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Gln 2014/03/18
Matplotlib

python

math
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Gln 2014/02/04
python

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ãƒ‘ã‚¿ãƒ¼ãƒ³èªè˜

Matplotlib

numpy

image
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Python for Data Analysisã¯pandas: The Definitive Guide
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Gln 2013/03/26
Python

pandas

matplotlib
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Mac OSX 10.8ã«matplotlibã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹
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Gln 2013/03/20
Matplotlib

numpy

scipy

python
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Scipy Lecture Notes â€” Scipy lecture notes
One document to learn numerics, science, and data with PythonÂ¶ Tutorials on the scientific Python ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.
Gln 2012/02/25
python

numpy

scipy

Science

matplotlib
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Google Code Archive - Long-term storage for Google Code Project Hosting.
Code Archive Skip to content Google About Google Privacy Terms
Gln 2011/11/26
python

SVG

graph

Matplotlib

package

chart
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ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†ã®ãŠçŸ¥ã‚‰ã›
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Gln 2011/06/11
python

Matplotlib

graph
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Matplotlib ãã® 1 | Kenji Sato
ã“ã“ã§ã¯ï¼Œå¼·åŠ›ãªãƒ—ãƒãƒƒãƒˆãƒ„ãƒ¼ãƒ« matplotlib ã‚’ä½¿ã£ã¦2æ¬¡å…ƒãƒ—ãƒãƒƒãƒˆã«ã¤ã„ã¦å¦ã³ã¾ã™ï¼Žãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ãŠã‚ˆã³ãƒžãƒ‹ãƒ¥ã‚¢ãƒ«ã¯ï¼Œã“ã¡ã‚‰ã¸ã©ã†ãžã€€â†’ã€€http://matplotlib.sourceforge.net/ matplotlib.pyplot ã«è¦ªã—ã‚€ matplotlib ã§ã¯ pylab ã¨ã„ã†ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ä½¿ã£ãŸç°¡ä¾¿ãªï¼ˆMatlabãƒ©ã‚¤ã‚¯ãªï¼‰ãƒ—ãƒãƒƒãƒˆæ–¹æ³•ãŒç”¨æ„ã•ã‚Œã¦ã„ã¾ã™ãŒï¼Œã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆæŒ‡å‘çš„ãªè¨˜æ³•ãŒæŽ¨å¥¨ã•ã‚Œã¦ã„ã¾ã™ï¼Žã“ã¡ã‚‰ã‚’ä½¿ã†ã«ã¯ï¼Œmatplotlib.pyplot ã‚’ã‚¤ãƒ³ãƒãƒ¼ãƒˆã—ã¦ã‚„ã‚Šã¾ã™ï¼Ž ä»¥ä¸‹ã§ã¯ï¼Œå®Ÿç”¨ä¸Šå¿…è¦ã«ãªã‚Šãã†ãªæ‰‹æ³•ã‚’ã„ãã¤ã‹å…·ä½“ä¾‹ã‚’é€šã—ã¦å¦ã‚“ã§ã„ãã¾ã™ï¼Ž é–¢æ•°ã®ãƒ—ãƒãƒƒãƒˆ ã¾ãšã¯æ™®é€šã®é–¢æ•°ã®ãƒ—ãƒãƒƒãƒˆã‹ã‚‰ï¼ŽçŸ©å½¢æ³¢ã¨ãã®ä¸‰è§’è¿‘ä¼¼ã‚’ãƒ—ãƒãƒƒãƒˆã—ã¾ã™ï¼Žç´°ã‹ã„æ–¹æ³•ã¯ã‚¹ã‚¯ãƒªãƒ—ãƒˆå†…ã®ã‚³ãƒ¡ãƒ³ãƒˆã‚’å‚ç…§ã—ã¦ãã ã•ã„ï¼Ž #!/usr/bin/env python # -*- codi
Gln 2011/05/28
Matplotlib

python
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Pylabã§ãƒ‡ãƒ¼ã‚¿ã®å›³ã‚’ãƒ—ãƒãƒƒãƒˆ
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Gln 2011/05/28
Matplotlib

python
ãƒªãƒ³ã‚¯
Matplotlibã®ãƒ¡ãƒ¢ (Pylab) - æ—§â€Seiâ€™s Insight @ ã‚¹ã‚¿ãƒ³ãƒ•ã‚©ãƒ¼ãƒ‰å¤§å¦å¤§å¦é™¢ èˆªç©ºå®‡å®™å·¥å¦ç§‘ in ã‚·ãƒªã‚³ãƒ³ãƒãƒ¬ãƒ¼â€ ã¯ã€http://www.seihiguchi.com/jp/ ã¸å¼•è¶Šã¾ã—ãŸï¼
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Gln 2011/05/28
python

Matplotlib
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Gln 2011/05/28
matplotlib

mathematics

python
ãƒªãƒ³ã‚¯
matplotlibã§3æ¬¡å…ƒãƒ—ãƒãƒƒãƒˆ
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Gln 2010/03/11
matplotlib

3D
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matplotlibã‚’ä½¿ã†ãªã‚‰å‚ç…§ã›ãšã«ã¯ã„ã‚‰ã‚Œãªã„matplotlibã®ã‚µã‚¤ãƒˆã«ã‚ã‚‹ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã§ã™ãŒã€ä»Šæ—¥ã‚‚ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã‚’æŽ¢ç´¢ã—ã¦ãŸã‚‰ã€Howtoã¨ã„ã†è¨˜äº‹ã‚’è¦‹ã¤ã‘ã¾ã—ãŸã€‚èªã‚“ã§ã¿ã‚‹ã¨æ°—ã«ãªã‚‹é …ç›®ãŒã€‚ã¡ã‚‡ã£ã¨ãƒ¡ãƒ¢ã—ã¦ãŠãã¾ã™ã€‚ Make a movieï¼ˆå‹•ç”»ã®ä½œã‚Šæ–¹ï¼‰ matplotlibã§ã¯å‡ºæ¥ãªã„ã¨æ€ã£ã¦ã¾ã—ãŸã€‚ã©ã†ã‚„ã£ã¦ä½œã‚‹ã‚“ã§ã—ã‚‡ã†ã‹ã€‚ If you want to take an animated plot and turn it into a movie, the best approach is to save a series of image files (eg PNG) and use an external tool to convert them to a movie. ã–ã£ãã‚Šè¨€ã†ã¨ã€ã€ŒPNGã‚’ã„ã£ã±ã„ä½œã£ã¦ã€å¤–éƒ¨ã®ã‚½ãƒ•ãƒˆã§å‹•ç”»ã«å¤‰æ›ã—ã¦ãã ã•ã„ã€ã£ã¦ã“ã¨ã§ã™
Gln 2010/03/11
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matplotlib

python
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matplotlibã§æ•£å¸ƒå›³ã‚’ä½œæˆ - ã‚·ã‚³ã‚¦ã‚µã‚¯ã‚´ï¼ˆï¼‰
æ•£å¸ƒå›³ã‚’æç”»ã—ã¦ã»ã—ã„ã¨ã®æŒ‡ç¤ºãŒã€‚ã—ã‹ã‚‚ã€è¦æ±‚ãŒå¤šã‹ã£ãŸã®ã§ï¼ˆè‰²åˆ†ã‘ãªã©ãªã©ï¼‰ã€å…¼ãã¦ã‹ã‚‰ä½¿ã„ãŸã‹ã£ãŸmatplotlibã‚’ä½¿ã£ã¦ä½œã£ã¦ã¿ãŸã€‚matplotlibã®ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã€ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã€ä½¿ã„æ–¹ãªã©ã¯ Matplotlib: Python plotting â€” Matplotlib 3.1.0 documentation ã‚’å‚ç…§ã—ã¦ãã ã•ã„ã€‚ ä½œã£ãŸæ•£å¸ƒå›³ã¯ã“ã¡ã‚‰â†“ ä»Šå›žã¯ã€windowsã§å‹•ã‹ã—ã¾ã—ãŸã€‚æ™®æ®µã¯ã‚µãƒ¼ãƒãƒ¼ä¸Šã§pythonã‚’å‹•ã‹ã™ãŸã‚ã«CUIãŒå¤šã„ã®ã§ã€matplotlibã®GUIã«ã¡ã‚‡ã£ã¨é©šãã¾ã—ãŸã€‚ ã‚½ãƒ¼ã‚¹ã¯ä»¥ä¸‹ã€‚ # encoding=UTF-8 from matplotlib.pyplot import *; C = 4; # ã‚¯ãƒ©ã‚¹æ•° f = open("data.csv"); # xåº§æ¨™,yåº§æ¨™,è‰²ã‚’æ±ºã‚ã‚‹æ•°å€¤ã€€ã®ãƒ‡ãƒ¼ã‚¿ datas = f.readlines(
Gln 2010/03/11
matplotlib

python
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å›žå¸°ç›´ç·šã‚’Pythonã¨Matplotlibã§æã - necoffeeã®ã«ã£ã
ï¼’ã¤ã®ãƒªã‚¹ãƒˆã®è¦ç´ ã‹ã‚‰å›žå¸°ç›´ç·šã‚’å°Žå‡ºã—ã¦ã€Matplotlibã§ãƒ—ãƒãƒƒãƒˆã™ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’Pythonã§æ›¸ã„ã¦ã¿ãŸã€‚ãŸã¶ã‚“ã¸ã‚“ã¦ã“ãªãƒ—ãƒã‚°ãƒ©ãƒ ã ã¨æ€ã†ã‘ã©ã€æ°—ã«ã—ãªã„ã€‚ â€» è¿½è¨˜ sum = 0 lst = [1, 2, 3] for i in lst: sum += i ã®ã‚ˆã†ãªã“ã¨ã‚„ã£ã¦ã‚‹ã‘ã©ã€sum(lst)ã§ã‚ˆã‹ã£ãŸãã€‚ from pylab import * def meanList(lst): """ return the mean of lst """ sum = 0.0 for i in lst: sum += i return sum / len(lst) def a_slope(X, Y): """ X, Y : List return a of regression equation y = ax + b """ L, s1, s2 = len(X), 0.0, 0.0
Gln 2010/03/11
python

matplotlib
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