Numpy.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b044e007",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "06c31ba9",
   "metadata": {},
   "outputs": [],
   "source": [
    "my_lst = ([1,2,3,4,5,6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed7e7bc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "arr = np.array(my_lst)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f45ce847",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4, 5, 6]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "afc8e669",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numpy.ndarray"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "94709088",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1, 6)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr.shape #1 represent dimension of list and 6 represent number of elements in each array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4a4d8a13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[1, 2, 3],\n",
       "        [4, 5, 6]],\n",
       "\n",
       "       [[7, 8, 9],\n",
       "        [4, 3, 8]]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xyz =np.array([[[1,2,3],[4,5,6]],[[7,8,9],[4,3,8]]])\n",
    "xyz"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "99c53c09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 2, 3)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xyz.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "94f7b4b4",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'ar' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[18], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mar\u001b[49m\u001b[38;5;241m.\u001b[39mreshape(\u001b[38;5;241m5\u001b[39m,\u001b[38;5;241m3\u001b[39m)\n",
      "\u001b[1;31mNameError\u001b[0m: name 'ar' is not defined"
     ]
    }
   ],
   "source": [
    "ar.reshape(5,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "93930ed2",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'lst' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[19], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m##multinested array\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m \u001b[43mlst\u001b[49m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'lst' is not defined"
     ]
    }
   ],
   "source": [
    "##multinested array\n",
    "lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e0be1e6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6],\n",
       "       [7, 8, 9]])"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr1=np.array([[1,2,3],[4,5,6],[7,8,9]])\n",
    "arr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2c6c9a04",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 3)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr1.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "965a30a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "ar =[1,2,3,4,5]\n",
    "ar =[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4eec33cc",
   "metadata": {},
   "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": [
    "arr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "13c06937",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [4, 5, 6],\n",
       "       [7, 8, 9]])"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr1=np.array([[1,2,3],[4,5,6],[7,8,9]])\n",
    "arr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1a509372",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2],\n",
       "       [4, 5],\n",
       "       [7, 8]])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr1[0:,:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "64ba93cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4, 5],\n",
       "       [4, 5, 6, 2, 8],\n",
       "       [7, 8, 9, 2, 1]])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr2=np.array([[1,2,3,4,5],[4,5,6,2,8],[7,8,9,2,1]])\n",
    "arr2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "576a603f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[4, 5, 6, 2, 8],\n",
       "       [7, 8, 9, 2, 1]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr2[1:,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "005aa9cf",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "cannot reshape array of size 15 into shape (1,3)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[56], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43marr2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreshape\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\n",
      "\u001b[1;31mValueError\u001b[0m: cannot reshape array of size 15 into shape (1,3)"
     ]
    }
   ],
   "source": [
    "arr2.reshape(1,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8156781c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4, 5, 6]])"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "fd8f7c04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3, 4, 5, 6]])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr[3:] = 100\n",
    "arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "d9c10d91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6])"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr3=np.array([1,2,3,4,5,6])\n",
    "arr3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "917b8303",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([  1,   2,   3, 100, 100, 100])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "arr3[3:]= 100\n",
    "arr3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5e99d917",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 2, 3, 4],\n",
       "       [5, 6, 7, 8, 9]])"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x1 = np.arange(0,10).reshape(2,5) # arange takes random value from given range\n",
    "x1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0cdd2d19",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0, 1, 2, 3, 4],\n",
       "       [5, 6, 7, 8, 9]])"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x2 = np.arange(0,10).reshape(2,5)\n",
    "x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "378695aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0,  2,  4,  6,  8],\n",
       "       [10, 12, 14, 16, 18]])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x1 + x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e4edb579",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0,  1,  4,  9, 16],\n",
       "       [25, 36, 49, 64, 81]])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x1*x2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3821556e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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