corona/data_type_change

data_type_change.ipynb

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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 770 entries, 0 to 769\n",
      "Data columns (total 8 columns):\n",
      "Sno               770 non-null int64\n",
      "Date              770 non-null object\n",
      "Province/State    585 non-null object\n",
      "Country           770 non-null object\n",
      "Last Update       770 non-null object\n",
      "Confirmed         770 non-null float64\n",
      "Deaths            770 non-null float64\n",
      "Recovered         770 non-null float64\n",
      "dtypes: float64(3), int64(1), object(4)\n",
      "memory usage: 48.2+ KB\n",
      "\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 770 entries, 0 to 769\n",
      "Data columns (total 8 columns):\n",
      "Sno               770 non-null int64\n",
      "Date              770 non-null datetime64[ns]\n",
      "Province/State    585 non-null object\n",
      "Country           770 non-null object\n",
      "Last Update       770 non-null object\n",
      "Confirmed         770 non-null float64\n",
      "Deaths            770 non-null float64\n",
      "Recovered         770 non-null float64\n",
      "dtypes: datetime64[ns](1), float64(3), int64(1), object(3)\n",
      "memory usage: 48.2+ KB\n"
     ]
    },
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sno</th>\n",
       "      <th>Date</th>\n",
       "      <th>Province/State</th>\n",
       "      <th>Country</th>\n",
       "      <th>Last Update</th>\n",
       "      <th>Confirmed</th>\n",
       "      <th>Deaths</th>\n",
       "      <th>Recovered</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Anhui</td>\n",
       "      <td>China</td>\n",
       "      <td>01/22/2020 12:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Beijing</td>\n",
       "      <td>China</td>\n",
       "      <td>01/22/2020 12:00:00</td>\n",
       "      <td>14.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Chongqing</td>\n",
       "      <td>China</td>\n",
       "      <td>01/22/2020 12:00:00</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Fujian</td>\n",
       "      <td>China</td>\n",
       "      <td>01/22/2020 12:00:00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>Gansu</td>\n",
       "      <td>China</td>\n",
       "      <td>01/22/2020 12:00:00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sno        Date Province/State Country          Last Update  Confirmed  \\\n",
       "0    1  2020-01-22          Anhui   China  01/22/2020 12:00:00        1.0   \n",
       "1    2  2020-01-22        Beijing   China  01/22/2020 12:00:00       14.0   \n",
       "2    3  2020-01-22      Chongqing   China  01/22/2020 12:00:00        6.0   \n",
       "3    4  2020-01-22         Fujian   China  01/22/2020 12:00:00        1.0   \n",
       "4    5  2020-01-22          Gansu   China  01/22/2020 12:00:00        0.0   \n",
       "\n",
       "   Deaths  Recovered  \n",
       "0     0.0        0.0  \n",
       "1     0.0        0.0  \n",
       "2     0.0        0.0  \n",
       "3     0.0        0.0  \n",
       "4     0.0        0.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's look at the column data types\n",
    "\n",
    "df.info()\n",
    "\n",
    "# Convert Date column to datetime64 format\n",
    "\n",
    "df['Date'] = df['Date'].apply(pd.to_datetime)\n",
    "\n",
    "# Check whether the Date data type was successfully changed to datetime64\n",
    "\n",
    "print(\"\\n\")\n",
    "df.info()\n",
    "\n",
    "# Access date element from Date column\n",
    "\n",
    "df['Date'] = df['Date'].dt.date\n",
    "\n",
    "display(df.head())"
   ]
  }
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