nearest_neighbors.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import os\n",
    "import pandas as pd\n",
    "from sklearn.neighbors import NearestNeighbors\n",
    "fpc = \"/home/admin123/Starspace/\"+ \"data/customer_rep.csv\"\n",
    "df = pd.read_csv(fpc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "req_cols = list(set(list(df.columns)) - set(list([\"Customer\"])))\n",
    "X = df[req_cols].values\n",
    "Y = df[\"Customer\"].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "nbrs = NearestNeighbors(n_neighbors=3, algorithm='ball_tree').fit(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp = \"/home/admin123/Starspace/\"+ \"data/Online_Retail.csv\"\n",
    "df = pd.read_csv(fp)\n",
    "df = df[-df['InvoiceNo'].str.startswith(\"C\")]\n",
    "df = df[-df['StockCode'].str.startswith(\"BANK\")]\n",
    "#req_cols = [\"CustomerID\", \"InvoiceNo\", \"StockCode\"]\n",
    "df = df.dropna()\n",
    "df[\"CustomerID\"] = df[\"CustomerID\"].astype(int)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"ItemTotal\"] = df[\"UnitPrice\"] * df[\"Quantity\"]\n",
    "df_inv_summary = df.groupby([\"CustomerID\",\"InvoiceNo\"]).agg({'ItemTotal': ['sum'], 'Quantity':['sum'], 'StockCode':['count']})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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></th>\n",
       "      <th>StockCode</th>\n",
       "      <th>ItemTotal</th>\n",
       "      <th>Quantity</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>sum</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CustomerID</th>\n",
       "      <th>InvoiceNo</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12346</th>\n",
       "      <th>541431</th>\n",
       "      <td>1</td>\n",
       "      <td>77183.60</td>\n",
       "      <td>74215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">12347</th>\n",
       "      <th>537626</th>\n",
       "      <td>31</td>\n",
       "      <td>711.79</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542237</th>\n",
       "      <td>29</td>\n",
       "      <td>475.39</td>\n",
       "      <td>315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549222</th>\n",
       "      <td>24</td>\n",
       "      <td>636.25</td>\n",
       "      <td>483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556201</th>\n",
       "      <td>18</td>\n",
       "      <td>382.52</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562032</th>\n",
       "      <td>22</td>\n",
       "      <td>584.91</td>\n",
       "      <td>277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573511</th>\n",
       "      <td>47</td>\n",
       "      <td>1294.32</td>\n",
       "      <td>676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581180</th>\n",
       "      <td>11</td>\n",
       "      <td>224.82</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">12348</th>\n",
       "      <th>539318</th>\n",
       "      <td>17</td>\n",
       "      <td>892.80</td>\n",
       "      <td>1254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541998</th>\n",
       "      <td>6</td>\n",
       "      <td>227.44</td>\n",
       "      <td>601</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     StockCode ItemTotal Quantity\n",
       "                         count       sum      sum\n",
       "CustomerID InvoiceNo                             \n",
       "12346      541431            1  77183.60    74215\n",
       "12347      537626           31    711.79      319\n",
       "           542237           29    475.39      315\n",
       "           549222           24    636.25      483\n",
       "           556201           18    382.52      196\n",
       "           562032           22    584.91      277\n",
       "           573511           47   1294.32      676\n",
       "           581180           11    224.82      192\n",
       "12348      539318           17    892.80     1254\n",
       "           541998            6    227.44      601"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_inv_summary.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "index_lookup = {Y[i]: i for i in range(len(Y))}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_12347 = index_lookup[12348]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "query_pt = np.reshape(X[x_12347], (1, X.shape[1]))\n",
    "distances, indices = nbrs.kneighbors(query_pt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[12348, 17180, 13081]])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y[indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "purchases_12347 = set(df.query(\"CustomerID == 12347\")[\"StockCode\"].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "purchases_12348 = set(df.query(\"CustomerID == 12348\")[\"StockCode\"].tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'23076', '84991', '84992'}"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "purchases_12347.intersection(purchases_12348)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'21211',\n",
       " '21213',\n",
       " '21725',\n",
       " '21726',\n",
       " '21967',\n",
       " '21977',\n",
       " '21980',\n",
       " '21981',\n",
       " '21982',\n",
       " '21983',\n",
       " '21985',\n",
       " '22437',\n",
       " '22616',\n",
       " '22951',\n",
       " '22952',\n",
       " '23076',\n",
       " '23077',\n",
       " '23078',\n",
       " '84988',\n",
       " '84991',\n",
       " '84992',\n",
       " 'POST'}"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "purchases_12348"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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