cifras-y-letras.ipynb

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   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from numpy.random import choice\n",
    "\n",
    "import joblib\n",
    "import datetime\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from cyl import cuantas_vocales, cuantas_letras, generar_juego, es_solucion, mejor_solucion, reemplazar_acentos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e095ee5e-2cd5-4e06-9b3d-99cf7d97eb8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mgenerar_juego\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnvocales\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Genera una secuencia aleatoria de 10 letras con un número específico de vocales.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "nvocales : int, optional\n",
       "    El número de vocales que debe tener la secuencia. Por defecto es 5.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "list of str\n",
       "    La lista de 10 letras con el número especificado de vocales.\n",
       "\n",
       "Examples\n",
       "--------\n",
       ">>> generar_juego(3)\n",
       "['a', 'e', 'i', 'b', 'c', 'd', 'f', 'g', 'h', 'j']  # Ejemplo de salida\n",
       "\u001b[0;31mFile:\u001b[0m      ~/Documentos/git/cifras-y-letras/cyl/cyl.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "generar_juego?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "77429cad-b761-4064-af90-82c94959725e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "6\n",
      "5\n",
      "4\n"
     ]
    }
   ],
   "source": [
    "print(cuantas_vocales('dos'))\n",
    "print(cuantas_letras('sábado'))\n",
    "print(cuantas_vocales('murciélago'))\n",
    "print(cuantas_vocales('pingüino'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f7d934d6-cf3f-46b9-89d2-58181c9e46bf",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Palabra</th>\n",
       "      <th>Vocales</th>\n",
       "      <th>Letras</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>aba</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ába</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>abaá</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ababilla</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "    Palabra  Vocales  Letras\n",
       "0         a        1       1\n",
       "1       aba        2       3\n",
       "2       ába        2       3\n",
       "3      abaá        3       4\n",
       "4  ababilla        4       8"
      ]
     },
     "execution_count": 6,
     "metadata": {},
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    }
   ],
   "source": [
    "rae = pd.read_csv('./data/rae.txt', header = None, )\n",
    "rae.columns = ['Palabra']\n",
    "rae['Vocales'] = rae['Palabra'].apply(cuantas_vocales, )\n",
    "rae['Letras'] = rae['Palabra'].apply(cuantas_letras, )\n",
    "rae.head(5)"
   ]
  },
  {
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   "execution_count": 7,
   "id": "e4d7ceef-c58b-4c98-b67f-b20c831ae6dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1        530\n",
       "2      17769\n",
       "3      91377\n",
       "4     187616\n",
       "5     193288\n",
       "6     110767\n",
       "7      36450\n",
       "8       7347\n",
       "9       1211\n",
       "10       214\n",
       "11        20\n",
       "0         26\n",
       "Name: Vocales, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
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   ],
   "source": [
    "rae['Vocales'].value_counts(sort = False)"
   ]
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  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a45b6ce1-ea49-45b0-b855-0f46ba790f60",
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    {
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       "1         27\n",
       "3        584\n",
       "4       3814\n",
       "8      75136\n",
       "10    101287\n",
       "12     74444\n",
       "13     52394\n",
       "11     93834\n",
       "9      93598\n",
       "14     30897\n",
       "6      28267\n",
       "5      12614\n",
       "7      50805\n",
       "15     16218\n",
       "16      7521\n",
       "17      2987\n",
       "18      1261\n",
       "2        103\n",
       "19       501\n",
       "20       195\n",
       "22        32\n",
       "21        89\n",
       "23         4\n",
       "26         2\n",
       "24         1\n",
       "Name: Letras, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rae['Letras'].value_counts(sort = False)"
   ]
  },
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   "execution_count": 9,
   "id": "e4286217-e638-4954-8e04-84bd6bc7e240",
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Palabra</th>\n",
       "      <th>Vocales</th>\n",
       "      <th>Letras</th>\n",
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       "      <th>522536</th>\n",
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       "      <td>1</td>\n",
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      "text/plain": [
       "       Palabra  Vocales  Letras\n",
       "98033        b        0       1\n",
       "115431       c        0       1\n",
       "134820      ch        0       2\n",
       "182216       d        0       1\n",
       "360951       f        0       1\n",
       "376147       g        0       1\n",
       "389477       h        0       1\n",
       "419952       j        0       1\n",
       "425500       k        0       1\n",
       "425697       l        0       1\n",
       "435044      ll        0       2\n",
       "438197       m        0       1\n",
       "466801       n        0       1\n",
       "466802       ñ        0       1\n",
       "480052       p        0       1\n",
       "489449    pchs        0       4\n",
       "522536       q        0       1\n",
       "524577       r        0       1\n",
       "570846      rr        0       2\n",
       "572346       s        0       1\n",
       "600063       t        0       1\n",
       "630283       v        0       1\n",
       "640981       w        0       1\n",
       "641022       x        0       1\n",
       "641190       y        0       1\n",
       "642035       z        0       1"
      ]
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     "execution_count": 9,
     "metadata": {},
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   ],
   "source": [
    "rae.loc[rae.Vocales == 0, :]"
   ]
  },
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   "execution_count": 10,
   "id": "cfd37391-5201-4834-885f-0054fceae5d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Letras'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "    x = rae['Letras'].value_counts(normalize = True).index,\n",
    "    y = rae['Letras'].value_counts(normalize = True),\n",
    "    color = 'gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a6199ac2-d23d-43d8-a187-b082ba80264e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Vocales'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "    x = rae.loc[rae.Letras == 10, 'Vocales'].value_counts(normalize = True).index,\n",
    "    y = rae.loc[rae.Letras == 10, 'Vocales'].value_counts(normalize = True),\n",
    "    color = 'gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f47f598c-746e-4b08-aa66-afd7975b5890",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Vocales'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "    x = rae.loc[rae.Letras == 9, 'Vocales'].value_counts(normalize = True).index,\n",
    "    y = rae.loc[rae.Letras == 9, 'Vocales'].value_counts(normalize = True),\n",
    "    color = 'gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7efa7aa7-caed-4121-8dc5-5081b5926ed1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='Vocales'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(\n",
    "    x = rae.loc[rae.Letras == 8, 'Vocales'].value_counts(normalize = True).index,\n",
    "    y = rae.loc[rae.Letras == 8, 'Vocales'].value_counts(normalize = True),\n",
    "    color = 'gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7d96fd34-bc84-4478-a416-eed05b507ff8",
   "metadata": {
    "tags": []
   },
   "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>Vocales</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Letras</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.814815</td>\n",
       "      <td>0.185185</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.029126</td>\n",
       "      <td>0.941748</td>\n",
       "      <td>0.029126</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.417808</td>\n",
       "      <td>0.580479</td>\n",
       "      <td>0.001712</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.000262</td>\n",
       "      <td>0.034347</td>\n",
       "      <td>0.897745</td>\n",
       "      <td>0.067646</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.003488</td>\n",
       "      <td>0.592675</td>\n",
       "      <td>0.401538</td>\n",
       "      <td>0.002299</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000318</td>\n",
       "      <td>0.188701</td>\n",
       "      <td>0.747904</td>\n",
       "      <td>0.063077</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021199</td>\n",
       "      <td>0.661096</td>\n",
       "      <td>0.314398</td>\n",
       "      <td>0.003307</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001304</td>\n",
       "      <td>0.311422</td>\n",
       "      <td>0.633864</td>\n",
       "      <td>0.053370</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000139</td>\n",
       "      <td>0.071935</td>\n",
       "      <td>0.677482</td>\n",
       "      <td>0.246202</td>\n",
       "      <td>0.004231</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000039</td>\n",
       "      <td>0.010228</td>\n",
       "      <td>0.412699</td>\n",
       "      <td>0.529041</td>\n",
       "      <td>0.047844</td>\n",
       "      <td>0.000148</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.001641</td>\n",
       "      <td>0.151448</td>\n",
       "      <td>0.646461</td>\n",
       "      <td>0.195324</td>\n",
       "      <td>0.005115</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>0.032615</td>\n",
       "      <td>0.491685</td>\n",
       "      <td>0.434259</td>\n",
       "      <td>0.041158</td>\n",
       "      <td>0.000255</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000019</td>\n",
       "      <td>0.006566</td>\n",
       "      <td>0.239264</td>\n",
       "      <td>0.601004</td>\n",
       "      <td>0.148109</td>\n",
       "      <td>0.005039</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000324</td>\n",
       "      <td>0.077419</td>\n",
       "      <td>0.546331</td>\n",
       "      <td>0.344370</td>\n",
       "      <td>0.031136</td>\n",
       "      <td>0.000421</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016771</td>\n",
       "      <td>0.328154</td>\n",
       "      <td>0.540881</td>\n",
       "      <td>0.109570</td>\n",
       "      <td>0.004624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002393</td>\n",
       "      <td>0.142534</td>\n",
       "      <td>0.570403</td>\n",
       "      <td>0.261401</td>\n",
       "      <td>0.023135</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031470</td>\n",
       "      <td>0.392702</td>\n",
       "      <td>0.484433</td>\n",
       "      <td>0.087713</td>\n",
       "      <td>0.003683</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.007137</td>\n",
       "      <td>0.187946</td>\n",
       "      <td>0.544013</td>\n",
       "      <td>0.235527</td>\n",
       "      <td>0.024584</td>\n",
       "      <td>0.000793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035928</td>\n",
       "      <td>0.383234</td>\n",
       "      <td>0.495010</td>\n",
       "      <td>0.083832</td>\n",
       "      <td>0.001996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.174359</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>0.282051</td>\n",
       "      <td>0.010256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.348315</td>\n",
       "      <td>0.595506</td>\n",
       "      <td>0.056180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>0.593750</td>\n",
       "      <td>0.218750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Vocales        0         1         2         3         4         5         6   \\\n",
       "Letras                                                                          \n",
       "1        0.814815  0.185185  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "2        0.029126  0.941748  0.029126  0.000000  0.000000  0.000000  0.000000   \n",
       "3        0.000000  0.417808  0.580479  0.001712  0.000000  0.000000  0.000000   \n",
       "4        0.000262  0.034347  0.897745  0.067646  0.000000  0.000000  0.000000   \n",
       "5        0.000000  0.003488  0.592675  0.401538  0.002299  0.000000  0.000000   \n",
       "6        0.000000  0.000318  0.188701  0.747904  0.063077  0.000000  0.000000   \n",
       "7        0.000000  0.000000  0.021199  0.661096  0.314398  0.003307  0.000000   \n",
       "8        0.000000  0.000000  0.001304  0.311422  0.633864  0.053370  0.000040   \n",
       "9        0.000000  0.000000  0.000139  0.071935  0.677482  0.246202  0.004231   \n",
       "10       0.000000  0.000000  0.000039  0.010228  0.412699  0.529041  0.047844   \n",
       "11       0.000000  0.000000  0.000011  0.001641  0.151448  0.646461  0.195324   \n",
       "12       0.000000  0.000000  0.000000  0.000027  0.032615  0.491685  0.434259   \n",
       "13       0.000000  0.000000  0.000000  0.000019  0.006566  0.239264  0.601004   \n",
       "14       0.000000  0.000000  0.000000  0.000000  0.000324  0.077419  0.546331   \n",
       "15       0.000000  0.000000  0.000000  0.000000  0.000000  0.016771  0.328154   \n",
       "16       0.000000  0.000000  0.000000  0.000000  0.000000  0.002393  0.142534   \n",
       "17       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.031470   \n",
       "18       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.007137   \n",
       "19       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "20       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "21       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "22       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "23       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "24       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "26       0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "\n",
       "Vocales        7         8         9         10        11  \n",
       "Letras                                                     \n",
       "1        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "2        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "3        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "4        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "5        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "6        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "7        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "8        0.000000  0.000000  0.000000  0.000000  0.000000  \n",
       "9        0.000011  0.000000  0.000000  0.000000  0.000000  \n",
       "10       0.000148  0.000000  0.000000  0.000000  0.000000  \n",
       "11       0.005115  0.000000  0.000000  0.000000  0.000000  \n",
       "12       0.041158  0.000255  0.000000  0.000000  0.000000  \n",
       "13       0.148109  0.005039  0.000000  0.000000  0.000000  \n",
       "14       0.344370  0.031136  0.000421  0.000000  0.000000  \n",
       "15       0.540881  0.109570  0.004624  0.000000  0.000000  \n",
       "16       0.570403  0.261401  0.023135  0.000133  0.000000  \n",
       "17       0.392702  0.484433  0.087713  0.003683  0.000000  \n",
       "18       0.187946  0.544013  0.235527  0.024584  0.000793  \n",
       "19       0.035928  0.383234  0.495010  0.083832  0.001996  \n",
       "20       0.000000  0.174359  0.533333  0.282051  0.010256  \n",
       "21       0.000000  0.000000  0.348315  0.595506  0.056180  \n",
       "22       0.000000  0.000000  0.187500  0.593750  0.218750  \n",
       "23       0.000000  0.000000  0.000000  0.500000  0.500000  \n",
       "24       0.000000  0.000000  1.000000  0.000000  0.000000  \n",
       "26       0.000000  0.000000  0.000000  0.000000  1.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(rae['Letras'], rae['Vocales'], normalize = 'index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "751048f2-75bb-4174-a5a6-d67688ed698f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows = 1, ncols = 1, figsize = (8,8))\n",
    "sns.heatmap(data = pd.crosstab(rae['Letras'], rae['Vocales'], normalize = 'index'), \n",
    "            cmap = 'gist_ncar_r',\n",
    "            annot = True, fmt = '.2f', vmin = 0, vmax = 1, ax = ax)\n",
    "\n",
    "ax.set_yticks([x+0.5 for x in range(0,25)], \n",
    "              [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,26],\n",
    "             rotation = 0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c5e84187-0f07-42b7-9b15-36777fe5a9e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['o', 'x', 'w', 'f', 'e', 'f', 'u', 'o', 'r', 'i']"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "generar_juego(nvocales = 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "73b82132-a738-4c5d-9a3a-4555e2273b55",
   "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>Palabra</th>\n",
       "      <th>Vocales</th>\n",
       "      <th>Letras</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>646614</th>\n",
       "      <td>zuzón</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86832</th>\n",
       "      <td>atesé</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86831</th>\n",
       "      <td>atese</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86787</th>\n",
       "      <td>atesá</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86786</th>\n",
       "      <td>atesa</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502911</th>\n",
       "      <td>plañe</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502995</th>\n",
       "      <td>plañí</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503088</th>\n",
       "      <td>plano</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503089</th>\n",
       "      <td>plaño</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86837</th>\n",
       "      <td>ateso</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Palabra  Vocales  Letras\n",
       "646614   zuzón        2       5\n",
       "86832    atesé        3       5\n",
       "86831    atese        3       5\n",
       "86787    atesá        3       5\n",
       "86786    atesa        3       5\n",
       "502911   plañe        2       5\n",
       "502995   plañí        2       5\n",
       "503088   plano        2       5\n",
       "503089   plaño        2       5\n",
       "86837    ateso        3       5"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "palabras_candidatas = rae.loc[((rae.Letras >= 5) & (rae.Letras <= 10))].sort_values(by = 'Letras')\n",
    "palabras_candidatas.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b9470ef4-d61a-444e-bc5d-6ef11d9d92bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "es_solucion(['s', 'o', 'n', 'i', 'a'], ['d', 's', 'o', 'w', 'n', 'i', 'o', 'a', 'l', 'u'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8da83018-2c20-4e89-bee7-3bf4287a7ba7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['o', 'u', 'u', 'y', 'i', 'a', 'd', 'd', 'y', 'r']\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['adurido', 7, 'ouuyiaddyr']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "propuesta_helena = generar_juego(nvocales = 5)\n",
    "print(propuesta_helena)\n",
    "mejor_solucion(propuesta_helena, palabras_candidatas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c8a65f5c-3f80-4e77-abc5-06a69d03f92a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ribetee', 7, 'eeptvbieer']"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mejor_solucion(list('eeptvbieer'), palabras_candidatas)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4564d62a-268d-4a83-a947-91af334bade1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m \u001b[0mmejor_solucion\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpropuesta_helena\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpalabras_candidatas\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Encuentra la mejor solución de palabra candidata que se puede formar con la propuesta dada.\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "propuesta_helena : list of str\n",
       "    La lista de letras propuestas para formar palabras.\n",
       "palabras_candidatas : DataFrame\n",
       "    Un DataFrame con una columna 'Palabra' que contiene las palabras candidatas.\n",
       "\n",
       "Returns\n",
       "-------\n",
       "list\n",
       "    Una lista con la última palabra que cumple los requisitos, su longitud y la propuesta.\n",
       "\n",
       "Examples\n",
       "--------\n",
       ">>> propuesta = ['a', 'b', 'c']\n",
       ">>> candidatas = pd.DataFrame({'Palabra': ['abc', 'abd', 'acd', 'acdb']})\n",
       ">>> mejor_solucion(propuesta, candidatas)\n",
       "['abc', 3, 'abc']\n",
       "\u001b[0;31mFile:\u001b[0m      ~/Documentos/git/cifras-y-letras/cyl/cyl.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "?mejor_solucion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "094b9848-84a8-4f69-a2ec-35b6bccb06ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "54\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[['posen', 5, 'snqvouuepm'],\n",
       " ['ponés', 5, 'snqvouuepm'],\n",
       " ['pones', 5, 'snqvouuepm'],\n",
       " ['peumo', 5, 'snqvouuepm'],\n",
       " ['pensó', 5, 'snqvouuepm'],\n",
       " ['quemo', 5, 'snqvouuepm'],\n",
       " ['quepo', 5, 'snqvouuepm'],\n",
       " ['queso', 5, 'snqvouuepm'],\n",
       " ['quemó', 5, 'snqvouuepm'],\n",
       " ['punes', 5, 'snqvouuepm'],\n",
       " ['opuse', 5, 'snqvouuepm'],\n",
       " ['nueso', 5, 'snqvouuepm'],\n",
       " ['nuevo', 5, 'snqvouuepm'],\n",
       " ['noves', 5, 'snqvouuepm'],\n",
       " ['noque', 5, 'snqvouuepm'],\n",
       " ['pemón', 5, 'snqvouuepm'],\n",
       " ['sumen', 5, 'snqvouuepm'],\n",
       " ['supón', 5, 'snqvouuepm'],\n",
       " ['sumun', 5, 'snqvouuepm'],\n",
       " ['sueno', 5, 'snqvouuepm'],\n",
       " ['suevo', 5, 'snqvouuepm'],\n",
       " ['sopen', 5, 'snqvouuepm'],\n",
       " ['empós', 5, 'snqvouuepm'],\n",
       " ['mensú', 5, 'snqvouuepm'],\n",
       " ['menso', 5, 'snqvouuepm'],\n",
       " ['menos', 5, 'snqvouuepm'],\n",
       " ['mesón', 5, 'snqvouuepm'],\n",
       " ['nevus', 5, 'snqvouuepm'],\n",
       " ['mosén', 5, 'snqvouuepm'],\n",
       " ['moque', 5, 'snqvouuepm'],\n",
       " ['moqué', 5, 'snqvouuepm'],\n",
       " ['monse', 5, 'snqvouuepm'],\n",
       " ['museo', 5, 'snqvouuepm'],\n",
       " ['mueso', 5, 'snqvouuepm'],\n",
       " ['movés', 5, 'snqvouuepm'],\n",
       " ['muevo', 5, 'snqvouuepm'],\n",
       " ['vemos', 5, 'snqvouuepm'],\n",
       " ['vueso', 5, 'snqvouuepm'],\n",
       " ['venus', 5, 'snqvouuepm'],\n",
       " ['ponqué', 6, 'snqvouuepm'],\n",
       " ['espumó', 6, 'snqvouuepm'],\n",
       " ['espumo', 6, 'snqvouuepm'],\n",
       " ['moques', 6, 'snqvouuepm'],\n",
       " ['moquen', 6, 'snqvouuepm'],\n",
       " ['upemos', 6, 'snqvouuepm'],\n",
       " ['puemos', 6, 'snqvouuepm'],\n",
       " ['quemón', 6, 'snqvouuepm'],\n",
       " ['musepo', 6, 'snqvouuepm'],\n",
       " ['mosque', 6, 'snqvouuepm'],\n",
       " ['mosqué', 6, 'snqvouuepm'],\n",
       " ['supone', 6, 'snqvouuepm'],\n",
       " ['suponé', 6, 'snqvouuepm'],\n",
       " ['pénsum', 6, 'snqvouuepm'],\n",
       " ['mosquen', 7, 'snqvouuepm']]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soluciones = []\n",
    "propuesta_helena = 'snqvouuepm'\n",
    "\n",
    "for palabra in palabras_candidatas['Palabra'].values:\n",
    "    if es_solucion(reemplazar_acentos(list(palabra)), propuesta_helena):\n",
    "        soluciones.append([palabra, len(palabra), ''.join(propuesta_helena)])\n",
    "\n",
    "print(len(soluciones))\n",
    "soluciones\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f40feef0-f94f-4d9f-afa2-b3ee83da9977",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "230\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[['asonó', 5, 'snqvocamio'],\n",
       " ['ascio', 5, 'snqvocamio'],\n",
       " ['asomó', 5, 'snqvocamio'],\n",
       " ['asomo', 5, 'snqvocamio'],\n",
       " ['asicó', 5, 'snqvocamio'],\n",
       " ['asico', 5, 'snqvocamio'],\n",
       " ['omaní', 5, 'snqvocamio'],\n",
       " ['omaso', 5, 'snqvocamio'],\n",
       " ['omina', 5, 'snqvocamio'],\n",
       " ['ominá', 5, 'snqvocamio'],\n",
       " ['omino', 5, 'snqvocamio'],\n",
       " ['ominó', 5, 'snqvocamio'],\n",
       " ['omisa', 5, 'snqvocamio'],\n",
       " ['omiso', 5, 'snqvocamio'],\n",
       " ['osmio', 5, 'snqvocamio'],\n",
       " ['novio', 5, 'snqvocamio'],\n",
       " ['novió', 5, 'snqvocamio'],\n",
       " ['noviá', 5, 'snqvocamio'],\n",
       " ['novia', 5, 'snqvocamio'],\n",
       " ['nomás', 5, 'snqvocamio'],\n",
       " ['novas', 5, 'snqvocamio'],\n",
       " ['novás', 5, 'snqvocamio'],\n",
       " ['oímos', 5, 'snqvocamio'],\n",
       " ['ociás', 5, 'snqvocamio'],\n",
       " ['ocias', 5, 'snqvocamio'],\n",
       " ['ocaso', 5, 'snqvocamio'],\n",
       " ['ocian', 5, 'snqvocamio'],\n",
       " ['avocó', 5, 'snqvocamio'],\n",
       " ['avoco', 5, 'snqvocamio'],\n",
       " ['avión', 5, 'snqvocamio'],\n",
       " ['avino', 5, 'snqvocamio'],\n",
       " ['aviso', 5, 'snqvocamio'],\n",
       " ['avisó', 5, 'snqvocamio'],\n",
       " ['ováis', 5, 'snqvocamio'],\n",
       " ['ovina', 5, 'snqvocamio'],\n",
       " ['ovino', 5, 'snqvocamio'],\n",
       " ['ovosa', 5, 'snqvocamio'],\n",
       " ['socia', 5, 'snqvocamio'],\n",
       " ['socio', 5, 'snqvocamio'],\n",
       " ['sonio', 5, 'snqvocamio'],\n",
       " ['ánimo', 5, 'snqvocamio'],\n",
       " ['animó', 5, 'snqvocamio'],\n",
       " ['animo', 5, 'snqvocamio'],\n",
       " ['amoví', 5, 'snqvocamio'],\n",
       " ['ansío', 5, 'snqvocamio'],\n",
       " ['ansió', 5, 'snqvocamio'],\n",
       " ['anisó', 5, 'snqvocamio'],\n",
       " ['aniso', 5, 'snqvocamio'],\n",
       " ['aonio', 5, 'snqvocamio'],\n",
       " ['samio', 5, 'snqvocamio'],\n",
       " ['sanco', 5, 'snqvocamio'],\n",
       " ['simón', 5, 'snqvocamio'],\n",
       " ['amino', 5, 'snqvocamio'],\n",
       " ['amono', 5, 'snqvocamio'],\n",
       " ['amonó', 5, 'snqvocamio'],\n",
       " ['sainó', 5, 'snqvocamio'],\n",
       " ['saíno', 5, 'snqvocamio'],\n",
       " ['sacio', 5, 'snqvocamio'],\n",
       " ['sacón', 5, 'snqvocamio'],\n",
       " ['sació', 5, 'snqvocamio'],\n",
       " ['cosió', 5, 'snqvocamio'],\n",
       " ['cosía', 5, 'snqvocamio'],\n",
       " ['cosan', 5, 'snqvocamio'],\n",
       " ['isoca', 5, 'snqvocamio'],\n",
       " ['comís', 5, 'snqvocamio'],\n",
       " ['comía', 5, 'snqvocamio'],\n",
       " ['comió', 5, 'snqvocamio'],\n",
       " ['ícono', 5, 'snqvocamio'],\n",
       " ['icono', 5, 'snqvocamio'],\n",
       " ['incoa', 5, 'snqvocamio'],\n",
       " ['incoá', 5, 'snqvocamio'],\n",
       " ['incoo', 5, 'snqvocamio'],\n",
       " ['incoó', 5, 'snqvocamio'],\n",
       " ['imano', 5, 'snqvocamio'],\n",
       " ['imanó', 5, 'snqvocamio'],\n",
       " ['coman', 5, 'snqvocamio'],\n",
       " ['comas', 5, 'snqvocamio'],\n",
       " ['cansó', 5, 'snqvocamio'],\n",
       " ['canso', 5, 'snqvocamio'],\n",
       " ['mocas', 5, 'snqvocamio'],\n",
       " ['mocás', 5, 'snqvocamio'],\n",
       " ['mocan', 5, 'snqvocamio'],\n",
       " ['camón', 5, 'snqvocamio'],\n",
       " ['camio', 5, 'snqvocamio'],\n",
       " ['minas', 5, 'snqvocamio'],\n",
       " ['minás', 5, 'snqvocamio'],\n",
       " ['miona', 5, 'snqvocamio'],\n",
       " ['misan', 5, 'snqvocamio'],\n",
       " ['masco', 5, 'snqvocamio'],\n",
       " ['mascó', 5, 'snqvocamio'],\n",
       " ['casón', 5, 'snqvocamio'],\n",
       " ['manís', 5, 'snqvocamio'],\n",
       " ['manió', 5, 'snqvocamio'],\n",
       " ['manso', 5, 'snqvocamio'],\n",
       " ['cavón', 5, 'snqvocamio'],\n",
       " ['cavío', 5, 'snqvocamio'],\n",
       " ['masón', 5, 'snqvocamio'],\n",
       " ['nació', 5, 'snqvocamio'],\n",
       " ['navío', 5, 'snqvocamio'],\n",
       " ['mosca', 5, 'snqvocamio'],\n",
       " ['moscá', 5, 'snqvocamio'],\n",
       " ['mosco', 5, 'snqvocamio'],\n",
       " ['moscó', 5, 'snqvocamio'],\n",
       " ['monis', 5, 'snqvocamio'],\n",
       " ['monís', 5, 'snqvocamio'],\n",
       " ['movía', 5, 'snqvocamio'],\n",
       " ['movió', 5, 'snqvocamio'],\n",
       " ['cisma', 5, 'snqvocamio'],\n",
       " ['coima', 5, 'snqvocamio'],\n",
       " ['macío', 5, 'snqvocamio'],\n",
       " ['macis', 5, 'snqvocamio'],\n",
       " ['macón', 5, 'snqvocamio'],\n",
       " ['manco', 5, 'snqvocamio'],\n",
       " ['mancó', 5, 'snqvocamio'],\n",
       " ['acosó', 5, 'snqvocamio'],\n",
       " ['visón', 5, 'snqvocamio'],\n",
       " ['acoso', 5, 'snqvocamio'],\n",
       " ['ácimo', 5, 'snqvocamio'],\n",
       " ['vamos', 5, 'snqvocamio'],\n",
       " ['ación', 5, 'snqvocamio'],\n",
       " ['vinca', 5, 'snqvocamio'],\n",
       " ['vimos', 5, 'snqvocamio'],\n",
       " ['vinco', 5, 'snqvocamio'],\n",
       " ['vació', 5, 'snqvocamio'],\n",
       " ['vasco', 5, 'snqvocamio'],\n",
       " ['vacío', 5, 'snqvocamio'],\n",
       " ['visco', 5, 'snqvocamio'],\n",
       " ['visan', 5, 'snqvocamio'],\n",
       " ['amovió', 6, 'snqvocamio'],\n",
       " ['ciamos', 6, 'snqvocamio'],\n",
       " ['noviás', 6, 'snqvocamio'],\n",
       " ['novias', 6, 'snqvocamio'],\n",
       " ['nómica', 6, 'snqvocamio'],\n",
       " ['nómico', 6, 'snqvocamio'],\n",
       " ['amonio', 6, 'snqvocamio'],\n",
       " ['amoscó', 6, 'snqvocamio'],\n",
       " ['amosco', 6, 'snqvocamio'],\n",
       " ['nociva', 6, 'snqvocamio'],\n",
       " ['nocivo', 6, 'snqvocamio'],\n",
       " ['nivosa', 6, 'snqvocamio'],\n",
       " ['nivoso', 6, 'snqvocamio'],\n",
       " ['nováis', 6, 'snqvocamio'],\n",
       " ['amnios', 6, 'snqvocamio'],\n",
       " ['caímos', 6, 'snqvocamio'],\n",
       " ['mocoví', 6, 'snqvocamio'],\n",
       " ['mocosa', 6, 'snqvocamio'],\n",
       " ['moción', 6, 'snqvocamio'],\n",
       " ['mocáis', 6, 'snqvocamio'],\n",
       " ['mocano', 6, 'snqvocamio'],\n",
       " ['camino', 6, 'snqvocamio'],\n",
       " ['caminó', 6, 'snqvocamio'],\n",
       " ['cámino', 6, 'snqvocamio'],\n",
       " ['camión', 6, 'snqvocamio'],\n",
       " ['canoso', 6, 'snqvocamio'],\n",
       " ['cansío', 6, 'snqvocamio'],\n",
       " ['asnico', 6, 'snqvocamio'],\n",
       " ['asocio', 6, 'snqvocamio'],\n",
       " ['asoció', 6, 'snqvocamio'],\n",
       " ['casino', 6, 'snqvocamio'],\n",
       " ['mováis', 6, 'snqvocamio'],\n",
       " ['movían', 6, 'snqvocamio'],\n",
       " ['movías', 6, 'snqvocamio'],\n",
       " ['moscón', 6, 'snqvocamio'],\n",
       " ['moscan', 6, 'snqvocamio'],\n",
       " ['másico', 6, 'snqvocamio'],\n",
       " ['masivo', 6, 'snqvocamio'],\n",
       " ['vinoso', 6, 'snqvocamio'],\n",
       " ['vinosa', 6, 'snqvocamio'],\n",
       " ['incoás', 6, 'snqvocamio'],\n",
       " ['incoas', 6, 'snqvocamio'],\n",
       " ['invocó', 6, 'snqvocamio'],\n",
       " ['invoco', 6, 'snqvocamio'],\n",
       " ['invocá', 6, 'snqvocamio'],\n",
       " ['invoca', 6, 'snqvocamio'],\n",
       " ['comino', 6, 'snqvocamio'],\n",
       " ['comían', 6, 'snqvocamio'],\n",
       " ['comías', 6, 'snqvocamio'],\n",
       " ['comiso', 6, 'snqvocamio'],\n",
       " ['comisó', 6, 'snqvocamio'],\n",
       " ['comisa', 6, 'snqvocamio'],\n",
       " ['comisá', 6, 'snqvocamio'],\n",
       " ['avisón', 6, 'snqvocamio'],\n",
       " ['ovamos', 6, 'snqvocamio'],\n",
       " ['cosían', 6, 'snqvocamio'],\n",
       " ['sínoca', 6, 'snqvocamio'],\n",
       " ['socavo', 6, 'snqvocamio'],\n",
       " ['socavó', 6, 'snqvocamio'],\n",
       " ['oíamos', 6, 'snqvocamio'],\n",
       " ['ociosa', 6, 'snqvocamio'],\n",
       " ['vómica', 6, 'snqvocamio'],\n",
       " ['vómico', 6, 'snqvocamio'],\n",
       " ['vascón', 6, 'snqvocamio'],\n",
       " ['sicano', 6, 'snqvocamio'],\n",
       " ['sicono', 6, 'snqvocamio'],\n",
       " ['ominás', 6, 'snqvocamio'],\n",
       " ['ominas', 6, 'snqvocamio'],\n",
       " ['onosma', 6, 'snqvocamio'],\n",
       " ['comáis', 6, 'snqvocamio'],\n",
       " ['sónico', 6, 'snqvocamio'],\n",
       " ['sónica', 6, 'snqvocamio'],\n",
       " ['monoica', 7, 'snqvocamio'],\n",
       " ['ominosa', 7, 'snqvocamio'],\n",
       " ['ociamos', 7, 'snqvocamio'],\n",
       " ['ocasión', 7, 'snqvocamio'],\n",
       " ['novamos', 7, 'snqvocamio'],\n",
       " ['ovación', 7, 'snqvocamio'],\n",
       " ['moscona', 7, 'snqvocamio'],\n",
       " ['mosaico', 7, 'snqvocamio'],\n",
       " ['nacimos', 7, 'snqvocamio'],\n",
       " ['invocás', 7, 'snqvocamio'],\n",
       " ['invocas', 7, 'snqvocamio'],\n",
       " ['comisan', 7, 'snqvocamio'],\n",
       " ['conmoví', 7, 'snqvocamio'],\n",
       " ['mocasín', 7, 'snqvocamio'],\n",
       " ['camisón', 7, 'snqvocamio'],\n",
       " ['mocioná', 7, 'snqvocamio'],\n",
       " ['mociona', 7, 'snqvocamio'],\n",
       " ['amónico', 7, 'snqvocamio'],\n",
       " ['anómico', 7, 'snqvocamio'],\n",
       " ['animoso', 7, 'snqvocamio'],\n",
       " ['socavón', 7, 'snqvocamio'],\n",
       " ['incoamos', 8, 'snqvocamio'],\n",
       " ['mocionás', 8, 'snqvocamio'],\n",
       " ['mocionas', 8, 'snqvocamio'],\n",
       " ['masónico', 8, 'snqvocamio'],\n",
       " ['noviamos', 8, 'snqvocamio'],\n",
       " ['conmovía', 8, 'snqvocamio'],\n",
       " ['conmovías', 9, 'snqvocamio'],\n",
       " ['conmováis', 9, 'snqvocamio'],\n",
       " ['invocamos', 9, 'snqvocamio']]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soluciones = []\n",
    "propuesta_helena = 'snqvocamio'\n",
    "\n",
    "for palabra in palabras_candidatas['Palabra'].values:\n",
    "    if es_solucion(reemplazar_acentos(list(palabra)), propuesta_helena):\n",
    "        soluciones.append([palabra, len(palabra), ''.join(propuesta_helena)])\n",
    "\n",
    "print(len(soluciones))\n",
    "soluciones\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ed7bd966-6296-49f6-8866-f399840ee3d9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "924\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[['áureo', 5, 'murcielago'],\n",
       " ['ramio', 5, 'murcielago'],\n",
       " ['rámeo', 5, 'murcielago'],\n",
       " ['aromé', 5, 'murcielago'],\n",
       " ['arome', 5, 'murcielago'],\n",
       " ['rameó', 5, 'murcielago'],\n",
       " ['rameo', 5, 'murcielago'],\n",
       " ['raicé', 5, 'murcielago'],\n",
       " ['racel', 5, 'murcielago'],\n",
       " ['raceó', 5, 'murcielago'],\n",
       " ['raceo', 5, 'murcielago'],\n",
       " ['raíce', 5, 'murcielago'],\n",
       " ['raleó', 5, 'murcielago'],\n",
       " ['raleo', 5, 'murcielago'],\n",
       " ['raigo', 5, 'murcielago'],\n",
       " ['arelo', 5, 'murcielago'],\n",
       " ['recaí', 5, 'murcielago'],\n",
       " ['areló', 5, 'murcielago'],\n",
       " ['arilo', 5, 'murcielago'],\n",
       " ['rauco', 5, 'murcielago'],\n",
       " ['raulí', 5, 'murcielago'],\n",
       " ['aricó', 5, 'murcielago'],\n",
       " ['arico', 5, 'murcielago'],\n",
       " ['reamo', 5, 'murcielago'],\n",
       " ['reamó', 5, 'murcielago'],\n",
       " ['argüí', 5, 'murcielago'],\n",
       " ['argüe', 5, 'murcielago'],\n",
       " ['argue', 5, 'murcielago'],\n",
       " ['argel', 5, 'murcielago'],\n",
       " ['órale', 5, 'murcielago'],\n",
       " ['olura', 5, 'murcielago'],\n",
       " ['omega', 5, 'murcielago'],\n",
       " ['orgia', 5, 'murcielago'],\n",
       " ['orgía', 5, 'murcielago'],\n",
       " ['oruga', 5, 'murcielago'],\n",
       " ['olera', 5, 'murcielago'],\n",
       " ['olear', 5, 'murcielago'],\n",
       " ['olerá', 5, 'murcielago'],\n",
       " ['ocluí', 5, 'murcielago'],\n",
       " ['ocume', 5, 'murcielago'],\n",
       " ['ociar', 5, 'murcielago'],\n",
       " ['aireó', 5, 'murcielago'],\n",
       " ['aireo', 5, 'murcielago'],\n",
       " ['agrío', 5, 'murcielago'],\n",
       " ['agrió', 5, 'murcielago'],\n",
       " ['agrio', 5, 'murcielago'],\n",
       " ['agríe', 5, 'murcielago'],\n",
       " ['agrié', 5, 'murcielago'],\n",
       " ['agrie', 5, 'murcielago'],\n",
       " ['agucé', 5, 'murcielago'],\n",
       " ['aguce', 5, 'murcielago'],\n",
       " ['agüío', 5, 'murcielago'],\n",
       " ['alegó', 5, 'murcielago'],\n",
       " ['alego', 5, 'murcielago'],\n",
       " ['alero', 5, 'murcielago'],\n",
       " ['alcor', 5, 'murcielago'],\n",
       " ['aligo', 5, 'murcielago'],\n",
       " ['alier', 5, 'murcielago'],\n",
       " ['acure', 5, 'murcielago'],\n",
       " ['ácueo', 5, 'murcielago'],\n",
       " ['aculó', 5, 'murcielago'],\n",
       " ['aculo', 5, 'murcielago'],\n",
       " ['aculé', 5, 'murcielago'],\n",
       " ['acule', 5, 'murcielago'],\n",
       " ['agolé', 5, 'murcielago'],\n",
       " ['agole', 5, 'murcielago'],\n",
       " ['agoré', 5, 'murcielago'],\n",
       " ['aligó', 5, 'murcielago'],\n",
       " ['riega', 5, 'murcielago'],\n",
       " ['riego', 5, 'murcielago'],\n",
       " ['riela', 5, 'murcielago'],\n",
       " ['rielá', 5, 'murcielago'],\n",
       " ['rielo', 5, 'murcielago'],\n",
       " ['rieló', 5, 'murcielago'],\n",
       " ['rímel', 5, 'murcielago'],\n",
       " ['rigua', 5, 'murcielago'],\n",
       " ['reuma', 5, 'murcielago'],\n",
       " ['reúma', 5, 'murcielago'],\n",
       " ['roela', 5, 'murcielago'],\n",
       " ['rogué', 5, 'murcielago'],\n",
       " ['roiga', 5, 'murcielago'],\n",
       " ['rocíe', 5, 'murcielago'],\n",
       " ['romea', 5, 'murcielago'],\n",
       " ['rocié', 5, 'murcielago'],\n",
       " ['rocía', 5, 'murcielago'],\n",
       " ['amuró', 5, 'murcielago'],\n",
       " ['amuro', 5, 'murcielago'],\n",
       " ['amuré', 5, 'murcielago'],\n",
       " ['amure', 5, 'murcielago'],\n",
       " ['amugó', 5, 'murcielago'],\n",
       " ['amugo', 5, 'murcielago'],\n",
       " ['amuló', 5, 'murcielago'],\n",
       " ['amulo', 5, 'murcielago'],\n",
       " ['amulé', 5, 'murcielago'],\n",
       " ['amule', 5, 'murcielago'],\n",
       " ['rociá', 5, 'murcielago'],\n",
       " ['regia', 5, 'murcielago'],\n",
       " ['regía', 5, 'murcielago'],\n",
       " ['regio', 5, 'murcielago'],\n",
       " ['regla', 5, 'murcielago'],\n",
       " ['reglá', 5, 'murcielago'],\n",
       " ['reglo', 5, 'murcielago'],\n",
       " ['regló', 5, 'murcielago'],\n",
       " ['recua', 5, 'murcielago'],\n",
       " ['recia', 5, 'murcielago'],\n",
       " ['recio', 5, 'murcielago'],\n",
       " ['reoca', 5, 'murcielago'],\n",
       " ['alucé', 5, 'murcielago'],\n",
       " ['aluce', 5, 'murcielago'],\n",
       " ['álimo', 5, 'murcielago'],\n",
       " ['alomé', 5, 'murcielago'],\n",
       " ['alome', 5, 'murcielago'],\n",
       " ['ruego', 5, 'murcielago'],\n",
       " ['rugía', 5, 'murcielago'],\n",
       " ['rugió', 5, 'murcielago'],\n",
       " ['ruega', 5, 'murcielago'],\n",
       " ['rucia', 5, 'murcielago'],\n",
       " ['rucio', 5, 'murcielago'],\n",
       " ['rueca', 5, 'murcielago'],\n",
       " ['rumia', 5, 'murcielago'],\n",
       " ['ameró', 5, 'murcielago'],\n",
       " ['amero', 5, 'murcielago'],\n",
       " ['rumie', 5, 'murcielago'],\n",
       " ['rumié', 5, 'murcielago'],\n",
       " ['rumio', 5, 'murcielago'],\n",
       " ['rumió', 5, 'murcielago'],\n",
       " ['rumiá', 5, 'murcielago'],\n",
       " ['amigo', 5, 'murcielago'],\n",
       " ['amigó', 5, 'murcielago'],\n",
       " ['rouge', 5, 'murcielago'],\n",
       " ['amolé', 5, 'murcielago'],\n",
       " ['amole', 5, 'murcielago'],\n",
       " ['ameló', 5, 'murcielago'],\n",
       " ['amelo', 5, 'murcielago'],\n",
       " ['güira', 5, 'murcielago'],\n",
       " ['güiro', 5, 'murcielago'],\n",
       " ['güila', 5, 'murcielago'],\n",
       " ['güilo', 5, 'murcielago'],\n",
       " ['gular', 5, 'murcielago'],\n",
       " ['gumía', 5, 'murcielago'],\n",
       " ['cremó', 5, 'murcielago'],\n",
       " ['cremo', 5, 'murcielago'],\n",
       " ['cremá', 5, 'murcielago'],\n",
       " ['crema', 5, 'murcielago'],\n",
       " ['creía', 5, 'murcielago'],\n",
       " ['guare', 5, 'murcielago'],\n",
       " ['cruel', 5, 'murcielago'],\n",
       " ['guaco', 5, 'murcielago'],\n",
       " ['guame', 5, 'murcielago'],\n",
       " ['guamo', 5, 'murcielago'],\n",
       " ['guarí', 5, 'murcielago'],\n",
       " ['güero', 5, 'murcielago'],\n",
       " ['guiar', 5, 'murcielago'],\n",
       " ['güera', 5, 'murcielago'],\n",
       " ['guaro', 5, 'murcielago'],\n",
       " ['cromé', 5, 'murcielago'],\n",
       " ['crome', 5, 'murcielago'],\n",
       " ['cromá', 5, 'murcielago'],\n",
       " ['croma', 5, 'murcielago'],\n",
       " ['corúa', 5, 'murcielago'],\n",
       " ['gorma', 5, 'murcielago'],\n",
       " ['gormá', 5, 'murcielago'],\n",
       " ['gorme', 5, 'murcielago'],\n",
       " ['gomal', 5, 'murcielago'],\n",
       " ['gomel', 5, 'murcielago'],\n",
       " ['gomer', 5, 'murcielago'],\n",
       " ['gomia', 5, 'murcielago'],\n",
       " ['cural', 5, 'murcielago'],\n",
       " ['gomar', 5, 'murcielago'],\n",
       " ['curia', 5, 'murcielago'],\n",
       " ['gormé', 5, 'murcielago'],\n",
       " ['cúmel', 5, 'murcielago'],\n",
       " ['curie', 5, 'murcielago'],\n",
       " ['curil', 5, 'murcielago'],\n",
       " ['curio', 5, 'murcielago'],\n",
       " ['gluma', 5, 'murcielago'],\n",
       " ['glera', 5, 'murcielago'],\n",
       " ['goleá', 5, 'murcielago'],\n",
       " ['golea', 5, 'murcielago'],\n",
       " ['grima', 5, 'murcielago'],\n",
       " ['cuelo', 5, 'murcielago'],\n",
       " ['cuela', 5, 'murcielago'],\n",
       " ['grial', 5, 'murcielago'],\n",
       " ['grumo', 5, 'murcielago'],\n",
       " ['gruía', 5, 'murcielago'],\n",
       " ['grelo', 5, 'murcielago'],\n",
       " ['culío', 5, 'murcielago'],\n",
       " ['culeó', 5, 'murcielago'],\n",
       " ['culeo', 5, 'murcielago'],\n",
       " ['culeá', 5, 'murcielago'],\n",
       " ['culea', 5, 'murcielago'],\n",
       " ['cular', 5, 'murcielago'],\n",
       " ['gramo', 5, 'murcielago'],\n",
       " ['greca', 5, 'murcielago'],\n",
       " ['cuera', 5, 'murcielago'],\n",
       " ['greco', 5, 'murcielago'],\n",
       " ['cuero', 5, 'murcielago'],\n",
       " ['cuilo', 5, 'murcielago'],\n",
       " ['irgue', 5, 'murcielago'],\n",
       " ['comer', 5, 'murcielago'],\n",
       " ['comía', 5, 'murcielago'],\n",
       " ['igual', 5, 'murcielago'],\n",
       " ['iguar', 5, 'murcielago'],\n",
       " ['imela', 5, 'murcielago'],\n",
       " ['coleá', 5, 'murcielago'],\n",
       " ['colea', 5, 'murcielago'],\n",
       " ['colgá', 5, 'murcielago'],\n",
       " ['colar', 5, 'murcielago'],\n",
       " ['comal', 5, 'murcielago'],\n",
       " ['colmá', 5, 'murcielago'],\n",
       " ['colma', 5, 'murcielago'],\n",
       " ['colme', 5, 'murcielago'],\n",
       " ['colmé', 5, 'murcielago'],\n",
       " ['coral', 5, 'murcielago'],\n",
       " ['corea', 5, 'murcielago'],\n",
       " ['coreá', 5, 'murcielago'],\n",
       " ['corma', 5, 'murcielago'],\n",
       " ['corlé', 5, 'murcielago'],\n",
       " ['corle', 5, 'murcielago'],\n",
       " ['corlá', 5, 'murcielago'],\n",
       " ['corla', 5, 'murcielago'],\n",
       " ['eolia', 5, 'murcielago'],\n",
       " ['eroga', 5, 'murcielago'],\n",
       " ['erogá', 5, 'murcielago'],\n",
       " ['ergio', 5, 'murcielago'],\n",
       " ['erguí', 5, 'murcielago'],\n",
       " ['erial', 5, 'murcielago'],\n",
       " ['emula', 5, 'murcielago'],\n",
       " ['emulá', 5, 'murcielago'],\n",
       " ['émula', 5, 'murcielago'],\n",
       " ['emulo', 5, 'murcielago'],\n",
       " ['emuló', 5, 'murcielago'],\n",
       " ['émulo', 5, 'murcielago'],\n",
       " ['eguar', 5, 'murcielago'],\n",
       " ['elamí', 5, 'murcielago'],\n",
       " ['eluía', 5, 'murcielago'],\n",
       " ['eluir', 5, 'murcielago'],\n",
       " ['galio', 5, 'murcielago'],\n",
       " ['galce', 5, 'murcielago'],\n",
       " ['gáleo', 5, 'murcielago'],\n",
       " ['garle', 5, 'murcielago'],\n",
       " ['garlé', 5, 'murcielago'],\n",
       " ['garlo', 5, 'murcielago'],\n",
       " ['garló', 5, 'murcielago'],\n",
       " ['gario', 5, 'murcielago'],\n",
       " ['gacel', 5, 'murcielago'],\n",
       " ['garúe', 5, 'murcielago'],\n",
       " ['garuó', 5, 'murcielago'],\n",
       " ['gemía', 5, 'murcielago'],\n",
       " ['gemir', 5, 'murcielago'],\n",
       " ['miare', 5, 'murcielago'],\n",
       " ['miaré', 5, 'murcielago'],\n",
       " ['miera', 5, 'murcielago'],\n",
       " ['migar', 5, 'murcielago'],\n",
       " ['migra', 5, 'murcielago'],\n",
       " ['migrá', 5, 'murcielago'],\n",
       " ['mielo', 5, 'murcielago'],\n",
       " ['migre', 5, 'murcielago'],\n",
       " ['migré', 5, 'murcielago'],\n",
       " ['migro', 5, 'murcielago'],\n",
       " ['migró', 5, 'murcielago'],\n",
       " ['migue', 5, 'murcielago'],\n",
       " ['migué', 5, 'murcielago'],\n",
       " ['micer', 5, 'murcielago'],\n",
       " ['micra', 5, 'murcielago'],\n",
       " ['micro', 5, 'murcielago'],\n",
       " ['miela', 5, 'murcielago'],\n",
       " ['merca', 5, 'murcielago'],\n",
       " ['mercá', 5, 'murcielago'],\n",
       " ['merco', 5, 'murcielago'],\n",
       " ['mercó', 5, 'murcielago'],\n",
       " ['mergo', 5, 'murcielago'],\n",
       " ['merla', 5, 'murcielago'],\n",
       " ['merlo', 5, 'murcielago'],\n",
       " ['merol', 5, 'murcielago'],\n",
       " ['cameo', 5, 'murcielago'],\n",
       " ['mocea', 5, 'murcielago'],\n",
       " ['moceá', 5, 'murcielago'],\n",
       " ['mocar', 5, 'murcielago'],\n",
       " ['cámel', 5, 'murcielago'],\n",
       " ['mocil', 5, 'murcielago'],\n",
       " ['miura', 5, 'murcielago'],\n",
       " ['camio', 5, 'murcielago'],\n",
       " ['moaré', 5, 'murcielago'],\n",
       " ['calor', 5, 'murcielago'],\n",
       " ['calmó', 5, 'murcielago'],\n",
       " ['calmo', 5, 'murcielago'],\n",
       " ['calmé', 5, 'murcielago'],\n",
       " ['calme', 5, 'murcielago'],\n",
       " ['mirla', 5, 'murcielago'],\n",
       " ['mírla', 5, 'murcielago'],\n",
       " ['mirle', 5, 'murcielago'],\n",
       " ['mirlé', 5, 'murcielago'],\n",
       " ['mírle', 5, 'murcielago'],\n",
       " ['mirlo', 5, 'murcielago'],\n",
       " ['mirló', 5, 'murcielago'],\n",
       " ['margó', 5, 'murcielago'],\n",
       " ['marlo', 5, 'murcielago'],\n",
       " ['margo', 5, 'murcielago'],\n",
       " ['marcí', 5, 'murcielago'],\n",
       " ['marco', 5, 'murcielago'],\n",
       " ['marcó', 5, 'murcielago'],\n",
       " ['mareo', 5, 'murcielago'],\n",
       " ['mareó', 5, 'murcielago'],\n",
       " ['cauro', 5, 'murcielago'],\n",
       " ['cauri', 5, 'murcielago'],\n",
       " ['marce', 5, 'murcielago'],\n",
       " ['maorí', 5, 'murcielago'],\n",
       " ['cargo', 5, 'murcielago'],\n",
       " ['cargó', 5, 'murcielago'],\n",
       " ['careó', 5, 'murcielago'],\n",
       " ['careo', 5, 'murcielago'],\n",
       " ['carel', 5, 'murcielago'],\n",
       " ['carío', 5, 'murcielago'],\n",
       " ['carió', 5, 'murcielago'],\n",
       " ['cario', 5, 'murcielago'],\n",
       " ['carié', 5, 'murcielago'],\n",
       " ['mecía', 5, 'murcielago'],\n",
       " ['meció', 5, 'murcielago'],\n",
       " ['caríe', 5, 'murcielago'],\n",
       " ['melga', 5, 'murcielago'],\n",
       " ['melgá', 5, 'murcielago'],\n",
       " ['melgo', 5, 'murcielago'],\n",
       " ['melgó', 5, 'murcielago'],\n",
       " ['melar', 5, 'murcielago'],\n",
       " ['meiga', 5, 'murcielago'],\n",
       " ['meigo', 5, 'murcielago'],\n",
       " ['maule', 5, 'murcielago'],\n",
       " ['maulé', 5, 'murcielago'],\n",
       " ['maulo', 5, 'murcielago'],\n",
       " ['mauló', 5, 'murcielago'],\n",
       " ['mauro', 5, 'murcielago'],\n",
       " ['maure', 5, 'murcielago'],\n",
       " ['carme', 5, 'murcielago'],\n",
       " ['carló', 5, 'murcielago'],\n",
       " ['morga', 5, 'murcielago'],\n",
       " ['moría', 5, 'murcielago'],\n",
       " ['morca', 5, 'murcielago'],\n",
       " ['morcá', 5, 'murcielago'],\n",
       " ['mórea', 5, 'murcielago'],\n",
       " ['caire', 5, 'murcielago'],\n",
       " ['caigo', 5, 'murcielago'],\n",
       " ['cagué', 5, 'murcielago'],\n",
       " ['cague', 5, 'murcielago'],\n",
       " ['molía', 5, 'murcielago'],\n",
       " ['caler', 5, 'murcielago'],\n",
       " ['molar', 5, 'murcielago'],\n",
       " ['moler', 5, 'murcielago'],\n",
       " ['moral', 5, 'murcielago'],\n",
       " ['mural', 5, 'murcielago'],\n",
       " ['murga', 5, 'murcielago'],\n",
       " ['muria', 5, 'murcielago'],\n",
       " ['murió', 5, 'murcielago'],\n",
       " ['mueca', 5, 'murcielago'],\n",
       " ['muela', 5, 'murcielago'],\n",
       " ['muera', 5, 'murcielago'],\n",
       " ['muero', 5, 'murcielago'],\n",
       " ['muelo', 5, 'murcielago'],\n",
       " ['muaré', 5, 'murcielago'],\n",
       " ['mugre', 5, 'murcielago'],\n",
       " ['mular', 5, 'murcielago'],\n",
       " ['múleo', 5, 'murcielago'],\n",
       " ['mugor', 5, 'murcielago'],\n",
       " ['mugle', 5, 'murcielago'],\n",
       " ['mugar', 5, 'murcielago'],\n",
       " ['mugía', 5, 'murcielago'],\n",
       " ['múgil', 5, 'murcielago'],\n",
       " ['mugió', 5, 'murcielago'],\n",
       " ['mugir', 5, 'murcielago'],\n",
       " ['cielo', 5, 'murcielago'],\n",
       " ['ciego', 5, 'murcielago'],\n",
       " ['ciega', 5, 'murcielago'],\n",
       " ['ciemo', 5, 'murcielago'],\n",
       " ['cigua', 5, 'murcielago'],\n",
       " ['lauro', 5, 'murcielago'],\n",
       " ['ciaré', 5, 'murcielago'],\n",
       " ['ciare', 5, 'murcielago'],\n",
       " ['lamió', 5, 'murcielago'],\n",
       " ['lamer', 5, 'murcielago'],\n",
       " ['largo', 5, 'murcielago'],\n",
       " ['largó', 5, 'murcielago'],\n",
       " ['cimar', 5, 'murcielago'],\n",
       " ['lémur', 5, 'murcielago'],\n",
       " ['leuco', 5, 'murcielago'],\n",
       " ['liare', 5, 'murcielago'],\n",
       " ['liaré', 5, 'murcielago'],\n",
       " ['legro', 5, 'murcielago'],\n",
       " ['legró', 5, 'murcielago'],\n",
       " ['legua', 5, 'murcielago'],\n",
       " ['legui', 5, 'murcielago'],\n",
       " ['legrá', 5, 'murcielago'],\n",
       " ['legra', 5, 'murcielago'],\n",
       " ['legar', 5, 'murcielago'],\n",
       " ['leima', 5, 'murcielago'],\n",
       " ['cogía', 5, 'murcielago'],\n",
       " ['coima', 5, 'murcielago'],\n",
       " ['coime', 5, 'murcielago'],\n",
       " ['coger', 5, 'murcielago'],\n",
       " ['laceo', 5, 'murcielago'],\n",
       " ['laceó', 5, 'murcielago'],\n",
       " ['lacio', 5, 'murcielago'],\n",
       " ['lacre', 5, 'murcielago'],\n",
       " ['lacré', 5, 'murcielago'],\n",
       " ['lacro', 5, 'murcielago'],\n",
       " ['lacró', 5, 'murcielago'],\n",
       " ['clero', 5, 'murcielago'],\n",
       " ['clema', 5, 'murcielago'],\n",
       " ['claro', 5, 'murcielago'],\n",
       " ['laico', 5, 'murcielago'],\n",
       " ['clamó', 5, 'murcielago'],\n",
       " ['clamo', 5, 'murcielago'],\n",
       " ['clamé', 5, 'murcielago'],\n",
       " ['clame', 5, 'murcielago'],\n",
       " ['cloré', 5, 'murcielago'],\n",
       " ['clore', 5, 'murcielago'],\n",
       " ['clorá', 5, 'murcielago'],\n",
       " ['clora', 5, 'murcielago'],\n",
       " ['clima', 5, 'murcielago'],\n",
       " ['maceó', 5, 'murcielago'],\n",
       " ['macío', 5, 'murcielago'],\n",
       " ['maceo', 5, 'murcielago'],\n",
       " ['macro', 5, 'murcielago'],\n",
       " ['magio', 5, 'murcielago'],\n",
       " ['magió', 5, 'murcielago'],\n",
       " ['magié', 5, 'murcielago'],\n",
       " ['magué', 5, 'murcielago'],\n",
       " ['magro', 5, 'murcielago'],\n",
       " ['magie', 5, 'murcielago'],\n",
       " ['lucre', 5, 'murcielago'],\n",
       " ['lucré', 5, 'murcielago'],\n",
       " ['lucro', 5, 'murcielago'],\n",
       " ['lucró', 5, 'murcielago'],\n",
       " ['luego', 5, 'murcielago'],\n",
       " ['lucrá', 5, 'murcielago'],\n",
       " ['lucma', 5, 'murcielago'],\n",
       " ['lucra', 5, 'murcielago'],\n",
       " ['lucia', 5, 'murcielago'],\n",
       " ['lucía', 5, 'murcielago'],\n",
       " ['lucio', 5, 'murcielago'],\n",
       " ['lució', 5, 'murcielago'],\n",
       " ['lucir', 5, 'murcielago'],\n",
       " ['lugar', 5, 'murcielago'],\n",
       " ['lugre', 5, 'murcielago'],\n",
       " ['luirá', 5, 'murcielago'],\n",
       " ['luiré', 5, 'murcielago'],\n",
       " ['lumia', 5, 'murcielago'],\n",
       " ['celia', 5, 'murcielago'],\n",
       " ['cegar', 5, 'murcielago'],\n",
       " ['cegua', 5, 'murcielago'],\n",
       " ['celar', 5, 'murcielago'],\n",
       " ['maleo', 5, 'murcielago'],\n",
       " ['maleó', 5, 'murcielago'],\n",
       " ['cerio', 5, 'murcielago'],\n",
       " ['liceo', 5, 'murcielago'],\n",
       " ['licor', 5, 'murcielago'],\n",
       " ['licua', 5, 'murcielago'],\n",
       " ['licuá', 5, 'murcielago'],\n",
       " ['licúa', 5, 'murcielago'],\n",
       " ['licue', 5, 'murcielago'],\n",
       " ['licué', 5, 'murcielago'],\n",
       " ['licúe', 5, 'murcielago'],\n",
       " ['licuo', 5, 'murcielago'],\n",
       " ['licra', 5, 'murcielago'],\n",
       " ['licuó', 5, 'murcielago'],\n",
       " ['licúo', 5, 'murcielago'],\n",
       " ['ligur', 5, 'murcielago'],\n",
       " ['limar', 5, 'murcielago'],\n",
       " ['ligué', 5, 'murcielago'],\n",
       " ['ligue', 5, 'murcielago'],\n",
       " ['liega', 5, 'murcielago'],\n",
       " ['liego', 5, 'murcielago'],\n",
       " ['ligar', 5, 'murcielago'],\n",
       " ['locea', 5, 'murcielago'],\n",
       " ['loceá', 5, 'murcielago'],\n",
       " ['logar', 5, 'murcielago'],\n",
       " ['logia', 5, 'murcielago'],\n",
       " ['logra', 5, 'murcielago'],\n",
       " ['loare', 5, 'murcielago'],\n",
       " ['loaré', 5, 'murcielago'],\n",
       " ['lográ', 5, 'murcielago'],\n",
       " ['logre', 5, 'murcielago'],\n",
       " ['logré', 5, 'murcielago'],\n",
       " ['lorea', 5, 'murcielago'],\n",
       " ['loreá', 5, 'murcielago'],\n",
       " ['loica', 5, 'murcielago'],\n",
       " ['lomea', 5, 'murcielago'],\n",
       " ['lomeá', 5, 'murcielago'],\n",
       " ['acolé', 5, 'murcielago'],\n",
       " ['umero', 5, 'murcielago'],\n",
       " ['acole', 5, 'murcielago'],\n",
       " ['acoge', 5, 'murcielago'],\n",
       " ['acogé', 5, 'murcielago'],\n",
       " ['urgió', 5, 'murcielago'],\n",
       " ['urgía', 5, 'murcielago'],\n",
       " ['acogí', 5, 'murcielago'],\n",
       " ['aceró', 5, 'murcielago'],\n",
       " ['acero', 5, 'murcielago'],\n",
       " ['ulema', 5, 'murcielago'],\n",
       " ['ácimo', 5, 'murcielago'],\n",
       " ['acilo', 5, 'murcielago'],\n",
       " ['acóre', 5, 'murcielago'],\n",
       " ['acoré', 5, 'murcielago'],\n",
       " ['acore', 5, 'murcielago'],\n",
       " ['úrica', 5, 'murcielago'],\n",
       " ['úrico', 5, 'murcielago'],\n",
       " ['amurco', 6, 'murcielago'],\n",
       " ['amurcó', 6, 'murcielago'],\n",
       " ['amuelo', 6, 'murcielago'],\n",
       " ['amueló', 6, 'murcielago'],\n",
       " ['ulceró', 6, 'murcielago'],\n",
       " ['ulcero', 6, 'murcielago'],\n",
       " ['ulcera', 6, 'murcielago'],\n",
       " ['ulcerá', 6, 'murcielago'],\n",
       " ['úlcera', 6, 'murcielago'],\n",
       " ['acoger', 6, 'murcielago'],\n",
       " ['maceró', 6, 'murcielago'],\n",
       " ['macero', 6, 'murcielago'],\n",
       " ['macelo', 6, 'murcielago'],\n",
       " ['mágico', 6, 'murcielago'],\n",
       " ['maiceó', 6, 'murcielago'],\n",
       " ['maiceo', 6, 'murcielago'],\n",
       " ['gálico', 6, 'murcielago'],\n",
       " ['maguer', 6, 'murcielago'],\n",
       " ['magreó', 6, 'murcielago'],\n",
       " ['magreo', 6, 'murcielago'],\n",
       " ['macule', 6, 'murcielago'],\n",
       " ['maculó', 6, 'murcielago'],\n",
       " ['maculo', 6, 'murcielago'],\n",
       " ['maculé', 6, 'murcielago'],\n",
       " ['lomera', 6, 'murcielago'],\n",
       " ['lomear', 6, 'murcielago'],\n",
       " ['loriga', 6, 'murcielago'],\n",
       " ['locura', 6, 'murcielago'],\n",
       " ['locria', 6, 'murcielago'],\n",
       " ['locera', 6, 'murcielago'],\n",
       " ['locear', 6, 'murcielago'],\n",
       " ['logreá', 6, 'murcielago'],\n",
       " ['loguer', 6, 'murcielago'],\n",
       " ['logrea', 6, 'murcielago'],\n",
       " ['lógica', 6, 'murcielago'],\n",
       " ['luciré', 6, 'murcielago'],\n",
       " ['lucirá', 6, 'murcielago'],\n",
       " ['lucero', 6, 'murcielago'],\n",
       " ['lucera', 6, 'murcielago'],\n",
       " ['láureo', 6, 'murcielago'],\n",
       " ['laureó', 6, 'murcielago'],\n",
       " ['laureo', 6, 'murcielago'],\n",
       " ['girola', 6, 'murcielago'],\n",
       " ['cimera', 6, 'murcielago'],\n",
       " ['cimero', 6, 'murcielago'],\n",
       " ['largue', 6, 'murcielago'],\n",
       " ['lárice', 6, 'murcielago'],\n",
       " ['largué', 6, 'murcielago'],\n",
       " ['licuar', 6, 'murcielago'],\n",
       " ['licuor', 6, 'murcielago'],\n",
       " ['limero', 6, 'murcielago'],\n",
       " ['limera', 6, 'murcielago'],\n",
       " ['ligero', 6, 'murcielago'],\n",
       " ['ligera', 6, 'murcielago'],\n",
       " ['ligaré', 6, 'murcielago'],\n",
       " ['ligare', 6, 'murcielago'],\n",
       " ['limaco', 6, 'murcielago'],\n",
       " ['limaré', 6, 'murcielago'],\n",
       " ['limare', 6, 'murcielago'],\n",
       " ['amelgó', 6, 'murcielago'],\n",
       " ['amelgo', 6, 'murcielago'],\n",
       " ['légamo', 6, 'murcielago'],\n",
       " ['gemirá', 6, 'murcielago'],\n",
       " ['amielo', 6, 'murcielago'],\n",
       " ['amigué', 6, 'murcielago'],\n",
       " ['amigue', 6, 'murcielago'],\n",
       " ['mercal', 6, 'murcielago'],\n",
       " ['recalo', 6, 'murcielago'],\n",
       " ['recaló', 6, 'murcielago'],\n",
       " ['morcal', 6, 'murcielago'],\n",
       " ['erguía', 6, 'murcielago'],\n",
       " ['meruca', 6, 'murcielago'],\n",
       " ['meruco', 6, 'murcielago'],\n",
       " ['recamo', 6, 'murcielago'],\n",
       " ['recamó', 6, 'murcielago'],\n",
       " ['cairel', 6, 'murcielago'],\n",
       " ['carmel', 6, 'murcielago'],\n",
       " ['recoma', 6, 'murcielago'],\n",
       " ['recolá', 6, 'murcielago'],\n",
       " ['recogí', 6, 'murcielago'],\n",
       " ['cargue', 6, 'murcielago'],\n",
       " ['cargué', 6, 'murcielago'],\n",
       " ['recomí', 6, 'murcielago'],\n",
       " ['recula', 6, 'murcielago'],\n",
       " ['reculá', 6, 'murcielago'],\n",
       " ['reculo', 6, 'murcielago'],\n",
       " ['reculó', 6, 'murcielago'],\n",
       " ['melgar', 6, 'murcielago'],\n",
       " ['mélica', 6, 'murcielago'],\n",
       " ['mélico', 6, 'murcielago'],\n",
       " ['recluí', 6, 'murcielago'],\n",
       " ['morgue', 6, 'murcielago'],\n",
       " ['recial', 6, 'murcielago'],\n",
       " ['molare', 6, 'murcielago'],\n",
       " ['molaré', 6, 'murcielago'],\n",
       " ['eólica', 6, 'murcielago'],\n",
       " ['racimo', 6, 'murcielago'],\n",
       " ['racimó', 6, 'murcielago'],\n",
       " ['caluro', 6, 'murcielago'],\n",
       " ['racimé', 6, 'murcielago'],\n",
       " ['racime', 6, 'murcielago'],\n",
       " ['mocaré', 6, 'murcielago'],\n",
       " ['mocare', 6, 'murcielago'],\n",
       " ['camero', 6, 'murcielago'],\n",
       " ['camilo', 6, 'murcielago'],\n",
       " ['raiceo', 6, 'murcielago'],\n",
       " ['raiceó', 6, 'murcielago'],\n",
       " ['camelo', 6, 'murcielago'],\n",
       " ['cameló', 6, 'murcielago'],\n",
       " ['mocear', 6, 'murcielago'],\n",
       " ['mielgo', 6, 'murcielago'],\n",
       " ['mielga', 6, 'murcielago'],\n",
       " ['mierla', 6, 'murcielago'],\n",
       " ['micuré', 6, 'murcielago'],\n",
       " ['migare', 6, 'murcielago'],\n",
       " ['migaré', 6, 'murcielago'],\n",
       " ['calero', 6, 'murcielago'],\n",
       " ['reacio', 6, 'murcielago'],\n",
       " ['uremia', 6, 'murcielago'],\n",
       " ['molerá', 6, 'murcielago'],\n",
       " ['miloca', 6, 'murcielago'],\n",
       " ['celoma', 6, 'murcielago'],\n",
       " ['remuga', 6, 'murcielago'],\n",
       " ['remugá', 6, 'murcielago'],\n",
       " ['remugo', 6, 'murcielago'],\n",
       " ['remugó', 6, 'murcielago'],\n",
       " ['murcio', 6, 'murcielago'],\n",
       " ['murceo', 6, 'murcielago'],\n",
       " ['múrice', 6, 'murcielago'],\n",
       " ['remolí', 6, 'murcielago'],\n",
       " ['malero', 6, 'murcielago'],\n",
       " ['ceroma', 6, 'murcielago'],\n",
       " ['galero', 6, 'murcielago'],\n",
       " ['ceruma', 6, 'murcielago'],\n",
       " ['maluco', 6, 'murcielago'],\n",
       " ['muelar', 6, 'murcielago'],\n",
       " ['regaló', 6, 'murcielago'],\n",
       " ['regalo', 6, 'murcielago'],\n",
       " ['moruga', 6, 'murcielago'],\n",
       " ['mórula', 6, 'murcielago'],\n",
       " ['relamí', 6, 'murcielago'],\n",
       " ['relamo', 6, 'murcielago'],\n",
       " ['relucí', 6, 'murcielago'],\n",
       " ['relima', 6, 'murcielago'],\n",
       " ['relimá', 6, 'murcielago'],\n",
       " ['relimo', 6, 'murcielago'],\n",
       " ['relimó', 6, 'murcielago'],\n",
       " ['religó', 6, 'murcielago'],\n",
       " ['religa', 6, 'murcielago'],\n",
       " ['religá', 6, 'murcielago'],\n",
       " ['religo', 6, 'murcielago'],\n",
       " ['régulo', 6, 'murcielago'],\n",
       " ['reguló', 6, 'murcielago'],\n",
       " ['mugaré', 6, 'murcielago'],\n",
       " ['mugare', 6, 'murcielago'],\n",
       " ['regulo', 6, 'murcielago'],\n",
       " ['mariol', 6, 'murcielago'],\n",
       " ['regula', 6, 'murcielago'],\n",
       " ['regulá', 6, 'murcielago'],\n",
       " ['margué', 6, 'murcielago'],\n",
       " ['margue', 6, 'murcielago'],\n",
       " ['muergo', 6, 'murcielago'],\n",
       " ['mulera', 6, 'murcielago'],\n",
       " ['mulero', 6, 'murcielago'],\n",
       " ['marció', 6, 'murcielago'],\n",
       " ['marcio', 6, 'murcielago'],\n",
       " ['marceó', 6, 'murcielago'],\n",
       " ['marceo', 6, 'murcielago'],\n",
       " ['mugirá', 6, 'murcielago'],\n",
       " ['mugiré', 6, 'murcielago'],\n",
       " ['agüero', 6, 'murcielago'],\n",
       " ['cuelgo', 6, 'murcielago'],\n",
       " ['cuelga', 6, 'murcielago'],\n",
       " ['gremio', 6, 'murcielago'],\n",
       " ['cuelmo', 6, 'murcielago'],\n",
       " ['agrume', 6, 'murcielago'],\n",
       " ['agrumé', 6, 'murcielago'],\n",
       " ['agrumó', 6, 'murcielago'],\n",
       " ['agrumo', 6, 'murcielago'],\n",
       " ['críalo', 6, 'murcielago'],\n",
       " ['culera', 6, 'murcielago'],\n",
       " ['culero', 6, 'murcielago'],\n",
       " ['culear', 6, 'murcielago'],\n",
       " ['corleá', 6, 'murcielago'],\n",
       " ['corlea', 6, 'murcielago'],\n",
       " ['gramil', 6, 'murcielago'],\n",
       " ['emigrá', 6, 'murcielago'],\n",
       " ['emigra', 6, 'murcielago'],\n",
       " ['écloga', 6, 'murcielago'],\n",
       " ['emigró', 6, 'murcielago'],\n",
       " ['emigro', 6, 'murcielago'],\n",
       " ['corega', 6, 'murcielago'],\n",
       " ['elogiá', 6, 'murcielago'],\n",
       " ['elogia', 6, 'murcielago'],\n",
       " ['guarió', 6, 'murcielago'],\n",
       " ['eluirá', 6, 'murcielago'],\n",
       " ['guiare', 6, 'murcielago'],\n",
       " ['guiaré', 6, 'murcielago'],\n",
       " ['cuamil', 6, 'murcielago'],\n",
       " ['guairo', 6, 'murcielago'],\n",
       " ['guamil', 6, 'murcielago'],\n",
       " ['igualó', 6, 'murcielago'],\n",
       " ['igualo', 6, 'murcielago'],\n",
       " ['igualé', 6, 'murcielago'],\n",
       " ['iguale', 6, 'murcielago'],\n",
       " ['guareó', 6, 'murcielago'],\n",
       " ['guareo', 6, 'murcielago'],\n",
       " ['icáreo', 6, 'murcielago'],\n",
       " ['alicer', 6, 'murcielago'],\n",
       " ['emular', 6, 'murcielago'],\n",
       " ['golear', 6, 'murcielago'],\n",
       " ['aligué', 6, 'murcielago'],\n",
       " ['aligue', 6, 'murcielago'],\n",
       " ['golera', 6, 'murcielago'],\n",
       " ['áliger', 6, 'murcielago'],\n",
       " ['cogerá', 6, 'murcielago'],\n",
       " ['áurico', 6, 'murcielago'],\n",
       " ['alegró', 6, 'murcielago'],\n",
       " ['alegro', 6, 'murcielago'],\n",
       " ['cóguil', 6, 'murcielago'],\n",
       " ['curiel', 6, 'murcielago'],\n",
       " ['gomera', 6, 'murcielago'],\n",
       " ['curial', 6, 'murcielago'],\n",
       " ['áulico', 6, 'murcielago'],\n",
       " ['gloríe', 6, 'murcielago'],\n",
       " ['almorí', 6, 'murcielago'],\n",
       " ['clareo', 6, 'murcielago'],\n",
       " ['clareó', 6, 'murcielago'],\n",
       " ['ocluía', 6, 'murcielago'],\n",
       " ['ocluir', 6, 'murcielago'],\n",
       " ['glorié', 6, 'murcielago'],\n",
       " ['ocular', 6, 'murcielago'],\n",
       " ['lacero', 6, 'murcielago'],\n",
       " ['laceró', 6, 'murcielago'],\n",
       " ['glamur', 6, 'murcielago'],\n",
       " ['glioma', 6, 'murcielago'],\n",
       " ['ociaré', 6, 'murcielago'],\n",
       " ['clamor', 6, 'murcielago'],\n",
       " ['ociare', 6, 'murcielago'],\n",
       " ['gloriá', 6, 'murcielago'],\n",
       " ['gloría', 6, 'murcielago'],\n",
       " ['gloria', 6, 'murcielago'],\n",
       " ['glauco', 6, 'murcielago'],\n",
       " ['acúleo', 6, 'murcielago'],\n",
       " ['colmar', 6, 'murcielago'],\n",
       " ['colíga', 6, 'murcielago'],\n",
       " ['coliga', 6, 'murcielago'],\n",
       " ['olmeca', 6, 'murcielago'],\n",
       " ['colige', 6, 'murcielago'],\n",
       " ['colgué', 6, 'murcielago'],\n",
       " ['colgar', 6, 'murcielago'],\n",
       " ['colimá', 6, 'murcielago'],\n",
       " ['colima', 6, 'murcielago'],\n",
       " ['colimé', 6, 'murcielago'],\n",
       " ['colime', 6, 'murcielago'],\n",
       " ['comerá', 6, 'murcielago'],\n",
       " ['grácil', 6, 'murcielago'],\n",
       " ['colaré', 6, 'murcielago'],\n",
       " ['colare', 6, 'murcielago'],\n",
       " ['colear', 6, 'murcielago'],\n",
       " ['olería', 6, 'murcielago'],\n",
       " ['coimeá', 6, 'murcielago'],\n",
       " ['coimea', 6, 'murcielago'],\n",
       " ['gorila', 6, 'murcielago'],\n",
       " ['cólera', 6, 'murcielago'],\n",
       " ['oliera', 6, 'murcielago'],\n",
       " ['colera', 6, 'murcielago'],\n",
       " ['colega', 6, 'murcielago'],\n",
       " ['colegí', 6, 'murcielago'],\n",
       " ['moriega', 7, 'murcielago'],\n",
       " ['cairelo', 7, 'murcielago'],\n",
       " ['caireló', 7, 'murcielago'],\n",
       " ['molería', 7, 'murcielago'],\n",
       " ['moliera', 7, 'murcielago'],\n",
       " ['ocluirá', 7, 'murcielago'],\n",
       " ['ocluiré', 7, 'murcielago'],\n",
       " ['mugiera', 7, 'murcielago'],\n",
       " ['colegir', 7, 'murcielago'],\n",
       " ['colemia', 7, 'murcielago'],\n",
       " ['colgare', 7, 'murcielago'],\n",
       " ['colgaré', 7, 'murcielago'],\n",
       " ['colegia', 7, 'murcielago'],\n",
       " ['colegiá', 7, 'murcielago'],\n",
       " ['colegía', 7, 'murcielago'],\n",
       " ['colmare', 7, 'murcielago'],\n",
       " ['colmaré', 7, 'murcielago'],\n",
       " ['colimar', 7, 'murcielago'],\n",
       " ['coligue', 7, 'murcielago'],\n",
       " ['coligué', 7, 'murcielago'],\n",
       " ['coligüe', 7, 'murcielago'],\n",
       " ['colígue', 7, 'murcielago'],\n",
       " ['cogería', 7, 'murcielago'],\n",
       " ['cogiera', 7, 'murcielago'],\n",
       " ['gomería', 7, 'murcielago'],\n",
       " ['colaire', 7, 'murcielago'],\n",
       " ['coimear', 7, 'murcielago'],\n",
       " ['coimera', 7, 'murcielago'],\n",
       " ['comería', 7, 'murcielago'],\n",
       " ['comiera', 7, 'murcielago'],\n",
       " ['glamour', 7, 'murcielago'],\n",
       " ['ciruela', 7, 'murcielago'],\n",
       " ['ciruelo', 7, 'murcielago'],\n",
       " ['coagule', 7, 'murcielago'],\n",
       " ['coagulé', 7, 'murcielago'],\n",
       " ['curiela', 7, 'murcielago'],\n",
       " ['glaucio', 7, 'murcielago'],\n",
       " ['lagrimó', 7, 'murcielago'],\n",
       " ['lagrimo', 7, 'murcielago'],\n",
       " ['lagrimé', 7, 'murcielago'],\n",
       " ['lagrime', 7, 'murcielago'],\n",
       " ['clérigo', 7, 'murcielago'],\n",
       " ['gremial', 7, 'murcielago'],\n",
       " ['comulga', 7, 'murcielago'],\n",
       " ['comulgá', 7, 'murcielago'],\n",
       " ['guarecí', 7, 'murcielago'],\n",
       " ['marueco', 7, 'murcielago'],\n",
       " ['maulero', 7, 'murcielago'],\n",
       " ['milagro', 7, 'murcielago'],\n",
       " ['miguero', 7, 'murcielago'],\n",
       " ['miguera', 7, 'murcielago'],\n",
       " ['camelio', 7, 'murcielago'],\n",
       " ['moceril', 7, 'murcielago'],\n",
       " ['miraglo', 7, 'murcielago'],\n",
       " ['carelio', 7, 'murcielago'],\n",
       " ['carguío', 7, 'murcielago'],\n",
       " ['liguero', 7, 'murcielago'],\n",
       " ['liguera', 7, 'murcielago'],\n",
       " ['lemario', 7, 'murcielago'],\n",
       " ['légrimo', 7, 'murcielago'],\n",
       " ['légrima', 7, 'murcielago'],\n",
       " ['licurgo', 7, 'murcielago'],\n",
       " ['licurga', 7, 'murcielago'],\n",
       " ['licuaré', 7, 'murcielago'],\n",
       " ['licuare', 7, 'murcielago'],\n",
       " ['leucoma', 7, 'murcielago'],\n",
       " ['malcrío', 7, 'murcielago'],\n",
       " ['malcrió', 7, 'murcielago'],\n",
       " ['malcríe', 7, 'murcielago'],\n",
       " ['malcrié', 7, 'murcielago'],\n",
       " ['maicero', 7, 'murcielago'],\n",
       " ['gaélico', 7, 'murcielago'],\n",
       " ['malogré', 7, 'murcielago'],\n",
       " ['malogre', 7, 'murcielago'],\n",
       " ['lucerío', 7, 'murcielago'],\n",
       " ['luciera', 7, 'murcielago'],\n",
       " ['locería', 7, 'murcielago'],\n",
       " ['lumiaco', 7, 'murcielago'],\n",
       " ['amorecí', 7, 'murcielago'],\n",
       " ['rumiaco', 7, 'murcielago'],\n",
       " ['américo', 7, 'murcielago'],\n",
       " ['acolgué', 7, 'murcielago'],\n",
       " ['ulmáceo', 7, 'murcielago'],\n",
       " ['almocrí', 7, 'murcielago'],\n",
       " ['almorcé', 7, 'murcielago'],\n",
       " ['aloguer', 7, 'murcielago'],\n",
       " ['relució', 7, 'murcielago'],\n",
       " ['relucía', 7, 'murcielago'],\n",
       " ['relamió', 7, 'murcielago'],\n",
       " ['remolía', 7, 'murcielago'],\n",
       " ['remolcá', 7, 'murcielago'],\n",
       " ['remolca', 7, 'murcielago'],\n",
       " ['remilgó', 7, 'murcielago'],\n",
       " ['remilgo', 7, 'murcielago'],\n",
       " ['remílga', 7, 'murcielago'],\n",
       " ['remilga', 7, 'murcielago'],\n",
       " ['reguiló', 7, 'murcielago'],\n",
       " ['reguilo', 7, 'murcielago'],\n",
       " ['reguilá', 7, 'murcielago'],\n",
       " ['reguila', 7, 'murcielago'],\n",
       " ['elogiar', 7, 'murcielago'],\n",
       " ['agremio', 7, 'murcielago'],\n",
       " ['agremió', 7, 'murcielago'],\n",
       " ['acuelgo', 7, 'murcielago'],\n",
       " ['aligero', 7, 'murcielago'],\n",
       " ['aligeró', 7, 'murcielago'],\n",
       " ['alígero', 7, 'murcielago'],\n",
       " ['aliruce', 7, 'murcielago'],\n",
       " ['alirucé', 7, 'murcielago'],\n",
       " ['alguero', 7, 'murcielago'],\n",
       " ['urálico', 7, 'murcielago'],\n",
       " ['urémica', 7, 'murcielago'],\n",
       " ['urémico', 7, 'murcielago'],\n",
       " ['uracilo', 7, 'murcielago'],\n",
       " ['recaigo', 7, 'murcielago'],\n",
       " ['recogía', 7, 'murcielago'],\n",
       " ['recomía', 7, 'murcielago'],\n",
       " ['recluía', 7, 'murcielago'],\n",
       " ['reclamo', 7, 'murcielago'],\n",
       " ['reclamó', 7, 'murcielago'],\n",
       " ['guareció', 8, 'murcielago'],\n",
       " ['glucemia', 8, 'murcielago'],\n",
       " ['leguario', 8, 'murcielago'],\n",
       " ['lagrimeó', 8, 'murcielago'],\n",
       " ['lagrimeo', 8, 'murcielago'],\n",
       " ['milagreó', 8, 'murcielago'],\n",
       " ['milagreo', 8, 'murcielago'],\n",
       " ['merolica', 8, 'murcielago'],\n",
       " ['moralicé', 8, 'murcielago'],\n",
       " ['moralice', 8, 'murcielago'],\n",
       " ['mucílago', 8, 'murcielago'],\n",
       " ['mucilago', 8, 'murcielago'],\n",
       " ['amiguero', 8, 'murcielago'],\n",
       " ['alérgico', 8, 'murcielago'],\n",
       " ['coligaré', 8, 'murcielago'],\n",
       " ['coligare', 8, 'murcielago'],\n",
       " ['colimare', 8, 'murcielago'],\n",
       " ['colimaré', 8, 'murcielago'],\n",
       " ['colegiar', 8, 'murcielago'],\n",
       " ['colegirá', 8, 'murcielago'],\n",
       " ['comulgar', 8, 'murcielago'],\n",
       " ['coaligue', 8, 'murcielago'],\n",
       " ['coaligué', 8, 'murcielago'],\n",
       " ['coalígue', 8, 'murcielago'],\n",
       " ['comulgaré', 9, 'murcielago'],\n",
       " ['comulgare', 9, 'murcielago'],\n",
       " ['coguilera', 9, 'murcielago'],\n",
       " ['murciégalo', 10, 'murcielago'],\n",
       " ['murciélago', 10, 'murcielago'],\n",
       " ['morceguila', 10, 'murcielago']]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "soluciones = []\n",
    "propuesta_helena = 'murcielago'\n",
    "\n",
    "for palabra in palabras_candidatas['Palabra'].values:\n",
    "    if es_solucion(reemplazar_acentos(list(palabra)), propuesta_helena):\n",
    "        soluciones.append([palabra, len(palabra), ''.join(propuesta_helena)])\n",
    "\n",
    "print(len(soluciones))\n",
    "soluciones\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "57ddc08a-fba9-4c29-9685-cd0ed9b3242a",
   "metadata": {},
   "outputs": [],
   "source": [
    "analisis = []\n",
    "\n",
    "for nvocales in [1,2,3,4,5,6,7,8,9]:\n",
    "    for i in range(100):\n",
    "        \n",
    "        soluciones = []\n",
    "        propuesta_helena = generar_juego(nvocales = nvocales)\n",
    "\n",
    "        for palabra in palabras_candidatas['Palabra'].values:\n",
    "            if es_solucion(reemplazar_acentos(list(palabra)), propuesta_helena):\n",
    "                soluciones.append([palabra, len(palabra), ''.join(propuesta_helena)])\n",
    "\n",
    "        analisis.append([nvocales, len(soluciones)])\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "542fa236-995d-4561-b4b3-ca3a19b566d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['202405230955_solutions.joblib']"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "joblib.dump(\n",
    "    value = {'rae': rae, \n",
    "             'palabras_candidatas': palabras_candidatas, \n",
    "             'analisis': {'data': analisis, \n",
    "                          'nvocales': [1,2,3,4,5,6,7,8,9], \n",
    "                          'iterations': 100}},\n",
    "    filename = datetime.datetime.now().strftime(\"%Y%m%d%H%M\") + '_solutions.joblib')\n",
    "   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "47394137-4c71-447a-90e0-9459dd7b12f6",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Soluciones</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vocales</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100.0</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.140705</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100.0</td>\n",
       "      <td>9.86</td>\n",
       "      <td>15.007083</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>3.0</td>\n",
       "      <td>13.00</td>\n",
       "      <td>82.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100.0</td>\n",
       "      <td>40.67</td>\n",
       "      <td>49.904971</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.00</td>\n",
       "      <td>21.0</td>\n",
       "      <td>46.25</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100.0</td>\n",
       "      <td>63.90</td>\n",
       "      <td>80.574014</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.75</td>\n",
       "      <td>36.0</td>\n",
       "      <td>79.25</td>\n",
       "      <td>523.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100.0</td>\n",
       "      <td>77.28</td>\n",
       "      <td>99.010364</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.75</td>\n",
       "      <td>42.0</td>\n",
       "      <td>104.75</td>\n",
       "      <td>674.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100.0</td>\n",
       "      <td>57.34</td>\n",
       "      <td>88.655982</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.75</td>\n",
       "      <td>23.0</td>\n",
       "      <td>63.75</td>\n",
       "      <td>533.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>100.0</td>\n",
       "      <td>41.81</td>\n",
       "      <td>57.751067</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.75</td>\n",
       "      <td>22.5</td>\n",
       "      <td>53.00</td>\n",
       "      <td>329.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>100.0</td>\n",
       "      <td>11.52</td>\n",
       "      <td>18.997863</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>7.0</td>\n",
       "      <td>13.00</td>\n",
       "      <td>124.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>100.0</td>\n",
       "      <td>0.60</td>\n",
       "      <td>1.206045</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Soluciones                                                   \n",
       "             count   mean        std  min    25%   50%     75%    max\n",
       "Vocales                                                              \n",
       "1            100.0   0.02   0.140705  0.0   0.00   0.0    0.00    1.0\n",
       "2            100.0   9.86  15.007083  0.0   0.75   3.0   13.00   82.0\n",
       "3            100.0  40.67  49.904971  0.0  11.00  21.0   46.25  215.0\n",
       "4            100.0  63.90  80.574014  0.0  12.75  36.0   79.25  523.0\n",
       "5            100.0  77.28  99.010364  0.0  19.75  42.0  104.75  674.0\n",
       "6            100.0  57.34  88.655982  0.0   9.75  23.0   63.75  533.0\n",
       "7            100.0  41.81  57.751067  0.0   3.75  22.5   53.00  329.0\n",
       "8            100.0  11.52  18.997863  0.0   0.75   7.0   13.00  124.0\n",
       "9            100.0   0.60   1.206045  0.0   0.00   0.0    1.00    6.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(analisis, columns = ['Vocales', 'Soluciones']).groupby(['Vocales']).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "bcf18bd2-05a3-4d84-8d85-6f0fa6f5db88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows = 1, ncols = 1, figsize = (8,4))\n",
    "\n",
    "pd.DataFrame(analisis, columns = ['Vocales', 'Soluciones']).groupby(['Vocales']).mean().plot.bar(ax = ax, legend = None, width = 0.8)\n",
    "\n",
    "for i, v in enumerate(pd.DataFrame(analisis, columns = ['Vocales', 'Soluciones']).groupby(['Vocales']).mean()['Soluciones']):\n",
    "    ax.text(i, v + 5, str(v), color = '0.6', fontweight = 'bold', verticalalignment = 'center', horizontalalignment = 'center')\n",
    "\n",
    "ax.grid(linestyle = ':', axis = 'y')\n",
    "ax.set_xticks([0,1,2,3,4,5,6,7,8], labels = [1,2,3,4,5,6,7,8,9],rotation = 0)\n",
    "ax.set_ylim(0,90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "fdabd6b9-c687-497f-805b-fcecbd64d76a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Vocales', ylabel='Soluciones'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(\n",
    "    x = 'Vocales',\n",
    "    y = 'Soluciones',\n",
    "    showfliers = False,\n",
    "    data = pd.DataFrame(analisis, columns = ['Vocales', 'Soluciones']).reset_index())\n",
    "    "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.16"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}