How to use 'pandas quantiles' in Python
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16 def quantiles(data, qs): 17 N = data.shape[0] 18 qs = numpy.array(qs) 19 sdata = numpy.msort(data) 20 return sdata[_v_ceil(qs*N)-1]
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5 def create_quantiles(items: Sequence, lower_bound, upper_bound): 6 """Create quantile start and end boundaries.""" 7 8 interval = (upper_bound - lower_bound) / len(items) 9 10 quantiles = ((g, (x - interval, x)) for g, x in 11 zip(items, accumulate(repeat(interval, len(items))))) 12 13 return quantiles