Numpy 2

Numpy2.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "05eba4df",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2d677a70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[3 2 1 6 8]\n",
      " [6 7 8 3 4]]\n"
     ]
    }
   ],
   "source": [
    "array1 = np.array([[3,2,1,6,8],[6,7,8,3,4]], dtype = \"int32\")\n",
    "print(array1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4904ee84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 5)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5a5722dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int32')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array1.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c7d5ac8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.zeros((4,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f8e1c974",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.ones(6).dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "96e56fff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0.],\n",
       "       [0., 0., 0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.empty((4,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ba5f6dc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[3, 2, 1, 6, 8],\n",
       "       [6, 7, 8, 3, 4]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "733d932c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 9,  4,  1, 36, 64],\n",
       "       [36, 49, 64,  9, 16]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array1*array1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e19967c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[      27,        4,        1,    46656, 16777216],\n",
       "       [   46656,   823543, 16777216,       27,      256]], dtype=int32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array1**array1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c0fbd540",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.33333333, 0.5       , 1.        , 0.16666667, 0.125     ],\n",
       "       [0.16666667, 0.14285714, 0.125     , 0.33333333, 0.25      ]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "1/array1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e75c356",
   "metadata": {},
   "source": [
    "# Slicing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a0940e09",
   "metadata": {},
   "outputs": [],
   "source": [
    "array2 = np.array([2,4,6,8,6,12])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "9af5a5aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = array2[4:6].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "67e76ced",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 6, 12])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "95f22157",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr[0] = 9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "71a47492",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2,  4,  6,  8,  6, 12])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "419d6d7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 9, 12])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr"
   ]
  }
 ],
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