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sendai 2017/02/17
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matplotlib

Python

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matplotlibã§å¿˜ã‚ŒãŒã¡ãªæ–‡æ³•ã¾ã¨ã‚ - Qiita
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sendai 2017/02/14
matplotlib
ãƒªãƒ³ã‚¯
matplotlib - memoring
memoring ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ã‚¿ã‚’ç ”ç©¶ã«ä½¿ã†ãŸã‚ã®ç§çš„ãƒ¡ãƒ¢ã€‚Pythonã€Fortranã€Ubuntuã€etc... ãƒˆãƒƒãƒ—ãƒšãƒ¼ã‚¸ãƒšãƒ¼ã‚¸ä¸€è¦§ãƒ¡ãƒ³ãƒãƒ¼æŽ²ç¤ºæ¿ç·¨é›† Ã— matplotlib æœ€çµ‚æ›´æ–°ï¼š miyacdoorÂ 2014å¹´03æœˆ07æ—¥(é‡‘) 11:35:22å±¥æ´ Tweet åŸºæœ¬ ã‚¤ãƒ³ãƒãƒ¼ãƒˆ ãƒ—ãƒãƒƒãƒˆ å›³ã‚’é–‰ã˜ã‚‹ ã‚¢ã‚¯ãƒ†ã‚£ãƒ–ãªã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã®å–å¾— ã‚«ãƒ¬ãƒ³ãƒˆaxisã‚’å¤‰æ›´ã™ã‚‹ã€‚ GUIã§ã®æ“ä½œ ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–ãƒ¢ãƒ¼ãƒ‰ å›³ã®å¤§ãã•ãƒ»é…ç½®ãƒ»è‰² ã‚ãƒ£ãƒ³ãƒã‚¹ã®ã‚µã‚¤ã‚ºãƒ»è§£åƒåº¦ã‚’è¨å®šã™ã‚‹ã€‚ å›³ã®ä½™ç™½ èƒŒæ™¯ã‚’é€æ˜Žã«ã™ã‚‹ã€‚ è‰²ã®å·¡å›žãƒ‘ã‚¿ãƒ¼ãƒ³ã‚’æŒ‡å®šã™ã‚‹ã€‚ ãƒžãƒ«ãƒãƒ—ãƒãƒƒãƒˆ è¤‡æ•°ã®å›³ã‚’æã ã‚µã‚¤ã‚ºã®é•ã†å›³ã‚’ä¸¦ã¹ã‚‹ AxesGrid toolkit ãƒžãƒ«ãƒãƒ—ãƒãƒƒãƒˆã‚’ã‚¿ã‚¤ãƒ«çŠ¶ã«é…ç½®ã™ã‚‹ å‡¡ä¾‹ å‡¡ä¾‹ã‚’è¡¨ç¤º ã‚ªãƒ—ã‚·ãƒ§ãƒ³ å‡¡ä¾‹ã®ä½ç½®ã‚’è‡ªç”±ã«æ±ºã‚ã‚‹ å‡¡ä¾‹ã®ãƒ•ã‚©ãƒ³ãƒˆã‚µã‚¤ã‚ºã‚’å¤‰ãˆã‚‹ å‡¡ä¾‹ã®è¡¨ç¤ºé †åºã‚’é€†ã«ã™ã‚‹ã€‚ åˆ¤ä¾‹ã‚’è¤‡æ•°åˆ—ã«ã—
sendai 2017/02/14
matplotlib

Python
ãƒªãƒ³ã‚¯
matplotlibã¨Basemap ãã®1
matplotlibã«Basemapã‚’åˆã‚ã›ã¦ä½¿ã†ã¨ã€åœ°å›³ä¸Šã¸ã®ãƒ—ãƒãƒƒãƒˆãŒã§ãã‚‹ã‚ˆã†ã«ãªã‚‹ã€‚ BasemapãŒã‘ã£ã“ã†å¥½ãã€‚ Pythonxyã®ãƒ›ãƒ¼ãƒ ãƒšãƒ¼ã‚¸ã®AdditionalPluginsã®ä¸ã«ã‚‚å…¥ã£ã¦ã‚‹ã—ã€å°Žå…¥ã‚‚ã¡ã‚‡ã‚ã„ã€‚ Plotting data on a map (Example Gallery)ã«ã‚ã‚‹ä¾‹ã‚’å‚è€ƒã«ã€ç°¡å˜ãªãŠçµµã‹ãã‚’ã—ã¦ã¿ãŸã€‚ # -*- coding: utf-8 # ç°¡å˜ãªåœ°å›³ä¸Šã¸ã®ãƒ—ãƒãƒƒãƒˆ import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap # ãƒ•ã‚©ãƒ³ãƒˆã®æŒ‡å®šï¼ˆâ€»ãã‚Œãžã‚Œã®ç’°å¢ƒã§ç•°ãªã‚‹ï¼‰ import matplotlib.font_manager as fm prop_e = fm.FontProperties(fname='
sendai 2017/02/13
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basemap

matplotlib

python
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Jupyter Notebook Viewer
Matplotlibã§ã‚°ãƒ©ãƒ•ã®åº§æ¨™è»¸ã®å‘ãã‚’åè»¢ã•ã›ã‚‹æ–¹æ³•Â¶æ¡‚èª INDEX 3ã¤ã®æ–¹æ³•ã‚’æŒ™ã’ã¾ã™ã€‚ xlim,ylimã®å€¤ã‚’æ•°å€¤ã§ç›´æŽ¥æ›¸ãè¾¼ã‚€æ–¹æ³• PyplotãŒè¨å®šã—ãŸxlim,ylimã®å€¤ã‚’èªã¿å‡ºã—ã€åè»¢ã—ã¦æ›¸ãè¾¼ã‚€æ–¹æ³• è¦‹ãŸç›®ã¯ä¸€è¦‹ã‚¹ãƒžãƒ¼ãƒˆã ãŒã€IIã¨ç‰ä¾¡ãªæ–¹æ³• def plot_test(): x=np.arange(-10,10) y=(0.1*x)**3 plt.plot(x,y,'ko') plt.grid() plot_test()
sendai 2017/02/07
ã‚°ãƒ©ãƒ•ã®è»¸åè»¢

Jupyter

matplotlib
ãƒªãƒ³ã‚¯
seabornã§Matplotlibã®è¦‹ãŸç›®ã‚’è‰¯ãã™ã‚‹ | note.nkmk.me
seabornã¯matplotlibãƒ™ãƒ¼ã‚¹ã®çµ±è¨ˆãƒ‡ãƒ¼ã‚¿ãƒ“ã‚¸ãƒ¥ã‚¢ãƒ©ã‚¤ã‚¼ãƒ¼ã‚·ãƒ§ãƒ³ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚ Seaborn is a Python visualization library based on matplotlib. seaborn: statistical data visualization â€” seaborn 0.6.0 documentation statisticalã¨éŠ˜æ‰“ã£ã¦ã„ã‚‹ã ã‘ã‚ã£ã¦ã€çµ±è¨ˆçš„ãªãƒ‡ãƒ¼ã‚¿ã‚’ãƒ—ãƒãƒƒãƒˆã™ã‚‹ãŸã‚ã®æ©Ÿèƒ½ãŒãŸãã•ã‚“ç”¨æ„ã•ã‚Œã¦ã„ã‚‹ãŒã€æ™®é€šã®æŠ˜ã‚Œç·šã‚°ãƒ©ãƒ•ã®è¦‹ãŸç›®ã‚’è‰¯ãã™ã‚‹ãŸã‚ã ã‘ã«ã‚‚ä½¿ãˆã‚‹ã€‚ import numpy as np import matplotlib.pyplot as plt import seaborn as sns sns.set() sns.set_style("whitegrid", {'grid.linestyle': '--'})
sendai 2017/02/07
Python

matplotlib

seaborn
ãƒªãƒ³ã‚¯
matplotlibå…¥é–€ - ã‚Šã‚“ã”ãŒã§ã¦ã„ã‚‹
matplotlibã¯Pythonã§ã‚°ãƒ©ãƒ•ã‚’æç”»ã™ã‚‹ã¨ããªã©ã«ä½¿ã‚ã‚Œã‚‹æ¨™æº–çš„ãªãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ã€‚ ç”»åƒãƒ•ã‚¡ã‚¤ãƒ«ã‚’ä½œã‚‹ã°ã‹ã‚Šã§ãªãã€ç°¡å˜ãªã‚¢ãƒ‹ãƒ¡ãƒ¼ã‚·ãƒ§ãƒ³ã‚„ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–ãªã‚°ãƒ©ãƒ•ã‚’ä½œã‚‹ã“ã¨ã‚‚å¯èƒ½ã§ã™ã€‚ å®Ÿéš›ã®ä¾‹ã¯matplotlibã‚µã‚¤ãƒˆã®ã‚®ãƒ£ãƒ©ãƒªãƒ¼ã§è¦‹ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ matplotlib/gallery matplotlibã¯æœ¬å®¶ã®ã‚µã‚¤ãƒˆã‚„ã©ã“ã‹ã®ãƒ–ãƒã‚°ã«ã‚ã‚‹ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã‚„ä¾‹ã‚’æç”»ã—ã¦ã¿ã‚‹ã¶ã‚“ã«ã¯ç°¡å˜ãªã®ã§ã™ãŒã€ å®Ÿéš›ã«è‡ªåˆ†ã§ãƒ—ãƒãƒƒãƒˆã™ã‚‹ã¨ãªã‚‹ã¨åŸºç¤Žçš„ãªæ¦‚å¿µã‚’ç†è§£ã—ã¦ã„ãªã„ã¨ä½¿ã„ã«ãã„ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã‚‚ã‚ã‚Šã¾ã™ã€‚ ã¾ãŸã€åŸºç¤Žçš„ãªæ¦‚å¿µã‚’ç†è§£ã—ã¦ã„ãªã„ã¨ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆã‚’å‚ç…§ã™ã‚‹éš›ã«ã‚‚ã©ã“ã‚’è¦‹ã¦ã€ã©ã†å®Ÿç”¨ã™ã‚Œã°ã„ã„ã®ã‹ã‚ã‹ã‚Šã¾ã›ã‚“ã€‚ ãã“ã§ã€ã“ã®è¨˜äº‹ã§ã¯ãã®ã‚ãŸã‚Šã®matplotlibã®åŸºç¤Žã‚’è§£èª¬ã—ã¦ã„ãã¾ã™ã€‚ ãªãŠã€Pythonè‡ªä½“ã®çŸ¥è˜ã¯ã‚ã‚‹ç¨‹åº¦ä»®å®šã—ã¦ã„ã¾ã™ãŒã€matplotlibè‡ªä½“ã®å®Ÿè£…
sendai 2015/11/12
Python

matplotlib

pyplot
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