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Iris ãƒ‡ãƒ¼ã‚¿ã§ã€ç®±ã²ã’å›³boxplotã¨dotplot, matplotlib, - ç¶šãƒ»ãˆã¡ã”ã‚„ã‚“å€‹äººãƒ¡ãƒ¢ã®ãƒ–ãƒã‚°
Irisãƒ‡ãƒ¼ã‚¿ã¯ã€ ä¾‹ãˆã°æ¬¡ã®ã‚µã‚¤ãƒˆã‹ã‚‰csvãƒ‡ãƒ¼ã‚¿ã‚’å…¥æ‰‹ã§ãã‚‹ã€‚ https://vincentarelbundock.github.io/Rdatasets/datasets.html ã¨ã„ã†ã‚µã‚¤ãƒˆã‹ã‚‰ Package It em Title Rows Cols datasets iris Edgar Anderson's Iris Data 150 5 ã®CSVã‚’ã‚¯ãƒªãƒƒã‚¯ï¼†ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã§ã€ãƒ‡ãƒ¼ã‚¿å–ã£ã¦æ¥ã‚‹ã®ãŒä¸€ã¤ã®æ–¹æ³•ã§ã€‚ pythonã§ã€æ©Ÿæ¢°å¦ç¿’ã®sklearnã¨ã„ã†ãƒ©ã‚¤ãƒ–ãƒ©ãƒªãƒ¼ã‹ã‚‰datasetã‚’importã—ã¦ã£ã¦æ–¹æ³•ã‚‚ã‚ã‚‹ã€‚ ï¼ˆè¿½è¨˜: 2017-05-23ï¼‰ #!/usr/bin/env python import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplo
H58 2020/10/31
python

matplotlib
ãƒªãƒ³ã‚¯
Pythonã®å¯è¦–åŒ–ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®ä½¿ã„åˆ†ã‘ - Qiita
Deleted articles cannot be recovered. Draft of this article would be also deleted. Are you sure you want to delete this article? Pythonã§å¯è¦–åŒ–ã¨ã„ãˆã°Matplotlibã ã‘ã©ã€APIãŒã”ã¡ã‚ƒã¡ã‚ƒã—ã¦ã„ã¦è¦šãˆã«ãã„ã®ãŒé›£ç‚¹ã‹ãªã€‚BokehãŒAPIã‚‚ã†ã¾ãæ•´ç†ã•ã‚Œã¦ã„ã¦ä¸€ç•ªä½¿ã„å‹æ‰‹ãŒã„ã„æ°—ãŒã™ã‚‹ã‘ã©ã€ã¾ã ã¾ã æ—¥æœ¬èªžã®æƒ…å ±ãŒå°‘ãªã„ã®ãŒæƒœã—ã„ã¨ã“ã‚ã€‚ ã“ã‚Œã‹ã‚‰ã¯Webã«ã‚‚å¯¾å¿œã§ãã‚‹BokehãŒä¼¸ã³ã¦ãã‚‹ã‚“ã˜ã‚ƒãªã„ã‹ã¨å‹æ‰‹ã«æœŸå¾…ã—ã¦ã„ã‚‹ã€‚ ãŠã™ã™ã‚ã®ä½¿ã„åˆ†ã‘æ–¹ ç°¡å˜ãªãƒ‡ãƒ¼ã‚¿ã‚’æ‰‹æ—©ããƒ—ãƒãƒƒãƒˆã™ã‚‹ãªã‚‰ Matplotlib MATLABã‹ã‚‰Pythonã«ä¹—ã‚Šæ›ãˆãŸãªã‚‰ Matplotlib ã‹ã£ã“ã‚ˆãäººã«è¦‹ã›ãŸã„ãªã‚‰ Bokeh å¯¾è©±æ“ä½œã‚’å…¥ã‚ŒãŸã„ãªã‚‰ Bokeh ã‚°
H58 2017/05/05
seaborn

python

matplotlib

bokeh

visualization
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How to make beautiful data visualizations in Python with matplotlib | Dr. Randal S. Olson
Published on June 28, 2014 by Dr. Randal S. Olson graphic design matplotlib python tutorial visualization 14 min READ Want to learn more about data visualization with Python? Take a look at my Data Visualization Basics with Python video course on O'Reilly. It's been well over a year since I wrote my last tutorial, so I figure I'm overdue. This time, I'm going to focus on how you can make beautiful
H58 2015/02/05
pretty plot, ggplot, matplotlib, python libsâ€¦ çµ±è¨ˆãƒ‡ãƒ¼ã‚¿ã®è¦–è¦šåŒ–ã€‚matplotlibã‚’pythonã§ä½¿ã£ã¦ã€ã©ã‚“ãªãã‚Œã„ãªã‚°ãƒ©ãƒ•ã‚’æãã¾ã—ã‚‡ã†ã‹ãã€‚

python

matplotlib
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Mathesaurus
Thesaurus of Mathematical Languages, or MATLAB synonymous commands in Python/NumPy The idea of the "Mathesaurus" is to provide a quick reference for switching to open-source mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples of well known systems are Matlab, IDL, SPlus, with their open-source counterparts Octave, Scilab, Python (with Num
H58 2013/11/25
python

reference

R

matplotlib
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@airtoxinã®ãƒžã‚¤ãƒšãƒ¼ã‚¸ - Qiita
posted articles:Python:38%JavaScript:23%IPython:6%pandas:6%python_for_data_analysis:6%
H58 2013/11/08
python

matplotlib

graph
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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(
H58 2013/10/26
matplotlib

python

graph
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Pythonã§ãƒ’ã‚¹ãƒˆã‚°ãƒ©ãƒ - akiyoko blog
å‰å›žã€ŒPythonã§Excelæ“ä½œã€ã®ç¶šãã§ã€ä»Šå›žã¯ã€Excelã‹ã‚‰å–å¾—ã—ãŸãƒ‡ãƒ¼ã‚¿ã‚’ä½¿ã£ã¦Pythonã§ãƒ’ã‚¹ãƒˆã‚°ãƒ©ãƒ ã‚’æã“ã†ã¨æ€ã„ã¾ã™ã€‚ matplotlib ã®ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« ã‚°ãƒ©ãƒ•æç”»ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã«ã¯ã€ã€Œmatplotlibã€ã‚’ä½¿ã„ã¾ã™ã€‚ $ sudo easy_install matplotlib matplotlib 1.2.1 ãŒã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã‚Œã¾ã—ãŸã€‚ ãƒ’ã‚¹ãƒˆã‚°ãƒ©ãƒ æç”» matplotlibã®ä½¿ã„æ–¹ã«ã¤ã„ã¦ã¯ã€miyacdoorã•ã‚“ã®ã‚µã‚¤ãƒˆ ãŒæœ¬å½“ã«è©³ã—ã„ã§ã™ã€‚ å¤§å¤‰å‚è€ƒã«ãªã‚Šã¾ã—ãŸã€‚ ãƒ’ã‚¹ãƒˆã‚°ãƒ©ãƒ ã‚’æç”»ã™ã‚‹ã«ã¯ Axesã‚¯ãƒ©ã‚¹ã® hist() ã‚’ä½¿ã†ã®ã§ã™ãŒã€ãƒ‘ãƒ©ãƒ¡ãƒ¼ã‚¿ãŒå¤šéŽãŽã¦æ‰€è¦‹ã§ã¯åˆ†ã‹ã‚‰ãªã„ã¨æ€ã„ã¾ã™ã€‚ãã“ã§ã€ã„ã‚ã„ã‚è©¦ã—ãŸãªã‚Šã«åˆ†ã‹ã£ãŸã“ã¨ã‚’ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚é–“é•ã„ç‰ã‚ã‚Œã°æ•™ãˆã¦ãã ã•ã„ã€‚ hist(x, bins=10, range=None, normed=Fals
H58 2013/10/25
matplotlib

python
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matplotlibã‚’ä½¿ã† - white wheelsã®ãƒ¡ãƒ¢
matplotlibã¯pythonã§ã‚°ãƒ©ãƒ•ã‚’æããŸã‚ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ã€‚numpyãªã©ã¨çµ„ã¿åˆã‚ã›ã‚‹ã¨ç°¡æ˜“matlabã®ã‚ˆã†ãªç’°å¢ƒã‚’æ•´ãˆã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« å…¬å¼ã‚µã‚¤ãƒˆâ†’http://matplotlib.sourceforge.net/index.html matplotlib 0.99.1 is available for downloadã®ã¨ã“ã‚ã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã§ãã¾ã™ã€‚Windowsç”¨ã®ç°¡æ˜“ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ©matplotlib-0.99.1.win32-py2.6.exeã‚’ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ã¾ã™ã€‚ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã¯ã“ã‚Œã§ç°¡å˜ã«ã§ãã¾ã™ã€‚ ã‚°ãƒ©ãƒ•ã‚’æã plotã‚³ãƒžãƒ³ãƒ‰ã§ãƒ—ãƒãƒƒãƒˆã™ã‚‹ç‚¹ã®xyåº§æ¨™ã‚’å®šã‚ã¾ã™ã€‚ä¸‹ã®ä¾‹ã§ã¯ã€x=0,1,2,y=2,3,4ã®ã‚°ãƒ©ãƒ•ã‚’ã€xè»¸0-5,yè»¸0-8ã®ç¯„å›²ã§æç”»ã—ã¾ã™ã€‚grid()ãƒ¡ã‚½ãƒƒãƒ‰ã§ã‚°ãƒªãƒƒãƒ‰ã‚’è¡¨ç¤ºã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ import matplot
H58 2013/10/25
matplotlib

graph

python
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Python for Data Analysis Chapter 3 - Qiita
IPython:An Interactive Computing and Development Enviroment iPythonã‚ã£ã¡ã‚ƒä¾¿åˆ©ã ã‹ã‚‰ä½¿ã†ã¨ã„ã„ã‚ˆï¼ ãƒ‡ãƒ¼ã‚¿ã®è¡¨ç¤ºã‚’ç¶ºéº—ã«ã—ã¦ãã‚Œã‚‹ tabã‚ãƒ¼ã§è£œå®Œã§ãã‚‹ ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã®å¾Œã«?ã‚’ã¤ã‘ã‚‹ã¨è©³ç´°ãªæƒ…å ±ãŒè¦‹ã‚Œã‚‹ numpy.ndarray.T? ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã®å¾Œã«??ã‚’ã¤ã‘ã‚‹ã¨ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ãŒèªã‚ã‚‹ï¼ˆè¦‹ã‚Œã‚‹æ™‚ã ã‘ï¼‰ ?ã§ãƒãƒ¼ãƒ ã‚¹ãƒšãƒ¼ã‚¹ã®æ¤œç´¢ã‚‚ã§ãã‚‹ï¼ numpy.*save*? %runã§ã‚¹ã‚¯ãƒªãƒ—ãƒˆã®å®Ÿè¡Œã‚‚ã§ãã‚‹ï¼ %run hello_world.py %pasteã‚’ä½¿ãˆã°ç©ºç™½è¡Œä»˜ãã®ã‚¹ã‚¯ãƒªãƒ—ãƒˆã§ã‚‚ã‚³ãƒ”ãƒšã§å®Ÿè¡Œã§ãã‚‹ï¼ ã‚¤ãƒ³ãƒ‡ãƒ³ãƒˆä»˜ãã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã‚’ã‚³ãƒ”ãƒšã™ã‚‹ã¨ã†ã¾ãã‚¤ãƒ³ãƒ‡ãƒ³ãƒˆãŒæ•´å½¢ã•ã‚Œãšã«ãƒšãƒ¼ã‚¹ãƒˆã•ã‚Œã¦ã—ã¾ã†ã€‚iPythonä¸Šã§%pasteã™ã‚‹ã¨ç©ºç™½è¡Œä»˜ãã§ãƒšãƒ¼ã‚¹ãƒˆã•ã‚Œã‚‹ã®ã§ã¡ã‚ƒã‚“ã¨å®Ÿè¡Œã§ãã‚‹ã€‚ %cpasteã§å¥½ãæ”¾é¡Œã«ãƒšãƒ¼
H58 2013/10/25
matplotlib

python
ãƒªãƒ³ã‚¯
Python for Data Analysis Chapter 2 - Qiita
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H58 2013/10/25
pandas

python

graph

matplotlib
ãƒªãƒ³ã‚¯
ã¯ã¦ãªãƒ–ãƒã‚° | ç„¡æ–™ãƒ–ãƒã‚°ã‚’ä½œæˆã—ã‚ˆã†
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H58 2013/10/24
matplotlib

graph
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matplotlibã§å›³ã®ç¸¦æ¨ªæ¯”ã«é–¢ã™ã‚‹ã‚ã‚Œã“ã‚Œ - bettamodokiã®ãƒ–ãƒã‚°
matplotlibã‚’ç”¨ã„ã¦å›³ã‚’ä½œæˆã™ã‚‹éš›ã«, ç¸¦æ¨ªæ¯”ã‚’ã©ã†ã™ã‚Œã°å¤‰ãˆã‚‰ã‚Œã‚‹ã®ã‹èžã‹ã‚ŒãŸã®ã§ã‚ã‚Œã“ã‚Œè€ƒãˆã¦ã¿ãŸãŒ, ä»Šã²ã¨ã¤æ±ºå®šæ‰“ãŒç„¡ã„. æ–¹æ³•1. Figureè‡ªä½“ã®ç¸¦æ¨ªæ¯”ã‚’æŒ‡å®šã™ã‚‹. from matplotlib.figure as figure fig = plt.figure(figsize=matplotlib.figure.figaspect(1)) ã¨ã™ã‚‹ã¨å›³å…¨ä½“ã®ç¸¦æ¨ªæ¯”ãŒ1ã«ãªã‚‹. åˆ©ç‚¹ã¯ä¸ã«æç”»ã•ã‚Œã‚‹ã‚‚ã®ã«ä¿‚ã‚ã‚‰ãšç¸¦æ¨ªæ¯”ã‚’æŒ‡å®šã§ãã‚‹äº‹ã ãŒ, é€†ã«è¨€ã†ã¨ãƒ—ãƒãƒƒãƒˆéƒ¨åˆ†ãŒã“ã®ç¸¦æ¨ªæ¯”ã«ãªã‚‹ã‚ã‘ã§ã¯ãªã„. æ–¹æ³•2. Axesã®ã‚µã‚¤ã‚ºã‚’æŒ‡å®šã™ã‚‹. w, h = fig.get_figwidth(), fig.get_figheight() ax = fig.add_axes((0.5 - 0.5 * 0.8 * h / w, 0.1, 0.8 * h / w, 0.8)) é€šå¸¸,
H58 2013/10/24
python

matplotlib

graph
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OpenTechSchool â€“ Creating Charts
H58 2013/10/22
python

matplotlib

graph
ãƒªãƒ³ã‚¯
OpenTechSchool â€“ Introduction to Data Processing with Python
This is the course content for Introduction to Data Processing with Python, which has been developed and maintained by OpenTechSchool. Welcome Welcome to Introduction to Data Processing with Python. In this workshop we will take you through the fundamentals of working with text and other types of data with Python. Weâ€™ll learn how to read data from files into data structures in our program, to extr
H58 2013/10/22
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python

matplotlib
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matplotlib/plot - 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/plot æœ€çµ‚æ›´æ–°ï¼š miyacdoorÂ 2013å¹´10æœˆ26æ—¥(åœŸ) 23:40:04å±¥æ´ Tweet matplotlib.pyplotã‚’pltã¨ã—ã¦ã‚¤ãƒ³ãƒãƒ¼ãƒˆã—ã¦ãŠãã€‚ æŠ˜ã‚Œç·š æŠ˜ã‚Œç·šé–“ã‚’å¡—ã‚Šã¤ã¶ã™ ç ´ç·šã®ã‚¹ã‚¿ã‚¤ãƒ«ã‚’ä»»æ„ã«è¨å®šã™ã‚‹ ãƒ’ã‚¹ãƒˆã‚°ãƒ©ãƒ æ•£å¸ƒå›³ æ•£å¸ƒå›³ã«ã‚°ãƒ©ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ã‚’ã¤ã‘ã‚‹ã€‚ æ£’ã‚°ãƒ©ãƒ• 2æ¬¡å…ƒåº§æ¨™ã¸ã®ãƒ—ãƒãƒƒãƒˆ åŸºæœ¬ ã‚³ãƒ³ã‚¿ãƒ¼ è² ã®ã‚³ãƒ³ã‚¿ãƒ¼ã®ç·šç¨®ã‚’æŒ‡å®šã™ã‚‹ã€‚ ã‚³ãƒ³ã‚¿ãƒ¼é–“éš”ã‚’æŒ‡å®šã™ã‚‹ ç‰é–“éš”ã§ã‚³ãƒ³ã‚¿ãƒ¼ã‚’ã²ã ã‚³ãƒ³ã‚¿ãƒ¼ãƒ©ãƒ™ãƒ«ã‚’ã¤ã‘ã‚‹ ã‚³ãƒ³ã‚¿ãƒ¼ãƒ©ãƒ™ãƒ«ã‚’ã¤ã‘ã‚‹å€¤ã‚’æŒ‡å®šã™ã‚‹ã€‚ å¡—ã‚Šã¤ã¶ã—ã‚³ãƒ³ã‚¿ãƒ¼ï¼ˆcontourfï¼‰ å¡—ã‚Šã¤ã¶ã—ã®ä¸Šé™ãƒ»ä¸‹é™ã€æœªå®šç¾©å€¤ã®è‰²ã‚’æŒ‡å®šã™ã‚‹ éžç‰é–“éš”ã®å€¤ã«å¯¾ã—ã¦ã‚«ãƒ©ãƒ¼ãƒžãƒƒãƒ—ã‚’ç‰é–“éš”ã«
H58 2013/10/22
graph, plt

graph

matplotlib

python
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matplotlib - memoring
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H58 2013/10/22
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matplotlib

Python
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H58 2013/10/22
matplotlib

python

graph
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2012-12-31
ç¸®å°ã—ãŸå›³: ç¸®å°ã—ãªã„å›³: fig.subplots_adjust(top=0.7) ã¨ã—ã€å›³ã®ä¸Šå´ã«ç©ºãã‚’ä½œã‚‹ã€‚ #!/usr/bin/env python import random import matplotlib.pyplot as plt def plot(): xval = [random.normalvariate( 50,100) for i in range(10000)] yval = [random.normalvariate(-50,100) for i in range(10000)] fig = plt.figure() ax = fig.add_subplot(1,1,1) ax.set_xlim([-400,400]) ax.set_ylim([-400,400]) ax.grid() ax.plot(xval,yval,linestyle="None"
H58 2013/08/03
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python

matplotlib
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