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   "source": [
    "<div style=\"text-align: center; margin-bottom: 15px;\">\n",
    "        <a href=\"https://colab.research.google.com/github/wisaaco/TallerPythonFEE/blob/main/homework/activitat_1.ipynb\" target=\"_blank\">\n",
    "            <img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\" style=\"height: 40px; transition: transform 0.2s ease;\" onmouseover=\"this.style.transform='scale(1.05)'\" onmouseout=\"this.style.transform='scale(1)'\">\n",
    "        </a>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Activitat\n",
    "A) De la següent llista aleatòria de `temperaturesDiaries` creada amb l'ajuda de la llibrería Numpy:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "np.random.seed(0) # Quan generem nombres \"aleatoris\" és important definir una llavor precursora de la seva generació pseudo-aleatòria.\n",
    "                  # Una mateixa llavor implica que qualsevol codi que utilitzi aquesta llavor generarà el mateix llistat de nombres aleatoris.\n",
    "                  # Això permet que l'estudi sigui reproduïble.\n",
    "\n",
    "temperaturesDiaries = np.random.randint(-10, 45, 100000) # Emplearem una distribució uniforme de 100,000 valors entre -10 i 45.\n",
    "\n",
    "print(\"Els cinc primers valors de temperaturesDiaries: \", temperaturesDiaries[:5])\n",
    "print(\"El número de mostres de temperaturesDiaries: \", len(temperaturesDiaries))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.1 Podem trobar si hi ha el número 9 en el llistat generat aleatòriament?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.2 Quin és el número més gran i el més petit de la llista?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.3 Quantes mostres negatives n'hi ha?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.4 Quin és el valor mitjà?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.5 Quina és la suma acumulada?\n",
    "# Pista: https://numpy.org/doc/stable/reference/generated/numpy.cumsum.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.6 Quina és la suma acumulada dels valors absoluts?\n",
    "# Pista: https://numpy.org/doc/stable/reference/generated/numpy.absolute.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.7 Ordena la llista de major a menor i mostra els 10 primers valors\n",
    "# Pista: https://numpy.org/doc/stable/reference/generated/numpy.sort.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.8 Posa tots els valors negatius a zero\n",
    "#Pista opcional: https://numpy.org/doc/stable/reference/generated/numpy.where.html\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A.9 Agafa 100 mostres aleatòries de l'original (de \"temperatures\")\n",
    "# Pista: Google!"
   ]
  }
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