[python][twitter] リストã¸ãƒ¦ãƒ¼ã‚¶ã‚’è¿½åŠ - tetsunosukeã®notebook
@shumai ãŒã“ã‚“ãªã“ã¨ã§ãるアプリã¯ãªã„ã®ã‹ãªï¼Ÿã¨æ›¸ã„ã¦ã„ãŸã®ã§ã€botã¤ãã‚ã†ä¼šã®ãƒ¡ãƒ³ãƒãƒ¼ãªã‚‰ä½œã‚Œã°ã‚ˆãã？ã£ã¦è©±ã‚’ã—ãŸã®ã§ã€tweepyã‚’æ–°ã—ãã—ã¦æ›¸ã„ãŸã€‚ å‰åŠã¯åŸºæœ¬çš„ãªOAuthã®ã¨ã“ã‚ãªã®ã§ã€ã™ã‚‰ã™ã‚‰ã¨ã€‚ 後åŠã«ã€ãƒ¦ãƒ¼ã‚¶IDをリストã§æ¸¡ã—ã¦ã€å˜ç´”ã«ãƒ«ãƒ¼ãƒ—。 実際ã«ä½¿ã£ã¦ã„ã‚‹APIã¯ã€POST list members（http://apiwiki.twitter.com/w/page/22554728/Twitter-REST-API-Method:-POST-list-members）ã«ãªã‚‹ã€‚ # -*- coding:utf8 -*- """http://dev.twitter.com/ã«ã‚¢ã‚¯ã‚»ã‚¹ã—よã†""" # view your applications ã‹ã‚‰é¸æŠž http://dev.twitter.com/apps/<num> consumer_key = 'T
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Python: setåž‹ã®é›†åˆæ¼”ç®—ã§2ã¤ã®ãƒªã‚¹ãƒˆè¦ç´ を比較
2ã¤ã®ãƒªã‚¹ãƒˆã®è¦ç´ を比較ã™ã‚‹éš›ã€ãƒªã‚¹ãƒˆåž‹ã‚’setåž‹ã«å¤‰ãˆã‚‹ã¨ã€Œ-ã€ã€Œ&ã€ãªã©ã®æ¼”ç®—å1ã¤ã§é›†åˆæ¼”ç®—ã§ãã¾ã™(ANDã€ORã€NOTã¨ã‹)。 ソースコード #!/usr/bin/python # coding: UTF-8 # リストã®æ¯”較(by 集åˆæ¼”ç®—) old_list = ['A', 'B', 'C', 'D', 'E', 'F'] # å¤ã„リスト new_list = ['A', 'C', 'F', 'G', 'H', 'I'] # æ›´æ–°ã•ã‚ŒãŸæ–°ã—ã„リストã€ã¨ã™ã‚‹ # 組ã¿è¾¼ã¿é–¢æ•°set()を用ã„ã¦(リストをå«ã‚€)シーケンス型ã‹ã‚‰setåž‹ãƒ‡ãƒ¼ã‚¿ã‚’ä½œæˆ old_set = set(old_list) new_set = set(new_list) print 'old_set ==', old_set print 'new_set ==', new_set # 差集åˆ: old_set
æœ€çŸ Twitter bot OAuth化対応 (Pythonç·¨) - reppets.log
Twitterã¯2010/06/30ã¾ã§ã§BASICèªè¨¼ã¸ã®å¯¾å¿œã‚’終了ã—ã¦ã—ã¾ã„ã¾ã™ã€‚ãã®ãŸã‚æ—¢å˜ã®botã‚‚OAuth対応ãŒå¿…è¦ã§ã™ã€‚ã“ã“ã«ãã¦OAuth対応をã™ã‚‹ãŸã‚ã«ã€ã„ã¡ã„ã¡OAuthã®ä»•çµ„ã¿ã‚„ら何やらを調ã¹ã¦ã„る暇ãŒãªã„æ–¹ã«ã€æœ€çŸæ‰‹é †ã§botã‚’OAuth対応ã•ã›ã‚‹æ–¹æ³•ã‚’ã”紹介ã—ã¾ã™(※ python-twitterãªã©ã®ãƒ©ã‚¤ãƒ–ラリãŒOAuth対応ã—ã¦ã„ãªã„å ´åˆã«ã¤ã„ã¦ã¯è€ƒæ…®ã—ã¦ã„ã¾ã›ã‚“。ã”ã‚ã‚“ãªã•ã„)。 アプリケーションã®ç™»éŒ² OAuthを使用ã™ã‚‹å ´åˆã¯ã€äº‹å‰ã«ã‚¢ãƒ—リケーションをTwitterã«ç™»éŒ²ã—ã¦ãŠãå¿…è¦ãŒã‚ã‚Šã¾ã™ã€‚登録ã¯ä»¥ä¸‹ã®æ‰‹é †ã§è¡Œã„ã¾ã™ã€‚ Twitterã«ãƒã‚°ã‚¤ãƒ³ã—ã¦ãŠã。作者自身ã®ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã§ã‚‚botã®ã‚¢ã‚«ã‚¦ãƒ³ãƒˆã§ã‚‚ã©ã¡ã‚‰ã§ã‚‚よã„ã§ã™ã€‚ http://twitter.com/oauth_clients ã«ã‚¢ã‚¯ã‚»ã‚¹ã€‚ 「新ã—ã„ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’è¿½åŠ ã€ã™ã‚‹ã€‚ å¿…é ˆé …ç›®ã‚’åŸ‹
Matplotlib - Numerical Analysis with Python
Matplotlib †Pythonã«ã‚ˆã‚‹ã‚°ãƒ©ãƒ•ä½œæˆã¨æ•°å€¤è§£æžãƒ©ã‚¤ãƒ–ラリ。 ã©ã†ã‚„らMatlabã£ã½ã„ã‚‚ã®ã‚’作ã‚ã†ã¨ã—ã¦ã„る模様。 （Matlabを使ã£ãŸã“ã¨ç„¡ã„ã®ã§åˆ†ã‹ã‚Šã¾ã›ã‚“ãŒï¼‰ ↑ è¨å®š †${HOME}/.matplotlib/matplotlibrcãŒè¨å®šãƒ•ã‚¡ã‚¤ãƒ«ã€‚（å¤ã„ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã¯${HOME}/.matplotlibrcã ã£ãŸã®ã§æ³¨æ„） ã¨ã‚Šã‚ãˆãšæœ€åˆã«è¨å®šã™ã‚‹ã®ã¯ backend æç”»ã«ä½¿ã†ãƒ©ã‚¤ãƒ–ラリã®æŒ‡å®šã€‚TkAgg?ã¨ã‹ã€‚ numerix Numeric, numarray, numpyã®ã©ã‚Œã‹ã‚’指定ã™ã‚‹ã€‚ ↑ plot †ã¨ã‚Šã‚ãˆãšè‰²ã€…プãƒãƒƒãƒˆã—ã¦ã¿ã‚‹ã“ã¨ã«ã€‚ >>> x = arange(0.0, 5.0, 0.1) # x, yãã‚Œãžã‚Œã® >>> y = exp(-x**2) # é…列を作る >>> plot(x, y) ã¨ã™ã‚‹ã¨ã“ã‚“ãªã‚°ãƒ©
ファイルæ“作 - ã²ãメモ
ファイルを開ãã€èªã¿è¾¼ã‚€ã€æ›¸ã込む f1 = f2 = None try: f1 = open("in.txt", "r") # èªã¿è¾¼ã¿ãƒ¢ãƒ¼ãƒ‰ã§ãƒ•ã‚¡ã‚¤ãƒ«ã‚’é–‹ã f2 = open("out.txt", "w") # æ–°è¦æ›¸ãè¾¼ã¿ãƒ¢ãƒ¼ãƒ‰ã§ãƒ•ã‚¡ã‚¤ãƒ«ã‚’é–‹ã data = f1.read(100) # 100ãƒã‚¤ãƒˆåˆ†ã®ãƒ‡ãƒ¼ã‚¿ã‚’èªã¿è¾¼ã‚€ data += f1.read() # 残りã®ãƒ‡ãƒ¼ã‚¿ã‚’å…¨ã¦èªã¿è¾¼ã‚€ f2.write(data) # データをファイルã«æ›¸ã込む except IOError, inst: print inst finally: if f1: f1.close() # ファイルを閉ã˜ã‚‹ if f2: f2.close() ファイルを1è¡Œãšã¤èªã¿è¾¼ã‚€ ãã®1 f = open("in.txt", "r") for line in f: # データを1è¡Œãšã¤èªã¿è¾¼ã‚€ print li
ãŸã“焼ã食ã¹ãŸ.net
pickleモジュールを使ã†ã¨ã€Pythonã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ （タプルã¨ã‹ãƒªã‚¹ãƒˆã¨ã‹ã‚¯ãƒ©ã‚¹ã®ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã¨ã‹ï¼‰ã‚’ä¿å˜ã§ãã¾ã™ã€‚ pickle化ãŒPythonã®ã‚ªãƒ–ジェクトをãƒã‚¤ãƒˆåˆ—ã«å¤‰æ›ã™ã‚‹ã“ã¨ã€éžpickle化ã¯ãã®é€†ã‚’指ã—ã¾ã™ã€‚ Pickle化 dumpを使ã„ã¾ã™ã€‚ dump(オブジェクト, ファイルオブジェクト) 第二引数ã¯open(ファイルå)ã¨ã„ã£ãŸæ„Ÿã˜ã§é–‹ã„ãŸãƒ•ã‚¡ã‚¤ãƒ«ã‚ªãƒ–ジェクトを渡ã—ã¦ãã ã•ã„。 ãªãŠã€dumpsを使ã†ã¨ã€ãƒ•ã‚¡ã‚¤ãƒ«ã«æ›¸ãè¾¼ã¾ãšã«æ–‡å—列ãŒè¿”ã•ã‚Œã¾ã™ã€‚ éžPickle化 loadを使ã„ã¾ã™ã€‚ load(ファイルオブジェクト） ã“ã¡ã‚‰ã‚‚ã€é–‹ã‹ã‚ŒãŸãƒ•ã‚¡ã‚¤ãƒ«ã‚ªãƒ–ジェクトを渡ã™ã‚ˆã†ã«ã—ã¾ã™ã€‚ ãªãŠã€dumpsã§ä½œã£ãŸæ–‡å—列をèªã¿è¾¼ã‚€ã«ã¯loadsを使ã„ã¾ã™ã€‚ 例 クラスã®ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã‚’ä¿å˜ã—ã¦ã€èªã¿ã ã—ã¦ã„ã¾ã™ã€‚ ã“ã“ã§ã¯ã‚¯ãƒ©ã‚¹ã‚¤ãƒ³ã‚¹ã‚¿ãƒ³ã‚¹ã‚’pickle化ã—ã¦ã¾ã™ãŒã€ä»–ã®ãƒ‡ãƒ¼ã‚¿
Pythonã®UnicodeEncodeErrorを知る - HDEラボ
Pythonã«ã¯ã˜ã‚ã¦è§¦ã£ã¦ã€ã„ã¤ã®ã¾ã«ã‹1å¹´ãŒéŽãŽãŸã®ã§ã™ãŒã€ä¸€ç•ªã¯ã¾ã£ãŸã®ã¯ã€ã‚„ã£ã±ã‚Šunicodeã®æ‰±ã„ã ã£ãŸã¨æ€ã„ã¾ã™ã€‚ 特ã«ã€ UnicodeEncodeError: 'ascii' codec can't encode characters in position 0-12: ordinal not in range(128) ã®ã‚ˆã†ãªã‚¨ãƒ©ãƒ¼ã«ã¯ã•ã‚“ã–ã‚“æ‚©ã¾ã•ã‚Œã¾ã—ãŸã€‚ã“ã“ãŒãŸã¨ãˆã°rubyãªã©ä»–ã®è¨€èªžã¨æ¯”ã¹ã¦ã‚ã‹ã‚Šã«ãã„ãŸã‚ã«ã€PythonãŒå–ã£ã¤ãã«ãã„言語ã«ãªã£ã¦ã„ã‚‹ã®ã§ã¯ãªã„ã‹ã€ã¨å€‹äººçš„ã«ã¯æ€ã„ã¾ã™ã€‚ ãã“ã§ã€ã“ã®ã‚¨ãƒ©ãƒ¼ã«é–¢ä¿‚ã™ã‚‹ã¯ã¾ã‚Šã©ã“ã‚ã¨Tipsã‚’ã„ãã¤ã‹åˆ—挙ã—ã¦ã¿ã¾ã—ãŸã€‚ã“ã‚Œã‹ã‚‰Pythonã«è§¦ã‚Œã‚‰ã‚Œã‚‹æ–¹ã®å‚考ã«ãªã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ ãªãŠã€ç’°å¢ƒã¯UNIX上ã®Python 2.4, 2.5を想定ã—ã¦ã„ã¾ã™ã€‚ u1ã¯unicodeåž‹ã§ã€s1ã¯stråž‹ã§ã™ã€‚s1ã«ã©ã®ã‚ˆ
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matplotlibã®ç·šã®è‰²ã€ç·šç¨®ã€ç·šå¹…ã®æŒ‡å®šæ–¹æ³•ã‚’記ã—ã¦ãŠã。 ç·šã®è‰²ã¯plot上ã§ã€é’ãªã‚‰"b"ã€ç·‘ãªã‚‰"g"ã®ã‚ˆã†ã«æŒ‡å®šã™ã‚‹ã€‚ã“ã“ã§ã¯ã€ç™½ã„線を見ã›ã‚‹ãŸã‚ã«èƒŒæ™¯ã‚’ç°è‰²ã«ã—ã¦ã„る。 以下ã€å›³ã®ä½œæˆã«ä½¿ã£ãŸã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã€‚ from pylab import * axes(axisbg="#777777") # 背景をç°è‰²ã«. x = arange(-20, 20, 0.3) plot(x+1, x, "b") # é’. plot(x+2, x, "g") # ç·‘. plot(x+3, x, "r") # 赤. plot(x+4, x, "c") # シアン. plot(x+5, x, "m") # マゼンタ. plot(x+6, x, "y") # 黄. plot(x+7, x, "k") # é»’. plot(x+8, x, "w") # 白. plot(x+9, x, color="#
よãã‚るエラー - 西尾泰和ã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
åˆå¿ƒè€…ãŒå‡ºã—ãŒã¡ãªã‚¨ãƒ©ãƒ¼ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã«é–¢ã—ã¦ã€ã‚¨ãƒ©ãƒ¼ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãŒè‹±èªžã ã‹ã‚‰ã¨èªã¾ãšã«é£›ã°ã™äººãŒå¤šã„ã‹ã¨æ€ã£ã¦å’Œè¨³ã‚’Jython本ã«æ›¸ã„ã¦ã„ãŸã‚“ã ã‘ã©ã€ã©ã†ã›ãªã‚‰ã“ã“ã§å…¬é–‹ã—ã¦ä»–ã«é™¥ã‚ŠãŒã¡ãªã‚¨ãƒ©ãƒ¼ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã®æƒ…å ±ã‚’é›†ã‚ãŸæ–¹ãŒã„ã„ã‚“ã˜ã‚ƒãªã„ã‹ã¨æ€ã£ãŸã€‚ "__add__ nor __radd__ defined for these operands"「ãã®è¨ˆç®—ã®å¯¾è±¡ã«ã—ã¦ã„るオブジェクトã«ã¯__add__ã‚‚__radd__も定義ã•ã‚Œã¦ã„ãªã„よ(足ã—ç®—ãŒå®šç¾©ã•ã‚Œã¦ã„ãªã„よ)ã€â†’æ•°ãŒå…¥ã£ã¦ã„ã‚‹ã¤ã‚‚ã‚Šã®å¤‰æ•°ã«NoneãŒå…¥ã£ã¦ã„ãŸã‚Šã™ã‚‹ã¨ã‹ã‚ã‚ŠãŒã¡ã€‚æ•°ã‚’è¿”ã™ã¯ãšã®é–¢æ•°ãŒreturnã—ã‚ã™ã‚Œã§Noneã‚’è¿”ã™ã¨ã‹ã€‚ "global name 'x' is not defined"「'x'ã¨ã„ã†åå‰ã®å¤‰æ•°ãŒ(ã‚°ãƒãƒ¼ãƒãƒ«ã¾ã§æŽ¢ã—ã«è¡Œã£ãŸã‘ã©)見ã¤ã‹ã‚‰ãªã‹ã£ãŸã‚ˆï¼ã¤ã¥ã‚Šé–“é•ã£ã¦ãªã„？〠"NameError: n
Usage — Matplotlib 2.0.2 documentation
General Concepts¶ matplotlib has an extensive codebase that can be daunting to many new users. However, most of matplotlib can be understood with a fairly simple conceptual framework and knowledge of a few important points. Plotting requires action on a range of levels, from the most general (e.g., ‘contour this 2-D array’) to the most specific (e.g., ‘color this screen pixel red’). The purpose of
PEP 8 – Style Guide for Python Code | peps.python.org
PEP 8 – Style Guide for Python Code Author: Guido van Rossum <guido at python.org>, Barry Warsaw <barry at python.org>, Alyssa Coghlan <ncoghlan at gmail.com> Status: Active Type: Process Created: 05-Jul-2001 Post-History: 05-Jul-2001, 01-Aug-2013 Table of Contents Introduction A Foolish Consistency is the Hobgoblin of Little Minds Code Lay-out Indentation Tabs or Spaces? Maximum Line Length Shoul
Pythonã®é‡è¦ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«50個 - ctrlshiftã®æ—¥è¨˜
海外ã®ã‚µã‚¤ãƒˆã§ã€ã€ŒPython: 50 modules for all needsã€ã¨ã„ã†è¨˜äº‹ãŒã‚ã‚Šã¾ã—ãŸã®ã§ã€ã¡ã‚‡ã£ã¨æ³¨ç›®ã—ã¦ã¿ã¾ã—ãŸã€‚ Pythonã§ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚’è¡Œã†ã¨ãã«å¤§å¤‰é‡å®ã™ã‚‹ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ã€50個もリストアップã—ã¦ã„ã¾ã™ã€‚ 便利ãªãƒ©ã‚¤ãƒ–ラリやモジュールã¯ã€ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢å®Œæˆã®å¾ŒæŠ¼ã—ã‚’ã—ã¦ãれるã®ã§ã€ãŸãã•ã‚“使ã£ã¦åŠ¹çŽ‡è‰¯ãプãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã§ãã‚‹ã¨ã„ã„ã§ã™ã。 知らãªã„モジュールãŒã‚ã£ãŸãªã‚‰ã€ä¸€ã¤ä¸€ã¤è¦‹ã¦ã¿ã¦ã‚‚楽ã—ã„ã§ã™ã。 Graphical interface - wxPython Graphical interface - pyGtk Graphical interface - pyQT Graphical interface - Pmw Graphical interface - Tkinter 3000 Graphical interface - Tix Database
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Mac OS X Python Packages for Universal Python 2.4 on Mac OS X 10.3.9 and later (Intel and PPC)
matplotlib matplotlib-0.91.1-py2.5-macosx10.4-2007-12-04.dmg (MD5: f7d4a1727192a155f54f33a7237cb852) numarray numarray-1.5.2-py2.5-macosx10.4-2007-01-30.dmg (MD5: 0ff4194a398f21b55286ba7f648d5f7b) Numeric Numeric-24.2-py2.5-macosx10.4.dmg (MD5: ee3f8efd086fbf6b46ce5e85be747dab) numpy numpy-1.0.4-py2.5-macosx10.4-2007-11-07.dmg (MD5: f35f679b7b64ef984e3a4eeb56a26657) PIL PIL-1.1.6-py2.5-macosx10.4-
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