Number of drivers time by day (modeled).ipynb

{
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   "cell_type": "code",
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   "id": "8a3a1e76",
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    {
     "ename": "AttributeError",
     "evalue": "partially initialized module 'pandas' has no attribute 'core' (most likely due to a circular import)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-4-421c56cefb81>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mpd\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;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mcsv\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mrandom\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mmath\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Miniconda\\envs\\myenv\\lib\\site-packages\\pandas\\__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m    133\u001b[0m )\n\u001b[0;32m    134\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 135\u001b[1;33m \u001b[1;32mfrom\u001b[0m \u001b[0mpandas\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mapi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0marrays\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mio\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mplotting\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtesting\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtseries\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    136\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0mpandas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mutil\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_print_versions\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mshow_versions\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    137\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Miniconda\\envs\\myenv\\lib\\site-packages\\pandas\\testing.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m from pandas._testing import (\n\u001b[0m\u001b[0;32m      7\u001b[0m     \u001b[0massert_extension_array_equal\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      8\u001b[0m     \u001b[0massert_frame_equal\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mD:\\Miniconda\\envs\\myenv\\lib\\site-packages\\pandas\\_testing\\__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m    977\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    978\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 979\u001b[1;33m \u001b[0mcython_table\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcore\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcommon\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_cython_table\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mitems\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[0m\u001b[0;32m    980\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    981\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: partially initialized module 'pandas' has no attribute 'core' (most likely due to a circular import)"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import csv\n",
    "import random\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a4083d39",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('file name')\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2caa11dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "Num = [0 for i in range(24)]\n",
    "for i in range(len(data)):\n",
    "    start = data['Start Time'][i]\n",
    "    dur = data['Duration'][i]\n",
    "    for j in range(dur):\n",
    "        if(start+j<=23):\n",
    "            Num[int(start+j)]+=1\n",
    "        else:\n",
    "            Num[int(start+j-24)]+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e690c867",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(Num)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c49df17",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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