seaborn: statistical data visualization — seaborn 0.13.2 documentation
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery
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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
ã¨ã‚Šã‚ãˆãšæã — matplotlib 1.0 documentation
1次元ã®ãƒªã‚¹ãƒˆã‚’グラフ化¶ 「ãªã‚“ã§ã‚‚ã„ã„ã‹ã‚‰ã¨ã‚Šã‚ãˆãšã‚°ãƒ©ãƒ•å‡ºã—ã¦ã¿ã‚〠ã¨ã„ã†æƒ…ç·’ã®æ¬ 片もãªã„よã†ãªäººã¯ã€ä»¥ä¸‹ã®ã‚³ãƒ¼ãƒ‰ã‚’書ãã¾ã—ょã†ã€‚ #!/usr/bin/env python # -*- coding: utf-8 -*- import matplotlib.pyplot as plt plt.plot( [3,1,4,1,5,9,2,6,5] ) plt.show() グラフ作æˆã«ä½¿ã†ã®ã¯ matplotlib ã® pyplot ã§ã™ãŒã€plt ã¨ã„ã†åå‰ã§ã‚¤ãƒ³ãƒãƒ¼ãƒˆã™ã‚‹ã®ãŒæ…£ä¾‹ã§ã™ã€‚ plt.plot() ã§ãƒªã‚¹ãƒˆã‚’グラフã¨ã—ã¦æ写ã—〠plt.show() ã§ç”»é¢ã«å‡ºåŠ›ã—ã¾ã™ã€‚
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