Code/read_csv_ParseDate.ipynb

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   "cell_type": "code",
   "execution_count": 32,
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   "source": [
    "#import libraries\n",
    "import pandas as pd"
   ]
  },
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   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read dataset\n",
    "data = pd.read_csv(\"../Data/AirQualityUCI.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date           object\n",
       "Time           object\n",
       "CO(GT)          int64\n",
       "PT08.S1(CO)     int64\n",
       "NMHC(GT)        int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Parse Dates in read_csv()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"../Data/AirQualityUCI.csv\", parse_dates = [\"Date\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date           datetime64[ns]\n",
       "Time                   object\n",
       "CO(GT)                  int64\n",
       "PT08.S1(CO)             int64\n",
       "NMHC(GT)                int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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