{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "size_mapping = {'S':0, 'M':1, 'L':2, 'XL':3} #define map as dictionary\n",
    "label_mapping = {'否':0, '是':1} #define map as dictionary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_Xy = {'衣服size':['XL','S','M','L'],'成功與否':['是','否','否','是']}\n",
    "df = pd.DataFrame(data = data_Xy, index=['小明','小林','小英','小陳'])\n",
    "df = df[['衣服size','成功與否']]\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_encode = df.copy()\n",
    "df_encode['衣服size'] = df_encode['衣服size'].map(size_mapping)\n",
    "df_encode['成功與否'] = df_encode['成功與否'].map(label_mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_encode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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