Numpy.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "LNfAROLDPn4Y"
   },
   "source": [
    "# Numpy \n",
    "\n",
    "\n",
    "\n",
    "* Basic library used in scientific calculations\n",
    "\n",
    "* Linear algebra, machine learning, data science\n",
    "\n",
    "* Multi-dimensional arrays\n",
    "\n",
    "* Fast access to multidimensional arrays\n",
    "\n",
    "* The difference from the lists is having a fixed size.\n",
    "\n",
    "\n",
    "![numpy.PNG](data:image/png;base64,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   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "oaFwqdSgPJYE"
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "57ve9sX-P7Le"
   },
   "outputs": [],
   "source": [
    "a = np.array([1,2,3,4,5])   # 1st-degree array, vector"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "IYrYD-DIQJiw",
    "outputId": "81dbb41b-399d-4a28-d455-265437ddfaa2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "50Cr6wPdQL9u",
    "outputId": "cb5c2e1d-cc9c-4aae-9692-4a2b7a8468b6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5,)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.shape    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "UBwXn9SfQPdb",
    "outputId": "1a545220-7f56-4efd-bc87-c8b95e8642d5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.ndim    # return the dimension of an array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "eM2FHcT4QWge",
    "outputId": "742f28bc-30fb-49e9-852d-2fc4b489793a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "4\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "print(a[0])\n",
    "print(a[3])\n",
    "print(a[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "3GqnJxZRQdww",
    "outputId": "8d55f421-5ee1-45d4-fc62-ca846637cc3e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 2 8 4 5]\n"
     ]
    }
   ],
   "source": [
    "a[2] = 8\n",
    "\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "T4YHqQ25RDWn"
   },
   "outputs": [],
   "source": [
    "b = np.array([[1,2,3,4],\n",
    "              [5,6,7,8]])    #2nd-degree array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 52
    },
    "colab_type": "code",
    "id": "T1a-6fsjRZ-u",
    "outputId": "3d59e0b6-c4f3-4259-bae1-6673a611685c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4],\n",
       "       [5, 6, 7, 8]])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "cYIkw2VVRlT7",
    "outputId": "84afd9e0-ee91-4427-a266-7eccebaaf600"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "EaKBwnAlRozK",
    "outputId": "41315af3-4a46-4580-9ea8-584a52a6bdf4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 4)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b.shape    # 2nd-degree array with 2 row, 4 col."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4],\n",
       "       [5, 6, 7, 8]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "4AGngEh7Rrzb",
    "outputId": "4ac85f3d-ec2f-4481-d8d1-b57c82fd1371"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "5\n",
      "6\n"
     ]
    }
   ],
   "source": [
    "print(b[0,0])      \n",
    "print(b[1,0])      \n",
    "print(b[1,1])      #1st item of 1st row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "sfj3k0nASWd5",
    "outputId": "1a3e9004-6fe2-4a47-ff3a-2c5950c004ab"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 5 6\n"
     ]
    }
   ],
   "source": [
    "print(b[0,0],b[1,0],b[1,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "B7CWo6x7ScGt"
   },
   "outputs": [],
   "source": [
    "c = np.array([[1,2,3],\n",
    "              [4,5,6],\n",
    "              [7,8,9]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "BJolEGVYTku5",
    "outputId": "0894f466-590b-46bf-b7cb-45d0a4305bd4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6],\n",
       "       [7, 8, 9]])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "jB6xZrrSTl91",
    "outputId": "9ab0e76b-dff2-4447-8dc3-4a03ff36c090"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "PQiTSvuyTqHo",
    "outputId": "cc475b70-2a1f-401b-9d4e-732d529508ac"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 3)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tzR7JdjfVW2O"
   },
   "outputs": [],
   "source": [
    "d = np.array([[[1,2,3],\n",
    "               [4,5,6],\n",
    "               [7,8,9]]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "MReC1memVgiv",
    "outputId": "1b59f141-fba0-430e-d059-2971b3a81217"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[1, 2, 3],\n",
       "        [4, 5, 6],\n",
       "        [7, 8, 9]]])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "iyKawQGfViJ4",
    "outputId": "e7fdc5fc-5242-4849-f671-543e31c5c300"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.ndim   # 3-dimension array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "jr47fZl9VnH0",
    "outputId": "16e6b0cb-920d-49eb-b722-2903cc28618c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 3, 3)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "yjdoyhzSV7Ic",
    "outputId": "fe8e05aa-c2c8-478d-c857-83f83e8b987d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d[0,1,1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "mU7pzvKMWQO4"
   },
   "source": [
    "### Arrays with Special Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 52
    },
    "colab_type": "code",
    "id": "-dGCcLvSWMr2",
    "outputId": "dbf87acb-0cd5-4590-929c-56a092664f4d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0. 0.]\n",
      " [0. 0.]]\n"
     ]
    }
   ],
   "source": [
    "#Zero Array\n",
    "\n",
    "\n",
    "s = np.zeros((2,2))\n",
    "\n",
    "print(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 52
    },
    "colab_type": "code",
    "id": "hf_AtIYYWkvZ",
    "outputId": "d09ecdaa-b6db-4a69-98e3-10beb8a1de47"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int64\n"
     ]
    }
   ],
   "source": [
    "s2 = np.ones((2,3)).astype(\"int64\").dtype\n",
    "\n",
    "print(s2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1. 1. 1.]\n",
      " [1. 1. 1.]]\n"
     ]
    }
   ],
   "source": [
    "s2 = np.ones((2,3))\n",
    "print(s2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "vx3qexEqWvL1",
    "outputId": "ea2d52db-607f-48c0-de2b-d70a0120f28c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[8 8 8]\n",
      " [8 8 8]\n",
      " [8 8 8]]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "s3 = np.full((3,3),8)\n",
    "\n",
    "print(s3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 159
    },
    "colab_type": "code",
    "id": "E9R0MuxNW4e-",
    "outputId": "7e3c63cc-f910-4963-a881-1d7e0b10a737"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[9.27679712e-312 6.27463370e-322 0.00000000e+000 0.00000000e+000\n",
      "  1.42417900e-306]\n",
      " [5.30276956e+180 1.57076922e-076 4.57487963e-071 4.66499561e-086\n",
      "  3.35959356e-143]\n",
      " [6.01433264e+175 6.93885958e+218 5.56218858e+180 3.94356143e+180\n",
      "  3.72782491e-057]\n",
      " [7.80064249e-043 6.52055591e-042 9.35008708e-067 4.41198586e-143\n",
      "  1.50008929e+248]]\n"
     ]
    }
   ],
   "source": [
    "# It creates a series of randomly determined elements according to the state of the memory.\n",
    "\n",
    "s4 = np.empty((4,5))\n",
    "\n",
    "print(s4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 88
    },
    "colab_type": "code",
    "id": "qFKWO-IMXZzq",
    "outputId": "536ce149-e413-4217-b4ee-e43240deb491"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1. 0. 0. 0.]\n",
      " [0. 1. 0. 0.]\n",
      " [0. 0. 1. 0.]\n",
      " [0. 0. 0. 1.]]\n"
     ]
    }
   ],
   "source": [
    "#diagonal array\n",
    "\n",
    "s5 = np.eye(4)\n",
    "\n",
    "print(s5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "nSwJ1RbGYDWa",
    "outputId": "2bcfce3d-13aa-4433-b3dd-fc2856e5a921"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 1 2 3 4 5 6 7 8 9]\n"
     ]
    }
   ],
   "source": [
    "s7 = np.arange(0,10,1)   \n",
    "\n",
    "print(s7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "1jtSOsmAY1pQ",
    "outputId": "b5b3fe57-aaef-40da-8f01-d58714944065"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2.   2.25 2.5  2.75 3.  ]\n"
     ]
    }
   ],
   "source": [
    "s8 = np.linspace(2,3,5)\n",
    "\n",
    "print(s8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 106
    },
    "colab_type": "code",
    "id": "DUmuguakX1em",
    "outputId": "2f51779e-4771-4441-b9db-7b1d7abec17b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.76340755 0.53471369 0.46762585 0.85171004 0.95582832]\n",
      " [0.70299103 0.15913386 0.7042347  0.38874101 0.93434943]\n",
      " [0.78667396 0.61890382 0.4776483  0.22138073 0.45374143]\n",
      " [0.57427484 0.7634074  0.71862918 0.15050893 0.37722183]\n",
      " [0.27245849 0.2875156  0.25576563 0.28632725 0.64980458]]\n"
     ]
    }
   ],
   "source": [
    "s6 = np.random.random((5,5))      \n",
    "\n",
    "print(s6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "GPlviTndZlNs",
    "outputId": "cd5385e5-f25b-4249-9945-2f36d5bd46fd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10,)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array_random = np.random.randint(5,10, size = 10)\n",
    "array_random.shape "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 88
    },
    "colab_type": "code",
    "id": "-EqS5efhZ51Y",
    "outputId": "90ba1836-5fc4-40d1-d0fc-8d005e5881a5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[8, 9, 7, 7],\n",
       "       [7, 8, 7, 8],\n",
       "       [8, 6, 8, 6],\n",
       "       [6, 8, 6, 8]])"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.randint(5,10, size= (4,4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 124
    },
    "colab_type": "code",
    "id": "CJtE67kOaIBS",
    "outputId": "e03e0b13-f6e5-4957-c57b-c867ced373df"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[7 6 6]\n",
      " [7 7 9]\n",
      " [8 6 8]\n",
      " [9 5 8]\n",
      " [8 7 9]]\n",
      "(5, 3)\n"
     ]
    }
   ],
   "source": [
    "#reshape\n",
    "\n",
    "d2 = np.random.randint(5,10, size = (5,3))\n",
    "\n",
    "print(d2)\n",
    "\n",
    "print(d2.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 70
    },
    "colab_type": "code",
    "id": "-v1N5u1xaW3I",
    "outputId": "c42a8bfe-bd51-4a71-fe07-324a34332a43"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7, 6, 6, 7, 7],\n",
       "       [9, 8, 6, 8, 9],\n",
       "       [5, 8, 8, 7, 9]])"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2.reshape(3,5)   #The original matrix and the new one must have the same number of items."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7],\n",
       "       [6],\n",
       "       [6],\n",
       "       [7],\n",
       "       [7],\n",
       "       [9],\n",
       "       [8],\n",
       "       [6],\n",
       "       [8],\n",
       "       [9],\n",
       "       [5],\n",
       "       [8],\n",
       "       [8],\n",
       "       [7],\n",
       "       [9]])"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d2.reshape(15,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 106
    },
    "colab_type": "code",
    "id": "E3fF-kX0bEZc",
    "outputId": "0b31361d-e5d5-4d98-f7f9-60f93d2f3aef"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[9 9 8]\n",
      " [5 8 6]\n",
      " [5 5 7]\n",
      " [9 7 8]\n",
      " [9 9 7]]\n"
     ]
    }
   ],
   "source": [
    "d3 =  np.random.randint(5,10, size = (5,3))\n",
    "\n",
    "print(d3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "VWznb1VccVbX",
    "outputId": "ffb8bc61-a09c-4afd-a58f-f2af5dfc8bd8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[9 9 8 5 8 6 5 5 7 9 7 8 9 9 7]\n"
     ]
    }
   ],
   "source": [
    "d3 = d3.ravel()\n",
    "\n",
    "print(d3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "at5eOfDpccRi",
    "outputId": "0670e23f-a82b-453b-9a80-ad510200c2b5"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15,)"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "b9iUc78Xcfn2",
    "outputId": "ad4abaa0-f6b0-421d-c9fa-c06d3a9c3685"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int32')"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([9, 9, 8, 5, 8, 6, 5, 5, 7, 9, 7, 8, 9, 9, 7])"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3.astype(\"int64\").dtype\n",
    "d3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "d3 = d3.reshape(3,5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[9, 9, 8, 5, 8],\n",
       "       [6, 5, 5, 7, 9],\n",
       "       [7, 8, 9, 9, 7]])"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "2cY50jkVck7x",
    "outputId": "45528b9f-7f73-44d7-a476-e61165cc488b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "yLZSqxUicn8M",
    "outputId": "1e9bbb85-f712-4c66-c625-686e58d8a65e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 35
    },
    "colab_type": "code",
    "id": "28AXNm6Ucpgx",
    "outputId": "b1e8b0ba-9b9b-4976-a205-f6d4ee042fab"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[7, 8, 9, 9, 7],\n",
       "       [6, 5, 5, 7, 9],\n",
       "       [9, 9, 8, 5, 8]])"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d3[::-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VW-zH91kcu1C"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[79 20 99 85 42 69 54 24 42 10]\n"
     ]
    }
   ],
   "source": [
    "news = np.random.randint(1,100,10)\n",
    "\n",
    "print(news)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(news)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10,)"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "YfwQ7uwpRyIM"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "okmEldzoR0W6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.argmin()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "6RAzHt1JR2hf"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "52.4"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "rBXAqPXWR-Z-"
   },
   "source": [
    "## Stacking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "DXGTBaHZR6Oa"
   },
   "outputs": [],
   "source": [
    "a = np.array([[1,2,3],[4,5,6]])\n",
    "\n",
    "b = np.array([[6,5,4], [3,2,1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6]])"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[6, 5, 4],\n",
       "       [3, 2, 1]])"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "unmWypIcSEfv"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6],\n",
       "       [6, 5, 4],\n",
       "       [3, 2, 1]])"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.vstack((a,b)) #vertical stacking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "f0ZXDE8PSIzh"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 6, 5, 4],\n",
       "       [4, 5, 6, 3, 2, 1]])"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.hstack((a,b)) #horizontal stacking"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "23oZkyItSPYP"
   },
   "source": [
    "## Concatenation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mTYlzQ48SM0B"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1]\n",
      " [2 3]\n",
      " [4 5]\n",
      " [6 7]\n",
      " [8 9]]\n"
     ]
    }
   ],
   "source": [
    "myArray = np.array([0,1,2,3,4,5,6,7,8,9]).reshape(5,2)\n",
    "\n",
    "print(myArray)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "PLGnF7nNSXN7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1]\n",
      " [2 3]\n",
      " [4 5]\n",
      " [6 7]\n",
      " [8 9]\n",
      " [0 1]\n",
      " [2 3]\n",
      " [4 5]\n",
      " [6 7]\n",
      " [8 9]]\n"
     ]
    }
   ],
   "source": [
    "print(np.concatenate([myArray,myArray], axis = 0))  #vertical "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "qA03GoFRSff7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 1 0 1]\n",
      " [2 3 2 3]\n",
      " [4 5 4 5]\n",
      " [6 7 6 7]\n",
      " [8 9 8 9]]\n"
     ]
    }
   ],
   "source": [
    "print(np.concatenate([myArray,myArray], axis = 1)) #horizontal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ZUmGC9ODSomz"
   },
   "source": [
    "## Slicing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "9L4C-b_ZSlvc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2 3]\n",
      " [6 7]]\n"
     ]
    }
   ],
   "source": [
    "a = np.array([[1,2,3,4],\n",
    "              [5,6,7,8],\n",
    "              [9,10,11,12]])\n",
    "\n",
    "b = a[:2, 1:3]    \n",
    "\n",
    "print(b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "wh8r1cEMSuAy"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "print(a[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "k9nAHjvLSwt5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "77\n"
     ]
    }
   ],
   "source": [
    "b[0,0] = 77    \n",
    "\n",
    "print(a[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1, 77,  3,  4],\n",
       "       [ 5,  6,  7,  8],\n",
       "       [ 9, 10, 11, 12]])"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "VRNic9bDSzxr"
   },
   "outputs": [],
   "source": [
    "line1 = a[1,:]    \n",
    "line2 = a[1:2, :]  \n",
    "line3 = a[[1],:]    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "TUexRz5ZS4dh"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[5 6 7 8] (4,)\n",
      "[[5 6 7 8]] (1, 4)\n",
      "[[5 6 7 8]] (1, 4)\n"
     ]
    }
   ],
   "source": [
    "print(line1, line1.shape)\n",
    "print(line2, line2.shape)\n",
    "print(line3, line3.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1, 77,  3,  4],\n",
       "       [ 5,  6,  7,  8],\n",
       "       [ 9, 10, 11, 12]])"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "KSxCqS2_TGKT"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[77  6 10] (3,)\n",
      "[[77]\n",
      " [ 6]\n",
      " [10]] (3, 1)\n"
     ]
    }
   ],
   "source": [
    "col1 = a[:,1]\n",
    "col2 = a[:, 1:2]\n",
    "\n",
    "print(col1, col1.shape)\n",
    "print(col2, col2.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col2.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col1.ndim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xzT-ONxwTO6V"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 4 5]\n"
     ]
    }
   ],
   "source": [
    "t = np.array([[1,2],\n",
    "              [3,4],\n",
    "              [5,6]])\n",
    "\n",
    "print(t[[0,1,2],[0,1,0]]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "DKevt062TSnx"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 4 5]\n"
     ]
    }
   ],
   "source": [
    "print(np.array([t[0,0], t[1,1], t[2,0]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "2C1i0Ho6TVWR"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1  2  3]\n",
      " [ 4  5  6]\n",
      " [ 7  8  9]\n",
      " [10 11 12]]\n"
     ]
    }
   ],
   "source": [
    "s = np.array([[1,2,3],[4,5,6],[7,8,9],[10,11,12]])\n",
    "\n",
    "print(s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "uxySP8koTXlt"
   },
   "outputs": [],
   "source": [
    "indis = np.array([0,2,0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 2, 0, 1])"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Imc_L_zDTZup"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1  6  7 11]\n"
     ]
    }
   ],
   "source": [
    "print(s[np.arange(4), indis]) #([0,1,2,3],[0,2,0,1]) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "vY8ivMIcTwDX"
   },
   "source": [
    "## Aritmetic Operations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Y3mWYuRMTtp6"
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'np' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-2-732c4c718d67>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m4\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m5\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m7\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m8\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m+\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'np' is not defined"
     ]
    }
   ],
   "source": [
    "x = np.array([[1,2],[3,4]], dtype= np.float64)\n",
    "y = np.array([[5,6],[7,8]], dtype= np.float64)\n",
    "\n",
    "\n",
    "print(x+y)\n",
    "\n",
    "print(np.add(x,y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "InoPX9IfT2TD"
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'x' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-3-fb9c15d00e93>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m-\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubtract\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'x' is not defined"
     ]
    }
   ],
   "source": [
    "print(x-y)\n",
    "\n",
    "print(np.subtract(x,y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "xgjf6TRXT4KE"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 5. 12.]\n",
      " [21. 32.]]\n",
      "[[-4. -4.]\n",
      " [-4. -4.]]\n"
     ]
    }
   ],
   "source": [
    "print(x*y)\n",
    "\n",
    "print(np.subtract(x,y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "L4WmyWO4T7N_"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[19. 22.]\n",
      " [43. 50.]]\n"
     ]
    }
   ],
   "source": [
    "print(np.dot(x,y))  #This function returns the dot product of two arrays."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [],
   "source": [
    "# (2,3) ve (3,2)\n",
    "# (2,2) ve (2,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "oGUtI5C2UAzG"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0.2        0.33333333]\n",
      " [0.42857143 0.5       ]]\n",
      "[[0.2        0.33333333]\n",
      " [0.42857143 0.5       ]]\n"
     ]
    }
   ],
   "source": [
    "print(x/y)\n",
    "\n",
    "print(np.divide(x,y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "1g4Nst8kUCr9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[2. 3.]\n",
      " [4. 9.]]\n"
     ]
    }
   ],
   "source": [
    "s = np.array([[4,9],[16,81]], dtype = np.float64)\n",
    "\n",
    "print(np.sqrt(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "njZBwrrfUMma"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[  16.   81.]\n",
      " [ 256. 6561.]]\n"
     ]
    }
   ],
   "source": [
    "s = np.array([[4,9],[16,81]], dtype = np.float64)\n",
    "\n",
    "print(np.square(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "R6mLUA9lUbri"
   },
   "outputs": [],
   "source": [
    "#Calculate the exponential of all elements in the input array\n",
    "\n",
    "s = np.array([[4,9],[16,81]], dtype = np.float64)\n",
    "print(np.exp(s))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "J1lL22dDUekL"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 2.30258509  4.60517019  6.90775528  9.21034037 11.51292546 13.81551056]\n"
     ]
    }
   ],
   "source": [
    "v = np.array([10,100,1000,10000,100000,1000000])\n",
    "\n",
    "print(np.log(v))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "BQC2eCOHUglI"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.5      , 1.       , 0.8660254])"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t = np.array([np.pi/6, np.pi/2, np.pi/3])\n",
    "\n",
    "np.sin(t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "oLIpPcKzUvBW"
   },
   "source": [
    "### Dot Product\n",
    "![Dot product](https://algebra1course.files.wordpress.com/2013/02/slide10.jpg)\n",
    "\n",
    "credit: https://algebra1course.files.wordpress.com/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "OmSpdiGSUjze"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "219\n",
      "219\n"
     ]
    }
   ],
   "source": [
    "x = np.array([[1,2],[3,4]])\n",
    "y = np.array([[5,6],[7,8]])\n",
    "\n",
    "a = np.array([9,10])\n",
    "b = np.array([11,12])\n",
    "\n",
    "\n",
    "print(a.dot(b))\n",
    "\n",
    "print(np.dot(a,b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "EmnpSYU3Uz7f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[29 67]\n",
      "[39 58]\n"
     ]
    }
   ],
   "source": [
    "print(x.dot(a))\n",
    "\n",
    "print(np.dot(a,x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "sYSiH6ezU2oP"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[127 173]\n",
      "[127 173]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "print(y.dot(b))\n",
    "\n",
    "print(np.dot(y,b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "vsKhePngU4mi"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10\n",
      "[4 6]\n",
      "[3 7]\n"
     ]
    }
   ],
   "source": [
    "x = np.array([[1,2],[3,4]])\n",
    "\n",
    "print(np.sum(x))\n",
    "\n",
    "print(np.sum(x, axis = 0))\n",
    "\n",
    "print(np.sum(x, axis = 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "h9mesia-U7Lt"
   },
   "source": [
    "## Transpose"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "fL-2y6ThVIAs"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 3]\n",
      " [2 4]]\n"
     ]
    }
   ],
   "source": [
    "x = np.array([[1,2],\n",
    "              [3,4]])\n",
    "\n",
    "\n",
    "print(x.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "XA6X8tgmVLPb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1]\n",
      " [2]\n",
      " [3]]\n"
     ]
    }
   ],
   "source": [
    "v = np.array([[1,2,3]])\n",
    "\n",
    "\n",
    "print(v.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "7WqO52kCVQa1"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 2 3]]\n",
      "(1, 3)\n",
      "[[1]\n",
      " [2]\n",
      " [3]]\n",
      "(3, 1)\n"
     ]
    }
   ],
   "source": [
    "\n",
    "t = np.array([[1,2,3]])\n",
    "\n",
    "\n",
    "print(t)\n",
    "\n",
    "print(t.shape)\n",
    "\n",
    "print(t.T)\n",
    "\n",
    "v = t.T\n",
    "\n",
    "print(v.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "tcLo6EtbVRQv"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.  2.  2.5]\n",
      "[1 2 2]\n"
     ]
    }
   ],
   "source": [
    "#Data Type Conversion\n",
    "\n",
    "x = np.array([1,2,2.5])\n",
    "\n",
    "print(x)\n",
    "\n",
    "x = x.astype(int)\n",
    "\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "RYPf6IQHVZEW"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2,)\n",
      "(1, 2)\n",
      "(1, 1, 2)\n",
      "(1, 1, 1, 2)\n",
      "<class 'numpy.ndarray'>\n",
      "4\n",
      "[[[[1]]]\n",
      "\n",
      "\n",
      " [[[2]]]]\n"
     ]
    }
   ],
   "source": [
    "#Dimension Expansion\n",
    "\n",
    "y = np.array([1,2])\n",
    "\n",
    "print(y.shape)\n",
    "\n",
    "y = np.expand_dims(y, axis = 0)\n",
    "\n",
    "print(y.shape)\n",
    "\n",
    "y = np.expand_dims(y, axis = 0)\n",
    "\n",
    "print(y.shape)\n",
    "\n",
    "y = np.expand_dims(y, axis = 0)\n",
    "\n",
    "print(y.shape)\n",
    "print(type(y))\n",
    "print(y.ndim)\n",
    "print(y.reshape(2,1,1,1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "e24Ud2sKVhg9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2,)\n",
      "(2, 1)\n",
      "(2, 1, 1)\n",
      "(2, 1, 1, 1)\n"
     ]
    }
   ],
   "source": [
    "x = np.array([1,2])\n",
    "\n",
    "print(x.shape)\n",
    "\n",
    "x = np.expand_dims(x, axis = 1)\n",
    "\n",
    "print(x.shape)\n",
    "\n",
    "x = np.expand_dims(x, axis = 1)\n",
    "\n",
    "print(x.shape)\n",
    "\n",
    "x = np.expand_dims(x, axis = 1)\n",
    "\n",
    "print(x.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Day_7.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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