Annotations of Pandas DataFrame

escola.xlsx

gen_names_xlsx.ipynb

gen_random_values.ipynb

import_xlsx_to_django_database.ipynb

import_xlsx_to_django_database2.ipynb

pandas.ipynb

remove_duplicated.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import names\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_names(max_value):\n",
    "    persons = []\n",
    "    for _ in range(max_value):\n",
    "        first_name = names.get_first_name()\n",
    "        last_name = names.get_last_name()\n",
    "        full_name = '%s %s' % (first_name, last_name)\n",
    "        email = '%[email protected]' % first_name.lower()\n",
    "        ctx = (full_name, email)\n",
    "        persons.append(ctx)\n",
    "    return persons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "names = gen_names(100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(names, columns=('NAME', 'EMAIL'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>EMAIL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Albert Cunningham</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Allen Martinez</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Amalia Mouret</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Amanda Mcmahan</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ann Rountree</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 NAME             EMAIL\n",
       "68  Albert Cunningham  [email protected]\n",
       "72     Allen Martinez   [email protected]\n",
       "73      Amalia Mouret  [email protected]\n",
       "62     Amanda Mcmahan  [email protected]\n",
       "28       Ann Rountree     [email protected]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sort_values(by=['EMAIL']).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NAME</th>\n",
       "      <th>EMAIL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Gregory Crittendon</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Gregory Thomson</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Juan Brown</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Juan May</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Kathleen Anderson</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Kathleen Webb</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Paul Nelson</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Paul Morris</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Rene Warthen</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Rene Kidd</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>William Hunter</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>William Hayes</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  NAME               EMAIL\n",
       "16  Gregory Crittendon   [email protected]\n",
       "54     Gregory Thomson   [email protected]\n",
       "39          Juan Brown      [email protected]\n",
       "86            Juan May      [email protected]\n",
       "58   Kathleen Anderson  [email protected]\n",
       "74       Kathleen Webb  [email protected]\n",
       "53         Paul Nelson      [email protected]\n",
       "69         Paul Morris      [email protected]\n",
       "0         Rene Warthen      [email protected]\n",
       "24           Rene Kidd      [email protected]\n",
       "25      William Hunter   [email protected]\n",
       "47       William Hayes   [email protected]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "email = df['EMAIL']\n",
    "dfd = df[email.isin(email[email.duplicated()])]\n",
    "dfd.sort_values(by=['EMAIL'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dffinal = df.drop_duplicates('EMAIL').sort_values(by=['EMAIL'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>NAME</th>\n",
       "      <th>EMAIL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>68</td>\n",
       "      <td>Albert Cunningham</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>72</td>\n",
       "      <td>Allen Martinez</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>73</td>\n",
       "      <td>Amalia Mouret</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>62</td>\n",
       "      <td>Amanda Mcmahan</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>Ann Rountree</td>\n",
       "      <td>[email protected]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index               NAME             EMAIL\n",
       "0     68  Albert Cunningham  [email protected]\n",
       "1     72     Allen Martinez   [email protected]\n",
       "2     73      Amalia Mouret  [email protected]\n",
       "3     62     Amanda Mcmahan  [email protected]\n",
       "4     28       Ann Rountree     [email protected]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dffinal.reset_index().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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separe_email.ipynb