e05-numpy-logika-rozwiazania.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# NumPy - Logika - zadania"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Numpy Logic\n",
    "\n",
    "1. Ustaw ziarno losowości na zero\n",
    "1. Wygeneruj ``a: ndarray`` z 9 losowymi liczbami całkowitymi od 0 do 100 (rozłącznie)\n",
    "1. Sprawdź parzyste elementy, które są mniejsze od 50\n",
    "1. Sprawdź czy wszystkie liczby spełniają ten warunek\n",
    "1. Sprawdź czy jakakolwiek liczba spełnia ten warunek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([44, 47, 64, 67, 67,  9, 83, 21, 36])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "a = np.random.randint(0, 100, size=9)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "even = (a % 2 == 0)\n",
    "small = (a < 50)\n",
    "\n",
    "result = even & small"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.all()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Numpy Isin\n",
    "\n",
    "1. Ustaw ziarno losowości na zero\n",
    "1. Wygeneruj ``a: ndarray`` z 50 losowymi liczbami całkowitymi od 0 do 100 (rozłącznie)\n",
    "1. Wygeneruj ``b: ndarray`` z kolejnymi potęgami liczby 2, wykładnik od 0 do 6 (włącznie)\n",
    "1. Sprawdź, które elementy z ``a`` są obecne w ``b``"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([44, 47, 64, 67, 67,  9, 83, 21, 36, 87, 70, 88, 88, 12, 58, 65, 39,\n",
       "       87, 46, 88, 81, 37, 25, 77, 72,  9, 20, 80, 69, 79, 47, 64, 82, 99,\n",
       "       88, 49, 29, 19, 19, 14, 39, 32, 65,  9, 57, 32, 31, 74, 23, 35])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(0)\n",
    "\n",
    "a = np.random.randint(0, 100, size=50)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 1,  2,  4,  8, 16, 32, 64])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b = 2 ** np.arange(0, 7)\n",
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([False, False,  True, False, False, False, False, False, False,\n",
       "       False, False, False, False, False, False, False, False, False,\n",
       "       False, False, False, False, False, False, False, False, False,\n",
       "       False, False, False, False,  True, False, False, False, False,\n",
       "       False, False, False, False, False,  True, False, False, False,\n",
       "        True, False, False, False, False])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isin(a, b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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