-0.0125</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>1013.3711</td>\n",
       "      <td>...</td>\n",
       "      <td>34.20</td>\n",
       "      <td>-41.22</td>\n",
       "      <td>24.0</td>\n",
       "      <td>358.7321</td>\n",
       "      <td>2.5019</td>\n",
       "      <td>-0.1447</td>\n",
       "      <td>45.1197</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.261529</th>\n",
       "      <td>-0.0007</td>\n",
       "      <td>-0.0447</td>\n",
       "      <td>1.0051</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>-0.0125</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>1013.3711</td>\n",
       "      <td>...</td>\n",
       "      <td>34.20</td>\n",
       "      <td>-41.22</td>\n",
       "      <td>24.0</td>\n",
       "      <td>358.7321</td>\n",
       "      <td>2.5019</td>\n",
       "      <td>-0.1447</td>\n",
       "      <td>45.1197</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.262987</th>\n",
       "      <td>-0.0007</td>\n",
       "      <td>-0.0447</td>\n",
       "      <td>1.0051</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>-0.0125</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>1013.3711</td>\n",
       "      <td>...</td>\n",
       "      <td>33.66</td>\n",
       "      <td>-39.84</td>\n",
       "      <td>24.0</td>\n",
       "      <td>358.7321</td>\n",
       "      <td>2.5019</td>\n",
       "      <td>-0.1447</td>\n",
       "      <td>45.1197</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.263983</th>\n",
       "      <td>-0.0007</td>\n",
       "      <td>-0.0447</td>\n",
       "      <td>1.0051</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>-0.0125</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>1013.3711</td>\n",
       "      <td>...</td>\n",
       "      <td>33.66</td>\n",
       "      <td>-39.84</td>\n",
       "      <td>24.0</td>\n",
       "      <td>358.7321</td>\n",
       "      <td>2.5019</td>\n",
       "      <td>-0.1447</td>\n",
       "      <td>45.1197</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9.281162</th>\n",
       "      <td>-0.0012</td>\n",
       "      <td>-0.0452</td>\n",
       "      <td>1.0036</td>\n",
       "      <td>0.0200</td>\n",
       "      <td>-0.0125</td>\n",
       "      <td>0.0360</td>\n",
       "      <td>-0.0001</td>\n",
       "      <td>-0.0006</td>\n",
       "      <td>-0.0016</td>\n",
       "      <td>1013.3711</td>\n",
       "      <td>...</td>\n",
       "      <td>33.66</td>\n",
       "      <td>-39.84</td>\n",
       "      <td>24.0</td>\n",
       "      <td>358.7321</td>\n",
       "      <td>2.5019</td>\n",
       "      <td>-0.1447</td>\n",
       "      <td>45.1197</td>\n",
       "      <td>59.932345</td>\n",
       "      <td>10.718662</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130.425911</th>\n",
       "      <td>-0.0342</td>\n",
       "      <td>-0.0208</td>\n",
       "      <td>1.0051</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.0069</td>\n",
       "      <td>0.0582</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>-0.0005</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>1013.4539</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>-37.86</td>\n",
       "      <td>32.0</td>\n",
       "      <td>212.3244</td>\n",
       "      <td>1.1873</td>\n",
       "      <td>-1.9138</td>\n",
       "      <td>50.7538</td>\n",
       "      <td>59.932876</td>\n",
       "      <td>10.719039</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130.426420</th>\n",
       "      <td>-0.0342</td>\n",
       "      <td>-0.0208</td>\n",
       "      <td>1.0051</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.0069</td>\n",
       "      <td>0.0582</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>-0.0005</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>1013.4475</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>-37.86</td>\n",
       "      <td>32.0</td>\n",
       "      <td>212.3244</td>\n",
       "      <td>1.1873</td>\n",
       "      <td>-1.9138</td>\n",
       "      <td>50.7538</td>\n",
       "      <td>59.932876</td>\n",
       "      <td>10.719039</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130.444832</th>\n",
       "      <td>-0.0330</td>\n",
       "      <td>-0.0210</td>\n",
       "      <td>1.0054</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.0069</td>\n",
       "      <td>0.0582</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>-0.0005</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>1013.4475</td>\n",
       "      <td>...</td>\n",
       "      <td>-4.62</td>\n",
       "      <td>-37.86</td>\n",
       "      <td>32.0</td>\n",
       "      <td>212.3244</td>\n",
       "      <td>1.1873</td>\n",
       "      <td>-1.9138</td>\n",
       "      <td>50.7538</td>\n",
       "      <td>59.932876</td>\n",
       "      <td>10.719039</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130.446436</th>\n",
       "      <td>-0.0330</td>\n",
       "      <td>-0.0210</td>\n",
       "      <td>1.0054</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.0069</td>\n",
       "      <td>0.0582</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>-0.0005</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>1013.4475</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.22</td>\n",
       "      <td>-37.62</td>\n",
       "      <td>32.0</td>\n",
       "      <td>212.3244</td>\n",
       "      <td>1.1873</td>\n",
       "      <td>-1.9138</td>\n",
       "      <td>50.7538</td>\n",
       "      <td>59.932876</td>\n",
       "      <td>10.719039</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130.464429</th>\n",
       "      <td>-0.0330</td>\n",
       "      <td>-0.0210</td>\n",
       "      <td>1.0054</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.0069</td>\n",
       "      <td>0.0582</td>\n",
       "      <td>0.0008</td>\n",
       "      <td>-0.0005</td>\n",
       "      <td>0.0003</td>\n",
       "      <td>1013.4475</td>\n",
       "      <td>...</td>\n",
       "      <td>-5.22</td>\n",
       "      <td>-37.62</td>\n",
       "      <td>32.0</td>\n",
       "      <td>212.3244</td>\n",
       "      <td>1.1873</td>\n",
       "      <td>-1.9138</td>\n",
       "      <td>50.7538</td>\n",
       "      <td>59.932876</td>\n",
       "      <td>10.719039</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20668 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               gFx     gFy     gFz      ax      ay      az      wx      wy  \\\n",
       "time                                                                         \n",
       "9.243901   -0.0029 -0.0454  1.0044  0.0200 -0.0125  0.0360 -0.0001 -0.0006   \n",
       "9.261529   -0.0007 -0.0447  1.0051  0.0200 -0.0125  0.0360 -0.0001 -0.0006   \n",
       "9.262987   -0.0007 -0.0447  1.0051  0.0200 -0.0125  0.0360 -0.0001 -0.0006   \n",
       "9.263983   -0.0007 -0.0447  1.0051  0.0200 -0.0125  0.0360 -0.0001 -0.0006   \n",
       "9.281162   -0.0012 -0.0452  1.0036  0.0200 -0.0125  0.0360 -0.0001 -0.0006   \n",
       "...            ...     ...     ...     ...     ...     ...     ...     ...   \n",
       "130.425911 -0.0342 -0.0208  1.0051  0.0066  0.0069  0.0582  0.0008 -0.0005   \n",
       "130.426420 -0.0342 -0.0208  1.0051  0.0066  0.0069  0.0582  0.0008 -0.0005   \n",
       "130.444832 -0.0330 -0.0210  1.0054  0.0066  0.0069  0.0582  0.0008 -0.0005   \n",
       "130.446436 -0.0330 -0.0210  1.0054  0.0066  0.0069  0.0582  0.0008 -0.0005   \n",
       "130.464429 -0.0330 -0.0210  1.0054  0.0066  0.0069  0.0582  0.0008 -0.0005   \n",
       "\n",
       "                wz          p  ...     By     Bz     I   Azimuth   Pitch  \\\n",
       "time                           ...                                         \n",
       "9.243901   -0.0016  1013.3711  ...  34.20 -41.22  24.0  358.7321  2.5019   \n",
       "9.261529   -0.0016  1013.3711  ...  34.20 -41.22  24.0  358.7321  2.5019   \n",
       "9.262987   -0.0016  1013.3711  ...  33.66 -39.84  24.0  358.7321  2.5019   \n",
       "9.263983   -0.0016  1013.3711  ...  33.66 -39.84  24.0  358.7321  2.5019   \n",
       "9.281162   -0.0016  1013.3711  ...  33.66 -39.84  24.0  358.7321  2.5019   \n",
       "...            ...        ...  ...    ...    ...   ...       ...     ...   \n",
       "130.425911  0.0003  1013.4539  ...  -4.62 -37.86  32.0  212.3244  1.1873   \n",
       "130.426420  0.0003  1013.4475  ...  -4.62 -37.86  32.0  212.3244  1.1873   \n",
       "130.444832  0.0003  1013.4475  ...  -4.62 -37.86  32.0  212.3244  1.1873   \n",
       "130.446436  0.0003  1013.4475  ...  -5.22 -37.62  32.0  212.3244  1.1873   \n",
       "130.464429  0.0003  1013.4475  ...  -5.22 -37.62  32.0  212.3244  1.1873   \n",
       "\n",
       "              Roll     Gain   Latitude  Longitude  Speed (m/s)  \n",
       "time                                                            \n",
       "9.243901   -0.1447  45.1197  59.932345  10.718662          0.0  \n",
       "9.261529   -0.1447  45.1197  59.932345  10.718662          0.0  \n",
       "9.262987   -0.1447  45.1197  59.932345  10.718662          0.0  \n",
       "9.263983   -0.1447  45.1197  59.932345  10.718662          0.0  \n",
       "9.281162   -0.1447  45.1197  59.932345  10.718662          0.0  \n",
       "...            ...      ...        ...        ...          ...  \n",
       "130.425911 -1.9138  50.7538  59.932876  10.719039          0.0  \n",
       "130.426420 -1.9138  50.7538  59.932876  10.719039          0.0  \n",
       "130.444832 -1.9138  50.7538  59.932876  10.719039          0.0  \n",
       "130.446436 -1.9138  50.7538  59.932876  10.719039          0.0  \n",
       "130.464429 -1.9138  50.7538  59.932876  10.719039          0.0  \n",
       "\n",
       "[20668 rows x 21 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we finally have a dataset that we can investigate further. Before moving on, let us save it as a clean CSV file. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Name           | Description   | Unit |\n",
    "|:----           |:-----------   |:---- |\n",
    "| gFx            | g-force X     | FN/Fg |\n",
    "| gFy            | g-force Y     | FN/Fg |\n",
    "| gFz            | g-force Z     | FN/Fg |\n",
    "| ax             | linear acceleration X | m/s2 |\n",
    "| ay             | linear acceleration Y | m/s2 |\n",
    "| az             | linear acceleration Z | m/s2 |\n",
    "| wx             | gyroscope X   | rad/s |\n",
    "| wy             | gyroscope Y   | rad/s |\n",
    "| wz             | gyroscope Z   | rad/s |\n",
    "| p              | barometer     | Pa |\n",
    "| Bx             | magnetometer X | μT |\n",
    "| By             | magnetometer Y | μT |\n",
    "| Bz             | magnetometer Z | μT |\n",
    "| I              | light meter   | lx |\n",
    "| Azimuth        | inclinometer  | |\n",
    "| Pitch          | inclinometer  | |\n",
    "| Roll           | inclinometer  | |\n",
    "| Gain           | sound meter   | dB |\n",
    "| Latitude       | GPS Latitude  | degrees |\n",
    "| Longitude      | GPS Longitude | degrees |\n",
    "| Speed | m/s)   | GPS Speed     | km/h |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accelerometer data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us start by looking at the temporal development of data from the 3-axis accelerometer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,10))\n",
    "aa1 = plt.subplot(3, 1, 1)\n",
    "aa1.plot(data_clean['ax'], lw=1, label='X axis', color='red')\n",
    "aa1.legend(loc='upper right')\n",
    "aa1.set_ylim(-5, 5)\n",
    "plt.ylabel('Acceleration (mm/s2)');\n",
    "plt.title('Linear acceleration')\n",
    "\n",
    "aa2 = plt.subplot(3, 1, 2)\n",
    "aa2.plot(data_clean['ay'], lw=1, label='Y axis', color='green')\n",
    "aa2.legend(loc='upper right')\n",
    "aa2.set_ylim(-5, 5)\n",
    "plt.ylabel('Acceleration (mm/s2)');\n",
    "\n",
    "aa3 = plt.subplot(3, 1, 3)\n",
    "aa3.plot(data_clean['az'], lw=1, label='Z axis', color='blue')\n",
    "aa3.legend(loc='upper right')\n",
    "aa3.set_ylim(-5, 5)\n",
    "plt.ylabel('Acceleration (mm/s2)');\n",
    "\n",
    "#plt.tick_params(axis='both', which='major')\n",
    "\n",
    "plt.xlabel('Time (s)');\n",
    "fig.savefig(\"accelerometer_time.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As expected, the data varies slightly over time, but the numbers are very small. We can also inspect the spatial distribution of the same sensor data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gyroscope"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,10))\n",
    "aa1 = plt.subplot(3, 1, 1)\n",
    "aa1.plot(data_clean['wx'], lw=1, label='X axis', color='red') #Displacement on x axis\n",
    "aa1.legend(loc='upper right')\n",
    "aa1.set_ylim(-3, 3)\n",
    "plt.ylabel('Angular velocity (rad/s)');\n",
    "plt.title('Gyroscope')\n",
    "\n",
    "aa2 = plt.subplot(3, 1, 2)\n",
    "aa2.plot(data_clean['wy'], lw=1, label='Y axis', color='green') #Displacement on x axis\n",
    "aa2.legend(loc='upper right')\n",
    "aa2.set_ylim(-3, 3)\n",
    "plt.ylabel('Angular velocity (rad/s)');\n",
    "\n",
    "aa3 = plt.subplot(3, 1, 3)\n",
    "aa3.plot(data_clean['wz'], lw=1, label='Z axis', color='blue') #Displacement on x axis\n",
    "aa3.legend(loc='upper right')\n",
    "aa3.set_ylim(-3, 3)\n",
    "plt.ylabel('Angular velocity (rad/s)');\n",
    "\n",
    "#plt.tick_params(axis='both', which='major')\n",
    "\n",
    "plt.xlabel('Time (s)');\n",
    "fig.savefig(\"gyroscope_time.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### G-force meter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,10))\n",
    "aa1 = plt.subplot(3, 1, 1)\n",
    "aa1.plot(data_clean['gFx'], lw=1, label='X axis', color='red') #Displacement on x axis\n",
    "aa1.legend(loc='upper right')\n",
    "aa1.set_ylim(-1.5, 1)\n",
    "plt.ylabel('g-force (FN/Fg)');\n",
    "plt.title('Gravitational force')\n",
    "\n",
    "aa2 = plt.subplot(3, 1, 2)\n",
    "aa2.plot(data_clean['gFy'], lw=1, label='Y axis', color='green') #Displacement on y axis\n",
    "aa2.set_ylim(-1, 1.5)\n",
    "aa2.legend(loc='upper right')\n",
    "plt.ylabel('g-force (FN/Fg)');\n",
    "\n",
    "aa3 = plt.subplot(3, 1, 3)\n",
    "aa3.plot(data_clean['gFz'], lw=1, label='Z axis', color='blue') #Displacement on z axis\n",
    "aa3.set_ylim(-0.7, 1.8)\n",
    "aa3.legend(loc='upper right')\n",
    "plt.ylabel('g-force (FN/Fg)');\n",
    "\n",
    "#plt.tick_params(axis='both', which='major')\n",
    "\n",
    "plt.xlabel('Time (s)');\n",
    "fig.savefig(\"g-force-time.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Magnetometer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,10))\n",
    "aa1 = plt.subplot(3, 1, 1)\n",
    "aa1.plot(data_clean['Bx'], lw=1, label='X axis', color='red') #Displacement on x axis\n",
    "aa1.legend(loc='upper right')\n",
    "aa1.set_ylim(-50, 50)\n",
    "plt.ylabel('Magnetic field (μT)');\n",
    "plt.title('Magnetometer')\n",
    "\n",
    "aa2 = plt.subplot(3, 1, 2)\n",
    "aa2.plot(data_clean['By'], lw=1, label='Y axis', color='green') #Displacement on y axis\n",
    "aa2.set_ylim(-40, 60)\n",
    "aa2.legend(loc='upper right')\n",
    "plt.ylabel('Magnetic field (μT)');\n",
    "\n",
    "aa3 = plt.subplot(3, 1, 3)\n",
    "aa3.plot(data_clean['Bz'], lw=1, label='Z axis', color='blue') #Displacement on z axis\n",
    "aa3.set_ylim(-60, 40)\n",
    "aa3.legend(loc='upper right')\n",
    "plt.ylabel('Magnetic field (μT)');\n",
    "\n",
    "#plt.tick_params(axis='both', which='major')\n",
    "\n",
    "plt.xlabel('Time (s)');\n",
    "fig.savefig(\"magnetometer-time.png\", bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inclinometer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(14,10))\n",
    "aa1 = plt.subplot(3, 1, 1)\n",
    "aa1.plot(data_clean['Azimuth'], lw=1, label='X axis', color='red') #Displacement on x axis\n",
    "aa1.legend(loc='upper right')\n",
    "aa1.set_ylim(0, 400)\n",
    "plt.ylabel('Azimuth');\n",
    "plt.title('Inclinometer')\n",
    "\n",
    "aa2 = plt.subplot(3, 1, 2)\n",
    "aa2.plot(data_clean['Pitch'], lw=1, label='Y axis', color='green') #Displacement on y axis\n",
    "aa2.set_ylim(-200, 200)\n",
    "aa2.legend(loc='upper right')\n",
    "plt.ylabel('Pitch');\n",
    "\n",
    "aa3 = plt.subplot(3, 1, 3)\n",
    "aa3.plot(data_clean['Roll'], lw=1, label='Z axis', color='blue') #Displacement on z axis\n",
    "aa3.set_ylim(-200, 200)\n",
    "aa3.legend(loc='upper right')\n",
    "plt.ylabel('Roll');\n",
    "\n",
    "#plt.tick_params(axis='both', which='major')\n",
    "\n",
    "plt.xlabel('Time (s)');\n",
    "fig.savefig(\"inclinometer-time.png\", bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}