numpy数据类型的最大允许值 [英] Maximum allowed value for a numpy data type

问题描述

我正在使用一系列数据类型(uint8，uint16，int16等)的numpy数组.我希望能够检查是否可以在给定数据类型的数组范围内表示数字.我正在想象看起来像这样的东西:

I am working with numpy arrays of a range of data types (uint8, uint16, int16, etc.). I would like to be able to check whether a number can be represented within the limits of an array for a given datatype. I am imagining something that looks like:

>>> im.dtype
dtype('uint16')
>>> dtype_max(im.dtype)
65535
>>> dtype_min(im.dtype)
0

是否存在类似的东西?顺便说一句，我觉得以前必须问这个问题，但是我的搜索空了，所有类似问题"似乎都不相关.

Does something like this exist? By the way, I feel like this has to have been asked before, but my search came up empty, and all of the "similar questions" appear to be unrelated.

当然，既然我已经问过，那么相关"问题之一确实具有答案.哎呀.

Of course, now that I've asked, one of the "related" questions does have the answer. Oops.

推荐答案

min_value = np.iinfo(im.dtype).min
max_value = np.iinfo(im.dtype).max

docs:

docs:

• np.iinfo (整数类型的机器限制)
• np.finfo (浮点类型的计算机限制)

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