Pandas.cut specify custom range

Question

Is it possible to specify a custom range in pandas.cut ?

I have a dataset where I need to bin the age column (and several other columns). The min and the max value of age in the dataset is 18 and 55 , respectively. However, in the documentation of the dataset, it is written that the range of the attribute age is 18-58 .

pandas.cut will automatically bin according to the range of the dataset (which will be 18-55 ), which is wrong.

Is there any way I can specify the range to bin on in the pandas.cut method? I looked into IntervalIndex tuples as bins, but that would mean that I generate the bins manually myself. I am looking for if pandas.cut has this functionality built-in.

Answer 1

No, not directly.

However, you could pass np.linspace(18, 58, n_bins) to pd.cut . I'm not sure if you consider that "generating manually".