[B! numpy] Arahabicaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

Arahabica id:Arahabica

numpyã«é–¢ã™ã‚‹Arahabicaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (6)

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scipy.stats - scipyã®çµ±è¨ˆé–¢æ•°ç¾¤ã®API - keisukeã®ãƒ–ãƒã‚°
scipyã«ã¯statsã¨ã„ã†çµ±è¨ˆé–¢æ•°ã‚’ã¾ã¨ã‚ãŸãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ãŒã‚ã‚Šã¾ã™ï¼Ž statsã«ã¯ã„ã‚ã„ã‚ãªçµ±è¨ˆé–¢æ•°ãŒç”¨æ„ã•ã‚Œã¦ã„ã¾ã™ãŒï¼ŒAPIã¯çµ±ä¸€ã•ã‚Œã¦ã„ã¾ã™ã®ã§ï¼Œãã‚Œã«ã¤ã„ã¦ã¡ã‚‡ã£ã¨ã¾ã¨ã‚ã¦ã¿ã¾ã™ï¼Ž ã©ã‚“ãªçµ±è¨ˆé–¢æ•°ãŒã‚ã‚‹ã®ï¼Ÿ ã‹ãªã‚Šã®ç¨®é¡žãŒã‚ã‚Šï¼Œã™ã¹ã¦ã‚’æ›¸ãã‚ã‘ã«ã¯ã„ã‹ãªã„ã®ã§ï¼Œ å…¬å¼ã®ãƒªãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã¸ã®ãƒªãƒ³ã‚¯ã‚’ç½®ã„ã¦ãŠãã¾ã™ï¼Ž é€£ç¶šç¢ºçŽ‡å¤‰æ•° é›¢æ•£ç¢ºçŽ‡å¤‰æ•° API å„çµ±è¨ˆé–¢æ•°ã¯ï¼Œscipy.stats.hogeã¨ã—ã¦ã‚¢ã‚¯ã‚»ã‚¹ã§ãã¾ã™ï¼Ž ä¾‹ãˆã°ï¼Œæ£è¦åˆ†å¸ƒãªã‚‰ï¼Œscipy.stats.normã§ã™ï¼Ž APIã¯ã™ã¹ã¦ã®çµ±è¨ˆé–¢æ•°ã§å…±é€šãªã®ã§ï¼Œä»¥ä¸‹ã§ã¯æ£è¦åˆ†å¸ƒã®ä¾‹ã‚’ä½¿ã„ã¾ã™ï¼Ž from scipy.stats import norm # æ£è¦åˆ†å¸ƒ rvs (Random variates) ç¢ºçŽ‡å¤‰æ•° x = norm.rvs(loc=0, scale=1, size=1) æœŸå¾…å€¤locï¼Œæ¨™æº–åå·®scaleã®
Arahabica 2017/03/27
numpy
ãƒªãƒ³ã‚¯
pythonã§ãƒ•ã‚¡ã‚¤ãƒŠãƒ³ã‚¹è¨ˆç®— - saitoâ€™s blog
å…ˆæ—¥ä¼šç¤¾ã§é€€è·é‡‘ã®èª¬æ˜Žä¼šãŒã‚ã‚Šã¾ã—ãŸã€‚ãã‚Œã«ã‚ˆã‚‹ã¨é€€è·é‡‘ã®ä¸€éƒ¨ã‚’ç¢ºå®šæ‹ å‡ºå¹´é‡‘ã¨ã—ã¦è‡ªåˆ†ã§é‹ç”¨ã—ãªãã¦ã¯ã„ã‘ãªã„ã¨ã®ã“ã¨ã§ã€ãƒãƒ¼ãƒˆãƒ•ã‚©ãƒªã‚ªã‚’è¨è¨ˆã™ã‚‹å¿…è¦ã‚ã‚Šã¾ã™ã€‚ä»Šæ™‚ã¯å„ç¨®é‡‘èžæ©Ÿé–¢ãŒãƒãƒ¼ãƒˆãƒ•ã‚©ãƒªã‚ªã®ã‚·ãƒŸãƒ¥ãƒ¬ãƒ¼ã‚¿ãƒ¼ã‚’å…¬é–‹ã—ã¦ã„ã¾ã™ã—ã€Excelã‚’ä½¿ã£ã¦è¨ˆç®—ã™ã‚‹ã¨ã„ã†æ–¹æ³•ã‚‚ã‚ã‚Šã¾ã™ãŒã€ã“ã“ã§ã¯ä¾‹ã«ã‚ˆã£ã¦pythonã§ãƒãƒ¼ãƒˆãƒ•ã‚©ãƒªã‚ªã®è¨è¨ˆã‚’ã‚„ã£ã¦ã¿ã¾ã™ã€‚ å®Ÿã¯ã€pythonã«ã¯numpyã‚„scipyã¨ã„ã£ãŸç§‘å¦è¨ˆç®—ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚„cvxoptã¨ã„ã†æœ€é©åŒ–è¨ˆç®—ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªãŒã‚ã‚‹ã®ã§ã€ãã‚Œã‚‰ã‚’åˆ©ç”¨ã™ã‚Œã°ç°¡å˜ã‹ã¤é«˜é€Ÿã«æœ€é©ãªãƒãƒ¼ãƒˆãƒ•ã‚©ãƒªã‚ªã‚’è¨ˆç®—ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ ã¡ãªã¿ã«ã€åƒ•ã¯ãƒ•ã‚¡ã‚¤ãƒŠãƒ³ã‚¹ç†è«–ã®å°‚é–€å®¶ã§ã¯ãªã„ã®ã§ã€ã“ã“ã«æ›¸ã„ã¦ã‚ã‚‹è¨˜è¿°ãŒæ£ç¢ºã§ã‚ã‚‹ã¨ã„ã†ä¿è¨¼ã¯ã§ãã¾ã›ã‚“ã€‚ã‚ã—ã‹ã‚‰ãšã€‚ åˆ†æ•£å…±åˆ†æ•£è¡Œåˆ—ã‚’è¨ˆç®—ã™ã‚‹ å„æŠ•è³‡å¯¾è±¡ã®ãƒªã‚¹ã‚¯ã¨æŠ•è³‡å¯¾è±¡åŒå£«ã®ç›¸é–¢ä¿‚æ•°ãŒåˆ†ã‹ã£ã¦ã„ã‚‹ãªã‚‰ã°ã€åˆ†æ•£å…±åˆ†æ•£è¡Œåˆ—ã¯è¡Œåˆ—è¨ˆç®—ã§è¨ˆç®—ã§
Arahabica 2017/02/04
numpy
ãƒªãƒ³ã‚¯
numpyã®1d-arrayã‚’2d-arrayã«å¤‰æ› - keisukeã®ãƒ–ãƒã‚°
è¶…åŸºæœ¬çš„ã ã‘ã©æ¯Žå›žå¾®å¦™ã«ã‚€ã‹ã¤ãã®ã§æ•´ç†ã™ã‚‹ãŸã‚ã«ãƒ¡ãƒ¢ï¼Ž numpyã¯ãƒ™ã‚¯ãƒˆãƒ«ã¨è¡Œåˆ—ã‚’åˆ†ã‘ã¦ã„ã‚‹ã®ã§*1ï¼Œãƒ™ã‚¯ãƒˆãƒ«ã®è»¢ç½®ãŒå–ã‚Œãªãã¦å›°ã‚‹ï¼Ž næ¬¡å…ƒãƒ™ã‚¯ãƒˆãƒ«xã¯ï¼Œnumpyã§ã¯è¡Œãƒ™ã‚¯ãƒˆãƒ«ã§ã‚‚åˆ—ãƒ™ã‚¯ãƒˆãƒ«ã§ã‚‚ãªã„ï¼Žå˜ã«næ¬¡å…ƒãƒ™ã‚¯ãƒˆãƒ«ï¼Ž ã ã‹ã‚‰x.transpose()ã—ã¦ã‚‚ãªã«ã‚‚èµ·ããªã„ï¼Žãƒ™ã‚¯ãƒˆãƒ«ã«transpose()ã—ãŸã‚‰ã‚¨ãƒ©ãƒ¼æŠ•ã’ã¦æ¬²ã—ã„ï¼Ž æ˜Žç¤ºçš„ã«è¡Œãƒ™ã‚¯ãƒˆãƒ«ã‚„åˆ—ãƒ™ã‚¯ãƒˆãƒ«ã«ã™ã‚‹ã¨ãã¯ï¼Œè¡Œãƒ™ã‚¯ãƒˆãƒ«ãªã‚‰1xnè¡Œåˆ—ï¼Œåˆ—ãƒ™ã‚¯ãƒˆãƒ«ãªã‚‰nx1è¡Œåˆ—ã‚’ä½œã‚‹å¿…è¦ãŒã‚ã‚‹ï¼Ž næ¬¡å…ƒãƒ™ã‚¯ãƒˆãƒ«xã‹ã‚‰è¡Œãƒ™ã‚¯ãƒˆãƒ«(æ¨ªãƒ™ã‚¯ãƒˆãƒ«)ã‚’ä½œã‚‹ã¨ãã¯ï¼Œx.reshape(1, n)ï¼Ž åˆ—ãƒ™ã‚¯ãƒˆãƒ«(ç¸¦ãƒ™ã‚¯ãƒˆãƒ«)ã‚’ä½œã‚‹ã¨ãã¯ï¼Œx.reshape(n, 1)ï¼Ž x.reshape(-1, n)ã§ã‚‚å•é¡Œãªã„ï¼Žreshapeã§ã¯tupleã®è¦ç´ ã«ã²ã¨ã¤ã ã‘-1ã‚’æŒ‡å®šã§ãã‚‹ï¼Ž-1ã‚’æŒ‡å®šã•ã‚ŒãŸæ¬¡å…ƒã¯ï¼Œä»–ã®æ˜Žç¤ºçš„ã«æŒ‡å®šã—ãŸæ¬¡å…ƒã¨å…ƒã®ãƒ™ã‚¯ãƒˆãƒ«ã®é•·ã•
Arahabica 2017/02/03
numpy
ãƒªãƒ³ã‚¯
é«˜é€Ÿæ•°å€¤è¨ˆç®—ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€ŒNumpyã€è¦šæ›¸ã - Pashangoâ€™s Blog
Pythonã§ä¸€ç•ªæœ‰åã§æ™®åŠã—ã¦ã„ã‚‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã¨è¨€ã£ã¦ã‚‚éŽè¨€ã§ã¯ãªã„ã€ŒNumpyã€ã®è¦šæ›¸ãã§ã™ã€‚ã‹ãªã‚Šå¤šæ©Ÿèƒ½ãªæ•°å€¤è¨ˆç®—ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã€å†…éƒ¨ã¯Cè¨€èªžã§è¨˜è¿°ã•ã‚Œã¦ã„ã‚‹ãŸã‚è¶…é«˜é€Ÿã«å‹•ä½œã—ã¾ã™ã€‚ ãƒ™ã‚¯ãƒˆãƒ« ãƒ™ã‚¯ãƒˆãƒ«ã®é•·ã•ï¼†æ£è¦åŒ– import numpy a = numpy.array([[2,2]]) #ãƒ™ã‚¯ãƒˆãƒ«ã®é•·ã• length = numpy.linalg.norm(a) #length=>2.8284271247461903 #ãƒ™ã‚¯ãƒˆãƒ«ã®æ£è¦åŒ– a / numpy.linalg.norm(a) #=>array([[ 0.70710678, 0.70710678]]) å†…ç©ï¼†å¤–ç© import numpy v1 = numpy.array((1,0,0)) v2 = numpy.array((0,1,0)) #å†…ç© numpy.dot(v1,v2) #=> 0 #å¤–ç© numpy.cros
Arahabica 2017/02/02
numpy

Python
ãƒªãƒ³ã‚¯
scipy.optimize.minimizeã«ãŠã‘ã‚‹constraintsã‚ªãƒ—ã‚·ãƒ§ãƒ³ã®ä¸Žãˆæ–¹ã¨æ„å‘³ã«ã¤ã„ã¦ - Qiita
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Arahabica 2017/01/20
numpy
ãƒªãƒ³ã‚¯
1