NumpyScratchPad.ipynb

{
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   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "x1 = np.arange(1,11)\n",
    "x2 = np.arange(1,11).reshape(10,1)\n",
    "x3 = np.arange(1,11).reshape(1,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10,)\n",
      "(10, 1)\n",
      "(1, 10)\n"
     ]
    }
   ],
   "source": [
    "print(x1.shape)\n",
    "print(x2.shape)\n",
    "print(x3.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "[ 1  2  3  4  5  6  7  8  9 10]\n",
      "[[ 1]\n",
      " [ 2]\n",
      " [ 3]\n",
      " [ 4]\n",
      " [ 5]\n",
      " [ 6]\n",
      " [ 7]\n",
      " [ 8]\n",
      " [ 9]\n",
      " [10]]\n",
      "[[ 1  2  3  4  5  6  7  8  9 10]]\n"
     ]
    }
   ],
   "source": [
    "print(x1)\n",
    "print(x2)\n",
    "print(x3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "3\n",
      "3\n"
     ]
    }
   ],
   "source": [
    "print(x1[2])\n",
    "print(x2[2,0])\n",
    "print(x3[0,2])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10,)\n",
      "(10, 1)\n",
      "(1, 10)\n",
      "1\n",
      "2\n",
      "2\n"
     ]
    }
   ],
   "source": [
    "shape1 = x1.shape\n",
    "shape2 = x2.shape\n",
    "shape3 = x3.shape\n",
    "print(shape1)\n",
    "print(shape2)\n",
    "print(shape3)\n",
    "print(len(shape1))\n",
    "print(len(shape2))\n",
    "print(len(shape3))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "array = np.arange(10)\n",
    "vector = np.arange(10).reshape(10,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10,)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "array.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10, 1)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vector.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.16.5'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.version.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Object `numpy` not found.\n"
     ]
    }
   ],
   "source": [
    "!pip install numpy?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting numpy\n",
      "  Downloading https://files.pythonhosted.org/packages/df/cb/7af5de0a4068ce314e13074a4f86afada7fa86a095489bbc80f5dabd4156/numpy-1.19.1-cp37-cp37m-win_amd64.whl (12.9MB)\n",
      "Installing collected packages: numpy\n",
      "  Found existing installation: numpy 1.16.5\n",
      "    Uninstalling numpy-1.16.5:\n",
      "      Successfully uninstalled numpy-1.16.5\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: Could not install packages due to an EnvironmentError: [WinError 5] Access is denied: 'c:\\\\users\\\\saurmisr\\\\appdata\\\\local\\\\continuum\\\\anaconda3\\\\lib\\\\site-packages\\\\~umpy\\\\core\\\\_multiarray_tests.cp37-win_amd64.pyd'\n",
      "Consider using the `--user` option or check the permissions.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!pip install --upgrade numpy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1.16.5'"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.version.version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6])"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.arange(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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