Clusters.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\PC-Usuario\\anaconda3\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
      "C:\\Users\\PC-Usuario\\anaconda3\\lib\\site-packages\\numpy\\.libs\\libopenblas.FB5AE2TYXYH2IJRDKGDGQ3XBKLKTF43H.gfortran-win_amd64.dll\n",
      "C:\\Users\\PC-Usuario\\anaconda3\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.21-gcc_10_3_0.dll\n",
      "  warnings.warn(\"loaded more than 1 DLL from .libs:\"\n",
      "C:\\Users\\PC-Usuario\\anaconda3\\lib\\site-packages\\scipy\\__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.24.2\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    }
   ],
   "source": [
    "import statistics\n",
    "import requests\n",
    "import spacy\n",
    "import re\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "from bs4 import BeautifulSoup\n",
    "import colorcet as cc\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"db_completa.csv\", index_col=\"Unnamed: 0\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Centralizados\n",
    "\n",
    "Nos enfocamos en las dependencias centralizadas ya que son las que tienen mayor homogeneidad en sus descripciones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "centralizados = df[df[\"centralizado\"] == True]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vectorizamos las descripciones mediante TF-IDF, luego mido la similaridad coseno entre todas las vectorizaciones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.preprocessing import normalize\n",
    "from sklearn.feature_selection import VarianceThreshold\n",
    "\n",
    "corpus = list(centralizados[\"proc_text\"].astype(str))\n",
    "\n",
    "vectorizer = TfidfVectorizer(ngram_range=(1, 3))\n",
    "model = vectorizer.fit_transform(corpus)\n",
    "model = normalize(model, axis=1, norm=\"max\")\n",
    "model = VarianceThreshold(threshold=1e-3).fit_transform(model)\n",
    "\n",
    "similarity_kernel = cosine_similarity(model)\n",
    "\n",
    "tf_idf = pd.DataFrame(similarity_kernel, index=centralizados[\"organismo_ente\"], columns=centralizados[\"organismo_ente\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clusterización y visualizaciones\n",
    "\n",
    "Ahora mediante t-SNE reducimos la dimensionalidad de los vectores para poder graficarlos. Además mediante HDBSCAN identificamos los principales clusters y coloreamos cada dependencia en base a su cluster de pertenencia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.manifold import TSNE\n",
    "from sklearn.decomposition import TruncatedSVD\n",
    "import random\n",
    "\n",
    "random.seed(123)\n",
    "fmd = tf_idf\n",
    "## Si t-SNE tarda mucho se puede hacer una primera reducción mediante SVD\n",
    "#svd = TruncatedSVD(n_components=8, n_iter=200, random_state=42)\n",
    "#svd.fit(fmd.T)\n",
    "X_embedded = TSNE(n_components=2,random_state=123).fit_transform(tf_idf.T)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import hdbscan\n",
    "clusterer = hdbscan.HDBSCAN(min_cluster_size=5)\n",
    "cluster_labels_orig = clusterer.fit_predict(tf_idf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "clusterer = hdbscan.HDBSCAN(min_cluster_size=5)\n",
    "cluster_labels = clusterer.fit_predict(X_embedded)\n",
    "data = {'x': X_embedded[:, 0],\n",
    "        'y': X_embedded[:, 1],\n",
    "       'cluster': cluster_labels,\n",
    "       'cluster_orig': cluster_labels_orig,\n",
    "       'name':tf_idf.index}\n",
    "  \n",
    "# Create DataFrame\n",
    "df = pd.DataFrame(data)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "palette = sns.color_palette(cc.glasbey, n_colors=14)\n",
    "clusters = {3:'seguridad',1:'Unidad asesores',5:'trabajo', 6:'secretaria administrativa',2:'ciencia y tec',10:'transporte',\n",
    " 0:'salud',4:'educación',9:'defensa',-1:'resto',11:'economía-desarrollo-agri',12:'territorial',8:'inclusión',7:'administrativa'}\n",
    "df['cluster_label'] = df['cluster_orig'].apply(lambda x: clusters[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f31df084f10>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import colorcet as cc\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set(rc={'figure.figsize':(20,15)})\n",
    "sns.set_style(\"white\")\n",
    "#palette=['black','#B5E0EA','#213AA9','#848279','#AFA36E','#FFD900','#7D1B9C','#5D896F','#D3D3E0','#9C9CBC','#FF9750','#E27124','#7BB5C4','#FBB5F5']\n",
    "plt.figure(dpi=150)\n",
    "\n",
    "sns.scatterplot(data=df, x=\"x\", y=\"y\", hue=\"cluster_label\",  palette=palette)\n",
    "\n",
    "plt.savefig('clusters.png')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualización de un cluster en particular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(20,15)})\n",
    "territorial = df[(df['cluster_label']=='territorial')]\n",
    "territorial = territorial.reset_index()\n",
    "p1 = sns.scatterplot(data=territorial, x=\"x\", y=\"y\",  color='blue', s=80)\n",
    "plt.title('Desarrollo Territorail y Social', fontsize=30)\n",
    "\n",
    "plt.xlim([-9.5, -5])\n",
    "\n",
    "for line in range(0,territorial.shape[0]):\n",
    "        if (territorial.x[line] > -6):\n",
    "            p1.text(territorial.x[line]-1.5, territorial.y[line], \n",
    "             territorial.name[line], horizontalalignment='left', \n",
    "             size=9, color='black', weight='semibold')\n",
    "        else:\n",
    "             p1.text(territorial.x[line]+0.01, territorial.y[line], \n",
    "             territorial.name[line], horizontalalignment='left', \n",
    "             size=9, color='black', weight='semibold')\n",
    "        \n",
    "plt.savefig('cluster_zoom_territorial.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "centralizados.to_csv('centralizados_con_cluster.csv')"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}