otp.qcut#
- qcut(column, q, labels=None)#
Quantile-based discretization function (mimics pandas.qcut).
- Parameters
column (
Column
) – Column with numeric data used to build bins.When List[float] - array of quantiles, e.g. [0, .25, .5, .75, 1.] for quartiles.
When int - Number of quantiles. 10 for deciles, 4 for quartiles, etc.
labels (List[str]) – Labels used to name resulting bins. If not set, bins are numeric intervals like (5.0000000000, 7.5000000000].
- Return type
object that can be set to
Column
via__setitem__()
Examples
>>> data = otp.Ticks({"X": [10, 3, 5, 6, 7, 1]}) >>> data['bin'] = otp.qcut(data['X'], q=3, labels=['a', 'b', 'c']) >>> otp.run(data)[['X', 'bin']] X bin 0 10 c 1 3 a 2 5 b 3 6 b 4 7 c 5 1 a