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This article shows you how to use np.finfo in numpy. The content is concise and easy to understand. It will definitely brighten your eyes. I hope you can get something through the detailed introduction of this article.

Example: "" the np.finfo method eps is a small non-negative division whose denominator cannot be 0, or it will directly pop up to display an error. Use eps to replace the possible petty eps so that no error will be reported. "" Import numpy as npx = np.array ([1,2,3], dtype=float) eps = np.finfo (x.dtype). Eps # eps = 2.220446049250313e-16 type= print (eps, type (eps)) height = np.array ([0,2,3], dtype=float) height = np.maximum (height, eps) # once 0 appears in height Replace print (height) # [2.22044605e-16 2.00000000e+00 3.00000000e+00] dy = x / heightprint (dy) # [4.50359963e+15 1.00000000e+00 1.00000000e+00] with eps

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