{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "time,angular_velocity\n",
      "0.0,3.236790061330015\n",
      "0.0020000000000000018,3.2304788385296246\n",
      "0.003999999999999997,3.2195776355287498\n",
      "0.005999999999999998,3.2092501800752573\n",
      "0.008,3.1926115018876944\n",
      "0.009999999999999995,3.1880215217073844\n",
      "0.011999999999999997,3.1765465712743266\n",
      "0.013999999999999999,3.1490066903384144\n",
      "0.016,3.123188052093832\n"
     ]
    }
   ],
   "source": [
    "!head bicycle-wheel-radial-inertia-rate-gyro-measurement.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "gyro_data = pd.read_csv('bicycle-wheel-radial-inertia-rate-gyro-measurement.csv',\n",
    "                        index_col='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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>angular_velocity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.000</th>\n",
       "      <td>3.236790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.002</th>\n",
       "      <td>3.230479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.004</th>\n",
       "      <td>3.219578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.006</th>\n",
       "      <td>3.209250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.008</th>\n",
       "      <td>3.192612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       angular_velocity\n",
       "time                   \n",
       "0.000          3.236790\n",
       "0.002          3.230479\n",
       "0.004          3.219578\n",
       "0.006          3.209250\n",
       "0.008          3.192612"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gyro_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(gyro_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1001"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(gyro_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['angular_velocity'], dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gyro_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "time\n",
       "0.000    3.236790\n",
       "0.002    3.230479\n",
       "0.004    3.219578\n",
       "0.006    3.209250\n",
       "0.008    3.192612\n",
       "           ...   \n",
       "1.992   -0.271675\n",
       "1.994   -0.207989\n",
       "1.996   -0.144303\n",
       "1.998   -0.085207\n",
       "2.000   -0.030127\n",
       "Name: angular_velocity, Length: 1001, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gyro_data['angular_velocity']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Float64Index([                  0.0, 0.0020000000000000018,\n",
       "               0.003999999999999997, 0.0059999999999999975,\n",
       "                              0.008,  0.009999999999999995,\n",
       "               0.011999999999999995,                 0.014,\n",
       "                              0.016,  0.018000000000000002,\n",
       "              ...\n",
       "                 1.9820000000000004,                 1.984,\n",
       "                 1.9860000000000004,                 1.988,\n",
       "                 1.9900000000000004,                 1.992,\n",
       "                 1.9940000000000004,                 1.996,\n",
       "                 1.9980000000000004,    2.0000000000000004],\n",
       "             dtype='float64', name='time', length=1001)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gyro_data.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>angular_velocity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.000</th>\n",
       "      <td>3.236790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.002</th>\n",
       "      <td>3.230479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.004</th>\n",
       "      <td>3.219578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.006</th>\n",
       "      <td>3.209250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0.008</th>\n",
       "      <td>3.192612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       angular_velocity\n",
       "time                   \n",
       "0.000          3.236790\n",
       "0.002          3.230479\n",
       "0.004          3.219578\n",
       "0.006          3.209250\n",
       "0.008          3.192612"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gyro_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib widget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aa6e1f723c0b490f8743cda241bb823e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f71eb9032e8>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gyro_data.plot(style='.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(gyro_data)"
   ]
  }
 ],
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   "display_name": "Python 3",
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   "name": "python3"
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