Day2- String operation作業.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 作業目標：運用課程所學，操作字串達到預期輸出"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### isnumeric(), isdigit(), isdecimal() 各有幾個"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_string = ['5.9', '30', '½', '³', '⑬']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def spam(s, isnumeric_count, isdigit_count, isdecimal_count):\n",
    "    for attr in ['isnumeric', 'isdecimal', 'isdigit']:\n",
    "        if attr == 'isnumeric':\n",
    "            if s.isnumeric() == True:\n",
    "                isnumeric_count += 1\n",
    "        elif attr == 'isdecimal':\n",
    "            if s.isdecimal() == True:\n",
    "                isdecimal_count += 1\n",
    "        else:\n",
    "            if s.isdigit() == True:\n",
    "                isdigit_count += 1\n",
    "    return isnumeric_count, isdigit_count, isdecimal_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "isnumeric_count: 4\nisdigit_count: 2\nisdecimal_count: 1\n"
     ]
    }
   ],
   "source": [
    "isnumeric_count = 0\n",
    "isdecimal_count = 0\n",
    "isdigit_count = 0\n",
    "\n",
    "for string in test_string:\n",
    "    isnumeric_count, isdigit_count, isdecimal_count =spam(string, isnumeric_count, isdigit_count, isdecimal_count)\n",
    "\n",
    "print('isnumeric_count: {}'.format(isnumeric_count))     \n",
    "print('isdigit_count: {}'.format(isdigit_count))     \n",
    "print('isdecimal_count: {}'.format(isdecimal_count))  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 運用formatting 技巧 output\n",
    "    * Accuracy: 98.13%, Recall: 94.88%, Precision: 96.29%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy = 98.129393\n",
    "recall =   94.879583\n",
    "precision =96.294821"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Accuracy: 98.13%, Recall: 94.88%, Precision: 96.29%\n"
     ]
    }
   ],
   "source": [
    "print('Accuracy: {:.2f}%, Recall: {:.2f}%, Precision: {:.2f}%'.format(accuracy, recall, precision))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "accuracy = 0.98129393\n",
    "recall =   0.94879583\n",
    "precision =0.96294821"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Accuracy: 98.13%, Recall: 94.88%, Precision: 96.29%\n"
     ]
    }
   ],
   "source": [
    "print('Accuracy: {:.2f}%, Recall: {:.2f}%, Precision: {:.2f}%'.format(accuracy, recall, precision))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 依照只是轉換number output format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "number = 3.1415926"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 轉換為科學符號表示法 (小數點後兩位)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "3.14E+00\n"
     ]
    }
   ],
   "source": [
    "print('%.2E' % number)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 轉換為%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "314.16%\n"
     ]
    }
   ],
   "source": [
    "print('{:.2%}'.format(number))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 補零成為3.14159300"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "3.14159300\n"
     ]
    }
   ],
   "source": [
    "print('{:0<10f}'.format(number))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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