Hi all, I hope this is the correct way to propose a new feature. https://github.com/numpy/numpy/issues/22522
Currently, the around-function supports rounding to a given number of decimal digits. It is often quite convenient to be able to round to a given number of binary digits to mimic fixed-point representations. Currently this can be readily achieved using e.g. fractional_bits = 5 scale = 2**fractional_bits x_round = np.around(x*scale)/scale However, it would be more convenient (and probably faster) to provide dedicated support for it. I see a few different ways to obtain this: 1. Provide a separate function (binaryround?) 2. Provide a base argument to around which defaults to 10. 3. Provide a quant(ization) function where the argument is the step-size. (For completeness, one may think of having multiple quantization modes, not just rounding) Any opinions? BR Oscar Gustafsson
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