def axis_format_precision()

in spotify_confidence/analysis/confidence_utils.py [0:0]

• 8 lines of code
• 4 McCabe index (conditional complexity)

def axis_format_precision(numbers: Series, absolute: bool, extra_zeros: int = 0) -> Tuple[str, float, float]:
    min_value, max_value = _get_finite_bounds(numbers)

    if max_value == min_value:
        return "0.00", min_value, max_value

    extra_zeros += 2 if absolute else 0
    precision = -int(np.log10(abs(max_value - min_value))) + extra_zeros
    zeros = "".join(["0"] * precision)
    return "0.{}{}".format(zeros, "" if absolute else "%"), min_value, max_value