Python: NumPyã§ç›¸é–¢ä¿‚数を求ã‚ã‚‹
覚書。numpy.corrcoefを使ã†ã€‚ from numpy import corrcoef print corrcoef([1, 2, 3, 4, 5], [1, 2, 2, 5, 5]) 出力çµæžœ: [[ 1. 0.92966968] [ 0.92966968 1. ]] 入力データã®ãã‚Œãžã‚Œã®çµ„ã¿åˆã‚ã›ã«å¯¾ã™ã‚‹ç›¸é–¢ä¿‚æ•°ãŒè¡Œåˆ—ã¨ã—ã¦å‡ºåŠ›ã•ã‚Œã‚‹ã€‚2データã®ç›¸é–¢ä¿‚æ•°ã¯å³ä¸Šã‹å·¦ä¸‹ã®å€¤ã¨ãªã‚‹ã€‚
NumPy for Matlab Users -
Introduction MATLAB® and NumPy/SciPy have a lot in common. But there are many differences. NumPy and SciPy were created to do numerical and scientific computing in the most natural way with Python, not to be MATLAB® clones. This page is intended to be a place to collect wisdom about the differences, mostly for the purpose of helping proficient MATLAB® users become proficient NumPy and SciPy users.
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Routines and objects by topic — NumPy v2.4 Manual
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