`pandas.cut` and `pandas.qcut` instead of `bins` and `percentile_bins`?

[kallewesterling]

To optimise the code, would it be possible to replace the package's bins function with pandas.qcut and pandas.cut?

Resources

• https://pbpython.com/pandas-qcut-cut.html

[kallewesterling]

A quick test between the functions below yields no great result.

def bins_new(max, min, numBins):
    return [[interval.left, interval.right] for interval in pd.cut([max, min], numBins).categories]

v.

def bins(max, min, numBins):
    bin_ranges = []
    increment = (max - min) / float(numBins)

    for i in range(numBins - 1, -1, -1):
        a = round(max - (increment * i), 20)
        b = round(max - (increment * (i + 1)), 20)
        bin_ranges.append([b, a])

    return bin_ranges

bins_new: 311 µs ± 4.65 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each) bins: 2.12 µs ± 6.79 ns per loop (mean ± std. dev. of 7 runs, 100,000 loops each)