format_percentiles(percentiles: 'np.ndarray | list[int | float] | list[float] | list[str | float]') -> 'list[str]'
Rounding precision is chosen so that: (1) if any two elements of percentiles
differ, they remain different after rounding (2) no entry is rounded to 0% or 100%. Any non-integer is always rounded to at least 1 decimal place.
Outputs rounded and formatted percentiles.
Keeps all entries different after rounding:
This example is valid syntax, but we were not able to check execution>>> format_percentiles([0.01999, 0.02001, 0.5, 0.666666, 0.9999]) ['1.999%', '2.001%', '50%', '66.667%', '99.99%']
No element is rounded to 0% or 100% (unless already equal to it). Duplicates are allowed:
This example is valid syntax, but we were not able to check execution>>> format_percentiles([0, 0.5, 0.02001, 0.5, 0.666666, 0.9999]) ['0%', '50%', '2.0%', '50%', '66.67%', '99.99%']See :
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.io.formats.format.format_percentiles
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