gist_1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.neighbors import NearestNeighbors\n",
    "X = np.array(df[['latitud','longitud']])\n",
    "nbrs = NearestNeighbors(n_neighbors=1, algorithm='brute')\n",
    "distances = []\n",
    "for i in range(0,X.shape[0]):\n",
    "    nbrs.fit(np.delete(X, i ,0))\n",
    "    distance, index = nbrs.kneighbors(X[i].reshape(1,-1))\n",
    "    val = float('%.4f'%(distance[0][0]))\n",
    "    distances.append(val)\n"
   ]
  }
 ],
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