In [1]:
import facebook
In [2]:
token="EAACEdEose0cBAGVqzUafyZCDG7WiZBY6e104Dt1NuLeI4Yi5mIqMhWX18P17vXbVpS019ZCweZCyNQ84ML4ZCyA23K0Oni0LfAbVG4m7NilkyLjQOZARDpmRAAZBAxbzusEf6tbVo7TAoHQcrzO5Mfk2Hgw7jajePTrX5oisofNbQZDZD"
In [4]:
graph = facebook.GraphAPI(token, version="2.5")
In [7]:
obj = graph.get_object("me")
obj
Out[7]:
{u'id': u'10201382289514027', u'name': u'\u9b4f\u6fa4\u4eba'}
In [11]:
print obj['id']
10201382289514027
In [10]:
print obj['name']
魏澤人
In [12]:
obj = graph.get_object('me', fields=['id','name','gender', 'favorite_teams'])
print obj
{u'favorite_teams': [{u'id': u'1590154637906351', u'name': u'\u6771\u83ef\u61c9\u6578\u58d8\u7403\u968a'}], u'id': u'10201382289514027'}
In [26]:
print obj['favorite_teams'][0]['name']
東華應數壘球隊
In [17]:
a=['a', 1, '4', "hhh"]
In [74]:
friends = graph.get_object('me', fields=['friends.limit(1000)'])['friends']
#friends = graph.get_connections('1025586530', 'friends')
In [84]:
stat = {}
for f in friends['data']:
key = "favorite_athletes"
obj = graph.get_object(f['id'], fields=['id','name', key])
if key in obj:
print f['id'], f['name']
for team in obj[key]:
print "["+team['name']+"]",
if team['name'] not in stat:
stat[team['name']] = 0
stat[team['name']] += 1
print
579597656 海總理
[回聲樂團 春佑] [詹詠然~Yung-Jan Chan] [陳浩南]
604202290 Yau Kwan Kiu
[黑嘉嘉 Joanne Missingham] [Magnus Midtbø] [Roca Viva - Escalada y Fotografia] [羽生結弦 Yuzuru Hanyu] [台灣女子職業圍棋棋士] [滑冰 林立雪] [Vivian Chang Equestrian] [Nootsara Tomkom[นุศรา ต้อมคำ] FC] [Sarah Lee Wai Sze] [Zhi Gin Lam]
650797914 Rex Tsai
[SKYtomo] [Jason Belmonte] [怪獸訓練 (Monster training)] [李虹瑩 Hung-Ying Lee] [Tim Emmett] [Jamie Clarke] [王宇佐 Jimmy Wang]
10152113913020617 John Chen
[戰勝體脂肪] [健身狂 Sally Chen] [Sabina Altynbekova]
753966671 Yi-Hsi Lee
[黑嘉嘉 Joanne Missingham] [Jeremy Lin 林書豪] [Jeremy Lin]
1025586530 Chien-Hsun Chen
[Leo Messi] [Warrior Dash]
1128886899 Timothy Chen
[DeMarco Murray]
1193385886 Chia-Chi Chang
[黑嘉嘉 Joanne Missingham]
1233266413 Mark Chang
[Mark Cavendish] [輔大金剛狼邱柏學] [Michael Phelps] [菲爾普斯] [Michael Phelps] [Alberto Contador] [Andy Schleck] [李詹瑩 Joy Lee] [杨建利] [浩克Hulk] [On MikeWei 2Tri.] [殺人強] [莊智淵 Chih-Yuan Chuan] [Female Fitness Models] [Skyview yeh]
1284882421 Joey Lai
[Michael Jordan] [Lu Yen-hsun] [Steve Nash] [Kobe Bryant] [Valentin Delluc] [Kristaps Porzingis] [Aaron Gordon] [Miesha Tate] [Ronda Rousey] [Holly Holm] [Morris Chen-陳漢承] [Kemba Walker] [林志傑 Lin Chih-Chieh] [詹皓晴 Hao-Ching Chan] [Klay Thompson] [Manny Pacquiao] [Monta Ellis] [Anthony Davis] [Floyd Mayweather] [Leo Messi] [David Beckham] [Cameron Winklevoss] [John Wall] [DeMar DeRozan] [Serge Ibaka] [Joakim Noah] [Dirk Nowitzki] [Mike Conley Jr.] [Arnold Sports Festival] [Jeremy Lin 林書豪] [Shaquille O' Neal] [Kevin Durant] [Paul Pierce] [Rajon Rondo] [Michael Phelps] [Kevin Garnett] [Stephen Curry] [Pau Gasol] [Muhammad Ali] [Usain Bolt] [Wayne Rooney] [Mancino Roberta] [Bernadett Matassa Fansite] [Novak Djokovic] [Andy Murray] [Rafa Nadal] [林義傑] [Deandre Jordan] [Carmelo Anthony] [Luol Deng] [Damian Lillard] [Ray Allen] [Nate Robinson] [Deron Williams] [Rudy Gay] [Russell Westbrook] [Ricky Rubio] [Paul George] [陳彥博 Tommy Chen] [Kevin Love] [Kyrie Irving] [Blake Griffin] [Chris Paul] [Chris Bosh] [Marc Gasol] [Sean Chen 陳信安] [Dwyane Wade] [Dwight Howard] [Chandler Parsons] [James Harden] [夢遊寫真人謝淑薇 Suwei Hsieh] [姚明 Yao Ming] [Derrick Rose] [Tim Duncan] [Tony Parker]
1322255751 Summit Suen
[Xavi Hernandez] [Xavier Chen〡Official 夏維耶官方頁] [陳柏良 Chen Po-Liang] [統一獅官方粉絲團] [Lee Chong Wei 李宗伟] [MLB Memes] [紅面棋王周俊勳] [王睿 Ruei Wang] [Zach LaVine] [Jordan "Mission Impossible" Kilganon] [Aaron Gordon] [陳浩瑋 CHEN HAO WEI] [Peyton Manning] [Devin Funchess] [Jonathan Stewart] [Cam Newton] [Thomas Davis] [Von Miller] [Larry Fitzgerald] [Kurt Warner] [高國輝] [温智豪 Wen Chih-Hao] [時煒／時國司 Shih Wei/Tsukasa Tokikuni] [Séan GARNIER S3 freestyle ball] [曾淑娥與林曼婷 - 征服歐洲女足] [陳勁宏] [黑嘉嘉 Joanne Missingham] [Yaki Yen 殷亞吉] [Mou Amougo 李茂] [柯昱廷 Ko Yu-Ting] [Manny Pacquiao] [洛老師運動/運彩粉絲團] [Shinji Kagawa] [Chencho Gyeltshen] [Lu Kun-chi] [SkillTwins] [游呈駿 Tony Yu] [朱恩樂(Onur Dogan)粉絲團] [Rob Gronkowski -Gronk] [Kevin De Bruyne] [黑色島國大腸陣線] [蘇敏 Ming Sue] [陳信安足球學校] [Tony Chen] [王哥] [Per Mertesacker] [Luis Suarez] [Ilkay Gündogan] [Roman Weidenfeller] [Sami Khedira] [Łukasz Piszczek] [Ricardo Kakà] [Robert Lewandowski] [Bastian Schweinsteiger] [Toni Kroos] [Edin Džeko] [Mats Hummels] [Theo Walcott] [Jack Wilshere] [Mario Götze] [Juan Mata] [Eden Hazard] [André Schürrle] [Marco Reus] [Jeremy Lin 林書豪] [戴靖潔/ Tai Ching Chieh] [戴資穎/ Tai Tzu Ying] [Shinji KAGAWA(香川真司) Dortmund] [陳偉殷 チェン・ウェイン CHEN WEIYIN] [Chris Young] [Yen-Hsun Rendy Lu] [Iker Casillas] [Joachim Low] [Alessandro Diamanti] [Lin Man-ting] [台灣足球家族踢球地點大蒐集] [John Farnworth]
1448347314 束凱文
[colalin]
1555532684 Chun-Yu Tseng
[Kim Sung Jin] [Huang Boo(黃昱瑄)] [Evgeni Plushenko]
1578041896 Andy Dai
[飆捍] [台灣巨炮#52 陳金鋒] [Matt Cain] [Matt Cain] [Barry Bonds]
1681390745 Colin Su
[陳建禎 CHEN Chien-Chen] [洪鈺釗 Yu-Chao Hung] [政大應數5號/交大女排18號]
1694098971 黃智鑠
[Jeremy Lin 林書豪] [活力充珮] [Robinson Cano] [Mark Teixeira] [Derek Jeter] [Chien-Ming Wang] [陳偉殷 チェン・ウェイン CHEN WEIYIN] [王建民 Chien Ming Wang] [郭泓志(Hong-Chih Kuo)]
1734915642 Bob Wei
[Roger Federer] [Rafa Nadal] [Novak Djokovic] [Stephen Curry] [黑嘉嘉 Joanne Missingham] [Jeremy Lin 林書豪] [Stan Wawrinka] [Chien Ming Wang]
10200913797886668 Chih-Cheng Liang
[黑嘉嘉 Joanne Missingham]
100000105472991 George Chao
[黑嘉嘉 Joanne Missingham] [Jeremy Lin 林書豪] [ChunMin 楊浚泯] [Rajon Rondo] [跳躍力聖經 Vertical Training Society] [飛人 陳濡群] [Chien Ming Wang] [輔大金剛狼邱柏學] [Steve Nash] [Sean Chen 陳信安]
841861315828928 Eugene Kow
[MiSTakE] [Dinter] [無限期支持籃球正妹孫壘魂] [Toyz] [Leo Messi] [西門夜說/westdoor/] [Jeremy Lin 林書豪] [徐文瑾] [Carles Puyol]
764891540198412 Hsu Calvin
[Shelly-Ann Fraser-Pryce] [Dominique Wilkins] [[HBK]『黑曼巴』Kobe Bryant] [Andrelton Simmons] [Manny Pacquiao] [Henrik "Froggen" Hansen] [Ronaldinho Gaúcho] [王元均 圍棋] [Thomas Müller] [Rafa Nadal] [Yen-Hsun Rendy Lu] [Neymar Jr.] [David Luiz] [Paul George] [Chris Paul] [Shaquille O' Neal] [Kevin Durant] [Warren Weir] [Dwyane Wade] [Dwight Howard] [Steve Nash] [Pau Gasol] [Kobe Bryant] [Maria Sharapova] [Usain Bolt] [Andy Murray] [Novak Djokovic] [Roger Federer]
868994716457852 林俊逸
[再不打球就等死]
100000528111238 Jackle Chen
[Michael Jordan] [跳躍力聖經 Vertical Training Society] [哈薩克女排選手莎賓娜 Altynbekova Sabina] [James Kingston] [Nani]
100001043478640 Craig Kuo-Jen Chao
[台灣 WAKE GIRL I Ting 徐依婷]
100001284407552 Hsu-Wei Hsu
[統一獅官方粉絲團]
737834339621853 周忠毅
[台大資工b04毛鈺翔之台大張繼科 資工莊智淵 鈺翔區全開 擁有德田十二球經之球桌上的魔術師]
699731236782745 Chia H Lai
[黃檸檬] [Lamigo Monkeys] [盧明珠 - Lu Ming-Chu] [吉雷米]
466344503500538 Alexander Shieh
[再興女子陸上競技部] [Yen-Hsun Rendy Lu]
403664106439248 Adrian Liaw
[Carles Puyol] [Xavi Hernandez] [Leoneo Messi] [Josh Sheehan] [Kristina Mladenovic] [Anna Kournikova] [Belinda Bencic] [Stefanie Graf] [Alizé Cornet] [Laura Robson] [Martina Hingis] [Metta World Peace] [Genie Bouchard] [Ronaldo Nazário de Lima] [Ronda Rousey] [Garbiñe Muguruza] [Sabine Lisicki] [Petra Kvitová] [Alex Rodriguez] [Leo Messi] [Gareth Bale] [Zlatan Ibrahimovic] [LAMPARD] [WiffleBoy28] [Tom Pagès] [Nate Adams] [Ronnie Renner FMX] [Jeremy TwitchThis Stenberg] [Cam (sincs) Sinclair] [Mat Rebeaud] [Ana Ivanovic] [Caroline Wozniacki] [Maria Sharapova] [Levi Sherwood] [André Villa] [Pedro] [Thomas Müller] [Víctor Valdés] [Gerard Piqué] [Brodie Smith] [Mesut Özil] [Iker Casillas] [James Stewart] [Robbie Maddison] [Novak Djokovic] [Rafa Nadal] [Chris Bosh] [Victoria Azarenka] [Andy Murray] [Kobe Bryant] [LeBron James] [Michael Jordan] [Derrick Rose] [林書豪]
In [33]:
graph.get_object("1233266413", fields="posts")
Out[33]:
{u'id': u'1233266413',
u'posts': {u'data': [{u'created_time': u'2016-05-10T06:55:30+0000',
u'id': u'1233266413_10206720529751878',
u'story': u'Mark Chang shared a link.'},
{u'created_time': u'2016-05-10T05:27:05+0000',
u'id': u'1233266413_10206720136342043',
u'message': u'https://tw.pycon.org/2016/zh-hant/events/talk/27429730160476163/'},
{u'created_time': u'2016-05-09T15:07:18+0000',
u'id': u'1233266413_10206716170122890',
u'message': u'\u6295\u7a3f\u4e00\u4e0b...\n\u4f86\u770b\u770b\u4eba\u5de5\u667a\u6167\u5beb\u8a69\u80fd\u4e0d\u80fd\u5beb\u8d0f\u4eba\u985e'},
{u'created_time': u'2016-05-09T14:32:42+0000',
u'id': u'1233266413_10206716045559776',
u'message': u'\u592a\u4e45\u6c92\u505a\u6709\u6c27\uff0c\u90fd\u53ea\u6709\u91cd\u8a13\n\u9ad4\u8102\u80aa\u7adf\u7136\u8d85\u904e20%\u4e86\n\n\u525b\u597d\u4eca\u5929\u53bb\u653f\u5927\uff0c\u7528\u6821\u5712\u8eca\u786c\u722c\u4e86\u5169\u8d9f\u74b0\u5c71\u9053\n\u4ee5\u5f8c\u53bb\u653f\u5927\u6642\u90fd\u8981\u7528\u6821\u5712\u8eca\u9a0e\u5b8c\u5169\u8d9f\u74b0\u5c71\u9053\u624d\u80fd\u56de\u5bb6\n\n\u60f3\u5230\u9a0e\u516c\u8def\u8eca\u8981\u5148\u7a7f\u4e00\u5806\u6709\u7684\u6c92\u7684\u88dd\u5099...\u9084\u662f\u9a0e\u6821\u5712\u8eca\u6bd4\u8f03\u65b9\u4fbf',
u'story': u'Mark Chang at \u570b\u7acb\u653f\u6cbb\u5927\u5b78 National Chengchi University (NCCU).'},
{u'created_time': u'2016-05-06T13:49:29+0000',
u'id': u'1233266413_10206695489925898',
u'message': u'\u6ce1\u4e86\u4e00\u676f\u4e73\u6e05\u86cb\u767d\uff0c\u6ce1\u5b8c\u5f8c\u7e7c\u7e8c\u5bebCode\uff0c\u7d50\u679c\u5e7e\u500b\u5c0f\u6642\u5f8c\u624d\u767c\u73fe\u5c45\u7136\u5fd8\u4e86\u628a\u5b83\u559d\u6389\uff0c\u53ea\u597d\u5012\u6389\u518d\u91cd\u6ce1\u4e00\u676f'},
{u'created_time': u'2016-05-06T08:24:29+0000',
u'id': u'1233266413_10206694156532564',
u'message': u'http://www.appledaily.com.tw/realtimenews/article/new/20160505/853730/'},
{u'created_time': u'2016-05-05T15:45:04+0000',
u'id': u'1233266413_10206689601938702',
u'message': u'\u5de5\u7a0b\u5e2b Desires \u6709\u5973\u670b\u53cb\n\u5de5\u7a0b\u5e2b \u60f3\u8981 \u6709\u5973\u670b\u53cb\u3002\n\n'},
{u'created_time': u'2016-05-05T14:48:51+0000',
u'id': u'1233266413_10206689256130057',
u'message': u'Artistic Style Transfer for Videos \n'},
{u'created_time': u'2016-05-05T12:17:45+0000',
u'id': u'1233266413_10206688320186659',
u'message': u'https://www.facebook.com/datasci.info/posts/466872603506976?__mref=message_bubble',
u'story': u"Mark Chang shared Learning By Hacking's post."},
{u'created_time': u'2016-05-04T11:38:55+0000',
u'id': u'1233266413_10206681173047985',
u'message': u'http://ww.apple01.net/cat101/node1055196\n\u6211\u53ea\u6709\u505a\u904e\u524d\u9762\u5e7e\u9805\u800c\u5df2...'},
{u'created_time': u'2016-05-04T10:10:11+0000',
u'id': u'1233266413_10206680862800229',
u'message': u'\u53ef\u4ee5\u62ff\u4f86\u5beb\u666e\u5316\u5be6\u9a57\u5831\u544a...',
u'story': u"Mark Chang shared ETtoday\u79d1\u6280\u96f2's video."},
{u'created_time': u'2016-05-04T04:12:54+0000',
u'id': u'1233266413_10206679442884732',
u'story': u"Mark Chang shared Taiwan R User Group's post."},
{u'created_time': u'2016-05-04T02:49:22+0000',
u'id': u'1233266413_10206678929111888',
u'message': u'\u6709\u4eba\u554f\uff1a\u300c\u6211\u6bd4\u8f03\u597d\u5947\u7684\u662f\uff0c\u8eab\u70ba\u7b2c\u4e00\u5b78\u5e9c\u96fb\u8cc7\u9662\uff0c\u4e0d\u662f\u6703\u6709\u59b9\u5b50\u81ea\u5df1\u9760\u904e\u4f86\u55ce\uff1f \u300d\n\u6211\uff1a\u300c\u6211\u9ad8\u4e2d\u6642\u4e00\u76f4\u4ee5\u70ba\u8003\u4e0a\u81fa\u5927\u96fb\u6a5f\u5f8c\u5c31\u6709\u5f88\u591a\u6b63\u59b9\u5012\u8cbc\uff0c\u4f46\u8003\u4e0a\u5f8c\u624d\u77e5\u9053\u6839\u672c\u4e0d\u662f\u9019\u6a23\uff0c\u6240\u4ee5\u59b9\u5b50\u771f\u7684\u4e0d\u6703\u81ea\u5df1\u9760\u904e\u4f86\u7684\uff01\u300d\n----\n\u4e0d\u904e\uff0c\u5012\u662f\u6703\u6709\u4e0d\u5c11\u7375\u4eba\u982d\u7684\u9760\u904e\u4f86\uff0c\u662f\u771f\u7684....'},
{u'created_time': u'2016-05-04T02:39:27+0000',
u'id': u'1233266413_10206678795988560',
u'message': u'http://disp.cc/b/163-9nS4'},
{u'created_time': u'2016-05-03T17:25:14+0000',
u'id': u'1233266413_10206676287205842',
u'message': u'\u665a\u4e0a\u5341\u4e8c\u9ede\u53bb\u9084\u662f\u5f88\u591a\u4eba\n\u8981\u5230\u5341\u4e8c\u9ede\u534a\u4ee5\u5f8c\u4eba\u624d\u6703\u6bd4\u8f03\u5c11',
u'story': u'Mark Chang at \u9ad4\u80b2\u5ba2 1ST Fitness.'},
{u'created_time': u'2016-04-30T10:22:10+0000',
u'id': u'1233266413_10206655286440836',
u'message': u'http://playground.tensorflow.org/\n\u9019\u9084\u633a\u65b9\u4fbf\u7684\n\n\u672c\u4f86\u6b63\u5728\u7169\u60f1\u600e\u9ebc\u7522\u751foverfitting\u548cunderfitting\u7684example\n\u7d50\u679c\u7528\u9019\u500b\u4e00\u4e0b\u5c31\u505a\u51fa\u4f86\uff0c\u4e0d\u9700\u8981\u81ea\u5df1\u53bb\u5bebcode'},
{u'created_time': u'2016-04-30T09:21:11+0000',
u'id': u'1233266413_10206655110956449',
u'message': u'\u7d93\u904e\u8cc7\u5de5\u7cfb\u7cfb\u9928\uff0c\u5c31\u4e0d\u7981\u806f\u60f3\u5230______\u88ab________\u4e86...\u771f\u662f\u89f8\u666f\u751f\u60c5\u3002',
u'story': u'Mark Chang at \u81fa\u5927\u96fb\u6a5f\u4e8c\u9928.'},
{u'created_time': u'2016-04-29T15:22:51+0000',
u'id': u'1233266413_10206649949547417',
u'message': u'Neural Doodle\nhttps://github.com/alexjc/neural-doodle\n\n\u628aNeural Doodle\u7684semantic map\u62ff\u6389\uff0c\u505a\u51fa\u4f86\u7684\u6548\u679c\u5c31\u8ddfCNNMRF\u883b\u7d2f\u4f3c\u7684\nhttps://github.com/chuanli11/CNNMRF'},
{u'created_time': u'2016-04-26T15:58:43+0000',
u'id': u'1233266413_10206631955817585',
u'message': u'https://www.ptt.cc/bbs/Boy-Girl/M.1461604110.A.F46.html'},
{u'created_time': u'2016-04-25T03:30:06+0000',
u'id': u'1233266413_10206622180413206',
u'message': u'http://gitxiv.com/posts/t8f7zsx5TFxLGQcZB/perceptual-losses-for-real-time-style-transfer-and-super'},
{u'created_time': u'2016-04-22T09:12:03+0000',
u'id': u'1233266413_10206602447759902',
u'story': u'Mark Chang shared a link.'},
{u'created_time': u'2016-04-20T11:31:40+0000',
u'id': u'1233266413_10206588669255448',
u'story': u"Mark Chang shared \u9760\u5317\u5de5\u7a0b\u5e2b's post."},
{u'created_time': u'2016-04-18T17:35:55+0000',
u'id': u'1233266413_10206576756197629',
u'message': u'\u9019\u6b21\u6bd4\u8f03\u6df7 \u61f6\u5f97\u81ea\u5df1\u8dd1\u5716 \u76f4\u63a5\u62ffpaper\u4e0a\u7684\u5716\u4f86\u7528\n'},
{u'created_time': u'2016-04-17T14:12:27+0000',
u'id': u'1233266413_10206569063645320',
u'story': u"Mark Chang shared A Ray Wu's post."},
{u'created_time': u'2016-04-16T10:34:46+0000',
u'id': u'1233266413_10206561601058760',
u'story': u"Mark Chang shared \u9760\u5317\u5de5\u7a0b\u5e2b's photo."}],
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Content source: tjwei/class2016
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