Sampling-Preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sampling\n",
    "Sample Exalted Orb Data from the whole giant dataset for learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Config finished!\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#setup\n",
    "import os, sys\n",
    "current_path = os.path.abspath('')\n",
    "parent_path = os.path.dirname(current_path)\n",
    "source_path = f'{parent_path}\\\\src'\n",
    "if not source_path in sys.path: sys.path.append(source_path)\n",
    "\n",
    "#customs\n",
    "from data_model import *\n",
    "from data_helper import *\n",
    "from config import *\n",
    "setup()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['__module__', 'LEAGUES', 'DATA_PATH', 'REDUCED', 'INTERESTING_CURRENCIES', 'IMG_OUTPUT_PATH', 'DPI_OUTPUT', 'SAMPLE_LEAGUE_NAME', '__dict__', '__weakref__', '__doc__'])"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Constants.__dict__.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default:  ./data\n",
      "changed:  ../data\n"
     ]
    }
   ],
   "source": [
    "print('default: ', Constants.DATA_PATH)\n",
    "Constants.DATA_PATH = '../data'\n",
    "print('changed: ', Constants.DATA_PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loading League Data, league: Essence\n",
      "Load POE DATA, league specific name: Essence, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Essence, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Breach\n",
      "Load POE DATA, league specific name: Breach, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Breach, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Legacy\n",
      "Load POE DATA, league specific name: Legacy, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Legacy, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Harbinger\n",
      "Load POE DATA, league specific name: Harbinger, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Harbinger, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Abyss\n",
      "Load POE DATA, league specific name: Abyss, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Abyss, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Bestiary\n",
      "Load POE DATA, league specific name: Bestiary, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Bestiary, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Incursion\n",
      "Load POE DATA, league specific name: Incursion, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Incursion, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Delve\n",
      "Load POE DATA, league specific name: Delve, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Delve, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Betrayal\n",
      "Load POE DATA, league specific name: Betrayal, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Betrayal, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Synthesis\n",
      "Load POE DATA, league specific name: Synthesis, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Synthesis, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Legion\n",
      "Load POE DATA, league specific name: Legion, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Legion, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Blight\n",
      "Load POE DATA, league specific name: Blight, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Blight, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Metamorph\n",
      "Load POE DATA, league specific name: Metamorph, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Metamorph, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Delirium\n",
      "Load POE DATA, league specific name: Delirium, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Delirium, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Harvest\n",
      "Load POE DATA, league specific name: Harvest, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Harvest, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Heist\n",
      "Load POE DATA, league specific name: Heist, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Heist, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Ritual\n",
      "Load POE DATA, league specific name: Ritual, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Ritual, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Ultimatum\n",
      "Load POE DATA, league specific name: Ultimatum, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Ultimatum, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Loading League Data, league: Expedition\n",
      "Load POE DATA, league specific name: Expedition, type: Event\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore Expedition, type: Event Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Hardcore, type: Hardcore\n",
      "Reading currency!\n",
      "Reading items!\n",
      "Load POE DATA, league specific name: Standard, type: Standard\n",
      "Reading currency!\n",
      "Reading items!\n"
     ]
    }
   ],
   "source": [
    "DATA = DataHelper.load_all_leagues_data(Constants.DATA_PATH, Constants.LEAGUES)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## NOTE:\n",
    "**`Here we will be working with exalted orb`**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data shape:  (1807, 6)\n"
     ]
    },
    {
     "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>League</th>\n",
       "      <th>Date</th>\n",
       "      <th>Get</th>\n",
       "      <th>Pay</th>\n",
       "      <th>Value</th>\n",
       "      <th>Confidence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Essence</td>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>Exalted Orb</td>\n",
       "      <td>Chaos Orb</td>\n",
       "      <td>64.00417</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Essence</td>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>Exalted Orb</td>\n",
       "      <td>Chaos Orb</td>\n",
       "      <td>64.51451</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Essence</td>\n",
       "      <td>2016-09-10</td>\n",
       "      <td>Exalted Orb</td>\n",
       "      <td>Chaos Orb</td>\n",
       "      <td>65.00280</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Essence</td>\n",
       "      <td>2016-09-11</td>\n",
       "      <td>Exalted Orb</td>\n",
       "      <td>Chaos Orb</td>\n",
       "      <td>65.05764</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Essence</td>\n",
       "      <td>2016-09-12</td>\n",
       "      <td>Exalted Orb</td>\n",
       "      <td>Chaos Orb</td>\n",
       "      <td>65.98811</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    League       Date          Get        Pay     Value Confidence\n",
       "0  Essence 2016-09-08  Exalted Orb  Chaos Orb  64.00417       High\n",
       "1  Essence 2016-09-09  Exalted Orb  Chaos Orb  64.51451       High\n",
       "2  Essence 2016-09-10  Exalted Orb  Chaos Orb  65.00280       High\n",
       "3  Essence 2016-09-11  Exalted Orb  Chaos Orb  65.05764       High\n",
       "4  Essence 2016-09-12  Exalted Orb  Chaos Orb  65.98811       High"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "NAME = 'Exalted Orb'\n",
    "full_exalted_data = DataHelper.get_concatinated_currency_data(NAME, DATA)\n",
    "print('data shape: ', full_exalted_data.shape)\n",
    "full_exalted_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure = plt.figure(figsize=(20,10))\n",
    "ax = figure.add_subplot(1,1,1)\n",
    "sns.lineplot(data=full_exalted_data,x='Date', y='Value', hue='League')\n",
    "\n",
    "ylim_low, ylim_high = ax.get_ylim()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Process"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transformed confidence mapping:  {'High': 0, 'Low': 1, 'Medium': 2}\n"
     ]
    },
    {
     "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>Date</th>\n",
       "      <th>Value</th>\n",
       "      <th>League</th>\n",
       "      <th>Confidence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-09-08</td>\n",
       "      <td>64.00417</td>\n",
       "      <td>Essence</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-09-09</td>\n",
       "      <td>64.51451</td>\n",
       "      <td>Essence</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Date     Value   League  Confidence\n",
       "0 2016-09-08  64.00417  Essence           0\n",
       "1 2016-09-09  64.51451  Essence           0"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "def process(df, name = NAME):\n",
    "    # quick check pay\n",
    "    pay_currencies = df['Pay'].unique()\n",
    "    if len(pay_currencies) != 1 and pay_currencies[0] != 'Chaos Orb': raise TypeError('Pay Currency is not Chaos Orb (medium)')\n",
    "    \n",
    "    # quick check get\n",
    "    get_currencies = df['Get'].unique()\n",
    "    if len(get_currencies) != 1 and get_currencies[0] != name: raise TypeError('Pay Currency is not Chaos Orb (medium)')\n",
    "\n",
    "    #engineering\n",
    "    selected_features = [\n",
    "        'Date',\n",
    "        'Value',\n",
    "        'League', # this could (or not) be useful, but i decide to just keep it\n",
    "    ]\n",
    "    df_return = df[selected_features].copy()\n",
    "\n",
    "    enc = LabelEncoder()\n",
    "    df_return['Confidence'] = enc.fit_transform(df['Confidence'])\n",
    "    mapping = dict(zip(enc.classes_,enc.transform(enc.classes_)))\n",
    "    print('Transformed confidence mapping: ', mapping)\n",
    "    \n",
    "    return df_return\n",
    "\n",
    "df_processed = process(full_exalted_data)\n",
    "df_processed.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date          [2016-09-08T00:00:00.000000000, 2016-09-09T00:...\n",
       "Value         [64.00417, 64.51451, 65.0028, 65.05764, 65.988...\n",
       "League        [Essence, Breach, Legacy, Harbinger, Abyss, Be...\n",
       "Confidence                                            [0, 1, 2]\n",
       "dtype: object"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_processed.apply(lambda x: x.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check and cleanup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date          0\n",
       "Value         0\n",
       "League        0\n",
       "Confidence    0\n",
       "dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check null\n",
    "df_processed.isna().sum(axis=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "OUTPUT_PATH = './data'\n",
    "df_processed.to_csv(f'{OUTPUT_PATH}/{NAME}.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1807, 4)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_processed.shape"
   ]
  }
 ],
 "metadata": {
  "language_info": {
   "name": "python"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}