{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = np.array([[10, 2.7, 3.6, 5], [-100, 5, -2, 10], [120, 20, 40, 50]],\n",
    "             dtype=np.float64)\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def normalize(x, axis, method, minmax_range=(0, 1)):\n",
    "    if method == 'z-score':\n",
    "        scale_a = preprocessing.scale(x, axis=axis)\n",
    "    elif method == 'minmax':\n",
    "        scale_a = preprocessing.minmax_scale(\n",
    "            x, axis=axis,\n",
    "            feature_range=minmax_range)  # default feature range 0~1\n",
    "    return scale_a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Z-Score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 改變axis，看看結果如何變化\n",
    "axis = 0\n",
    "scale_a = normalize(a, axis, method='z-score')\n",
    "print(scale_a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(scale_a.std(axis=axis))\n",
    "print(scale_a.mean(axis=axis))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Maxmin Scale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 改變axis，看看結果如何變化\n",
    "axis = 0\n",
    "# 改變minmax_range看看結果如何變化\n",
    "scale_a = normalize(a, axis, method='minmax', minmax_range=(0, 1))\n",
    "print(scale_a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(scale_a.max(axis=axis))\n",
    "print(scale_a.min(axis=axis))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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