numpy_array_search_4.ipynb

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     "text": [
      "(array([5, 6, 9]),)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "arr = np.array([1, 2, 3, 4, 5, 6, 6,9,8,6])\n",
    "\n",
    "x = np.where(arr == 6)\n",
    "\n",
    "print(x) "
   ]
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     "text": [
      "(array([2]),)\n"
     ]
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   ],
   "source": [
    "x = np.where(arr == 3)\n",
    "\n",
    "print(x) "
   ]
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   "id": "98c48592-9f9b-4f4b-b8f2-aebf19cdf5f6",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),)\n"
     ]
    }
   ],
   "source": [
    "arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20])\n",
    "\n",
    "x = np.where(arr%2 == 0) # finding odd numbers\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5c2929b5-2a25-48ed-ba12-8a72ef98e579",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18]),)\n"
     ]
    }
   ],
   "source": [
    "x = np.where(arr%2 != 0) # finding even numbers\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e72a1ca1-04e1-4384-9fe6-c65e8a901061",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "arr = np.array([6, 7, 8, 9, 7, 7, 9, 10, 7])\n",
    "\n",
    "x = np.searchsorted(arr, 7)\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d63759d6-d4c7-4d44-9265-737179c59876",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7\n"
     ]
    }
   ],
   "source": [
    "x = np.searchsorted(arr, 10)\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "be378d08-a12d-4cd0-ae35-345df00d1544",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6\n"
     ]
    }
   ],
   "source": [
    "x = np.searchsorted(arr, 7, side='right')\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6fe5fdee-af60-4e68-92d2-b2736b3db197",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "x = np.searchsorted(arr, 1, side='right')\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f0b18f1c-0863-4269-add2-6928bc074ff9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9\n"
     ]
    }
   ],
   "source": [
    "x = np.searchsorted(arr, 10, side='right')\n",
    "print(x) "
   ]
  },
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   "cell_type": "code",
   "execution_count": 12,
   "id": "00e3b85d-45f9-4271-b688-7ff445337cad",
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "[1 2 3]\n"
     ]
    }
   ],
   "source": [
    "arr = np.array([1, 3, 5, 7, 9, 6])\n",
    "\n",
    "x = np.searchsorted(arr, [2, 4, 6])\n",
    "\n",
    "print(x) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f23fa975-f194-4247-b6b4-39ed9077c554",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 3 5 7 9 6]\n"
     ]
    }
   ],
   "source": [
    "print(arr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "ee437b21-3fe7-4d9a-a529-bc386f779b98",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(array([0, 1, 2]),)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "arr = np.array([13, 39, 11, 46])\n",
    "x = np.where(arr%2 == 1)\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5723a07a-9af6-4dde-bd7b-7f57fba3e2a0",
   "metadata": {},
   "outputs": [],
   "source": []
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