{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Python Basic**\n",
    "지난 수업 이후로 **Python 에서 기본 모듈로** 구현가능한 내용들 정리하기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1 math 계산하기**\n",
    "목적 : **생성한 Dict 객체 호출시 기본값을 특정하여** 오류처리 없이도 전체 과정이 진행"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import math\n",
    "math.ceil(3.14)   # 올림 : 결과는 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "math.floor(3.14)  # 내림 : 결과는 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-3"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "math.trunc(-3.14) # trunc() 내림을 해도 0을 향한다"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(3.1415)     # 반올림 : Python 내장함수를 사용"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "# **Dict 객체 다루기**\n",
    "**default Dict** 과 **Ordered Dict** 기초 [블로그](https://dongdongfather.tistory.com/71?category=680339) 정리\n",
    "1. 자료형 작업을 하다보면 **dict 객체를** 다양하게 정의할 필요가 있다\n",
    "\n",
    "## **1 defaultDict**\n",
    "목적 : **생성한 Dict 객체 호출시 기본값을 특정하여** 오류처리 없이도 전체 과정이 진행"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "defaultdict(int, {})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import defaultdict\n",
    "int_dict = defaultdict(int)\n",
    "int_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "defaultdict(int, {'key1': 0})"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 입력값이 없어도, 호출시 \"int\" 를 자동생성\n",
    "# 작업 과정에 오류가 있어도 Dict 객체를 생성\n",
    "print(int_dict['key1'])\n",
    "int_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "defaultdict(int, {'key1': 0, 'key2': 'test'})"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int_dict['key2'] = 'test'\n",
    "int_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "defaultdict(int, {'key1': 0, 'key2': 'test', 'key3': 0})"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "int_dict['key3']\n",
    "int_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **2 OrderedDict**\n",
    "dict 객체를 순서에 따라 정렬할 필요가 있을때\n",
    "1. **\"Json\" 의 Header 안내를** 컬럼으로 활용하는 방법을 알아보자\n",
    "1. dict 객체를 [list 내부 (tuple) 묶음으로 관리 및 활용]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "OrderedDict([('NUM', '번호'),\n",
       "             ('FOOD_CD', '식품코드'),\n",
       "             ('DESC_KOR', '식품이름'),\n",
       "             ('SERVING_WT', '1회제공량(g)')])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col_to_kor = {\n",
    "    \"NUM\":\"번호\",\n",
    "    \"FOOD_CD\":\"식품코드\",\n",
    "    \"DESC_KOR\":\"식품이름\",\n",
    "    \"SERVING_WT\":\"1회제공량(g)\",\n",
    "}\n",
    "\n",
    "from collections import OrderedDict\n",
    "json_keys = OrderedDict(col_to_kor)\n",
    "json_keys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['NUM', 'FOOD_CD', 'DESC_KOR', 'SERVING_WT']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(OrderedDict(col_to_kor).keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br>\n",
    "\n",
    "# **시계열 데이터 다루기**\n",
    "**python** 의 기본 **datetime** 객체 다루기\n",
    "1. 요즘들어 Python 기본 모듈로 인코딩 변환이 취미가 됨...\n",
    "1. 가능하면 외부 모듈이 아닌, **Python 기본 모듈을** 로 최대한 구현해보기"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **1 Datetime 모듈**\n",
    "Python 에서 기본 Datetime 객체 다루기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Monday 21. October 2019\n",
      "2019-10-21\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2019, 10, 10, 12, 12, 12, 1000)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime, timedelta\n",
    "print(datetime.today().strftime(\"%A %d. %B %Y\"))\n",
    "print(datetime.today().strftime('%Y-%m-%d'))\n",
    "# 년, 월, 일, 시간, 분, 초\n",
    "datetime(2019,10,10,12,12,12,1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2019, 9, 30, 0, 0)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 수치를 활용한 보간\n",
    "# 날짜를 연산으로 변환된 값을 추출 가능\n",
    "datetime(2019,10,10) - timedelta(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "datetime.datetime(2019, 1, 1, 0, 0)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datetime.strptime('20190101', '%Y%d%m')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **2 Pandas**\n",
    "datetime 객체를 활용하는 Pandas 모듈"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-01-01', '2019-01-02', '2019-01-03', '2019-01-04',\n",
       "               '2019-01-05', '2019-01-06', '2019-01-07', '2019-01-08',\n",
       "               '2019-01-09', '2019-01-10'],\n",
       "              dtype='datetime64[ns]', freq='D')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10일의 기간 출력\n",
    "import pandas as pd\n",
    "pd.date_range('2019/01/01', periods=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-01-01', '2019-01-02', '2019-01-03', '2019-01-04',\n",
       "               '2019-01-07', '2019-01-08', '2019-01-09', '2019-01-10',\n",
       "               '2019-01-11', '2019-01-14'],\n",
       "              dtype='datetime64[ns]', freq='B')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10일의 기간 출력\n",
    "pd.date_range('2019/01/01', periods=10, freq='B')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-01-01 00:00:00', '2019-01-01 12:30:00',\n",
       "               '2019-01-02 01:00:00', '2019-01-02 13:30:00',\n",
       "               '2019-01-03 02:00:00', '2019-01-03 14:30:00',\n",
       "               '2019-01-04 03:00:00', '2019-01-04 15:30:00',\n",
       "               '2019-01-05 04:00:00', '2019-01-05 16:30:00'],\n",
       "              dtype='datetime64[ns]', freq='750T')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 10일의 기간 출력\n",
    "pd.date_range('2019/01/01', periods=10, freq='12h30min', normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2019-01-01 00:00:00', '2019-02-03 18:40:00',\n",
       "               '2019-03-09 13:20:00', '2019-04-12 08:00:00',\n",
       "               '2019-05-16 02:40:00', '2019-06-18 21:20:00',\n",
       "               '2019-07-22 16:00:00', '2019-08-25 10:40:00',\n",
       "               '2019-09-28 05:20:00', '2019-11-01 00:00:00'],\n",
       "              dtype='datetime64[ns]', freq=None)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 기간 구간을 10개로 나누기\n",
    "pd.date_range('2019/01/01', '2019/11/01', periods=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['2019-10-10', '2019-10-11', '2019-10-12', '2019-10-13', '2019-10-14']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# String Format time data\n",
    "# 개별 객체에 datetime 메소드를 적용\n",
    "[_.strftime('%Y-%m-%d')  for _ in pd.date_range('2019/10/10', periods=5)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<br/>\n",
    "\n",
    "# **Decorator**\n",
    "슬기로운 파이썬 트릭 (2019 | 프로그래밍 인사이트)\n",
    "## **1 데코레이터의 힘**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already up-to-date: instabot in /home/momukji/Python/Python/lib/python3.6/site-packages (0.89.0)\n",
      "Requirement already satisfied, skipping upgrade: schedule>=0.6.0 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (0.6.0)\n",
      "Requirement already satisfied, skipping upgrade: huepy>=0.9.8.1 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (1.2.1)\n",
      "Requirement already satisfied, skipping upgrade: pysocks>=1.6.8 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (1.7.1)\n",
      "Requirement already satisfied, skipping upgrade: responses>=0.10.5 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (0.10.9)\n",
      "Requirement already satisfied, skipping upgrade: future>=0.17.1 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (0.18.2)\n",
      "Requirement already satisfied, skipping upgrade: pytz>=2019.1 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (2019.3)\n",
      "Requirement already satisfied, skipping upgrade: requests>=2.21.0 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (2.21.0)\n",
      "Requirement already satisfied, skipping upgrade: tqdm>=4.30.0 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (4.36.1)\n",
      "Requirement already satisfied, skipping upgrade: requests-toolbelt>=0.8.0 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (0.9.1)\n",
      "Requirement already satisfied, skipping upgrade: six>=1.12.0 in /home/momukji/Python/Python/lib/python3.6/site-packages (from instabot) (1.12.0)\n",
      "Requirement already satisfied, skipping upgrade: idna<2.9,>=2.5 in /home/momukji/Python/Python/lib/python3.6/site-packages (from requests>=2.21.0->instabot) (2.8)\n",
      "Requirement already satisfied, skipping upgrade: urllib3<1.25,>=1.21.1 in /home/momukji/Python/Python/lib/python3.6/site-packages (from requests>=2.21.0->instabot) (1.24.3)\n",
      "Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /home/momukji/Python/Python/lib/python3.6/site-packages (from requests>=2.21.0->instabot) (2019.9.11)\n",
      "Requirement already satisfied, skipping upgrade: chardet<3.1.0,>=3.0.2 in /home/momukji/Python/Python/lib/python3.6/site-packages (from requests>=2.21.0->instabot) (3.0.4)\n"
     ]
    }
   ],
   "source": [
    "! pip install -U instabot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-01-02 17:13:32,482 - INFO - Instabot Started\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "from instabot import Bot\n",
    "\n",
    "\n",
    "bot = Bot()\n",
    "bot.login(username=\"saltman21@naver.com\", password=\"inst8472\")\n",
    "# bot.login(username=\"YOUR_LOGIN\", password=\"YOUR_PASSWORD\")\n",
    "user_id = bot.get_user_id_from_username(\"erdoskim\")\n",
    "user_info = bot.get_user_info(user_id)\n",
    "print(user_info['biography'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "ename": "InstagramException",
     "evalue": "Response code is 400. Body: {\"message\": \"useragent mismatch\", \"status\": \"fail\"} Something went wrong. Please report issue., Code:400",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mInstagramException\u001b[0m                        Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-64-386d66eaf47f>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m#Getting an account by id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0maccount\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minstagram\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_account_by_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/Python/Python/lib/python3.6/site-packages/igramscraper/instagram.py\u001b[0m in \u001b[0;36mget_account_by_id\u001b[0;34m(self, id)\u001b[0m\n\u001b[1;32m    108\u001b[0m         \u001b[0;34m:\u001b[0m\u001b[0;32mreturn\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAccount\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m         \"\"\"\n\u001b[0;32m--> 110\u001b[0;31m         \u001b[0musername\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_username_by_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_account\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0musername\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Python/Python/lib/python3.6/site-packages/igramscraper/instagram.py\u001b[0m in \u001b[0;36mget_username_by_id\u001b[0;34m(self, id)\u001b[0m\n\u001b[1;32m    127\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mInstagram\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTP_OK\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m             raise InstagramException.default(response.text,\n\u001b[0;32m--> 129\u001b[0;31m                                              response.status_code)\n\u001b[0m\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m         \u001b[0mjson_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mInstagramException\u001b[0m: Response code is 400. Body: {\"message\": \"useragent mismatch\", \"status\": \"fail\"} Something went wrong. Please report issue., Code:400"
     ]
    }
   ],
   "source": [
    "from igramscraper.instagram import Instagram\n",
    "\n",
    "instagram = Instagram()\n",
    "\n",
    "# authentication supported\n",
    "instagram.with_credentials('erdoskim', 'inst8472')\n",
    "instagram.login()\n",
    "\n",
    "#Getting an account by id\n",
    "account = instagram.get_account_by_id(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "ename": "InstagramException",
     "evalue": "Response code is 400. Body: {\"message\": \"useragent mismatch\", \"status\": \"fail\"} Something went wrong. Please report issue., Code:400",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mInstagramException\u001b[0m                        Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-61-c38177b46960>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m#Getting an account by id\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m \u001b[0maccount\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minstagram\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_account_by_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     12\u001b[0m \u001b[0;31m# Available fields\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Python/Python/lib/python3.6/site-packages/igramscraper/instagram.py\u001b[0m in \u001b[0;36mget_account_by_id\u001b[0;34m(self, id)\u001b[0m\n\u001b[1;32m    108\u001b[0m         \u001b[0;34m:\u001b[0m\u001b[0;32mreturn\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAccount\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    109\u001b[0m         \"\"\"\n\u001b[0;32m--> 110\u001b[0;31m         \u001b[0musername\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_username_by_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    111\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_account\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0musername\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    112\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/Python/Python/lib/python3.6/site-packages/igramscraper/instagram.py\u001b[0m in \u001b[0;36mget_username_by_id\u001b[0;34m(self, id)\u001b[0m\n\u001b[1;32m    127\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mInstagram\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTP_OK\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m             raise InstagramException.default(response.text,\n\u001b[0;32m--> 129\u001b[0;31m                                              response.status_code)\n\u001b[0m\u001b[1;32m    130\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m         \u001b[0mjson_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mInstagramException\u001b[0m: Response code is 400. Body: {\"message\": \"useragent mismatch\", \"status\": \"fail\"} Something went wrong. Please report issue., Code:400"
     ]
    }
   ],
   "source": [
    "# Available fields\n",
    "print('Account info:')\n",
    "print('Id: ', account.identifier)\n",
    "print('Username: ', account.username)\n",
    "print('Full name: ', account.full_name)\n",
    "print('Biography: ', account.biography)\n",
    "print('Profile pic url: ', account.get_profile_pic_url_hd())\n",
    "print('External Url: ', account.external_url)\n",
    "print('Number of published posts: ', account.media_count)\n",
    "print('Number of followers: ', account.followed_by_count)\n",
    "print('Number of follows: ', account.follows_count)\n",
    "print('Is private: ', account.is_private)\n",
    "print('Is verified: ', account.is_verified)\n",
    "\n",
    "# or simply for printing use \n",
    "print(account)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = [1,2,3]\n",
    "b = [1,2,3]\n",
    "a is b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a == b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Once deleted, variables cannot be recovered. Proceed (y/[n])?  y\n"
     ]
    }
   ],
   "source": [
    "%reset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "def uppercase(func):\n",
    "    def wrapper(): \n",
    "        return func().upper()\n",
    "    return wrapper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "@uppercase\n",
    "def greet():\n",
    "    return 'hello boys!!'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "wrapper() takes 0 positional arguments but 1 was given",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-55-51c96caae186>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgreet\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'hello boys!'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: wrapper() takes 0 positional arguments but 1 was given"
     ]
    }
   ],
   "source": [
    "greet('hello boys!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "def decor1(func):\n",
    "    def wrap():\n",
    "        print(\"$$$$$$$$$$$$$$\")\n",
    "        func()\n",
    "        print(\"$$$$$$$$$$$$$$\")\n",
    "        return func.upper()\n",
    "    return wrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "$$$$$$$$$$$$$$\n",
      "Hello\n",
      "$$$$$$$$$$$$$$\n"
     ]
    },
    {
     "ename": "AttributeError",
     "evalue": "'function' object has no attribute 'upper'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-51-d038986f5dac>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0msayhello\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Hello\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0msayhello\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m<ipython-input-50-075fc5d856e2>\u001b[0m in \u001b[0;36mwrap\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m         \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"$$$$$$$$$$$$$$\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mwrap\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'function' object has no attribute 'upper'"
     ]
    }
   ],
   "source": [
    "@decor1\n",
    "def sayhello():\n",
    "    print(\"Hello\")\n",
    "sayhello()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "    >>> def decor2(func):\n",
    "            def wrap():\n",
    "                   print(\"##############\")\n",
    "                   func()\n",
    "                   print(\"##############\")\n",
    "            return wrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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