{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c93b837c-4072-41e8-beab-f1dcb775f2b0",
   "metadata": {
    "tags": []
   },
   "source": [
    "Verificación de rangos numéricos y de fecha --- 10:06 min\n",
    "===\n",
    "\n",
    "* 10:06 min | Última modificación: Octubre 14, 2021 | [YouTube](https://youtu.be/W22Kr9LGw6I)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cdbf76da-a6b0-40e9-8449-b918908cab1e",
   "metadata": {},
   "source": [
    "Rangos numéricos\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9c8c7d5a-006c-4ef2-8396-37a32adf6292",
   "metadata": {},
   "source": [
    "Opciones:\n",
    "\n",
    "* Borrado del registro.\n",
    "\n",
    "* Conversión a nulo.\n",
    "\n",
    "* Corrección al máximo o mínimo.\n",
    "\n",
    "* Imputación como si fuere un valor nulo.\n",
    "\n",
    "* Actualización a un valor preestablecido."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6783233f-dc00-472f-bcf1-3d0a747a92ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting /tmp/data.csv\n"
     ]
    }
   ],
   "source": [
    "%%writefile /tmp/data.csv\n",
    "personId,rangecol\n",
    "1,1\n",
    "2,3\n",
    "3,2\n",
    "4,10\n",
    "5,0\n",
    "6,1\n",
    "7,10\n",
    "8,9"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b787734e-b347-41a5-a8d8-67609cd8bf53",
   "metadata": {},
   "source": [
    "Los valores de la columna `rangecol` están restringidos al rango [1, 2, 3]."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c254af73-15fb-4ba7-8953-1066f436d26d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3    10\n",
       "4     0\n",
       "6    10\n",
       "7     9\n",
       "Name: rangecol, dtype: int64"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('/tmp/data.csv')\n",
    "\n",
    "#\n",
    "# registros que no cumplen la restricción.\n",
    "#\n",
    "df[(df.rangecol < 1) | (df.rangecol > 3)].rangecol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8d9475c3-27c6-448e-918f-b22b346f5244",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>personId</th>\n",
       "      <th>rangecol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>5</th>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   personId  rangecol\n",
       "0         1         1\n",
       "1         2         3\n",
       "2         3         2\n",
       "3         4         3\n",
       "4         5         1\n",
       "5         6         1\n",
       "6         7         3\n",
       "7         8         3"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Se convierten valores > 3 a 3 y valoes < 1 a 1\n",
    "#\n",
    "df.rangecol[df.rangecol > 3] = 3\n",
    "df.rangecol[df.rangecol < 1] = 1\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0c02892a-e65b-44c2-8167-5efea402cd69",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>personId</th>\n",
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      "text/plain": [
       "   personId  rangecol\n",
       "0         1         1\n",
       "1         2         3\n",
       "2         3         2\n",
       "5         6         1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('/tmp/data.csv')\n",
    "\n",
    "#\n",
    "# Borrado de registros que no están en el rango\n",
    "# mediante selección\n",
    "#\n",
    "df = df[(df.rangecol >= 1) & (df.rangecol <= 3)]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "edc1c760-45f7-4420-8272-df3ce2d7cbc1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>personId</th>\n",
       "      <th>rangecol</th>\n",
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       "  <tbody>\n",
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      "text/plain": [
       "   personId  rangecol\n",
       "0         1         1\n",
       "1         2         3\n",
       "2         3         2\n",
       "5         6         1"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"/tmp/data.csv\")\n",
    "\n",
    "#\n",
    "# Borrado de registros que no están en el rango\n",
    "# usando la función drop()\n",
    "#\n",
    "df.drop(\n",
    "    df[(df.rangecol < 1) | (df.rangecol > 3)].index,\n",
    "    inplace=True,\n",
    ")\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8740f93-ff07-47a0-b213-67e2bb4e3bc4",
   "metadata": {},
   "source": [
    "Rangos de fecha\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "95795fe8-31d6-4066-957b-f03e0d1f73b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting /tmp/data.csv\n"
     ]
    }
   ],
   "source": [
    "%%writefile /tmp/data.csv\n",
    "eventId,eventDate\n",
    "1,2012-01-10\n",
    "2,1900-12-23\n",
    "3,2018-09-17\n",
    "4,2019-11-15\n",
    "5,2020-04-23\n",
    "6,2025-07-03\n",
    "7,2020-02-17\n",
    "8,2017-08-12\n",
    "9,2015-06-24"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e1624500-b65b-497e-bf10-6e9a9ea83873",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>eventId</th>\n",
       "      <th>eventDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2012-01-10</td>\n",
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       "      <td>1900-12-23</td>\n",
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       "      <td>2018-09-17</td>\n",
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       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2019-11-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2020-04-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>2025-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>2020-02-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>2017-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>2015-06-24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   eventId   eventDate\n",
       "0        1  2012-01-10\n",
       "1        2  1900-12-23\n",
       "2        3  2018-09-17\n",
       "3        4  2019-11-15\n",
       "4        5  2020-04-23\n",
       "5        6  2025-07-03\n",
       "6        7  2020-02-17\n",
       "7        8  2017-08-12\n",
       "8        9  2015-06-24"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "eventId       int64\n",
       "eventDate    object\n",
       "dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('/tmp/data.csv')\n",
    "\n",
    "display(\n",
    "    df,\n",
    "    df.dtypes\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1f309d81-3b49-40e1-8b7d-b773cbad4d9e",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>eventId</th>\n",
       "      <th>eventDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>2012-01-10</td>\n",
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       "      <td>1900-12-23</td>\n",
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       "      <td>3</td>\n",
       "      <td>2018-09-17</td>\n",
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       "      <td>2019-11-15</td>\n",
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       "      <td>5</td>\n",
       "      <td>2020-04-23</td>\n",
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       "      <td>8</td>\n",
       "      <td>2017-08-12</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>2015-06-24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   eventId  eventDate\n",
       "0        1 2012-01-10\n",
       "1        2 1900-12-23\n",
       "2        3 2018-09-17\n",
       "3        4 2019-11-15\n",
       "4        5 2020-04-23\n",
       "5        6 2025-07-03\n",
       "6        7 2020-02-17\n",
       "7        8 2017-08-12\n",
       "8        9 2015-06-24"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "eventId               int64\n",
       "eventDate    datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#\n",
    "# Cambio del tipo de dato de 'eventDate' a datetime\n",
    "#\n",
    "df.eventDate = pd.to_datetime(df.eventDate)\n",
    "\n",
    "display(\n",
    "    df,\n",
    "    df.dtypes\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1e07f45-1420-4f73-9bd0-b83fde78077a",
   "metadata": {},
   "source": [
    "Rango de fechas:\n",
    "\n",
    "     1950-01-01\n",
    "     Fecha actual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "283e6386-b70c-4cfa-adb5-e4ce2f61c582",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2021-09-15 00:00:00')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime as dt\n",
    "\n",
    "today = pd.to_datetime(dt.date.today())\n",
    "today"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1203d502-bd97-4de1-b1be-a4fffd2f8531",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>eventId</th>\n",
       "      <th>eventDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>1900-12-23</td>\n",
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      ],
      "text/plain": [
       "   eventId  eventDate\n",
       "1        2 1900-12-23\n",
       "5        6 2025-07-03"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#\n",
    "# Verificación de restricciones\n",
    "#\n",
    "df[(df.eventDate < pd.to_datetime('1950-01-01')) | (df.eventDate > today)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e905ec02-4671-4a2b-be75-ce38efc36b0c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>eventId</th>\n",
       "      <th>eventDate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2012-01-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1950-01-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2018-09-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2019-11-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2020-04-23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>2021-09-15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>2020-02-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>2017-08-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>2015-06-24</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   eventId  eventDate\n",
       "0        1 2012-01-10\n",
       "1        2 1950-01-01\n",
       "2        3 2018-09-17\n",
       "3        4 2019-11-15\n",
       "4        5 2020-04-23\n",
       "5        6 2021-09-15\n",
       "6        7 2020-02-17\n",
       "7        8 2017-08-12\n",
       "8        9 2015-06-24"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "eventId               int64\n",
       "eventDate    datetime64[ns]\n",
       "dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.loc[\n",
    "    df.eventDate < \"1950-01-01\",\n",
    "    \"eventDate\",\n",
    "] = pd.to_datetime(\"1950-01-01\")\n",
    "\n",
    "\n",
    "df.loc[\n",
    "    df.eventDate > today, \n",
    "    \"eventDate\"\n",
    "] = today\n",
    "\n",
    "display(\n",
    "    df,\n",
    "    df.dtypes\n",
    ")"
   ]
  }
 ],
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