Rescale values in a 3d numpy array

Question

I have a 3 dimensional numpy array with values ranging from 0 to 1.06. I need to rescale them between 0 and 255. How to achieve this?

Does this answer your question? [How to normalize a NumPy array to within a certain range?](https://stackoverflow.com/questions/1735025/how-to-normalize-a-numpy-array-to-within-a-certain-range) — Stas Buzuluk, Dec 25 '19 at 12:01

score 4 · Accepted Answer · answered Dec 25 '19 at 11:53

You just divide these by 1.06 and then multiply these with 255. So if a is your array, you can construct a rescaled array b with:

b = 255 * a / 1.06

If you want to make these integers (or bytes), you can use:

(255 * a / 1.06).astype(int)

or np.uint8 for bytes.

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