Maximum allowed value for a numpy data type
numpy, python
Solution
min_value = np.iinfo(im.dtype).min
max_value = np.iinfo(im.dtype).max
docs:
- `np.iinfo` (machine limits for integer types)
- `np.finfo` (machine limits for floating point types)
Problem
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 ``` 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. Edit: Of course, now that I've asked, one of the "related" questions does have the answer. Oops.