{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [],
   "source": [
    "chz_sensor_a = [192, 4, 1, 54]\n",
    "chz_sensor_b = [228, 147, 61, 84]\n",
    "rxj_sensor_a = [33]\n",
    "rxj_sensor_b = [48, 41, 910]\n",
    "amp_sensor_a = [292, 12, 84, 991]\n",
    "amp_sensor_b = [28901]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 2\n",
    "There are multiple ways to do this:\n",
    "   * Use the append() method of the list class to add the samples individually.\n",
    "   * Use the extend() method of the list class to add all samples from a second list at once.\n",
    "   * Use the + or += operator, to add all samples from a second list at once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[33, 55, 21]\n"
     ]
    }
   ],
   "source": [
    "rxj_sensor_a += [55, 21]\n",
    "print(rxj_sensor_a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[292, 12, 94, 991]\n"
     ]
    }
   ],
   "source": [
    "amp_sensor_a[2] = 94\n",
    "print(amp_sensor_a)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[228, 147, 71, 94]\n"
     ]
    }
   ],
   "source": [
    "chz_sensor_b[2:4] = [71,94]\n",
    "print(chz_sensor_b)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 5\n",
    "There are multiple ways to do this:\n",
    "   * Use the extend() method of the list class to add all samples from a second list at once.\n",
    "   * Use the + or += operator, to add all samples from a second list at once.    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[192, 4, 1, 54, 228, 147, 71, 94, 33, 55, 21, 48, 41, 910, 292, 12, 94, 991, 28901]\n"
     ]
    }
   ],
   "source": [
    "all_samples = chz_sensor_a + chz_sensor_b + \\\n",
    "              rxj_sensor_a + rxj_sensor_b + \\\n",
    "              amp_sensor_a + amp_sensor_b\n",
    "print(all_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 6"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "19"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(all_samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(all_samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28901"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max(all_samples)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "32189"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(all_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "71 in all_samples "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "60 not in all_samples "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_samples.count(228)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "192"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_samples[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 11"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28901"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_samples[-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 12"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[192, 228, 33, 41, 94]"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_samples[::4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 4, 12, 21, 33, 41, 48, 54, 55, 71, 94, 94, 147, 192, 228, 292, 910, 991, 28901]\n"
     ]
    }
   ],
   "source": [
    "all_samples.sort()\n",
    "print(all_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[28901, 991, 910, 292, 228, 192, 147, 94, 94, 71, 55, 54, 48, 41, 33, 21, 12, 4, 1]\n"
     ]
    }
   ],
   "source": [
    "all_samples.sort(reverse=True)\n",
    "print(all_samples)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('CHZ', [192, 4, 1, 54], [228, 147, 71, 94]),\n",
       " ('RXJ', [33, 55, 21], [48, 41, 910]),\n",
       " ('AMP', [292, 12, 94, 991], [28901])]"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_data = [('CHZ', chz_sensor_a, chz_sensor_b),\n",
    "              ('RXJ', rxj_sensor_a, rxj_sensor_b),\n",
    "              ('AMP', amp_sensor_a, amp_sensor_b)]\n",
    "table_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('CHZ', [192, 4, 1, 54], [228, 147, 71, 94]),\n",
       " ('RXJ', [33, 55, 21], [48, 41, 910]),\n",
       " ('AMP', [292, 12, 94, 991], [28901]),\n",
       " ('BMX', [1, 4, 6, 735], [12, 135, 2462])]"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bmx_sensor_a = [1, 4, 6, 735]\n",
    "bmx_sensor_b = [12, 135, 2462]\n",
    "table_data.append((\"BMX\", bmx_sensor_a, bmx_sensor_b))\n",
    "table_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 17"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('CHZ', [192, 4, 1, 54], [228, 147, 71, 94]),\n",
       " ('QRT', [2, 31, 52, 85], [899, 900, 901]),\n",
       " ('RXJ', [33, 55, 21], [48, 41, 910]),\n",
       " ('AMP', [292, 12, 94, 991], [28901]),\n",
       " ('BMX', [1, 4, 6, 735], [12, 135, 2462])]"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qrt_sensor_a = [2, 31, 52, 85]\n",
    "qrt_sensor_b = [899, 900, 901]\n",
    "table_data.insert(1, (\"QRT\", qrt_sensor_a, qrt_sensor_b))\n",
    "table_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 18"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('CHZ', [192, 4, 1, 54], [228, 147, 71, 94]),\n",
       " ('QRT', [2, 31, 52, 85], [899, 900, 901]),\n",
       " ('RXJ', [33, 55, 21], [48, 41, 910]),\n",
       " ('BMX', [1, 4, 6, 735], [12, 135, 2462])]"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_data.pop(3)\n",
    "table_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 19"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('BMX', [1, 4, 6, 735], [12, 135, 2462]),\n",
       " ('CHZ', [192, 4, 1, 54], [228, 147, 71, 94]),\n",
       " ('QRT', [2, 31, 52, 85], [899, 900, 901]),\n",
       " ('RXJ', [33, 55, 21], [48, 41, 910])]"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table_data = sorted(table_data, key=lambda item: item[0])\n",
    "table_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Answer 20"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(table_data)"
   ]
  }
 ],
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