Assignment-7.ipynb

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    {
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     "text": [
      "[0 1 2 3 4 5 6 7 8 9]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "arr = np.arange(0,10)\n",
    "print(arr)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
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     "text": [
      "45\n"
     ]
    }
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   "source": [
    "sum=0\n",
    "for i in arr:\n",
    "    sum=sum+i\n",
    "print(sum)\n",
    "    "
   ]
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   "cell_type": "code",
   "execution_count": 5,
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     "data": {
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       "9"
      ]
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     "execution_count": 5,
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   "source": [
    "arr.argmax()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[24, 56, 78],\n",
       "       [90, 78, 34]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst=[24,56,78]\n",
    "lst2=[90,78,34]\n",
    "arr1 =np.array([lst,lst2])\n",
    "arr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[78, 34],\n",
       "       [56, 78],\n",
       "       [24, 90]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.rot90(arr1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "arr2=np.array_split(arr,3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([0, 1, 2, 3]), array([4, 5, 6]), array([7, 8, 9])]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t=arr2\n",
    "arr2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([7, 8, 9]), array([4, 5, 6]), array([0, 1, 2, 3])]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.reverse()\n",
    "t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def monotonic(array):\n",
    "    decreasing=False\n",
    "    if (array[0] > array[1]):\n",
    "        decreasing = True\n",
    "    for i in range(len(array)-1):\n",
    "        if (array[i]<array[i+1] and decreasing or array[i]>arr[i+1] and not decreasing):\n",
    "            return False\n",
    "    return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n",
      "False\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "print(monotonic([1,2,3,4,8]))\n",
    "print(monotonic([1,2,3,5,4,6]))\n",
    "print(monotonic([10,9,8,7,6]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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