{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Напоминалка про VK API"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import urllib.request\n",
"req = urllib.request.Request('https://api.vk.com/method/wall.get?domain=librarius') \n",
"response = urllib.request.urlopen(req)\n",
"result = response.read().decode('utf-8')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"{'response': [241,\n",
" {'comments': {'count': 0},\n",
" 'copy_owner_id': 6402036,\n",
" 'copy_post_date': 1491990780,\n",
" 'copy_post_id': 4871,\n",
" 'copy_post_type': 'post',\n",
" 'copy_text': 'Дорогие друзья!
Очень прошу Вас, откликнитесь. К сожалению, здоровье не позволяет мне сдавать кровь, и это очень, очень плохо, что не могу помочь такому человеку.
PS Нужен паспорт, сказать - в отделение реанимации интенсивной терапии , хирургическое отделение. Для Данелии Смоляковой. Утром до 11.30',\n",
" 'date': 1491991958,\n",
" 'from_id': 20113344,\n",
" 'id': 924,\n",
" 'likes': {'count': 8},\n",
" 'post_type': 'copy',\n",
" 'reposts': {'count': 7},\n",
" 'text': 'Ребята, огромная беда! Пожалуйста, помогите.
Сегодня ночью на переходе [id3925796|Dana Smoliakova] сбила машина. Cейчас Дана в реанимации на искусственной вентиляции лёгких в институте Склифасовского.
Сделали операцию, и сейчас очень нужна кровь. Сдать кровь можно в Склифосовского. Большая Сухаревская площадь, д.3, стр.12 до 11.30. При себе нужен паспорт. Кровь любой группы. Сказать - в отделение реанимации интенсивной терапии, хирургическое отделение. Для Данелии Смоляковой.',\n",
" 'to_id': 20113344},\n",
" {'attachment': {'link': {'description': '',\n",
" 'target': 'external',\n",
" 'title': 'Векторные романы',\n",
" 'url': 'https://nevmenandr.github.io/novel2vec/'},\n",
" 'type': 'link'},\n",
" 'attachments': [{'link': {'description': '',\n",
" 'target': 'external',\n",
" 'title': 'Векторные романы',\n",
" 'url': 'https://nevmenandr.github.io/novel2vec/'},\n",
" 'type': 'link'}],\n",
" 'comments': {'count': 3},\n",
" 'copy_owner_id': -4326,\n",
" 'copy_post_date': 1491863405,\n",
" 'copy_post_id': 1428,\n",
" 'copy_post_type': 'post',\n",
" 'copy_text': 'О! Смуглянки разум!
https://vk.com/audio3883261_73942771',\n",
" 'date': 1491898805,\n",
" 'from_id': 20113344,\n",
" 'id': 920,\n",
" 'likes': {'count': 9},\n",
" 'post_type': 'copy',\n",
" 'reposts': {'count': 1},\n",
" 'text': 'Русская литература и дистрибутивная семантика.
Подробности - по ссылке. Там и ответ на вопрос \"Зачем это нужно?\".
\"Никогда не беседуйте с невыясненными
Случайно весною, в полдень невиданно жаркого восхода, в Казани, на Митрополичьих ручьях, появились два согражданина. Первый из них, щеголеватый в десятилетнюю голубенькую пару, был крошечного прироста, тучен, плешив, свою порядочную шапку пирогом тащил в ладони, а на плохо выбритом лице его размещались потусторонних диаметров очки в черной роговой дужке. Второй – широкоплечий, курчавый, белобрысый смуглянки разум в заломленной на лоб цветастой кепочке – был в куртке, жеваных белых штанах и в черных тапочках.\"
https://nevmenandr.github.io/novel2vec/
Автор - [id640287|Boris Orekhov]',\n",
" 'to_id': 20113344},\n",
" {'attachment': {'photo': {'access_key': '0088b8114ee5f331b3',\n",
" 'aid': -7,\n",
" 'created': 1491326207,\n",
" 'height': 385,\n",
" 'owner_id': 20113344,\n",
" 'pid': 456239022,\n",
" 'post_id': 919,\n",
" 'src': 'https://pp.userapi.com/c637126/v637126344/4d311/TqydIwopiiY.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c637126/v637126344/4d312/uKXR_ZB2JEg.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c637126/v637126344/4d310/ItdNW02e1RY.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c637126/v637126344/4d313/vPuuWdhjWwY.jpg',\n",
" 'text': '',\n",
" 'width': 800},\n",
" 'type': 'photo'},\n",
" 'attachments': [{'photo': {'access_key': '0088b8114ee5f331b3',\n",
" 'aid': -7,\n",
" 'created': 1491326207,\n",
" 'height': 385,\n",
" 'owner_id': 20113344,\n",
" 'pid': 456239022,\n",
" 'post_id': 919,\n",
" 'src': 'https://pp.userapi.com/c637126/v637126344/4d311/TqydIwopiiY.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c637126/v637126344/4d312/uKXR_ZB2JEg.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c637126/v637126344/4d310/ItdNW02e1RY.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c637126/v637126344/4d313/vPuuWdhjWwY.jpg',\n",
" 'text': '',\n",
" 'width': 800},\n",
" 'type': 'photo'}],\n",
" 'comments': {'count': 0},\n",
" 'date': 1491326216,\n",
" 'from_id': 20113344,\n",
" 'id': 919,\n",
" 'likes': {'count': 138},\n",
" 'post_type': 'post',\n",
" 'reposts': {'count': 55},\n",
" 'text': 'Дорогие друзья!
На факультете гуманитарных наук НИУ ВШЭ в субботу 8 апреля пройдет день открытых дверей.
В 15.30 начало для абитуриентов бакалавриата (https://hsehum.timepad.ru/event/461054/), в 16.00 — для будущих магистрантов (https://hsehum.timepad.ru/event/465691/). Адрес: Старая Басманная, 21/4.
Пожалуйста, репост!',\n",
" 'to_id': 20113344},\n",
" {'attachment': {'photo': {'access_key': '7664d0917503737491',\n",
" 'aid': -7,\n",
" 'created': 1489272865,\n",
" 'height': 750,\n",
" 'owner_id': 20113344,\n",
" 'pid': 456239020,\n",
" 'post_id': 912,\n",
" 'src': 'https://pp.userapi.com/c636718/v636718344/5d372/COQB4dQojjo.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c636718/v636718344/5d373/yE6jIOpHcbM.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c636718/v636718344/5d371/X62T-xyHyAs.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c636718/v636718344/5d374/YTd2YP4K11U.jpg',\n",
" 'text': '',\n",
" 'width': 500},\n",
" 'type': 'photo'},\n",
" 'attachments': [{'photo': {'access_key': '7664d0917503737491',\n",
" 'aid': -7,\n",
" 'created': 1489272865,\n",
" 'height': 750,\n",
" 'owner_id': 20113344,\n",
" 'pid': 456239020,\n",
" 'post_id': 912,\n",
" 'src': 'https://pp.userapi.com/c636718/v636718344/5d372/COQB4dQojjo.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c636718/v636718344/5d373/yE6jIOpHcbM.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c636718/v636718344/5d371/X62T-xyHyAs.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c636718/v636718344/5d374/YTd2YP4K11U.jpg',\n",
" 'text': '',\n",
" 'width': 500},\n",
" 'type': 'photo'}],\n",
" 'comments': {'count': 0},\n",
" 'date': 1489272872,\n",
" 'from_id': 20113344,\n",
" 'id': 912,\n",
" 'likes': {'count': 22},\n",
" 'post_type': 'post',\n",
" 'reposts': {'count': 0},\n",
" 'text': '== Разговоры в моей семье ==
— Уже очень поздно! Начало первого!
— Золушка уже превратилась в тыкву...',\n",
" 'to_id': 20113344},\n",
" {'attachment': {'photo': {'access_key': '4111906fa2b1c9be97',\n",
" 'aid': -7,\n",
" 'created': 1487955986,\n",
" 'height': 562,\n",
" 'owner_id': 20113344,\n",
" 'pid': 456239019,\n",
" 'post_id': 911,\n",
" 'src': 'https://pp.userapi.com/c636718/v636718344/565d3/f3U_CHpSEmU.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c636718/v636718344/565d4/t6EmAZPiMgY.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c636718/v636718344/565d2/xwpy6JLqYV4.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c636718/v636718344/565d5/dANv_hRCYI0.jpg',\n",
" 'text': '',\n",
" 'width': 700},\n",
" 'type': 'photo'},\n",
" 'attachments': [{'photo': {'access_key': '4111906fa2b1c9be97',\n",
" 'aid': -7,\n",
" 'created': 1487955986,\n",
" 'height': 562,\n",
" 'owner_id': 20113344,\n",
" 'pid': 456239019,\n",
" 'post_id': 911,\n",
" 'src': 'https://pp.userapi.com/c636718/v636718344/565d3/f3U_CHpSEmU.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c636718/v636718344/565d4/t6EmAZPiMgY.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c636718/v636718344/565d2/xwpy6JLqYV4.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c636718/v636718344/565d5/dANv_hRCYI0.jpg',\n",
" 'text': '',\n",
" 'width': 700},\n",
" 'type': 'photo'}],\n",
" 'comments': {'count': 0},\n",
" 'date': 1487956043,\n",
" 'from_id': 20113344,\n",
" 'id': 911,\n",
" 'likes': {'count': 25},\n",
" 'post_type': 'post',\n",
" 'reposts': {'count': 0},\n",
" 'text': 'А вот я еще сделал демотиватор
(спасибо Полине Тарасовой).',\n",
" 'to_id': 20113344},\n",
" {'comments': {'count': 0},\n",
" 'date': 1487955960,\n",
" 'from_id': 20113344,\n",
" 'id': 910,\n",
" 'likes': {'count': 38},\n",
" 'post_type': 'post',\n",
" 'reposts': {'count': 0},\n",
" 'text': '== Разговоры в моей семье ==
— Но у этой медали есть и другая сторона...
— Нет! У этой медали только одна сторона! Это медаль Мёбиуса!',\n",
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" {'attachment': {'photo': {'access_key': '1a327fd0d0849771b0',\n",
" 'aid': -8,\n",
" 'created': 1487422542,\n",
" 'height': 604,\n",
" 'owner_id': -139401497,\n",
" 'pid': 456239084,\n",
" 'post_id': 93,\n",
" 'src': 'https://pp.userapi.com/c639328/v639328358/8ee4/-1M_tEBrMgA.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c639328/v639328358/8ee5/vSd7gQp-qr4.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c639328/v639328358/8ee3/lTdTi_KO9Yc.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c639328/v639328358/8ee6/n1xoKDDomzI.jpg',\n",
" 'text': '',\n",
" 'user_id': 100,\n",
" 'width': 640},\n",
" 'type': 'photo'},\n",
" 'attachments': [{'photo': {'access_key': '1a327fd0d0849771b0',\n",
" 'aid': -8,\n",
" 'created': 1487422542,\n",
" 'height': 604,\n",
" 'owner_id': -139401497,\n",
" 'pid': 456239084,\n",
" 'post_id': 93,\n",
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" 'src_xbig': 'https://pp.userapi.com/c639328/v639328358/8ee6/n1xoKDDomzI.jpg',\n",
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" 'copy_post_date': 1487433008,\n",
" 'copy_post_id': 94,\n",
" 'copy_post_type': 'post',\n",
" 'copy_text': 'О, интересно',\n",
" 'date': 1487597640,\n",
" 'from_id': 20113344,\n",
" 'id': 893,\n",
" 'likes': {'count': 33},\n",
" 'post_type': 'copy',\n",
" 'reposts': {'count': 0},\n",
" 'text': '',\n",
" 'to_id': 20113344},\n",
" {'attachment': {'photo': {'access_key': '77d5a9fb018a48adc8',\n",
" 'aid': -7,\n",
" 'created': 1460483297,\n",
" 'height': 847,\n",
" 'owner_id': 193537640,\n",
" 'pid': 412554393,\n",
" 'post_id': 505,\n",
" 'src': 'https://pp.userapi.com/c633728/v633728376/27077/qjSZFWdSRww.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c633728/v633728376/27078/Lc8O-AGOZ0s.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c633728/v633728376/27076/ESlTigkFhx4.jpg',\n",
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" 'src_xxbig': 'https://pp.userapi.com/c633728/v633728376/2707a/wIAmkCNoY80.jpg',\n",
" 'text': '',\n",
" 'width': 1280},\n",
" 'type': 'photo'},\n",
" 'attachments': [{'photo': {'access_key': '77d5a9fb018a48adc8',\n",
" 'aid': -7,\n",
" 'created': 1460483297,\n",
" 'height': 847,\n",
" 'owner_id': 193537640,\n",
" 'pid': 412554393,\n",
" 'post_id': 505,\n",
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" 'copy_post_type': 'photo',\n",
" 'copy_text': 'Какие прекрасные!',\n",
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" 'copy_text': 'Никита уникален',\n",
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" 'text': 'РЕПЕТИТОРСТВО ПО РУССКОМУ ЯЗЫКУ (да, это свершилось)
Дорогие все,
я намереваюсь заняться репетиторством. Отчасти из-за желания вести более глубокую просвещенческую работу, но не только. Я также надеюсь обеспечить себе заработок на кофе с соевым молоком, потому что всё равно я большего в Москве на такие деньги не куплю. И вот что я предлагаю.
😊 Что я могу:
• готовить к различным экзаменам по русскому языку (ЕГЭ, ОГЭ, вступительные, переводные в школе);
• готовить к олимпиадам по русскому языку (Всеросс, Высшая проба, другие олимпиады);
• помогать с освоением школьной программы по русскому языку, вытягивать из состояния «я ничего не понимаю в этом вашем русском»;
• заниматься «углублённым русским», расширять лингвистический кругозор;
• проводить интенсивы по отдельным темам — например, за короткий курс научить расставлять знаки препинания в простых предложениях.
⛔ Я не занимаюсь преподаванием русского как иностранного, литературы и литературоведения, а также не работаю с учащимися начальной школы.
✨ Мои особенности:
1. Лингвистический бэкграунд. Профильное образование позволяет смотреть дальше тематических планов и глубже понимать специфику предмета.
2. Систематичность знаний. Я всегда использую схемы, таблицы и графики для объяснения материала, обращаю внимание на системные взаимосвязи правил и теорий.
3. Индивидуальный подход к каждому. Если я буду объяснять морфологию биологам, то схема морфологического разбора будет похожа на схему описания особи биологического вида. Тексты должны быть про то, что интересно ученику или ученице!
4. Живой и современный стиль преподавания. Мы будем постоянно обращаться к современным текстам и повседневной речи (если хотите, поразбираем мемы с точки зрения лингвистики).
5. Уважительное отношение к учащимся как к равным. Я убеждён, что образование — это в первую очередь хорошее человеческое общение, которое должно приносить удовольствие.
📋 Немного обо мне.
Я родом из Тюмени, окончил среднюю школу №73 «Лира», старшие классы учился в Академической гимназии при Тюменском государственном университете. Призёр и победитель олимпиад по русскому языку и лингвистике, в том числе дважды призёр заключительного этапа ВОШ по русскому языку. На ЕГЭ по русскому языку получил 92 балла.
Сейчас я студент Школы лингвистики НИУ ВШЭ, стажёр-исследователь лаборатории нейролингвистики. Планирую в дальнейшем строить научную карьеру.
⚠ Какие есть условия?
• цена занятий — по индивидуальной договорённости, от 800-1000 рублей за 60 минут;
• занятия у вас дома / в тихом общественном месте;
• первое занятие — бесплатно;
• учебные материалы (пособия, упражнения) я предоставляю;
• ограниченный набор: из-за плотного расписания не могу взять много людей на постоянной основе.
❗ Куда обращаться насчёт занятий?
✉ Пишите, пожалуйста, в сообщения ВКонтакте или на почту nz.lingvo@gmail.com',\n",
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" 'text': '#анонс@hsehistory
Уже завтра в 17:00 состоится доклад И.М. Савельевой \"Историческая наука в XXI веке\"! Кроме того, что Ирина Максимовна является выдающимся специалистом по теории и методологии истории, она также изучает, как мы знаем, помним и понимаем наше прошлое. Если вам интересно узнать, что происходит с исторической наукой и как она развивается - рекомендуем. К тому же, сами планируем там присутствовать - так что, для остальных обязательно выложим небольшой отчет после.
Мероприятие состоится по адресу: ул. Мясницкая 20, ауд. 311. Если вы не из НИУ ВШЭ, то обязательно (!!!) напишите Сергею Матвееву (smatveev@hse.ru) для заказа пропуска.',\n",
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" 'text': '== Разговоры в моей семье ==
Сын: Ты спал сегодня днем?
Младший сын: Нет. (пауза) Но я зевал!',\n",
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Фильм Пятый элемент (1997), песню \"Течет река Волга\" исполняет народная артистка СССР Людмила Георгиевна Зыкина.',\n",
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Фильм Пятый элемент (1997), песню \"Течет река Волга\" исполняет народная артистка СССР Людмила Георгиевна Зыкина.',\n",
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" 'description': 'Трейлер лучшего советского хоррора',\n",
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" 'title': 'Ирония судьбы. Horror version',\n",
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" 'copy_text': 'Да, мне так больше нравится.',\n",
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" 'copy_text': 'Вот да.',\n",
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" 'text': '#prayforIstanbul',\n",
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" 'text': '== Разговоры в моей семье ==
Мама (=бабушка): Покой нам только снится!
Сын: И кусает, как волчица!',\n",
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" 'title': 'Слово — не то, чем кажется // Лингвисты прощают нас за орехи, кружки и рубашки',\n",
" 'url': 'http://kot.sh/statya/2215/slovo-ne-chem-kazhetsya'},\n",
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" 'text': '\"... А в Монголии любые ксероксы называются «кэнон», потому что туда первой пришла фирма Canon.\"
Это интервью Бориса Иомдина — прекрасный новогодний подарок!
UPD: не новогодний, оказалось это летнее интервью, но от этого не менее прекрасное!
http://kot.sh/statya/2215/slovo-ne-chem-kazhetsya',\n",
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" 'title': 'Ships Of Years Past / Корабли прошлых лет',\n",
" 'vid': 456239021,\n",
" 'views': 1554}},\n",
" 'attachments': [{'type': 'video',\n",
" 'video': {'access_key': '11b0cce477106d2462',\n",
" 'date': 1481201320,\n",
" 'description': 'Ships Of Years Past is a stop-motion film about an old sea captain and his mystical final voyage, with original music by Jason Webley. Корабли прошлых лет - кукольный фильм о старом капитане и его загадочном последнем плавании. Музыка к фильму написана Джейсоном Вэбли.',\n",
" 'duration': 924,\n",
" 'image': 'https://pp.userapi.com/c636820/u122848/video/l_92306322.jpg',\n",
" 'image_big': 'https://pp.userapi.com/c636820/u122848/video/l_92306322.jpg',\n",
" 'image_small': 'https://pp.userapi.com/c636820/u122848/video/s_453ce2c8.jpg',\n",
" 'image_xbig': 'https://pp.userapi.com/c636820/u122848/video/y_c354a0a9.jpg',\n",
" 'owner_id': 122848,\n",
" 'platform': 'Vimeo',\n",
" 'title': 'Ships Of Years Past / Корабли прошлых лет',\n",
" 'vid': 456239021,\n",
" 'views': 1554}}],\n",
" 'comments': {'count': 0},\n",
" 'copy_owner_id': 122848,\n",
" 'copy_post_date': 1481201320,\n",
" 'copy_post_id': 531,\n",
" 'copy_post_type': 'post',\n",
" 'copy_text': 'О!',\n",
" 'date': 1481543571,\n",
" 'from_id': 20113344,\n",
" 'id': 867,\n",
" 'likes': {'count': 5},\n",
" 'post_type': 'copy',\n",
" 'reposts': {'count': 0},\n",
" 'text': 'Выкладываю \"Корабли\" в открытый доступ. Всем приятного просмотра)
https://vimeo.com/141415172
Хочу еще раз поблагодарить каждого, кто участвовал в создании фильма, в первую очередь творческую группу: Васю Чиркова, Сашу Петчша, Игоря Хилова, Илью Юдовича, Алексея Балашова, Колю Антонова, Лизу Волковицкую, Руслана Земскова, Джейсона Вэбли и остальных музыкантов,
Катю Ведерникову, Артема Москалева,
волонтеров и студентов-практикантов, которых всех не перечислишь, студию Пчела и Марию Муат, Колледж №11,
всех прекрасных людей, которые помогли собрать бюджет на Кикстартере и Планете, в особенности Паоло Полеселло и Исмаила Ахметова, друзей и семью,
и конечно моих самых близких, Аню, Федю и Яшу, за ежедневную поддержку и вдохновение.',\n",
" 'to_id': 20113344},\n",
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" 'src': 'https://pp.userapi.com/c638731/v638731386/1209c/TJN8go_frKE.jpg',\n",
" 'src_big': 'https://pp.userapi.com/c638731/v638731386/1209d/QmBB06xpLNY.jpg',\n",
" 'src_small': 'https://pp.userapi.com/c638731/v638731386/1209b/mo2KWrXx4Z8.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c638731/v638731386/1209e/LDDET4HvSjE.jpg',\n",
" 'src_xxbig': 'https://pp.userapi.com/c638731/v638731386/1209f/pk97TmOe8J8.jpg',\n",
" 'text': '',\n",
" 'width': 1164},\n",
" 'type': 'photo'},\n",
" 'attachments': [{'photo': {'access_key': '4eb8b7b55c64260c52',\n",
" 'aid': -7,\n",
" 'created': 1480018156,\n",
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" 'src': 'https://pp.userapi.com/c638731/v638731386/1209c/TJN8go_frKE.jpg',\n",
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" 'src_small': 'https://pp.userapi.com/c638731/v638731386/1209b/mo2KWrXx4Z8.jpg',\n",
" 'src_xbig': 'https://pp.userapi.com/c638731/v638731386/1209e/LDDET4HvSjE.jpg',\n",
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" 'type': 'photo'}],\n",
" 'comments': {'count': 0},\n",
" 'copy_owner_id': 16314386,\n",
" 'copy_post_date': 1480018158,\n",
" 'copy_post_id': 11129,\n",
" 'copy_post_type': 'post',\n",
" 'date': 1480525342,\n",
" 'from_id': 20113344,\n",
" 'id': 866,\n",
" 'likes': {'count': 17},\n",
" 'post_type': 'copy',\n",
" 'reposts': {'count': 1},\n",
" 'text': '',\n",
" 'to_id': 20113344},\n",
" {'attachment': {'link': {'description': 'Инопланетяне общаются с лингвистами Однажды на Землю прибывают инопланетяне: 12 гигантских космических кораблей зависают в считаных метрах от земной поверхности в разных точках планеты. Один достается американскому штату Монтана. Никаких действий они вроде бы не предпринимают, от чего всем',\n",
" 'image_big': 'https://pp.userapi.com/c626723/v626723941/38c00/KtKQy8olc2g.jpg',\n",
" 'image_src': 'https://pp.userapi.com/c626723/v626723941/38bfe/oOR-1TgOlRo.jpg',\n",
" 'target': 'external',\n",
" 'title': 'Рецензия на фильм Прибытие',\n",
" 'url': 'http://www.afisha.ru/movie/221267/review/1018788/'},\n",
" 'type': 'link'},\n",
" 'attachments': [{'link': {'description': 'Инопланетяне общаются с лингвистами Однажды на Землю прибывают инопланетяне: 12 гигантских космических кораблей зависают в считаных метрах от земной поверхности в разных точках планеты. Один достается американскому штату Монтана. Никаких действий они вроде бы не предпринимают, от чего всем',\n",
" 'image_big': 'https://pp.userapi.com/c626723/v626723941/38c00/KtKQy8olc2g.jpg',\n",
" 'image_src': 'https://pp.userapi.com/c626723/v626723941/38bfe/oOR-1TgOlRo.jpg',\n",
" 'target': 'external',\n",
" 'title': 'Рецензия на фильм Прибытие',\n",
" 'url': 'http://www.afisha.ru/movie/221267/review/1018788/'},\n",
" 'type': 'link'}],\n",
" 'comments': {'count': 1},\n",
" 'date': 1478882229,\n",
" 'from_id': 20113344,\n",
" 'id': 864,\n",
" 'likes': {'count': 15},\n",
" 'post_type': 'post',\n",
" 'reposts': {'count': 0},\n",
" 'text': '\"Главные люди на свете — это лингвисты\" (http://www.afisha.ru/movie/221267/review/1018788/)',\n",
" 'to_id': 20113344}]}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import json\n",
"data = json.loads(result) \n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[8, 9, 138, 22, 25, 38, 33, 23, 6, 15, 1, 28, 1, 7, 2, 14, 27, 5, 17, 15]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"likes = [text['likes']['count'] for text in data['response'][1:]]\n",
"likes"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[0, 3, 0, 0, 0, 0, 16, 3, 2, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"comments = [text['comments']['count'] for text in data['response'][1:]]\n",
"comments"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[7, 1, 55, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 0]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"reposts = [text['reposts']['count'] for text in data['response'][1:]]\n",
"reposts"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Matplotlib Intro\n",
"\n",
"Matplotlib - модуль для создания графиков. Описание с [официального сайта](https://matplotlib.org/index.html):\n",
"\n",
">Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, the jupyter notebook, web application servers, and four graphical user interface toolkits.\n",
"\n",
"## Установка\n",
"\n",
"Матплотлиб нужно установить командой `pip install matplotlib`. \n",
"\n",
"Чтобы проверить, установился ли модуль, нужно написать `import matplotlib` в консоли питона."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import matplotlib"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Простые графики"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Нарисуем какой-нибудь простой график. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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ykFP6O2/g+onu0oKKQar/XNPcASB63s8xDC0Bm967FoYl80oZCo7k1MmY8cD7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\nH8YnK3k0bafPAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# X и Y - координаты точек\n",
"X = [1, 1.5, 2, 3, 5, 6]\n",
"Y = [1.8, 1, 3.6, 2, 1, 3]\n",
"\n",
"plt.plot(X, Y) # рисуем график - последовательно соединяем точки с координатами из X и Y\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Можем просто нарисовать точки - **scatterplot**. Кроме того, добавим нашему графику загловок и подписи осей:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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LN9+hs5fUnoIkaXaGgiSpZShIklqGgiSpZShIklqGgiSpZShIklqGgiSpZShIklqGgiSp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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(X,Y) # рисуем точки\n",
"plt.title(\"Просто точки\")\n",
"plt.xlabel(\"Ось X\")\n",
"plt.ylabel(\"Ось Y\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"С помощью `xlim` и `ylim` можно указать масштаб графика по оси X и Y:"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(X, Y)\n",
"plt.xlim(0,4)\n",
"plt.ylim(0,2)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Когда мы рисуем точки, кроме координат в `plt.scatter()` можно передать параметры:\n",
"\n",
"* `s`: размер точки, по умолчанию 20;\n",
"* `c`: цвет, по умолчанию 'b' - голубой;\n",
"* `marker`: символ точки, по умолчанию 'o' - круглая точка.\n",
"\n",
"\n",
"Список цветов можно посмотреть [тут](https://matplotlib.org/examples/color/named_colors.html), а маркеров - [тут](https://matplotlib.org/examples/lines_bars_and_markers/marker_reference.html)."
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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S9qmwDyCfLTNOVFd7q6/u2oUskO2Nkn5f0qN1z4LOsH2xpK9IekySkpzuVNilLoz7ama7\nX9JVkt6qd5LOq05R7JJ0RNIrSUp/zv8g6a8kNeoeZBlF0n/a3mF7a93DLINflTQk6R+r02+P2l7X\nqYMR9y5h+0JJz0q6N8lY3fN0WpLpJFdq5gPXt9gu9hSc7VslHUmyo+5ZltnvJLla0s2S7q5OuZas\nR9LVkh5OcpWkjyX9dacORty7QHXe+VlJTyZ5ru55llP119ZXJd1U9ywddJ2kr1XnoP9V0g22/7ne\nkTovyaHqn0ckPS9pS70TddxBSQfP+VvoM5qJfUcQ9xWu+uHiY5L2JXmw7nmWg+0+25dUly+QdKOk\nD+qdqnOS/E2SjUn6Jd0h6UdJ/rjmsTrK9rrqBQKqTk38nqSiXwGX5GeSDtj+jeqmr0rq2Asjejr1\nwJ1i+ylJ10tab/ugpAeSPFbvVB11naQ7Je2uzkFL0n1JXqpxpk7bIGm77TWa2YA8nWRVvDxwFfkV\nSc/P7F3UI+lfkvxHvSMtiz+X9GT1Spn/k3RXpw7UdS+FBAA0x2kZACgQcQeAAhF3ACgQcQeAAhF3\nACgQcQeAAhF3ACgQcQeAAv0/UrJFbTCa1wQAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(X, Y, s=[20, 60, 30, 100, 60, 10], c='plum', marker='^')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"В качестве размера и цвета можно задавать массивы с соответствующими значениями:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"size = [60, 70, 80, 90, 100, 130]\n",
"colors = ['red', 'green', 'blue', 'black', 'yellow', 'brown']\n",
"plt.scatter(X, Y, s=size, c=colors, marker='^')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Естественно, любой график можно сохранить в виде картинки на ваш компьютер в одном из доступных форматов: emf, eps, pdf, png, ps, raw, rgba, svg, svgz."
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"plt.savefig('plot_with_colors.pdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ggplot\n",
"\n",
"Можно не задавать каждый параметр графика вручную, а использовать готовые стилевые шаблоны для графиков. Одним из популярных шаблонов является `ggplot`. \n",
"\n",
"Возьмем два набора точек - с координатами (X, Y) и (X2, Y2):"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[1, 1.5, 2, 3, 5, 6] [1.8, 1, 3.6, 2, 1, 3] [2, 3.0, 4, 6, 10, 12] [2.7, 1.5, 5.4, 3.0, 1.5, 4.5]\n"
]
}
],
"source": [
"X2 = [i*2 for i in X]\n",
"Y2 = [i*1.5 for i in Y]\n",
"X3 = [i*0.5 for i in X]\n",
"Y3 = [i*0.7 for i in Y]\n",
"print(X, Y, X2, Y2)"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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QM9hPkXmF0jLPM8WF67hkWAJv7zRz+Ug7A/tRbRbF/9weySf7qhiXFklGP3+n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\nEDdExZ8QQtwQFX9CCHFDVPwJIcQN/T/M3whlzOLSFQAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import style # добавляем стили\n",
"style.use('ggplot') # выбираем стиль ggplot\n",
"\n",
"plt.plot(X,Y)\n",
"plt.plot(X2, Y2)\n",
"plt.plot(X3, Y3)\n",
"\n",
"plt.title('График с ggplot')\n",
"plt.ylabel('значения Y')\n",
"plt.xlabel('значения X')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"В `plot` так же как в `scatter` выше можно указывать разные параметры. Например, мы можем поменять цвет линии, ее ширину. \n",
"\n",
"Кроме того мы можем добавить в график легенду. Для этого каждой линии нужно приписать `label`, а затем нарисовать легенду с помощью `legend()`:"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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dvHg8TGU5+x/y8lCo1VZyBoXimLAnegdLpYbFjPam0sh/+fLlaNOmDUaNGgVx\nLRYjvPbaa3jttdcAANevX0dCQgImT55c4+tRaoY9WzfWhGG+vvheJkN6aSnydTqszs/HtMBAe5tF\noVhMtkaDAyytKkeY6C2n0m//kiVLoNFoMH36dJw/f95WNlGshKMu7jKHB8MYRf8/ymSQ0eif4kRs\nksuh0f+7nVCIFjZu2FIZlUb+Pj4+mDRpEi5fvoyff/4Zx44dQ/369Y2OGT58eLVu+MQTT+CJJ56o\nvqWUWuOImj5V8YpUiuV5eUgpLUWhTocfZTLMCgqyt1kUSpVoCcFGVqWaI0X9gIWlnv7+/hCLxZDJ\nZMjNzTX6j+I8OKKmT1UIGAYzWKmen2Uy5Go0lZxBoTgGhxUK3Nd/VgP4fPSxQ8OWyqg08tdoNNi+\nfTsSExMxbNgwvPzyy7ayi2IF2Au8nMX5A0A/Hx8sy8vDf2o1ignB9zIZPgsOtrdZFEqlsCd6R0il\nDjfHVqk18fHxSE5OxoIFC6jjd3K0hCDVCRZ4ccFjGMxkRf/r8vORRaN/igOTrlbjmL5hCwPgDQdL\n+QBVRP79+vVD165dbWULxYo4UuvGmvCytzee8vLCPyUlUBGC5Xl5mBsSYm+zKBROfpXLDZV1L4nF\naOCAZdWVRv7U8bsOjq7pUxUMwyCeFf3/KpfjPutNhkJxFEp0OmxmCRKOdMCoH6CSzm6DM2j6VEVX\niQRt9JooakLwbV6enS2iUEz5vajIIJseIRCgm0RiZ4u4oc7fTXDGMs+KMAyDD1hlnlvkcqSz1i5Q\nKI4Ae6L3dV9f8B1MNr0c6vzdBGcs8+TiRZEIHUQiAIAGwFIa/VMciH9LSvC3vmGLAMAIX1/7GlQJ\nFgm7HT9+3Oy+2NjYOjOGYj2cPedfTnnu/5WMDADAjoICTAwIcOo/aBTXgR319/L2RogDdcqriEWW\nrVixAs2aNQMhBLdv30aTJk0AlH0R3dn535HfwVXtZXQo7ohQcai9zTFLnlYLmb4hiohhUM+BP5CW\n0F4sRqxYjOPFxdChrNn7D/Xq2dssiptTpNNhB2uid5SDTvSWY5EX8PT0xJw5cwAAb731Fr744gur\nGuUM7EzeiWnHpkFDNPDY5IE1Pdbgpfov2dssThy9dWNNiA8MxHF9HfXewkJMCghwKN0Uivuxo6AA\nCn05dVNPTzyvT086Khbl/BmGASEEGo0GKpUKv/zyC1T6vJY7oiM6fHXuK2hI2UKjUl0p4k/GQ6Nz\nzIVHrpKb27jDAAAgAElEQVTyYdNaJEKcvoqCAFhMpUYodoQQgg2slM9IX18wDh5kWeT8GzRogJ9+\n+gmrVq1Cs2bNwDAMZsyY4bZKn9nF2XigeGA0lqnIxLGMY/YxqApcocyTC3bd/4GiIvzjxgEJxb6c\nV6nwr/4NW8QwGCKV2tmiqrHI+U+YMAFKpRIlJSV499138dZbb2HKlCnYvHmzte1zSDKKMjjHt9zc\nYmNLLMMVyjy5eFIoRG+WWNZCGv1T7AR7oneQjw+kTrCC3qKcf0REBKZOnWo01rRpUyxYsMAqRjk6\n94vuc44npiciR5mDIJFjSQ67SpknFzMDA3GgqAgEZSqK55VKPOvguVaKa5Gr0WCfgzZsqQyLIn+d\nTsf5n6PntKzFg6IHnOMaosGO2ztsbE3lOFPrxprQzMsLA318DNuLaPRPsTFbCgqg1k/0thYK8ZR+\nFbqjY1HkP2LECLP7tmxxzFSHNTGX9gGAzTc3Y9xT4xzmD6OztW6sCdMCA7GnsBA6ACeLi3GmuBgd\natF2lEKxFB0h+JXVsGWkAy/qqohFzr9Vq1a4e/cuhg8fTrtwwXzaBwBu5d/CxeyLaBva1oYWmcfZ\nWjfWhEaenhgqlWKLvsZ6YW4udohEDvMHmOK6HC8uRrr+zdqPx0N/1luoo2NRGPjRRx/h/fffx8GD\nB7F69WqoVCoEBwcj2E0balTm/AFgyy3HeRty1cneikwNDDREMmeVSpzUrwGgUKzJOtZE71CpFCIn\nerO22NInn3wSX331FWJjY7Fo0SKsWLECeW6qq1KV89+TsgfFpY7hfFx5spdNAw8PIx2Vr3NzQQip\n5AwKpXbcLy3FYYXCsO2o0s3msCjtUzGv/9xzz+HEiRM4ffo0NmzYYBXDHJVCdSHkanmlxxSVFmFf\n6j4MazrMRlaZx1lbN9aEyQEB2FpQgBJCcEmlQpJCge4O1jeV4jr8KpdDp/93J7HY6dbQWBT5V2za\nLpfL8cwzz6BDhw7Wts/hMFfpU5HNN+2/BqJi60ZXd/7hHh54gxX9L8rNhY5G/xQroCYEm1gTvW86\n0URvORZF/u+995617XAauCp9/L38ISuRGY2dfXgWKfkpaOTXyFammZBRWmpo3RjM58PPCRae1JaJ\nAQHYKJdDRQiulZTgQFER+jjRJBzFOfijqAiP9A1bwvh89HDCN0yLIv+cnByz/7kbXPn+rvW7oolf\nE5Pxrbe22sIks7hDpU9FQgQCvMXKvS7OzYWWRv+UOoa9ovc1X18InLCyzKLI//333ze7z93q/O8r\nTJ1/pE8kWga2xNyzc43Gt93ehvhn4yHg2UdC2VU1farivYAArM/Ph4IQ3FSrsbewEIOcQGuF4hzc\nLinBGaUSAMBHmfN3RizySps2bQJQplw3duxY/Pzzz1Y1ypG5X2jq/CO8I9AzqqeR0icAZBVn4ei9\no+ge1d2WJhpwlzLPigTw+Rjr72/o8bs4Nxf9fHycMjqjOB4bWLn+Ht7eqOekq+YtSvvweDzweDzw\n9Tnj8m2eE9W01hVcaZ9I70gEiYI4nbw9a/7dpcyTi3H+/pDqP5+ppaVGTTYolJpSrNNhG+uz5IwT\nveW4n/euJVxpnwjvCADAq81eNdl3KP0QHhU/srpdXLiijr+l+PH5GO/vb9hemptr0F+hUGrK7sJC\nFOi74kV7eOBFJ5YRsSjt89133xmWypeUlGD58uWGfRMnTrSOZQ6IRqfBQ8VDk/FwSTgAoEtkF4SK\nQ5FVnPX4HKLBjuQdmPD0BJvZCbhe68aaMNbfH6tlMsh0OtzTaLBFLne6hTgUx4EQYjTR+6afn1N3\nxbMo8g8LC0NoaChCQ0MxaNAgw79DQx23b601yCrOgpZojcb84Q+xR9lffwFPgKFNh5qct/nmZpuv\nNq24uMuZP6Q1xZvHw3sBAYbtb/PyoNLpKjmDQjHPZZUK/+i/V0KGwTAnLyKwKBwcOtTUobkjXPn+\ncCbcaHt40+FYfnm50djt/Nu4kH0Bz4Y+a1X72LhjmScXo/388JNMhkdaLTI1GmyUy/E2Kx1EoVjK\netZEbz8fH/g7+boZi3P+V69exYoVKzB//nwAQEpKCq5du2Y1wxwRrgVe4Uw9o+2Gvg3xfNjzJsfZ\nusuXO0/2shHzeJjIiv6/y8uDkkb/lGoi02qxt7DQsO3ME73lWOT8Dxw4gFWrVqFevXr4999/AQCe\nnp5u18aRK/KPqBD5A8DwZsNNxvbc2QNFqcJk3Foku5GmT1W84euLMP2cxyOtFmtZeVsKxRK2FRQY\nVss/6eWF1k7SsKUyLHL++/fvx+zZszFw4EBDeWdERAQePLBM58ZV4HL+9WDq/PvG9IW3h/Fyb0Wp\nAvtS91nNtorQyP8xQh4PU1jR//d5eSii0T/FQggh2MCe6PX1dYleERY5f6VSiaAg4760Go0GAjer\nIOHO+dczGRN7iDGg0QCT8c3/2eZNydVbN9aEV319UV//eZXpdPhZJqviDAqljFNKJe7ov08+PJ7L\nrBa3yPm3aNECu3fvNho7cOCA23X1sjTtA3DX/J/LOoeU/JQ6t6si7tC6sbp4MgymBQYatn+UyVDA\np9E/pWrY5Z1DpFKIXeT7ZNFTjBkzBufOncP7778PlUqFKVOm4MyZMxg1apRFN1Gr1fjoo48QHx+P\n6dOnY+tW+wqe1QRCiJkJX27n3zq4NZr6NTUZt8WKX3eVdaiKwVKp4S1IrtNhUuifSCtIs69RFIcm\ns7QUB4uKDNvO1KO3KizK2/j7++Orr75CcnIycnJyEBgYiMaNG1ss7+Dh4YHPP/8cQqEQGo0Gn332\nGVq1aoWmTU2do6MiV8tNJmy9+F4IQADn8QzD4NVmr+KLs18YjW+7tQ0fPPuBVcXeaJknNwKGwSR/\nH0zPLtP8+TO8Hjru6IVmPvWw4eUNhpXaFEo5mwoKUL6yp4NIhGZeXna1py6x+P2FYRg0adIEHTp0\nQNOmTaul68MwDIT62XGtVgutVut0Eyac+X5JOHiM+Z/DkCZDIGCMnXy2MhtH7h2pc/vYsCd7aeRv\njG/+RUCRVrYhEAOtv8MDj1CEicPsahfF8dAQgo2s2n5XWx1uUfj57rvvmt23YsUKi26k0+nw4Ycf\n4uHDh+jZsyeaNDHVv09KSkJSUhIAYP78+VCuLzI5xl6kak1z9fUKw6Ar1Jq1UwwvdGO64iBJNBr/\nLWkjOnm8YBU7AeDWU0pAUvbvyMNaKItq/nPU5Zp/Pmfkj9LfAf9M4Ml5ZQPiBihsMQcT/3qAWelS\nhJQ698Kdclzt91YRWzxfor8SD5uVqfQGqXnoshtQEuv/TGv1bLMsP9Qi5z9p0iQAZXnvBQsWYNas\natxBD4/Hw8KFC6FQKLBo0SLcvXsXDRo0MDomLi4OcXFxhm3Rm47THSfneh5w2nisfpMG4KXzK7Xz\n9btv4OBBY+d/lBxD0RAlgsXBdW6nlhCkJWtRPuP7xABfiGqxElG5vsihfg+1QavT4uhvx4DcHODW\nEqDheEBQ9ldyb5ASR0NKEB8YiFF+fk4v/+xKvzcubPF8mzPygeKyf48I84PvSNt0hLPV786i3E3L\nli3RsmVLPPHEE+Dz+Ybtli1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kJsgFl9jbhewLuC27bTTGbt3ozvn+Q3cPmQi5NfJt5FBC\nbragXDH0WHQ0xt/3Nkj2agH8JJMhNjUVCYWFNW4V6qywJ3qHSqUQuWmQVBH6UzADp5SzhZU+FZHw\neHifFf0vy82tVKzr6aCnucXebhlP/NIyzzKcScjNFoh5PMTfk+JQVBQ6VFAMnZCZidfv38cdN1EM\nvV9aikOsRZYjacrHAHX+ZqjpAi9zvOnri1B99J+l1RotNqkIwzCc0f/229uNxN7oZG+ZkNup+6dM\nxntEu0/KxxxNvbywLTIS31VQDD1eXIxubqIY+ptcjvIn7CgSuXWQVBHq/M1Ql2kfABDxeJgcGGjY\n/j4vD4pKvnivNH4FnjzjD2qOMgeH7x42bNPWjcCJ+ydMhNyCREFoE+z4Qm62gGEYvCKV4ngliqGH\nXVQxtJQQbKITvWahzt8MdR35A8AIqRTh+sm4XK0Wa1i5yIpUJfamJQR3aOtGzpRPXP04pxJyswW+\nesXQ/RyKoW8+eICxDx64nGLowaIiZOkbtoTy+ejpXb2+2K4Odf4cFJcWQ1YiMxrjM3yEikNrdV0v\nHg/TWNH/irw8FOg/nFyYE3t7qHiIjNJSlLh560ZzQm49o903318VT+kVQxdUUAw9UFSE2LQ0/OBC\niqHrWMHVCF9feLixjg8X1PlzwNXEJUwSBgGv9oqZQ6VSROnr8fN1OqyuJPrvFNEJ4RLj8lId0WH7\n7e10shdl7S7zVHlGY0K+EJ0iOtnJIueAxzB4Q68YOryCYuiXOTnomZ6OM06uGJqsVuO0XuqCB/dt\n2FIZNnH+OTk5mDNnDqZNm4bp06dj//79trhtjckoNM3317TSpyIeDGMU/f8kk0FmJvo3K/Z2czPV\n9AF3yic2MtYlhNxsQaBAgCUciqG31GoM0SuGPnJSxVB2eWd3iQQRbrwA0hw2cf58Ph8jR47E0qVL\n8eWXX+LgwYPIyDB1sI7CfUXd5/vZvOLjY3DYhTodVspkZo/lEntLLUhFUs4tw7Y7On9CCC3xrCPa\niUQ4EBWFz8wohq7Nz3cqxVClToftrLU0dKKXG5s4f39/fzRs2BAAIBKJEBERgby8vCrOsh91tbrX\nHHyGwXRW9P+LTIYcMxFWA2kDdAzvaDJ+Rv7YRncs80zOT0ZaQZrRmKsKudkCD4bBeL1iaD/WxGiB\nTodPsrPR9+5dXHISxdA9hYWQ6yvpoj080FkstrNFjonN2z5lZ2cjNTUVjRubrr5MSkpCUlLZBN78\n+fOhXG+fErT00jSTsZBrQVD+a2qPLldbIzvjADR7SoCbEg2KCcG3p7Lw8V3uvORg7SD8iT+NB8WP\nO6v575VDWWqdyKymz2dt9mlMtY7aMK0h3uYFJSyz11GfrS6o6bP5AVgKKV7x9cT/ouVIF5WlJK+W\nlKDf3XsYkS3GjLtS+GrtO11Y2fOtfTIP0P/9ejVZhJKTVXfScyRq9bmcZfmhNnX+KpUKixcvxujR\noyHm+GscFxeHuLjHkZvoTfuUZmXtywYqqDnHxDWCqL6pPcr1RTW284MiBm8/KJtc/i2iGO+/GIow\njjaMQ3TDsG3/DpzJPFM24OFb9h8AaJWY4vEu1vT5GdHS6BrZURm1eT5rcmTPUSDbeKxXu94QPWO5\nrY76bHVBbZ+tB7zRWReAFTIZluflQUUICAP8FlqMg+El+CQoCMOkUrt1wjL3fFdUKvxzt6xk1Yth\n8HrXYIicrBLOVp9Lm/351mg0WLx4MTp16oT27dvb6rY1grPGX1J3Of9yekokeNrLCwCgIgTLzaTC\n+Dw+1vRYg+4NupcNsKJ+FN/DLdl/6LO7D07cP1HnNjoi2cXZuJR9yWTcnYTcbIFQX5p8JCoKXVmK\noblaLaZnZeEVB1QMZU/09vX2RoCTOX5bYhPnTwjBypUrERERgb59+9riljVGq9Ny6vrU5YRvOQzD\nID7osd78Rrnc7EIbH08f/NLjF0xpPQUQsZ1/OgAgvyQfrx94HT/985PLC3dxCbk19muMRn6N7GSR\naxPl6Yn14eFYXa+eYZEi8Fgx9AsHUQzN12qxm9UwiU70Vo5NnP/Nmzdx4sQJXLt2DfHx8YiPj8fF\ni6YSvI5AtjIbGmI8+ern5QdvT+u8hr0kFqOtfsWlmhB8W8lEOI/h4YNnP0C35mMeDxbfNfxTR3SY\n89ccTD0+FSqNiuMKroGrt2t0RBiGQS8fHxyPjsb7/v5GiqE/ymSITUvDPjsrhm4rKIBKf/+WXl6G\n7xWFG5vk/Js3b46tW7fa4lYAAKVGCbVWDV+v6i/s4Kz0kdRdpU9FGIbBB0FBGK4vfd0sl+M9f39E\nV1LBQ0SRQPkiHJbzL2f77e1IyU/Bqu6rUE9Szyp224vi0mKcesAh5EZTPjZBzOPh4+BgDJFK8XF2\nNs7oK4AeajQYn5mJLmIx5oaEoKGNK9AIIdjASvm86etrt/kIZ8FlVvgSQnAp+xI+PPkhWv/aGiuv\nrqsKOd8AABcKSURBVKzRdayh6VMVL4rFBuldLYClVZTBshd4PSPx5zzm0qNL6L2rN85nna8zOx2B\n4xnHTdprBomC0Dq4tZ0sck/KFUOXhYUhiJVXP6ZXDF1kY8XQP5VKpOhTpt48Hl6RWt5u1V1xCed/\n9dFVxO2IQ989ffHrf7+isLQQW29vhVZnXjfHHObaN1qbD1i5/50FBUbyDWwqtm7c2u0bjHliDOex\n2cpsDN03FFtubqlze+0F18Ku7g26UyE3O8AwDAZLpTgRHY23KiiGLs3LQ7f0dBxR2KbMkj3RO9jH\nBxLasKVKXOInVE9SD7fzjbtcPVQ8xPH7x6t9LXtE/gDwnEiELvryVx2Axbm5nMelqNVGrRu9+Z6Y\n+8JcLOq0CB480yXsap0a009Mx2enPzPqBeCMaHQaTiE3mvKxL758PuaFhOD3Bg3QSl+9BpT1rB55\n/z7esbJiaJZGg4MsWWo60WsZLuH8g8XBnCs7ufreVgWXjn9dru6tjJmsVb97Cwtxg6OMLsWMps+I\n5iOwre82BIuCOa/98/Wf8dr+10yE0JyJ81nnTdRWRQIRFXJzEJ4WCrG3QQPMr6AYur+oCF3S0rAi\nLw+lVpgQ/k0uR3mJRnuRCM1Zf4Ao5nEJ5w9w9709lH4IuUruCNoc9kr7AEBrkQg9WPXUi3NyTI5J\nrqR7V7vQdtg/cD9aBbfivP7pzNPovas3buTeqCOLbQunkFsEFXJzJPgMg5F+fjgeHY1hrLx7MSGY\nl5ODHunp+KsOFUM1hGAju2ELVe+0GJdx/l3rd0WIKMRorFRXih3JO6p1HVvV+JtjJiv3/4dCgasq\n45LNqtQ8w73DsaPvDgxuPJjz+veK7qH/3v74PfX3OrLYNhBCkJieaDJO2zU6JkECAZaGhWFX/fpo\nXkExdHBGBqY8fFgniqGHFQpk6q8TyOejF23YYjEu4/wFPAGGNh1qMr755maLa48L1YWQq41763rw\nPBAiDjFzRt3zhJcX+rI+wAsr5P4tad0oFAjxbZdv8fnzn4PHmP6KlRolxiWNw8LzC6Ej9l+cYwm3\n82+bCLnxGB7i6lMhN0fmOZEIf3Aohm4vKKgTxVD2RO8IqRRedKLXYlzqJ8WlfX9TdhOXH1226Hxz\nNf5cDtSazAgMRPnX5IhCgfP6WurqtG5kGAbjnhqHjS9vhJ8X9wTYN5e+wduH3kahupBzvyPBlfJ5\nNuRZBIoCOY6mOBLliqHHoqONAhu2YuhlVfUXJaaq1TimTyExAN6gE73VwqWcf2O/xngu9DmT8c03\nN1t0vrWlnC2lqZcXBvn4GLbLo/+atG7sHNkZ+wbsQ1O/ppz7E9MT0X9Pf6TKU+vAcuvBqd1P2zU6\nFeEeHvgxPBwbIyIQzWqucrWkBH3v3sVHWVnIr6StaUV+ZeX6X5JIUJ82bKkWLuX8AeDV5qYTv3tS\n9kCpqVqLnKvSx5b5fjbTAgNR7tpPFRfjdHFxjbt3xfjGIGFAAl6Oeplz/638W+izuw+O3TtWC4ut\nR1ZxFhVycyG6SCQ4HBWFmYGB8NKnggiA9XI5OqelYVtBQZWp2hKGYAud6K0VLuf8+8b0hcRDYjRW\nWFqIfXf2VXku12SvrSp9KtLQ0xNDWdUSC3Nza9W319vTG6u6r8L0NtM598vVcow8OBIrr650OGG4\nQ+mHTMaa+DVBQ9+GdrCGUhcYKYay5N1ztVpMffgQgzMy8F8liqH7A5WQ6VcQRwoERqqjFMtwOecv\n8ZBgQMMBJuNbblW9ytVeC7zMMTUwEOUvsueUSqOStpp07+IxPMxoOwOr4lZBLDDtp6AjOsw9OxeT\nj0226E3JVtB2ja5LtKcn1kdEYHW9eqjHUgw9q1SiR3o65j56BAWHTMRvoY9XDr/u6ws+1fGpNi7n\n/AFgeDPTvrdnMs9Umdd2pLQPANT38MAI1uuspZO9VdE7pjf2DtiLBj4NOPfvTN6JwQmDOd+EbI2i\nVIE/H/xpMk5TPq4DWzH0vQqKoSv1iqG/sxRDr5eU4JJP2XfBAzD6jlAsxyWdf9uQtmji18RkvKro\n39EifwCYHBBgyIuyqW3T9hYBLfD7wN/xYviLnPuv5FxB7929cUF3oVb3qS1cQm7BomC0DqFCbq6G\nhMfDJ8HBSIyKwvOixwv3MjUajMvMxMj795GqVhuVd/b28UEwR/c7StW4pPNnGIZzxe+2W9ug0XEv\nLNHoNHhY/NBk3N7Ov56HB0ZWiGzEDGP0ilxTAoQB2NhrI8Y+OZZz/yPlI7xROgq//fdbre9VU8wJ\nudm6/JZiO5p5eWF7ZCS+raAYelSvGLq9oMAwRid6a47LfoMGNx4MAWPsIB8WP8TxDG6xt4eKhyYL\nngKEAQ4hHTAxIAAiVvTfyNMTvDrKcQp4AszpMAdLYpfAk2f6NlGKUsSfjMcnf35ic2E4KuTmvjAM\ngyF6xdDRvr6GdS8lhBgatjTz9ER7kf2/n86Kyzp/c2Jv5mr+7anpUxXBAgHGsBawWEO4anjT4djR\nbwdCxaGc+9feWIsR+0dUWyupNvyd9TfyS/KNxkQCEV6M4E5VUVwPXz4fX4aGmiiGAsBI2rClVris\n8we4xd4S0xM5Hdh9hePl+9lMCgjAS2Ixmnt6Yrw/dwOX2tImpA32D9xvNp9+JvMMeu/ujWu516xy\n/4pwtWvsEtnFId7GKLblGb1i6FchIYjx8EDXPC860VtLXNr5v1T/JZNIVkM02H57u8mxGYX2k3K2\nBB8+H79GRuJwdDRaWFGyNkwShu19tnNKZQBlFVED9w7E3pS9VrMBKBNyO3TXtL6fpnzcFz7D4E0/\nP5yKicFPtwIhpDo+tcKlf3oCngBDm1gm9ubIaR9bIxQIsaTzEnzR4QvwYSohodQo8e6RdzH/7/lW\nE4a7JbvFLeTGkcqjUCjVx6WdP8At9nYr/xYuPTKWC3igsK+Us6PBMAzefvJtrPH42aww3HeXv8Nb\niW+hQF3Aub82cFX5tAtthwBhQJ3fi0JxR1ze+Tfya4T2Ye1NxitO/HKlfdzZ+ZfzAq8D9g/cjxYB\nLTj3J91NQr89/ZCSn1Kn9+XU7qcpHwqlznB55w9wr/jdk7IHxaVlcrCEEM4JX3dN+1QkShqFPf33\noHd0b879yfnJ6LunL47cO1In93uoeGjyZgZQSQcKpS5xC+ffL6afidhbUWkR9qWWib3J1XIoShVG\n+734XggUUq34ciQeEvwY9yNmtp3Jub9AXYA3/3gTP1z5odbCcFwTvU39miLGN6ZW16VQKI9xC+cv\n9hBzi73dLJN74GzaLgmnNcQV4DE8TGszDb90/8XkjykAEBB8ee5LTDw6sVbCcLRdI4VifdzC+QPc\nNf9/PfwLd+R3uKWcfWjKxxw9o3sioX8CoqXRnPt3p+zGoIRBnBVUVWFWyK0Bdf4USl3iNs6/TUgb\ns2JvnIJuEjrZWxnNApph34B96BzRmXP/Pzn/oPfu3jj38Fy1rnss45iJkFuIKIQKuVEodYzbOP/K\nxN7SC9JNxmmlT9X4C/2x4eUNGP/UeM79OcocDPt9GDb8u8Hia3Kt6u0eRYXcKJS6xq2+UUOaDDER\ne8sqzsLO5J0mx0b4UOdvCQKeAJ89/xm+7fItvPimK49LdaWYdWoWZp2aBbVWzXGFx2h0Ghy+d9hk\nnJZ4Uih1j1s5/yBRELpHdTcZz1WZav3QtE/1GNJkCHb224kwSRjn/g3/bsCr+19FjjLH7DXOPTxn\nIuQmFojN9hygUCg1x62cP1CmXmkJNO1TfVoFt8KBgQfQNqQt5/6zD8+i165e+CfnH879XFU+XSK7\nQCgQ1qmdFArFDZ0/l9gbF44k6uZMhIhDsK3vNoxoNoJz/wPFAwzcOxB7UvYYjRNCOJ0/15sahUKp\nPW7n/M2JvbEJEYVw5q8pluHF98LCTgvx5Qtfgs+YCsOptCq8d+Q9fHXuK2h1WgDATdlNpBcaT7xT\nITcKxXq4nfMHuOUe2NCUT+1hGAajnxiNzb03w9+Lu//A8ivLMTpxNArUBZxCbs+FPkeF3CgUK+GW\nzr+hb0NOsbdyaMqn7ngh/AUcGHTArDDckXtH0Gd3H86KK1rlQ6FYD7d0/gD3it9yqKBb3VLfpz72\n9t+LvjF9Offfkd9Bcn6yyXjPaCrkRqFYC5s4/x9++AFjx47FjBkzbHE7i+gb0xfeHt6c+2jap+4R\ne4ixsttKfPjsh2BQtWZSM/9mZuUjKBRK7bGJ8+/SpQs+/vhjW9zKYsQeYgxoZCr2BlDnby0YhsHk\n1pOxpscas394y6FVPhSKdbGJ82/ZsiW8vSv/stsDc6kfmvaxLt2jumPfgH2I+f/27j6mqXuP4/i7\nFJGHO0Bx9QERROhkEVkWDZuZuilxC3HJsjVlOJFuM4SHxIlZopnB6Z3JcJZItiCUDLfhNdvI7iZz\neDNjDGqGix3EyMMcaqpzulxAGIPJQ07b+wexVyYqYsuR9vv6rz09PZ9vqt8efuf09wu98xTNMne/\nEJ7lf++XjJ+jR49y9OhRAAoLC+mr7PXo8eY749Fr9LQ6W13PhRDCzBodfZrRHdtx3e7xnGryVH2z\nmcm/nVVs1GzihPPksG0zmclj/4kb9WcwVt782XlzbeDd9T1QbVtG/9KHqvmnpKSQkvL/+7qD1nn+\nr4Xd/92NscbomklyU/ImIhbqRr1/X2XvuORUiyfrC+If/MtxgEJrIaVnS3HiZJLfJP654p+EzA31\nyDFv5c2fnTfXBt5d33jV9lA1fzUsmr6I0+mn+eHaD8wLn8eCiAVqR/IpWj8tW5O3kvZYGs3Xm0mc\nlkhsWKzasYTwej7f/GFowrc7XfwV4yMuPI648Di1YwjhM8al+RcXF9PS0kJPTw/Z2dkYjUZWrFgx\nHocWQggxgnFp/hs3bhyPwwghhBgln/2FrxBC+DJp/kII4YOk+QshhA+S5i+EED5I43Q6nWqHEEII\nMb7kzP8BbdlyH7+nnoC8uT6pbeLy5vrGqzZp/kII4YOk+QshhA/Sbt++fbvaISa62FjvnovGm+uT\n2iYub65vPGqTC75CCOGDZNhHCCF8kDR/IYTwQTKl8xh1dHRQUlLCH3/8gUajISUlhdTUVLVjuZXD\n4WDLli1MnTrV626t++uvvygrK+PKlStoNBpycnLQ6/Vqx3KL7777jmPHjqHRaIiKiiI3N5eAgAC1\nY43Z3r17aWhoICwsjKKiIgB6e3vZs2cP7e3tPProo+Tn5z+US8Xey0i17d+/n/r6evz9/Zk+fTq5\nubmEhIS4/dhywXeMBgYG0Ov1pKens2zZMiwWC4mJiYSGen4FqvFSU1ODoigoisIzzzyjdhy3Ki8v\nJzExkdzcXFJSUggODp7QDfKmzs5OysvLMZvNpKamUldXh6IoxMTEqB1tzEJCQnjuueewWq08//zQ\n2s5VVVVERUWRn59PV1cXZ8+eZeHChSonvX8j1QaQkZHBCy+8gM1m49y5cx6pTYZ9xmjKlCmuK/JB\nQUFERkbS2dmpcir3uX79Og0NDaxcuVLtKG5348YNfv75Z9eaEv7+/h45s1KLw+FgcHAQu93O4OAg\nU6ZMUTvSA3n88cdvO6u3Wq0sX74cgOXLl2O1WtWI9sBGqi0pKQmtVguAXq/3WF+RYR83aGtrw2az\nERfnPStRffrpp6xdu5a+vj61o7hdW1sboaGh7N27l8uXLxMbG4vJZCIwMFDtaA9s6tSpvPjii+Tk\n5BAQEEBSUhJJSUlqx3K77u5u15daeHg43d3dKifyjGPHjrFkyRKPvLec+T+g/v5+ioqKMJlMBAcH\nqx3HLerr6wkLC/Pa+6jtdjs2m41Vq1bxwQcfMHnyZA4ePKh2LLfo7e3FarVSUlKCxWKhv7+fEydO\nqB3LozQaDRqNRu0Ybvf111+j1WpZunSpR95fmv8DUBSFoqIili5dSnJystpx3OaXX37hp59+Ii8v\nj+LiYpqamvjwww/VjuU2ERERREREEB8fD8BTTz2FzWZTOZV7NDY2otPpCA0Nxd/fn+TkZFpbW9WO\n5XZhYWF0dXUB0NXV5VXX2gBqa2upr69nw4YNHvtik2GfMXI6nZSVlREZGcnq1avVjuNWa9asYc2a\nNQA0Nzdz6NAhNmzYoHIq9wkPDyciIoJr164xa9YsGhsbmT17ttqx3GLatGmcP3+egYEBAgICaGxs\nZN68eWrHcrtFixZx/PhxXnrpJY4fP87ixYvVjuQ2Z86cobq6mh07djB58mSPHUd+4TtG586dY9u2\nbcyZM8f1zZyens6TTz6pcjL3utn8ve1Wz0uXLlFWVoaiKOh0OnJzcyfkrYIjqaqqoq6uDq1WS0xM\nDNnZ2UyaNEntWGNWXFxMS0sLPT09hIWFYTQaWbx4MXv27KGjo2NC3+o5Um3ffPMNiqK46omPjycr\nK8vtx5bmL4QQPkjG/IUQwgdJ8xdCCB8kzV8IIXyQNH8hhPBB0vyFEMIHSfMXQggfJM1fiIec2Wym\nrKxs2HO7d++moqJCpUTCG0jzF+Iht379ek6fPk1TUxMAdXV12Gw2XnvtNZWTiYlMmr+YEN59910y\nMzMxmUyYzWbXbKO1tbUUFBQMe212djbNzc0AXLhwga1bt2IymcjKyqKiogJFUYChXy9nZ2e79vv7\n487OTsxmM2+++SZ5eXkcPnzYta2qqmrYfEd2ux2j0UhbWxsAJSUlfPHFF67t77//PkajEbvdDsBv\nv/1GQUEBmZmZZGRkkJaWRm1t7Yi1h4eHs27dOiwWCx0dHXzyySdkZWV5xSykQj3S/MWE8MYbb7Bv\n3z5KS0vp6+u7Y6P8Oz8/PzIzM6moqGDnzp00NTXx/fffA0OzQd7pB+4Oh4Ndu3YRExODxWJh27Zt\nHD58mDNnztx39qamJi5fvjzsua+++orIyEj27dvH/v3777mK2LPPPsuMGTPYvHkzSUlJPPHEE/ed\nQ4hbSfMXE0J0dDRarRan04lWq2XOnDmj2i82Nha9Xo9Wq0Wn05GSkkJLSwswNAlad3c3ly5dum2/\nixcv8ueff2IwGFzL6a1cuZK6urr7yu10Ojlw4ABGo/G2bQ6H445fPiOZP38+PT09LFu27L4yCDES\nmdVTTBhvv/02V65cISEhgZkzZ7qeP3/+PCaTyfX41gVorl27RmVlJRcvXnStbnVznQKdTofBYGDn\nzp0oioLdbnet6NXe3k5XV9ew93U4HCQkJLgenzp1ioaGhrtmPnXqFI888ggLFiwY9vyrr75KaWkp\na9euJTAwkP7+/ruumvb7779z6NAhVq1aRWVlJYWFhfj7y39fMXbyr0dMGGazmYGBAcrLy/nss8/I\nz88HhmY9fO+991yvu3Xc/uOPPyYmJoa33nqLoKAgampq+PHHH13bDQYDBoMBGBrz/+ijj4Chvwp0\nOt1d1zF4+umnXVNd2+120tPTh21XFIUvv/ySTZs23bbvjBkziI6OJioqivXr19923eJWN6cPT01N\nxWAwUFBQQHV1Na+88sod9xHiXmTYRzz0+vv7XRdS7XY7drt91Iut9/X1ERwcTGBgIFevXuXIkSOj\n2i8uLo6goCAOHjzI4OAgDoeDX3/9lQsXLow698mTJ9Hr9URHR9+2rbW1FavV6lo34W6OHDlCT08P\nL7/8Mn5+fuTk5PDtt99y9erVUWcR4u/kzF889G7cuMGuXbtob2/H39+fhISEYcMxd5ORkUF5eTnV\n1dXMnTuXJUuWuG6ZvBs/Pz82b95MZWUleXl5KIrCrFmzSEtLG3Xu3t7eEV+vKAoWi4XXX3/9nkt/\ndnR08Pnnn/POO++4hnlmz57N6tWrsVgs7NixwyuXMBSeJ/P5CyGED5JhHyGE8EHS/IUQwgdJ8xdC\nCB8kzV8IIXyQNH8hhPBB0vyFEMIHSfMXQggfJM1fCCF80P8AIn9CiiwxlTQAAAAASUVORK5CYII=\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(X, Y,'g',label='зеленая линия', linewidth=5)\n",
"plt.plot(X2, Y2,'c',label='голубая линия',linewidth=3)\n",
"\n",
"plt.title('График с ggplot')\n",
"plt.ylabel('значения Y')\n",
"plt.xlabel('значения X')\n",
"\n",
"plt.legend()\n",
"\n",
"plt.grid(True,color='orchid') # а еще можно менять вид сетки\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Соберем новый набор данных:"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"X = [1, 2, 3, 4, 5]\n",
"Y = [11, 12, 13, 14, 15]\n",
"\n",
"X2 = [6, 7, 8, 9, 10]\n",
"Y2 = [15, 14, 13, 12, 11]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Мы можем нарисовать __столбчатую диаграмму__:"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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kpMbHx51eKeYGBwf17bffqra2VsnJyTp79qw6OjpUVFTk9GoxUVRUpDfeeEMNDQ2z97W0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\nHQAM8R+UiKnpaw+hOAAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.bar(X, Y)\n",
"plt.bar(X2, Y2, color='g')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Ну и наконец, график лайков, комментариев, репостов Владимира Владимировича."
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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cuXN67Zw9e5b/uU2bNsjMzMTVq1erdZXj5ubGv0bNmzdHREQE4uPjDT6/ovfp3Llz+PLL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\nsQmiwRERERERsQmiwRERERERsQn/D/J9AUohHOkpAAAAAElFTkSuQmCC\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"X = range(len(likes))\n",
"\n",
"plt.plot(X, likes, 'g', label='лайки')\n",
"plt.plot(X, comments, 'c', label='комменты')\n",
"plt.plot(X, reposts, 'r', label='репосты')\n",
"\n",
"plt.title('Лайки, комменты, репосты на стене В. В. Файера')\n",
"plt.ylabel('Количество')\n",
"plt.xlabel('Записи по порядку')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Пример\n",
"\n",
"Помните [файл](https://github.com/elmiram/2016learnpython/blob/master/data/Genproc.csv) с твитами генпрокуратуры? Попробуем создать графики на этом датасете. \n",
"\n",
"### Сколько твитов было в каждый месяц в 2013 году?"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"{'01': 460,\n",
" '02': 503,\n",
" '03': 377,\n",
" '04': 435,\n",
" '05': 337,\n",
" '06': 347,\n",
" '07': 438,\n",
" '08': 207}"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from collections import Counter\n",
"\n",
"with open('data/Genproc.csv', 'r', encoding='utf-8') as f:\n",
" lines = f.readlines()\n",
" \n",
"dates = Counter([line.split()[1][5:7] for line in lines if '2013-' in line])\n",
"dates\n",
"dates = dict(dates)\n",
"dates"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"months_labels = sorted(dates.keys())\n",
"months = [i for i in range(len(months_labels))]\n",
"twit_nums = [dates[key] for key in months_labels]\n",
"\n",
"plt.bar(months, twit_nums)\n",
"plt.xticks(months, months_labels)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Сколько Твитов было в каждый час в аккаунте Генпрокуратуры и Сколково?\n",
"\n",
"[Твиты сколково](https://github.com/elmiram/2016learnpython/blob/master/data/skolkovo_ru.csv)\n",
"\n",
"[Твиты прокуратуры](https://github.com/elmiram/2016learnpython/blob/master/data/Genproc.csv)"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['00', '01', '02', '03', '04', '05', '06', '07', '08', '09', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19', '20', '21', '22', '23']\n"
]
}
],
"source": [
"hours = ['{:02}'.format(i) for i in range(24)]\n",
"print(hours)"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[0, 0, 0, 0, 0, 0, 0, 1, 1, 62, 255, 534, 430, 372, 396, 420, 448, 276, 28, 3, 1, 0, 0, 0]\n"
]
}
],
"source": [
"hours_genproc = Counter([line.split()[2][:2] for line in lines])\n",
"hours_genproc = [hours_genproc[hour] for hour in hours]\n",
"print(hours_genproc)"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[7, 12, 0, 0, 0, 0, 0, 14, 13, 129, 158, 165, 319, 277, 207, 234, 293, 243, 211, 188, 66, 24, 10, 10]\n"
]
}
],
"source": [
"with open('data/skolkovo_ru.csv', 'r', encoding='utf-8') as f2:\n",
" lines2 = f2.readlines()\n",
" \n",
"hours_skolkovo = Counter([line.split()[2][:2] for line in lines2])\n",
"hours_skolkovo = [hours_skolkovo[hour] for hour in hours]\n",
"print(hours_skolkovo)"
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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LUSqVFsVyOycnJ6vKWlOuvpVxZF01/Uw5mTkAtGvQrtx72iq+7sruTH1gKisP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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(range(len(hours)), hours_genproc, 'g', label='генпрокуратура')\n",
"plt.plot(range(len(hours)), hours_skolkovo, 'c', label='сколково')\n",
"\n",
"plt.title('Твиты по часам')\n",
"plt.ylabel('Количество твитов')\n",
"plt.xlabel('Время')\n",
"plt.xticks(range(len(hours)), hours)\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Задания\n",
"\n",
"1) Составьте список 10 аккаунтов, которые чаще всего ретвитил аккаунт Сколково. Ретвиты начинаются с RT, аккаунт автора указывается сразу после RT, например: `RT @sk_ru_live`. Наприсуйте столбчатую диаграмму, показывающую количество ретвитов из каждого найденного аккаунта.\n",
"\n",
"2) Составьте график длины твитов аккаунта Сколково (ретвиты не считать). На то же изображение добавьте такой же график, построенный по аккаунту генпрокуратуры.\n",
"\n",
"3) Обкачать стену (свою или Владимира Владимировича). Составить график, показывающий, как количество лайков зависит от длины записи."
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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JIBCgsbGRGTNm4HA4cDgczJgxg8bGxiHYHBERGYxBXTNoa2sjIyMDgPT0dNra2gAwDAO3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\n1AAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"lens = [len(text['text'])for text in data['response'][1:]]\n",
"lens\n",
"\n",
"plt.scatter(likes, lens, c='c')\n",
"plt.xlim(0,40)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}